434 Microstrategy Jobs - Page 8

5+ years of Commercial Analytics experience in Pharma/Healthcare industry (must have). Excellent communication skills. Strong stakeholder and project management skills. Good proficiency in SQL(must have). Working Knowledge of Snowflake, good to have. Knowledge of at least one BI tool, Microstrategy preferred. Should have worked on Commercial and Call Activity data. Exposure to pharma datasets from IMS, IQVIA or other similar vendors

The SAP FICO Lead will provide subject matter expertise on SAP S/4 HANA FICO functionality in a global business transformation program, using SAP S/4 HANA as a platform The FICO Lead will also be responsible for securing design as per global template, signing off RICEFW (Reports, Interface, Conversion, Enhancements, Forms and Workflow) provided by SI partner Duties and Responsibilities: SAP S/4 HANA FICO SME is a hands-on position for securing design and delivering efficiently from the SI supplier The role works closely together with the SAP S4/HANA process and architecture team and is accountable that the SAP Financial accounting and controlling (FICO) function of the application portfolio is in accordance with the policies and in particular with the agreed collaboration rules established with the teams in charge of Projects and Application Management Requirements Requirements Experience in configuring New GL,AP/AR, AA, PCA PCA GAAP, foreign currency evaluation and country specific taxation and localizations S/4 HANA exp required Good working experience in SAP FICO Experience in Treasury /BCM S/4 HANA on cloud Understanding of cloud integration Experience with basis PR/PO Processes Experience in Sales contract and billing Knowledge on SAP Best Practices with technical implementation experience and command over SAP Implementation Methodology Eligibility A bachelors degree from an accredited college/university Good to have CA Intern/ CA Qualified Must have experience in Retail/Fashion industry 10+ years of experience in SAP implementation or SAP business process improvement, specifically in the areas of finance and/or controlling (FICO) Minimum of 3 full lifecycle implementation completed (blueprint through testing) plus some activity on other projects Recent experience in external management consulting in a leadership capacity, managing teams and delivery engagements, managing clients and building revenue capabilities through business development

Primary Tool & Expertise: Power BI and Semantic modelling Key Project Focus: Leading the migration of legacy reporting systems (Cognos or MicroStrategy) to Power BI solutions. Core Responsibility: Build / Develop optimized semantic models , metrics and complex reports and dashboards Work closely with the business analysts / BI teams to help business teams drive improvement in key business metrics and customer experience Responsible for timely, quality, and successful deliveries Sharing knowledge and experience within the team / other groups in the org Lead teams of BI engineers translate designed solutions to them, review their work, and provide guidance. Manage client communications and deliverables Core BI Skills: Power BI (Semanti Modelling, DAX, Power Query, Power BI Service) Data Warehousing Data Modeling Data Visualization SQL Datawarehouse, Database & Querying: Strong skills in databases (Oracle / MySQL / DB2 / Postgres) and expertise in writing SQL queries. Experience with cloud-based data intelligence platforms like (Databricks / Snowflake) Strong understanding of data warehousing and data modelling concepts and principles. Strong skills and experience in creating semantic models in the Power BI or similar tools . Additional BI & Data Skills (Good to Have): Certifications in Power BI and any Data platform Experience in other tools like MicroStrategy and Cognos Proven experience in migrating existing BI solutions to Power BI or other modern BI platforms. Experience with the broader Power Platform (Power Automate, Power Apps) to create integrated solutions Knowledge and experience in Power BI Admin features like, versioning, usage reports, capacity planning, creation of deployment pipelines etc Sound knowledge of various forms of data analysis and presentation methodologies. Experience in formal project management methodologies Exposure to multiple BI tools is desirable. Experience with Generative BI implementation. Working knowledge of scripting languages like Perl, Shell, Python is desirable. Exposure to one of the cloud providers - AWS / Azure / GCP. Soft Skills & Business Acumen: Exposure to multiple business domains (e.g., Insurance, Reinsurance, Retail, BFSI, healthcare, telecom) is desirable. Exposure to complete SDLC. Out-of-the-box thinker and not just limited to the work done in the projects. Capable of working as an individual contributor and within a team. Good communication, problem-solving, and interpersonal skills. Self-starter and resourceful, skilled in identifying and mitigating risks

Position Summary As a BI Architect, you will be the core functionary to BI Practice at Impetus. You will enable our clients to get the real value out of their peta bytes of data. You will work closely with client business stakeholders to create BI strategy, architect, design and lead the implementation of end-to-end BI solutions. You will help business teams quantum jump in accessing key business metrics and improve customer experience across multiple client engagements. Description of Role Gather, describe and prioritize requirements with client business stakeholders Architect and design overall BI solutions including logical and physical data models, ETL workflows, dashboards, and reports Create BI development, testing and production deployment strategy Lead teams of BI leads and developers, translate designed solutions to them, review their work, provide guidance Manage client communications and alignment on BI architecture and project plans Ensure high quality BI solution deliveries Create and keep up to date the BI standards, guidelines and best practices Create skillset roadmap for company and manage updating of skills in the teams Be a thought leader in the industry - share knowledge, conduct training sessions, write whitepapers / case studies Contribute to pre-sales activities and acquire new projects Skills / Requirements Experience in architecting, designing, and implementing complex BI solutions in large scale data management environments Expertise in at least two of the following BI Tools - Power BI, Tableau, Qlik, Spotfire, QuickSight, Looker, MicroStrategy, SAP BO, Cognos, along with overall knowhow of multiple BI tools Deep knowledge of BI architecture and data warehousing Experience working with high volume databases and MPPs Experience with the preparation of data (e.g., data profiling, data cleansing, volume assessment and partitioning etc.) Strong knowledge of one of the cloud providers - AWS / Azure / GCP Strong skills in cloud-based data intelligence platforms like (Databricks / Snowflake) Strong skills in databases (Oracle / MySQL / DB2) and expertise in writing SQL queries Experience and understating with Generative AI implementation in BI tools Very well versed in HiveQL / Spark SQL / Impala SQL Working knowledge of scripting languages like Perl, Shell, Python is desirable Working knowledge of data lake and data lake house architecture Hands on knowledge of ETL tool Hands on knowledge of enterprise repository tools, data modelling tools, data mapping tools, and data profiling tools Experience of working in BI platform migration project(s) Good understanding of business to build the formulae and calculations to recreate or migrate existing reports and dashboards Skills in administering Power BI, Tableau or MicroStrategy servers for maximum efficiency and performance Skills in setting up infrastructure including BI servers, sizing / capacity planning, clustered deployment architecture and ability to provide deployment solutions Experience in customizing / extending the default functionalities of BI tools Experience of working in multiple business domains (e.g. BFSI, healthcare, telecom) is desirable Experience with agile based development Outstanding communication, problem solving and interpersonal skills Self-starter and resourceful, skilled in identifying and mitigating risks Out of box thinker

Amazon Business Payments and Lending organization is seeking a highly quantitative Business Intelligence Engineer to drive the development of analytics and insights. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytical solutions that global executive management teams and business leaders will use to deep dive into the businesses and define strategies. Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. You will be part of the team that is focused on payments around the world. The position is based out of India but will interact with global leaders and teams across Europe, Japan, and US. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Note: This role is part of the rekindle program. For more details on rekindle program, please visit Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Retrieve and analyze data using SQL, Excel, and other data management systems and develop reporting and data visualization solutions -using tools like AWS QuickSight and Looker. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Model data and metadata to support the reporting pipelines and automate the manual reporting solutions. Understand trends related to business metrics and recommend strategies to stakeholders to help drive business growth. Reporting of key insight trends, using statistical rigor (Hypothesis testing, measuring experiment success defining statistical significance, developing basic regression and forecasting models) to simplify and inform the larger team of noteworthy story lines. A day in the life Analyze data and find insights to either drive strategic business decisions or to drive incremental signups or revenue. Define and develop business critical metrics and reports across all international business levers, key performance indicators, and financials. Own alignment and standardization of analytical initiatives across the global business teams Drive efforts across international business leaders, BI leaders and executive management across Europe, Asia and North America. Own key executive reports and metrics that are consumed by our VPs and Directors Provide thought leadership in global business deep dives across a variety of key performance indicators 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Masters degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Strategy and Transactions - SaT – DnA Associate Manager EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Associate Manager - Data Engineering. The main objective of the role is to support cloud and on-prem platform analytics and data engineering projects initiated across engagement teams. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. This role will be instrumental in designing, developing, and evolving the modern data warehousing solutions and data integration build-outs using cutting edge tools and platforms for both on-prem and cloud architectures. In this role you will be coming up with design specifications, documentation, and development of data migration mappings and transformations for a modern Data Warehouse set up/data mart creation and define robust ETL processing to collect and scrub both structured and unstructured data providing self-serve capabilities (OLAP) in order to create impactful decision analytics reporting. Your Key Responsibilities Evaluating and selecting data warehousing tools for business intelligence, data population, data management, metadata management and warehouse administration for both on-prem and cloud based engagements Strong working knowledge across the technology stack including ETL, ELT, data analysis, metadata, data quality, audit and design Design, develop, and test in ETL tool environment (GUI/canvas driven tools to create workflows) Experience in design documentation (data mapping, technical specifications, production support, data dictionaries, test cases, etc.) Provides technical leadership to a team of data warehouse and business intelligence developers Coordinate with other technology users to design and implement matters of data governance, data harvesting, cloud implementation strategy, privacy, and security Adhere to ETL/Data Warehouse development Best Practices Responsible for Data orchestration, ingestion, ETL and reporting architecture for both on-prem and cloud ( MS Azure/AWS/GCP) Assisting the team with performance tuning for ETL and database processes Skills And Attributes For Success Minimum of 7 years of total experience with 3+ years in Data warehousing/ Business Intelligence field Solid hands-on 3+ years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse Strong knowledge of data architecture for staging and reporting schemas ,data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) Minimum 3+ years experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 2+ years hands-on experience in various Azure services preferred – Azure Data Factory,Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics ,Azure Analysis Services & Databricks Minimum of 3 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases ,Oracle/MySQL, Azure SQL and Azure Synapse Strong in PySpark, SparkSQL Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem solving skills Excellent written and verbal communication skills To qualify for the role, you must have Bachelor’s or equivalent degree in computer science, or related field, required. Advanced degree or equivalent business experience preferred Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analyzing large volumes of data Relevant work experience of minimum 6 to 8 years in a big 4 or technology/ consulting set up Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Experience in Snowflake What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Strategy and Transactions - SaT– DnA Manager EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Manager - Data Engineering. The main objective of the role is to support cloud and on-prem platform analytics and data engineering projects initiated across engagement teams. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. This role will be instrumental in designing, developing, and evolving the modern data warehousing solutions and data integration build-outs using cutting edge tools and platforms for both on-prem and cloud architectures. In this role you will be coming up with design specifications, documentation, and development of data migration mappings and transformations for a modern Data Warehouse set up/data mart creation and define robust ETL processing to collect and scrub both structured and unstructured data providing self-serve capabilities (OLAP) in order to create impactful decision analytics reporting. Your Key Responsibilities Evaluating and selecting data warehousing tools for business intelligence, data population, data management, metadata management and warehouse administration for both on-prem and cloud based engagements Strong working knowledge across the technology stack including ETL, ELT, data analysis, metadata, data quality, audit and design Design, develop, and test in ETL tool environment (GUI/canvas driven tools to create workflows) Experience in design documentation (data mapping, technical specifications, production support, data dictionaries, test cases, etc.) Provides technical leadership to a team of data warehouse and business intelligence developers Coordinate with other technology users to design and implement matters of data governance, data harvesting, cloud implementation strategy, privacy, and security Adhere to ETL/Data Warehouse development Best Practices Responsible for Data orchestration, ingestion, ETL and reporting architecture for both on-prem and cloud ( MS Azure/AWS/GCP) Assisting the team with performance tuning for ETL and database processes Skills And Attributes For Success 9-11 years of total experience with 5+ years in Data warehousing/ Business Intelligence field Solid hands-on 5+ years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse Strong knowledge of data architecture for staging and reporting schemas, data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) Minimum 3+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse] 3+ years hands-on experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 5 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Strong in PySpark, SparkSQL Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills To qualify for the role, you must have Bachelor’s or equivalent degree in computer science, or related field, required. Advanced degree or equivalent business experience preferred Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 9 to 11 years in a big 4 or technology/ consulting set up Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Experience with Snowflake What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Position Summary To be a technology expert architecting solutions and mentoring people in BI / Reporting processes with prior expertise in the Pharma domain. Job Responsibilities o Technology Leadership – Lead guide the team independently or with little support to design, implement deliver complex reporting and BI project assignments. o Technical portfolio – Expertise in a range of BI and hosting technologies like the AWS stack (Redshift, EC2), Qlikview, QlikSense, Tableau, Microstrategy, Spotfire o Project Management – Get accurate briefs from the Client and translate into tasks for team members with priorities and timeline plans. Must maintain high standards of quality and thoroughness. Should be able to monitor accuracy and quality of others' work. Ability to think in advance about potential risks and mitigation plans. o Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Must be able to guide team members in analysis. o Handle Client Relationship – Manage client relationship and client expectations independently. Should be able to deliver results back to the Client independently. Should have excellent communication skills. Education BE/B.Tech Master of Computer Application Work Experience - Minimum of 5 years of relevant experience in Pharma domain. - Technical: Should have 10+ years of hands on experience in the following tools: Must have working knowledge of toolsAtleast 2 of the following – Qlikview, QlikSense, Tableau, Microstrategy, Spotfire/ (Informatica, SSIS, Talend & metallion)/ Big Data technologies - Hadoop ecosystem. Aware of techniques such asUI design, Report modeling, performance tuning and regression testing Basic expertise with MS excel Advanced expertise with SQL - Functional: Should have experience in following concepts and technologies: Specifics: Pharma data sources like IMS, Veeva, Symphony, Cegedim etc. Business processes like alignment, market definition, segmentation, sales crediting, activity metrics calculation Calculation of all sales, activity and managed care KPIs Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Capability Building / Thought Leadership Scale of revenues managed / delivered

Position Summary This position is part of the technical leadership in data warehousing and Business Intelligence areas. Someone who can work on multiple project streams and clients for better business decision making especially in the area of Lifesciences/ Pharmaceutical domain. Job Responsibilities o Technology Leadership – Lead guide the team independently or with little support to design, implement deliver complex cloud data management and BI project assignments. o Technical portfolio – Expertise in a range of BI and data hosting technologies like the AWS stack (Redshift, EC2), Snowflake, Spark, Full Stack, Qlik, Tableau, Microstrategy o Project Management – Get accurate briefs from the Client and translate into tasks for team members with priorities and timeline plans. Must maintain high standards of quality and thoroughness. Should be able to monitor accuracy and quality of others' work. Ability to think in advance about potential risks and mitigation plans. o Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Must be able to guide team members in analysis. o Handle Client Relationship, P&L – Manage client relationship and client expectations independently. Should be able to deliver results back to the Client independently. Should have excellent communication skills. Education BE/B.Tech Master of Computer Application Work Experience Minimum of 5 years of relevant experience in Pharma domain. TechnicalShould have 15 years of hands on experience in the following tools Must have working knowledge of toolsAtleast 2 of the following – Qlikview, QlikSense, Tableau, Microstrategy, Spotfire Aware of techniques such asUI design, Report modeling, performance tuning and regression testing Basic expertise with MS excel Advanced expertise with SQL FunctionalShould have experience in following concepts and technologies Specifics Pharma data sources like IMS, Veeva, Symphony, Cegedim etc. Business processes like alignment, market definition, segmentation, sales crediting, activity metrics calculation 0-2 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company1-3 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company3-5 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company3-5 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company Behavioural Competencies Project Management Communication Attention to P&L Impact Teamwork & Leadership Motivation to Learn and Grow Lifescience Knowledge Ownership Cultural Fit Scale of resources managed Scale of revenues managed / delivered Problem solving Talent Management Capability Building / Thought Leadership Technical Competencies AWS KnowHow Formal Industry Certification AWS Certified Cloud Practitioner Snowflake Data Engineering Data Governance Data Modelling Data Operations (Service Management) Data Warehousing & Data Lake Databricks Dataiku Formal Industry Certification Informatica_Cloud Data Warehouse & Data Lake Modernization Master Data Management Patient Data Analytics Know How Pharma Commercial Data - US Pharma Commercial Data - EU

Essential Functions/Responsibilities/Duties • Work closely with Senior Business Intelligence engineer and BI architect to understand the schema objects and build BI reports and Dashboards • Participation in sprint refinement, planning, and kick-off to understand the Agile process and Sprint priorities • Develop necessary transformations and aggregate tables required for the reporting\Dashboard needs • Understand the Schema layer in MicroStrategy and business requirements • Develop complex reports and Dashboards in MicroStrategy • Investigate and troubleshoot issues with Dashboard and reports • Proactively researching new technologies and proposing improvements to processes and tech stack • Create test cases and scenarios to validate the dashboards and maintain data accuracy Education and Experience • 3 years of experience in Business Intelligence and Data warehousing • 3+ years of experience in MicroStrategy Reports and Dashboard development • 2 years of experience in SQL • Bachelors or masters degree in IT or Computer Science or ECE. • Nice to have – Any MicroStrategy certifications Required Knowledge, Skills, and Abilities • Good in writing complex SQL, including aggregate functions, subqueries and complex date calculations and able to teach these concepts to others. • Detail oriented and able to examine data and code for quality and accuracy. • Self-Starter – taking initiative when inefficiencies or opportunities are seen. • Good understanding of modern relational and non-relational models and differences between them • Good understanding of Datawarehouse concepts, snowflake & star schema architecture and SCD concepts • Good understanding of MicroStrategy Schema objects • Develop Public objects such as metrics, filters, prompts, derived objects, custom groups and consolidations in MicroStrategy • Develop complex reports and dashboards using OLAP and MTDI cubes • Create complex dashboards with data blending • Understand VLDB settings and report optimization • Understand security filters and connection mappings in MSTR Work Environment At Personify Health, we value and celebrate diversity and are committed to creating an inclusive environment for all employees. We believe in creating teams made up of individuals with various backgrounds, experiences, and perspectives. Diversity inspires innovation and collaboration and challenges us to produce better solutions. But more than this, diversity is our strength and a catalyst in our ability to change lives for the good. Physical Requirements • Constantly operates a computer and other office productivity machinery, such as copy machine, computer printer, calculator, etc.

Key Responsibilities: Custom Development & Integration: Design, develop, and implement custom solutions, plugins, widgets, and integrations using the MicroStrategy SDK (Java SDK, REST API, JavaScript API, Web SDK). Front-end Customization: Utilize JavaScript, jQuery, HTML, and CSS to create bespoke user interfaces, dashboards, and reporting experiences that extend beyond out-of-the-box MicroStrategy capabilities. API Utilization: Consume and integrate with MicroStrategy's REST APIs for various functionalities such as user management, report execution, data manipulation, and metadata access. Java Development: Develop server-side customizations, event handlers, and data connectors using Java to extend MicroStrategy's backend capabilities. Web Development: Build and maintain web-based components and web pages that integrate seamlessly with MicroStrategy analytics. Troubleshooting & Support: Diagnose and resolve technical issues related to MicroStrategy SDK customizations and integrations. Provide technical support for deployed solutions. Collaboration: Work closely with MicroStrategy developers, BI analysts, solution architects, and business stakeholders to gather requirements, translate them into technical specifications, and deliver tailored solutions. Documentation: Create and maintain comprehensive technical documentation for all custom developments, including design specifications, code comments, and deployment guides. Quality Assurance: Participate in testing and quality assurance activities for custom solutions to ensure functionality, performance, and compatibility. MicroStrategy Functionality Understanding: Leverage a basic to intermediate understanding of MicroStrategy's core features (e.g., reports, dashboards, documents, dossiers, cubes, security, user/group management) to design effective and integrated customizations. Required Skills & Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. 3+ years of hands-on development experience with a strong focus on custom solutions and integrations. Proficiency in Java development , with experience in developing web applications or server-side components. Strong front-end development skills: Expertise in JavaScript, jQuery, HTML, and CSS for creating dynamic and responsive user interfaces. Experience consuming and interacting with RESTful APIs . Basic to intermediate understanding of MicroStrategy functionalities , including navigating and understanding reports, dashboards, dossiers, cubes, and user/security management. Familiarity with web servers (e.g., Tomcat, IIS) and application deployment processes. Experience with version control systems (e.g., Git). Excellent problem-solving, analytical, and debugging skills. Strong communication and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences. Show more Show less

Description Want to join the Earth’s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations – Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Ops DnA team. In this position you will be responsible for supporting our sites to build solutions for the rapidly expanding GO-AI team. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. We are looking for an entrepreneurial and analytical program manager, who is passionate about their work, understands how to manage service levels across multiple skills/programs, and who is willing to move fast and experiment often. Key job responsibilities Key Responsibilities Include Ability to maintain and refine straightforward ETL and write secure, stable, testable, maintainable code with minimal defects and automate manual processes. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. Building and owning small to mid-size BI solutions with high accuracy and on time delivery using data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, data management fundamentals, and analysis principles. Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business where the end product enables effective, data-driven business decisions. Having high responsibility for the code, queries, reports and analyses that are inherited or produced and having analyses and code reviewed periodically. Effective partnering with peer BIEs and others in your team to troubleshoot, research root causes, propose solutions, by either take ownership for their resolution or ensure a clear hand-off to the right owner. About The Team The Global Operations – Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. It is operating multiple programs including Nike IDS, Proteus, Sparrow and other new initiatives in partnership with global technology and operations teams. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Experience applying basic statistical methods (e.g. regression) to difficult business problems Preferred Qualifications Master's degree, or Advanced technical degree Experience with statistical analysis, co-relation analysis Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) Excellence in technical communication with peers, partners, and non-technical cohorts Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Development Centre (India) Private Limited Job ID: A2987022 Show more Show less

Company Description Ivy is a global, cutting-edge software and support services provider, partnering with one of the world’s biggest online gaming and entertainment groups. Founded in 2001, we’ve grown from a small tech company in Hyderabad to one creating innovative software solutions used by millions of consumers around the world, with billions of transactions taking place to head even some of the biggest technology giants. Focused on quality at scale, we deliver excellence to our customers day in and day out, with everyone working together to make what sometimes feels impossible, possible. This means that not only do you get to work for a dynamic organization delivering pioneering technology, gaming and business solutions, you can also have an exciting and entertaining career. At Ivy, Bright Minds Shine Brighter. Job Description Senior Technical Data Analyst As a Senior Technical Data Analyst you will be responsible translating business needs into requirements for the data engineering ETL and Reporting teams by analyzing complex datasets. Reporting to the Business Intelligence Manager , you will be part of the Product & Tech who work closely with business stakeholders, and data/report engineers to understand requirements, identify opportunities, and drive data-driven decision-making within the organization. What you will do Develop and optimize Power BI and MicroStrategy reports with complex data Models and transformations To develop reports from multiple data sources including APIs, csv files, relational and non-relational databases, cloud storage buckets including S3 and GCP Collaborate with other teams within the organization and be able to devise the technical solution as it relates to the business & technical requirements Will be expected to mentor colleagues and be proactive in developing colleague skill sets to have a better understanding of reporting dashboards Maintain documentation for all processes implemented Adhere to and suggest improvements to coding standards, best practices, and contribute to the improvement of these best practices Qualifications Proven experience as a Data Business Analyst or in a similar role working with large volume data sets Experience working on data platform or warehousing projects Understanding of Financial, Compliance and Regulatory Reporting Proficiency in data analysis tools and languages (e.g. Excel and SQL). Knowledge of data visualization tools (e.g., MicroStrategy, Power BI). Strong analytical and critical-thinking skills to solve complex business problems. Excellent verbal and written communication skills. Ability to convey technical information to non-technical stakeholders. Proven ability to collaborate with cross-functional teams and stakeholders. Strong interpersonal skills to build and maintain positive working relationships. Experience in industries with a strong focus on data-driven decision-making (e.g., finance, marketing, healthcare). Additional Information At Ivy, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Depending on your role and location, you can expect to receive benefits like: Safe home pickup and home drop (Hyderabad Office Only) Group Mediclaim policy Group Critical Illness policy Communication & Relocation allowance Annual Health check And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us. At ivy, we do what’s right. It’s one of our core values and that’s why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, across any protected characteristic, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.

Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India;Bangalore, Karnataka, India Qualification : Primary Tool & Expertise: Power BI and Semantic modelling Key Project Focus: Leading the migration of legacy reporting systems (Cognos or MicroStrategy) to Power BI solutions. Core Responsibility: Build / Develop optimized semantic models , metrics and complex reports and dashboards Work closely with the business analysts / BI teams to help business teams drive improvement in key business metrics and customer experience Responsible for timely, quality, and successful deliveries Sharing knowledge and experience within the team / other groups in the org Lead teams of BI engineers translate designed solutions to them, review their work, and provide guidance. Manage client communications and deliverables Skills Required : Power BI, Semanti Modelling, DAX, Power Query, Power BI Service, Data Warehousing, Data Modeling, Data Visualization, SQL Role : Core BI Skills: Power BI (Semanti Modelling, DAX, Power Query, Power BI Service) Data Warehousing Data Modeling Data Visualization SQL Datawarehouse, Database & Querying: Strong skills in databases (Oracle / MySQL / DB2 / Postgres) and expertise in writing SQL queries. Experience with cloud-based data intelligence platforms like (Databricks / Snowflake) Strong understanding of data warehousing and data modelling concepts and principles. Strong skills and experience in creating semantic models in the Power BI or similar tools. Additional BI & Data Skills (Good to Have): Certifications in Power BI and any Data platform Experience in other tools like MicroStrategy and Cognos Proven experience in migrating existing BI solutions to Power BI or other modern BI platforms. Experience with the broader Power Platform (Power Automate, Power Apps) to create integrated solutions Knowledge and experience in Power BI Admin features like, versioning, usage reports, capacity planning, creation of deployment pipelines etc Sound knowledge of various forms of data analysis and presentation methodologies. Experience in formal project management methodologies Exposure to multiple BI tools is desirable. Experience with Generative BI implementation. Working knowledge of scripting languages like Perl, Shell, Python is desirable. Exposure to one of the cloud providers – AWS / Azure / GCP. Soft Skills & Business Acumen: Exposure to multiple business domains (e.g., Insurance, Reinsurance, Retail, BFSI, healthcare, telecom) is desirable. Exposure to complete SDLC. Out-of-the-box thinker and not just limited to the work done in the projects. Capable of working as an individual contributor and within a team. Good communication, problem-solving, and interpersonal skills. Self-starter and resourceful, skilled in identifying and mitigating risks Experience : 10 to 12 years Job Reference Number : 13099

Description And Requirements CareerArc Code CA-DN Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! BU Description We are the Technology and Automation team that drives competitive Advantage for BMC by enabling recurring revenue growth, customer centricity, operational efficiency and transformation through actionable insights, focused operational execution, and obsessive value realization. About You You are a self-motivated, proactive individual who thrives in a fast-paced environment. You have a strong eagerness to learn and grow, continuously staying updated with the latest trends and technologies in data engineering. Your passion for collaboration makes you a valuable team player, contributing to a positive work culture while also guiding and mentoring junior team members. You’re excited about problem-solving and have the ability to take ownership of projects from start to finish. With a keen interest in data-driven decision-making, you are ready to work on cutting-edge solutions that have a direct impact on the business. Role And Responsibilities As a Data Engineer, you will play a crucial role in leading and managing strategic data initiatives across the business. Your responsibilities will include: Leading data engineering projects across key business functions, including Marketing, Sales, Customer Success, and Product R&D. Developing and maintaining data pipelines to extract, transform, and load (ETL) data into data warehouses or data lakes. Designing and implementing ETL processes, ensuring the integrity, scalability, and performance of the data architecture. Leading data modeling efforts, ensuring that data is structured for optimal performance and that security best practices are maintained. Collaborating with data scientists, analysts, and stakeholders to understand data requirements and provide valuable insights across the customer journey. Guiding and mentoring junior engineers, providing technical leadership and ensuring best practices are followed. Maintaining documentation for data structures, ETL processes, and data lineage, ensuring clarity and ease of understanding across the team. Developing and maintaining data security, compliance, and retention protocols as part of best practice initiatives. Professional Expertise Must-Have Skills 5+ years of experience in data engineering, data warehousing, and building enterprise-level data integrations. Proficiency in SQL, including query optimization and tuning for relational databases (Snowflake, MS SQL Server, RedShift, etc.). 2+ years of experience working with cloud platforms (AWS, GCP, Azure, or OCI). Expertise in Python and Spark for data extraction, manipulation, and data pipeline development. Experience with structured, semi-structured, and unstructured data formats (JSON, XML, Parquet, CSV). Familiarity with version control systems (Git, Bitbucket) and Agile methodologies (Jira). Ability to collaborate with data scientists and business analysts, providing data support and insights. Proven ability to work effectively in a team setting, balancing multiple projects, and leading initiatives. Nice-to-Have Skills Experience in the SaaS software industry. Knowledge of analytics governance, data literacy, and core visualization tools (Tableau, MicroStrategy). Familiarity with CRM and marketing automation tools (Salesforce, HubSpot, Eloqua). Education Bachelor’s or master’s degree in computer science, Information Systems, or a related field (Advanced degree preferred). BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 2,033,200 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Min salary 1,524,900 Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. Mid point salary 2,033,200 Max salary 2,541,500 Show more Show less

Senior Specialist Ecommerce Planning & Forecasting Analytics Area: EMC (Emerging Markets Central) | Global Sales Department: e-commerce Direct Reporting Line: Senior Manager, Business Planning and forecasting, EM eCommerce Indirect/secondary reporting line: Director, Planning and Analytics, EM eCommerce Subsidiary/country Location: INDIA GSMS Grade: P1 Number of Personnel Managed: 0 Cost Center/Budget and/or Revenue Responsibility: EM Purpose & Overall Relevance For The Organization Driving Business planning & Forecasting Analytics at adidas e-commerce, you are responsible for planning and delivering business targets. Based on internal & external data sources, you manage adoption of forecast models, data capabilities, insights that help adidas better understand the consumer, expand reach, increase customer engagement and advocacy. Key Responsibilities Business Performance & Forecasting: Own and drive the overall EM e-com Business Performance Reporting (Sales, KPIs) and the EM e-com Forecasting practice (Forecast Review & Forecast Accuracy). Identify Demand gaps, risks and uplift and provide visibility and actionable advices to the broad stakeholders to ensure targets are achieved. Manage and provide advice to stakeholders to adopt and adhere to the agreed forecast and demand management approach and follow-up actions. Ensure tools and systems daily routines & activities, refresh, updates and scheduling. Support deep-dives, ad-hoc analysis and contextual dashboards with relevant platforms and channels. Develop and maintain a strong stakeholder network with high level of trust that facilitates action- ability of insights. Advise stakeholders in your area of responsibility to define goals, select appropriate KPIs, monitor performance and derive trends and opportunities. Build a strong internal and external network, informing the adidas Digital community on the latest trends and technological advances. Maintain quality, set good development practices, and define standards that keep the focus on the right things. Enable and Support Products Analytics, working side by side in symbiosis with the EM e-com Buying and Trading function. Create new trading capabilities for our business and align with cross functional stake holders to implement and enhance the framework for order and article level profitability that will serve as the foundation for marketing campaign and range effectiveness. Work directly with business partners to optimize our own site, partner offerings, & app, drive marketing campaigns from assortment to target audience, and generate insights to maximize sales opportunities of managed portfolio of products Monitor and analyze market trends and competitor activities and derive conclusions for the growth and optimization of adidas Digital sales, identifying gaps, opportunities and risk within EM e-com business and the digital marketplace landscape. Develop and maintain a strong stakeholder network with high level of trust that facilitates action- ability of insights. Key Relationships EM Hub e-com team EM Function teams (Finance, DNA, Brand, Sales, SCM…) Country-Clusters (C/C) market teams & group functions Global Digital teams Global BI & Analytics teams Requisite Education And Experience / Minimum Qualifications Degree with focus in Business, Finance, Economics, Math or related field preferred, or equivalent combination of education and experience Minimum 5 years of experience working in eCommerce Business planning, Data Analytics, Business Intelligence, Demand forecasting or equivalent experience Experience in e-commerce environment preferred Experience in data handling and analytics platforms, especially in their integration or deriving insights requiring multiple sources Industry: Ideally in apparel/fashion/shoes or internet Experience in cross-geography teams Knowledge & Soft Skills Broad understanding and passion for Digital and e-com Understanding of multi-platform e-commerce Deep knowledge of Digital and e-com analytics Ability to efficiently work in a cross-functional organization, ability to develop influential and collaborative relationships with stakeholders from digital and non-digital disciplines on all levels Excellent communication & negotiation skills, comfortable presenting business challenges and opportunities at various organizational levels A passion for contributing to new data capabilities, tools, and frameworks. Interest in “back-of-house” development of analytics capabilities. Devotion to accuracy, reliability, rigor, and user-focused design. Meticulous, high attention to details with Bias to action Outspoken and Confident Broad understanding of and passion for the sports and fashion/entertainment industry Hard Skills Experience in Digital Analytics, BI, Financial, Digital tools Hands-on experience with data visualization, and analytics tools and disciplines Proficient in MS Office (with Excellent skills with Excel). Preferred Alteryx or at least one querying language Experience with process design and process improvements, automation, etc. Plus would be considered: Experience in forecasting and predictive models Advanced experience with Analytics Blending & Visualization Tools (PowerBI, MicroStrategy, SQL…) Understanding of traffic analytics, marketing & media KPIs and ROI Experience with Web Analytics and Native app (iOS/Android) analytics (Adobe Analytics, Google Analytics, Amplitude, AppsFlyer, FireBase…). Experience with Advanced Analytics Tools/ language such as R/Python is good to have Experience in relevant digital disciplines (e-com, Social, online communities, loyalty programs, CRM, SEO/SEM) Experience with AB and Multi-variate testing tools preferred (e.g. Optimizely, VWO, Test & Target) Experience in working with data science and engineering teams Fluent English both verbally and written adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an equal opportunity employer. Show more Show less

We are seeking a skilled and detail oriented MicroStrategy Developer to design, develop, and maintain BI solutions using the MicroStrategy platform. The ideal candidate will have strong experience in creating dashboards/dossiers, reports, and schema objects, and be able to translate business requirements into actionable insights. Key Responsibilities: Develop and maintain MicroStrategy reports, dashboards/dossiers, visualizations, and documents. Design schema objects such as attributes, facts, hierarchies, and transformations & application objects such as metrics, filters, prompts so on. Collaborate with business analysts, data architects, and stakeholders to understand reporting requirements. Need to create reports or datasets based on custom SQL queries in MicroStrategy. Write SQL to perform E2E data validation and analyse performance. Optimize and troubleshoot existing reports and dashboards for performance and usability. Ensure data integrity and accuracy across BI deliverables. Perform unit testing and support user acceptance testing (UAT). Provide technical support and troubleshooting for MicroStrategy applications. Required Qualifications: Strong understanding of data warehousing concepts and dimensional modelling. Proficiency in SQL and experience working with relational databases (e.g., Oracle, SQL Server, Teradata). Experience in creating dashboards/dossiers, scorecards, and custom visualizations. Experience working on Big data environment as source for data for Reporting. Familiarity with MicroStrategy Architect, Developer, and Web. Ability to translate business needs into technical solutions. Strong analytical and problem-solving skills.

Quantitative Risk Analyst Location: Mumbai Mandatory Qualification : BE / B.Tech with CFA / FRM (level 1) Company Description Agam Capital is an insurance solutions provider that focuses on risk management and integrated analytics to reduce the need for high-risk solutions. It has developed a sophisticated, fully integrated Proprietary Asset-Liability model (pALM), which is the cornerstone to its Enterprise-wide Risk Management (ERM) framework. Agam's senior team has over 100 years of combined expertise in the field of insurance, asset management, and risk management. Role Description This is a full-time on-site role for a Risk Analyst in Mumbai. The Risk Analyst will be responsible for the day-to-day tasks associated with risk analysis, and will work with the senior team to develop and implement strategies and processes. The Risk Analyst will also be required to develop reports and present findings to the team and external stakeholders. Requirements : · 1 - 2 years experience (IIT / Bits Pilani with CFA / FRM level 1 can apply ) · Expertise in credit market including cash and structured products will be a plus · Proficiency with data visualization tools like Tableau/Power BI/MicroStrategy is a plus · Excellent analytical, oral, and written communication skills · Strong attention to detail and ability to deliver results · B Tech/Masters/PhD in Engineering, Maths, Statistics, CFA / FRM or any other quantitative field from Tier I colleges (IITs, IIIT, NIT, BITs, Top colleges etc) #QuantitativeRisk #QuantitativeRiskAnalyst #RiskAnalyst #MarketRisk Show more Show less

Description and Requirements "At BMC trust is not just a word - it's a way of life!" Description And Requirements CareerArc Code CA-DN Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! BU Description We are the Technology and Automation team that drives competitive Advantage for BMC by enabling recurring revenue growth, customer centricity, operational efficiency and transformation through actionable insights, focused operational execution, and obsessive value realization. About You You are a self-motivated, proactive individual who thrives in a fast-paced environment. You have a strong eagerness to learn and grow, continuously staying updated with the latest trends and technologies in data engineering. Your passion for collaboration makes you a valuable team player, contributing to a positive work culture while also guiding and mentoring junior team members. You’re excited about problem-solving and have the ability to take ownership of projects from start to finish. With a keen interest in data-driven decision-making, you are ready to work on cutting-edge solutions that have a direct impact on the business. Role And Responsibilities As a Data Engineer, you will play a crucial role in leading and managing strategic data initiatives across the business. Your responsibilities will include: Leading data engineering projects across key business functions, including Marketing, Sales, Customer Success, and Product R&D. Developing and maintaining data pipelines to extract, transform, and load (ETL) data into data warehouses or data lakes. Designing and implementing ETL processes, ensuring the integrity, scalability, and performance of the data architecture. Leading data modeling efforts, ensuring that data is structured for optimal performance and that security best practices are maintained. Collaborating with data scientists, analysts, and stakeholders to understand data requirements and provide valuable insights across the customer journey. Guiding and mentoring junior engineers, providing technical leadership and ensuring best practices are followed. Maintaining documentation for data structures, ETL processes, and data lineage, ensuring clarity and ease of understanding across the team. Developing and maintaining data security, compliance, and retention protocols as part of best practice initiatives. Professional Expertise Must-Have Skills 5+ years of experience in data engineering, data warehousing, and building enterprise-level data integrations. Proficiency in SQL, including query optimization and tuning for relational databases (Snowflake, MS SQL Server, RedShift, etc.). 2+ years of experience working with cloud platforms (AWS, GCP, Azure, or OCI). Expertise in Python and Spark for data extraction, manipulation, and data pipeline development. Experience with structured, semi-structured, and unstructured data formats (JSON, XML, Parquet, CSV). Familiarity with version control systems (Git, Bitbucket) and Agile methodologies (Jira). Ability to collaborate with data scientists and business analysts, providing data support and insights. Proven ability to work effectively in a team setting, balancing multiple projects, and leading initiatives. Nice-to-Have Skills Experience in the SaaS software industry. Knowledge of analytics governance, data literacy, and core visualization tools (Tableau, MicroStrategy). Familiarity with CRM and marketing automation tools (Salesforce, HubSpot, Eloqua). Education Bachelor’s or master’s degree in computer science, Information Systems, or a related field (Advanced degree preferred). BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 2,033,200 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Show more Show less

Job Description Develop and maintain Python scripts for extracting and analyzing metadata from MicroStrategy reports and REST APIs. Automate data extraction and processing tasks, and ingesting the data into relational database Ensure the accuracy and reliability of the automation scripts. Work with the MicroStrategy BI engineer to validate the to Have : Strong Python programming skills with strong FastAPI knowledge. Experience with creating and managing Restfull APIs Experience with Microsoft Azure with WebApps managment Experience with data analysis and automation. Knowledge of MicroStrategy architecture (for report parsing). good to have Maintaining the code in Git / Dev Ops (Must Have) : Python , FastAPI Libraries for data manipulation and API interaction. Dev ops / Git (Good to Have) : MicroStrategy architetcure and API Cloud platforms. Microsoft Azure Good problem-solving skills SQL knowledge with PostgreSQL (ref:hirist.tech) Show more Show less

Role: BI Developer Exp : 5-8 Years Location: Hyderabad Skill: MicroStrategy, SQL, Dossiers, Schema 5+ years of experience with Microstrategy, SAS, Erwin, Tableau as a developer •Ability to own and drive to resolution of issues •Strong interpersonal skills, as well as excellent communication skills, verbal and written to both technical and non-technical audiences that are in a geographically dispersed environment (conference calls, Teams, Slack, face-to-face) •Ability to work in a collaborative environment and on multiple assignments at once •Experience functioning & executing work in a fast-paced iterative environment such as Agile •Demonstrated initiative to recommend process improvements and demonstrated creative thinking •Demonstrated self-motivation and the ability to grasp concepts quickly •Demonstrated sharp, analytical, problem solving, and decision-making skills •Ability to guide / mentor other administrators and troubleshoot issues PREFERRED QUALIFICATIONS •Bachelors Degree in related field •10+ years of experience as a BI developer •Experience with Cloud technologies and using Microstrategy products in the cloud •Experience in Insurance and/or financial services industry •Experience using JIRA Service Desk and Confluence •Unique combination of being business-minded and highly analytical while also having a strong and deep technical background in BI, analytics and reporting

Primary Tool & Expertise: Power BI and Semantic modelling Key Project Focus: Leading the migration of legacy reporting systems (Cognos or MicroStrategy) to Power BI solutions. Core Responsibility: Build / Develop optimized semantic models , metrics and complex reports and dashboards Work closely with the business analysts / BI teams to help business teams drive improvement in key business metrics and customer experience Responsible for timely, quality, and successful deliveries Sharing knowledge and experience within the team / other groups in the org Lead teams of BI engineers translate designed solutions to them, review their work, and provide guidance. Manage client communications and deliverables Roles and Responsibilities Core BI Skills: Power BI (Semanti Modelling, DAX, Power Query, Power BI Service) Data Warehousing Data Modeling Data Visualization SQL Datawarehouse, Database & Querying: Strong skills in databases (Oracle / MySQL / DB2 / Postgres) and expertise in writing SQL queries. Experience with cloud-based data intelligence platforms like (Databricks / Snowflake) Strong understanding of data warehousing and data modelling concepts and principles. Strong skills and experience in creating semantic models in the Power BI or similar tools . Additional BI & Data Skills (Good to Have): Certifications in Power BI and any Data platform Experience in other tools like MicroStrategy and Cognos Proven experience in migrating existing BI solutions to Power BI or other modern BI platforms. Experience with the broader Power Platform (Power Automate, Power Apps) to create integrated solutions Knowledge and experience in Power BI Admin features like, versioning, usage reports, capacity planning, creation of deployment pipelines etc Sound knowledge of various forms of data analysis and presentation methodologies. Experience in formal project management methodologies Exposure to multiple BI tools is desirable. Experience with Generative BI implementation. Working knowledge of scripting languages like Perl, Shell, Python is desirable. Exposure to one of the cloud providers – AWS / Azure / GCP. Soft Skills & Business Acumen: Exposure to multiple business domains (e.g., Insurance, Reinsurance, Retail, BFSI, healthcare, telecom) is desirable. Exposure to complete SDLC. Out-of-the-box thinker and not just limited to the work done in the projects. Capable of working as an individual contributor and within a team. Good communication, problem-solving, and interpersonal skills. Self-starter and resourceful, skilled in identifying and mitigating risks

Req ID: 313916 We are currently seeking a Alation Admin or MSTR Cloud Admin to join our team in NOIDA, Uttar Pradesh (IN-UP), India (IN). Alation Admin Also known as an Alation Data Catalog Administrator Responsible for managing and maintaining the Alation Data Catalog, a platform that helps organizations discover, understand, and govern their data assets. 1. Platform Administration Installing, configuring, and maintaining the Alation Data Catalog platform to ensure its optimal performance and reliability. 2. User Management Managing user access, permissions, and roles within Alation, ensuring proper authentication and authorization for data access. 3. Data Governance Implementing and enforcing data governance policies, including data classification, data lineage, and data stewardship, to maintain data quality and compliance. 4. Data Catalog Management Curating and organizing metadata and data assets within the catalog, ensuring accurate and up-to-date information is available to users. 5. Integration: Collaborating with other IT teams to integrate Alation with data sources, databases, data lakes, and other data management systems. 6. Metadata Management Overseeing the extraction and ingestion of metadata from various data sources into Alation, including data dictionaries, business glossaries, and technical metadata. 7. Security Implementing and maintaining security measures, such as encryption, access controls, and auditing, to protect sensitive data and catalog information. 8. Training and Support Providing training to users on how to effectively use the Alation Data Catalog and offering support for catalog-related inquiries and issues. 9. Data Discovery Assisting users in discovering and accessing data assets within the catalog, promoting self-service data discovery. 10. Collaboration Collaborating with data owners, data stewards, and data users to understand their data needs and ensure the catalog meets those requirements. 11. Performance Monitoring Monitoring the performance of the Alation Data Catalog platform, identifying and resolving issues to ensure optimal functionality. 12. Upgrades and Maintenance Planning and executing platform upgrades and applying patches to stay up to date with Alation releases. 13. Documentation Maintaining documentation for catalog configurations, processes, and best practices. 14. Reporting and Analytics Generating reports and insights from Alation to track data usage, data lineage, and user activity. 15. Data Quality Monitoring and improving data quality within the catalog and assisting in data quality initiatives. 16. Stay Current Staying informed about Alation updates, new features, and industry best practices in data catalog administration. An Alation Admin plays a critical role in enabling organizations to effectively manage their data assets, foster data collaboration, and ensure data governance and compliance across the enterprise. --------------------------- MicroStrategy Cloud Admin Minimum 4+ years of MSTR Administration with following core attributes "“ Hands-on maintenance and administration experience in MicroStrategy 10.x Business Intelligence product suite, AWS Cloud platform Experience on enterprise portal integration, mobile integration, write back to source data based on analysis by business users, alerts via mail, mobile based on pre-defined events Ability to define and review complex Metric Ability to architect MSTR Cubes for solving complex business problems Good conceptual knowledge and working experience on meta data creation framework models universe etc., creating report specifications, integration test planning & testing, unit test planning & testing, UAT & implementation support Strong knowledge of quality processes SDLC, Review, Test, Configuration Management, Release Management, Defect Prevention Knowledge of Database is essential and ability to review the SQL passes and make decisions based on query timings Good experience on MicroStrategy upgrade, configurations on Linux Have hands on experience on creating MSTR deployment packages, Command manager scripts setup and maintain proper object and data security working experience of Configure, maintain, and administer multiple environments Open to work in different shifts as per project need Excellent Communication Skills (Written, Verbal, team work and issue resolution) Activities: Provide support for MicroStrategy"™s Business Intelligence product suite, AWS Cloud platform, and its underlying technologies Use your strong communication skills Resolve application and infrastructure situations as they arise Perform day to day management of the MicroStrategy Cloud infrastructure (on AWS) including alert monitoring/remediation, change management, incident troubleshooting and resolution. Participate in scheduled and emergency infrastructure maintenance activities Collaborate and communicate effectively with peers, internal application and software development teams Maintain high quality documentation for all related tasks Work in a strong team environment Independently manage Production MSTR environment (and associated lower environments as Dev, UAT) Manage upgrades and vulnerabilities

job description for the MicroStrategy Developer role Required Skills: Overall 8+ yrs and relevant 5-8 years of experience in Business Intelligence Applications (with majority of that time developing in MicroStrategy and understands Web SDK module manipulation). Evaluate incidents/defects, investigate, identify root cause and come up with solutions to address the same. Experience with MicroStrategys dynamic dossier, report development, and project design and facts, attributes, hierarchies, drill-down, aggregation. Experience with MicroStrategy schema definition, design, implementation, and maintenance. Work independently under the guidance of a Technical Lead/Project manager Extensive experience with reviewing and enhancing logical and physical database designs and optimization with the Business Intelligence platform and understands relational structures, dimensional data modeling, and data warehousing. Experience with application object development, including Metrics, Templates, and Filters, Prompts. Extensive experience with client server applications and architectures. Proficient Experience using SQL, PL/SQL to profile, test, and report data, Knowledge of SQL Server, Oracle DB Experience in configuring, governing, trouble shooting, and tuning the Intelligence Server. Experience with MicroStrategy Security Administration. Sound understanding of Business Intelligence best practices, relational structures, dimensional data modeling, data warehouse and reporting techniques. Day-to-day Responsibilities: Working as part of an Agile development team, working directly with team members, clients, and users to identify business challenges, development requirements, and support the development and delivery of team goals through support of requirements gathering, documentation, reports development, analysis, and/or testing. Ability to manage multiple priorities and meet critical deadlines

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) Transportation Financial Systems (TFS) owns the technology components that perform the financial activities for transportation business. These systems are used across all transportation programs and retail expansion to new geographies. TFS systems provide financial document creation & management, expense auditing, accounting, payments and cost allocation functions. Our new generation products are highly scalable and operate at finer level granularity to reconcile every dollar in transportation financial accounts with zero manual entries or corrections. The goal is to develop global product suite for all freight modes touching every single package movement across Amazon. Our mission is to abstract logistics complexities from financial world and financial complexities from logistics world. We are looking for an innovative, hands-on and customer-obsessed candidate for this role. Candidate must be detail oriented, have superior verbal and written communication skills, and should be able to juggle multiple tasks at once. The candidate must be able to make sound judgments and get the right things done. We seek a Business Intelligence (BI) Engineer to strengthen our data-driven decision-making processes. This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and have the ability to strongly utilize the GenAI technologies to analyse and solving problem, able to collaborate with product, business & tech teams. The successful candidate will demonstrate the ability to work independently and learn quickly, quick comprehension of Transportation Finance system functions and have passion for data and analytics, be a self-starter comfortable with ambiguity, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach to this space. Key job responsibilities 1) Translate business problems into analytical requirements and define expected output 2) Develop and implement key performance indicators (KPIs) to measure business performance and product impact. Responsible for deep-dive analysis on key metrics. 3) Create & execute analytical approach to solve the problem inline with stakeholder expectation 4) Strongly leveraging GenAI technologies to solve problems and building solutions 5) Be the domain expert and have knowledge of data availability from various sources. 6) Execute solution with scalable development practices in scripting, write & optimize SQL queries, reporting, data extraction and data visualization. 7) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs for your work 8) Actively manage the timeline and deliverables of projects, focusing on interactions in the team About the team Transportation Financial Systems (TFS) owns the technology components that perform the financial activities for transportation business. These systems are used across all transportation programs and retail expansion to new geographies. TFS systems provide financial document creation & management, expense auditing, accounting, payments and cost allocation functions. Our new generation products are highly scalable and operate at finer level granularity to reconcile every dollar in transportation financial accounts with zero manual entries or corrections. The goal is to develop global product suite for all freight modes touching every single package movement across Amazon. Our mission is to abstract logistics complexities from financial world and financial complexities from logistics world. Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.