1302 Qlikview Jobs - Page 9

In this role, you're expected to provide an integrated end-to-end credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses across the enterprise. The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. You will execute and participate in the Quality Assurance Reviews (QARs), providing feedback, insights, and observations on any deficiency and areas of improvement. As the ICM In-Business Quality Assurance Data Analytics Vice President, you will engage with the management of the respective ICM business area, Independent Risk, and critical partner stakeholders and regulators. You will work closely with the In-Business Quality Assurance Head of Data Analytics to set the global strategy and lead the implementation of a robust Data analytics and testing program for the Quality Assurance function related to Wholesale Credit Risk (WCR) data governance. This role requires hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solutions. Additionally, you will be responsible for deriving concrete insights from data, qualifying business impact, and monitoring and analyzing model performance and data accuracy. As a successful candidate, you ideally have relevant experience in data analytics, Wholesale Credit Risk, and leadership skills. You should possess strong communication skills, the ability to collaborate effectively with stakeholders at all levels, and a good understanding of risk and control framework in banks. You should also have solid organizational skills, a logical and methodical mindset, and the ability to work under pressure while managing time and priorities effectively. Your technical skills should include coding knowledge and experience with programming languages like Python, Java, C++, and experience working with and manipulating large sets of data. A Bachelors or Masters degree in a quantitative or equivalent field is required, along with proficiency in data analysis tools like SQL, Python, SAS, R, Alteryx, Splunk, and visualization tools like Tableau, Qlikview, MS Power BI. If you have a drive to learn and master new technologies, excellent problem-solving skills, and clear communication abilities, you are encouraged to apply for this role. This position offers an opportunity to lead complex Quality Assurance work, provide effective challenge on data and credit processes, and partner with stakeholders to drive sustainable remediation.,

Embark on a transformative journey as an AI Incubator Data Scientist at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Seeking a talented Data Scientist to join our Data Science team in particular our AI incubator where you'll spearhead the evolution of our digital landscape, driving innovation dedicated to driving commercial value from data across the Corporate Bank. In this role, you will have the opportunity to shape and lead projects with other members of the team - leveraging machine learning techniques and AI to extract valuable insights and create tangible business impact. We embrace a design-led thinking approach that emphasizes close collaboration with business stakeholders and a fail-fast mindset. This position offers the chance to work with extensive datasets that span billions of rows, applying state-of-the-art AI techniques to unlock millions in business value. To be a successful AI Incubator- Data Scientist you should have experience with: Bachelor or masters degree in data science (or similar) or equivalent commercial experience Experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment Ability to translate technical work into business terms and communicate value to business stakeholders. Commercial experience in applying machine learning techniques to generate business value (e.g. clustering, classification, regression, NLP techniques) Ability to write close to production standard code with strong understanding of key coding principals e.g. separation of concerns, generalisation of code. Strong experience in Python and SQL is a must. Familiarity with AWS data science and AI services, including SageMaker and Bedrock Understanding of GenAI , LLMs and the RAG framework Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools Knowledge of code management methodologies and ability to implement these on projects. Some Other Highly Valued Skills May Include Experience in front end development frameworks such as Angular/React Flask/Streamlit. MVC Architecture. Experience of Agentic AI. Experience of working in a big data environment using PySpark. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based in Pune. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as an Assistant Vice President - Model Execution at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with planning and stress testing, model validation, reporting as well as job-specific skillsets. To Be Successful In This Role, You Should Have Strong written and verbal communication skills. Sound understanding of financial statement analysis. Good understanding of financial markets and relationships with major macroeconomic variables. Experience in building and maintenance of financial models on MS Excel, and the ability to crunch numbers from large datasets and produce actionable insights/analytics. Robust analytical and problem solving skills. Ability to work with multiple teams to drive business outcomes. Some Other Highly Values Skills Include Post-graduate degree or equivalent in Finance / Accounting. Candidates with CFA/FRM charters are desirable but this is not a mandate. Prior experience in forecasting, valuations and/or developing / execution of stress testing models in the banking industry. Understanding of key model risk management principles prescribed by global regulators. Hands-on experience in using tools such as Python, Alteryx, Tableau or Qlikview is desirable but not a mandate. This role will be based out of Chennai. Purpose of the role To develop strategic infrastructure requirements, onboard current model suite & new quantitative model methodologies, redevelop models based on monitoring, IVU feedback and business changes and perform validation process. Accountabilities Delivery of advanced model analytics, improve stability and bring consistency in calculation approach. Leading technical engagements with QA and IVU for strategic redevelopment project on behalf of FTC. Provision of model execution, output analysis and lifecycle management capabilities across use cases for both forecasting and BAU models. Implementation of process improvements though enhanced controls, automation and improved analytics. Delivery of advanced model analytics (Recalibration, Sensitivity, root cause analysis etc.). Controls and testing: Addressing execution issues with IT and QA, Perform UAT as part of model product ionisation. Cataloguing of issues, potential improvement for model redevelopment, authoring technical documentation with QA. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

You should have 3-5 years of experience as a Data Analyst and possess expertise in data-driven problem solving. Your skills should include proficiency in Data Modelling, Data Mining, and Data Segmentation Methods. You must excel in analytical thinking, business modelling, and problem-solving. Advanced Microsoft Excel skills are a must, along with experience working with MS SQL. Knowledge of R Programming is essential, as well as experience with XML, ETL frameworks, and JavaScript. You should be adept at creating queries and reports and having experience with QlikView/Tableau will be advantageous. A good understanding of Microsoft Office and excellent communication skills, both verbal and written, are required. As a Data Analyst, your responsibilities will include applying Data Modelling, Data Mining, and Data Segmentation techniques to the available data. You will be expected to identify and analyze trends or patterns in complex data sets using statistical methods and interpret the data based on the analyzed trends and patterns. Collaboration with management to prioritize business requirements and identifying improvement opportunities in business processes will also be part of your role. This is a Full-Time position located in Vadodara. The educational requirements for this role include a BE (IT), BE (CS), MCA, MSC (IT), BSC in Statistics, or MSC in Statistics. Salary details will be discussed in person. Please send your resume to info@99plusitsolutions.com or 99plusit@gmail.com for consideration.,

As a Software Engineer - Data Reporting Services at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Nice-to-have skills Qualifications Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Data Reporting Services Specialist at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

The Role: Lead Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts. Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.) Mentoring analysts within the team to deliver effectively, incubating new ideas. Mandatory Qualifications: Bachelors/Master s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 5-7 years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning

Business Intelligence Developer – Mumbai (Goregaon East) 27165 Work Mode: Hybrid (4 days office, 1 day WFH) Shift Timings: 12:30 PM – 9:30 PM Location: Goregaon East, Nesco (Max 1 hour commute preferred) Interview: 2 rounds, in-person Responsibilities Design and develop ETL pipelines integrating diverse data sources into BI environments. Develop dashboards and reports using Microsoft Power BI, SSRS, and other BI tools. Ensure data quality, maintain data catalog/dictionary, and support data marts/lakes. Collaborate with business partners to understand needs and translate them into BI solutions. Lead development and maintenance of complex BI dashboards and reports. Provide user training and support adoption of BI tools. Proactively identify opportunities for business growth, risk mitigation, and efficiency. Support Microsoft BI platform technologies and innovate solutions for scalability and reuse. Must-Have Skills & Experience 5-7+ years working with Microsoft BI platform: SQL Server DB, SSIS, SSRS, SSAS, Power BI, Azure Cloud services. Strong experience building and maintaining large scale data integration and ETL processes. Proficient in data warehouse architecture, data modeling, and dashboard/report development. Expertise in optimizing data integration routines and database design. Excellent communication and documentation skills. Ability to work independently in a fast-paced environment. Nice-to-Haves Experience with other BI tools like QlikView, Tableau, MicroStrategy, or open-source reporting. Cloud-based data platforms (Azure, AWS, Snowflake). DevOps experience and CI/CD deployment knowledge. Experience with data lakes and Power BI Report Server administration. Knowledge of analytics tools like R, Python, Scala, SAS. Skills: power bi,business intelligence,communication,dashboards,azure,data,dashboard/report development,ssas,documentation,ssrs,data warehouse architecture,etl,cloud,data integration,ssis,sql server db,data modeling,azure cloud services,design,microsoft

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY This is a high-impact role with significant excitement. You will work across the team, help drive data-driven decisions, establish new business metrics, and own the automated reporting systems. You will develop solutions to complex business problems characterized by imperfect data. You will gather, transform, and present data to enable data-driven decision-making. You will help scale the analytics we are offering to both internal and external stakeholders. This position will be hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site. Our salary ranges are determined by role, level, and location. WHAT YOULL DO Streamline data flows from the source and produce high-quality data and pipelines (15%) Develop and maintain data pipelines, ETL processes, and data integration workflows to ensure efficient and accurate data acquisition from various internal & external sources using SQL, Python, or other scripting languages. Work with data infrastructure to triage infrastructure issues and drive them to resolution, and serve as the key point of contact to bridge the gap between data infrastructure and end customers. Design, build, and optimize data architecture & models to support business reporting and analytics needs. Understand evolving business requirements to optimize/update data pipelines in SQ.L. Monitor and optimize the performance of data systems, troubleshoot issues, and propose solutions for data-related problems. Design, develop, and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our financial needs (45%) Build and deliver high-quality visualization and reporting solutions to support Finance business needs Design and create customized reports for all new financial reconciliation needs, catering to their specific needs Automate reporting for Finance using Python, Periscope, Tableau, Amplitude, and other Earnin in-house business intelligence tools and platforms. Interface with Finance, Engineering, and Analytics to understand data needs and deliver high quality data products (30%) Build clean data products to power automation focused on the finance domain and reconciliation. Get familiar with the finance domain at Earnin and identify opportunities for process automation. Take ownership of debt facility analytics and other core finance areas as needed. Develop data functional expertise and own data quality for assigned areas of responsibility. Create quality controls on the data feed to ensure high-quality data is delivered for the end product. Design, build, and launch new data extraction, transformation, and loading processes in production as needed. Implement data governance practices, including data security, privacy, and compliance measures. Deep analysis to uncover areas of opportunity and present recommendations that will help shape the strategy and operations of business stakeholders Create project-related documentation for requirements, design, processing methodologies, changes planned, and other relevant areas. Provide analytical support for financial needs, including annual audits, new product revenue reporting, and external lender inquiries. Be a data and functional expert at Earnin (10%) Stay up-to-date with industry trends and emerging technologies in the fields of business intelligence and data analytics. Be a data SME related to the finance domain. Identify and recommend BI and data tools that can be used within the company for increased productivity and scalability. WHAT WERE LOOKING FOR 4+ years of relevant work experience in Analytics, Business Intelligence, Data Science, anda a Bachelors or higher degree or equivalent industry experience Experience in custom ETL design, implementation, and maintenance. Experience with schema design and dimensional data modeling. Experience in writing complex SQL queries and Python Experience working with Snowflake / Databricks or similar distributed compute systems Experience with business intelligence tools such as Tableau, Power BI, or QlikView. years of working with relational databases (Redshift, PostgreSQL) and big data structures Experience with any cloud platform (Ex, AWS) and big data technology (Ex, Spark) Experience in collaborating with cross-functional teams Experience working with a finance team is preferred, but not required Ability to analyze data to identify deliverables, gaps, and inconsistencies. Excellent problem-solving and analytical skills #LI-Hybrid

Job Title - Workplace Service Dev Analyst> Management Level : Location:Bengaluru Must have skills: Billing, Invoicing/ Vendor Management Good to have skills:MIS Reporting Job Summary : MIS / Reporting and should have very good excel skills and independently work on excel reportsEnsuring report generation within SLA. To create and maintain strong relationships with internal and external clients. And act as a subject matter expert in Workplace Transport Financial Process. Roles & Responsibilities: OVERALL, PURPOSE OF JOB This is for Workplace Billing POC. The individual must raise PR, Follow-up to release PO, Process invoices, identify vendor invoice submission issues/challenges, co-ordinate with vendor to resolve disputes, validate the outstanding, interact & work with other internal teams to enable vendor invoicing, follow up with vendor for invoice submission, track invoice until disbursement & get clear No Due certificate from vendor. Requires Interaction with Vendors / internal business stakeholders on a regular basis & escalate as appropriate to focus & achieve the business outcome of resolving vendor payment disputes. KEY RESPONSIBILITIES: Reporting of Transport Fleet / Support service partners costing, billing, invoicing, accruals & no due certificates Responsible for data retrieval, generate statistical reports & document. Researching, evaluating, and tracking in-depth data of critical processes. Preparation of MIS on daily, weekly, monthly, and quarterly basis for top management analysis. MIS and reports are to be stored/documented making it easily accessible to the management. Always ensures that the requirements of the senior management are captured and are translated into effective reporting and informational analysis. Experience using and developing outputs for reporting, data analysis and visualization tools for e.g., Advance Excel, MS Access, Macros, QlikView, Tableau or similar Service Partner Management - Interaction & resolving billing / invoicing issues with service partners as and when required Professional & Technical Skills: Graduate in Commerce, Preferable 5 Year of experience in Invoicing, Finance, Accounts, Billing and Financial Services process Strong verbal and written communication skills. Good knowledge of data analysis techniques Ensure client satisfaction & monitoring performance levels. Experience using and developing outputs for reporting and visualization tools for e.g., Advance Excel or similar Able to deal with dynamic situations, should be flexible to travel as per requirement. Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Graduate in any discipline, B. Com preferably

The primary focus at EITSI is to develop the next generation LIMS (Lab Information Management system), Customer portals, e-commerce solutions, ERP/CRM system, Mobile Apps & other B2B platforms for various Eurofins Laboratories and businesses. Job TitleData Engineer / Power BI Analyst Location: Bangalore, India Experience Required: 4-7 years Employment Type: Full-time : We are looking for a skilled Data Engineer / Power BI Analyst with 4-7 years of experience to join our team. The ideal candidate will have a strong background in data analysis, business intelligence, and data visualization using Power BI. This role involves working closely with stakeholders to transform data into insightful reports and dashboards that drive business decisions. Key Responsibilities: Design, develop and maintain Power BI reports, dashboards, and visualizations to support business decision-making processes. Gather and understand business requirements from various stakeholders, translating them into actionable insights through Power BI. Perform in-depth data analysis to identify trends, patterns, and insights that can be leveraged for strategic decisions. Extract, transform, and load (ETL) data from multiple sources into Power BI to ensure data is accurate, consistent, and timely. Develop and optimize DAX queries and Power Query scripts for complex data manipulations. Collaborate with data engineers, database administrators, and IT teams to ensure data quality and integrity across systems. Monitor and maintain the performance of existing Power BI solutions, making improvements as needed. Provide training and support to business users on Power BI tools and best practices. Stay up to date with the latest Power BI features and industry trends to continuously enhance BI capabilities. Required Skills & Qualifications: 4-7 years of experience in Power BI development and data analysis. Proficiency in DAX and Power Query for data manipulation and complex calculations. Strong analytical and problem-solving skills. Strong understanding of SQL and experience in querying databases for data extraction. Solid experience in data visualization principles and best practices. Ability to work with large and complex datasets from multiple sources. Experience in data modeling and building efficient data structures within Power BI. Familiarity with Power BI service features, including report publishing, data refresh scheduling, and security settings. Strong analytical and problem-solving skills, with attention to detail. Excellent communication and presentation skills to effectively convey insights to non-technical stakeholders. Experience with Excel and other BI tools like Tableau or QlikView is a plus. Additional Requirements: Demonstrated ability to have successfully completed multiple, complex technical projects. Demonstrates a rational and organized approach to the tasks undertaken and an awareness of the need to achieve quality. Demonstrates high standards of professional behaviour in dealings with clients, colleagues and staff. Strong written communication skills. Is effective and persuasive in both written and oral communication. Experience with gathering end user requirements and writing technical documentation. Time management and multitasking skills to effectively meet deadlines under time-to-market pressure. Qualifications Bachelor"™s degree in computer science, Information Technology , or a related field. Power BI or relevant Microsoft certifications are preferred. Additional Information Prior experience in industrial settings, and especially with Laboratory processes, is a plus.

Description Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music. Want to transform the way people enjoy music on Amazon Music apps and Echo devices? Come join the team that made Amazon Music Unlimited, HD, Prime Music, ads-supported free music and more available to millions of customers. The Amazon Music Search team is looking for a Senior Product Manager - Tech to innovate, design, build and launch new ML-based Search features and experiences. Key job responsibilities Own and drive the product roadmap for search features such as search history and find-as-you-type Collaborate with engineering teams to define technical requirements, prioritize features, and oversee development and implementation Analyze user behavior data and conduct A/B experiments to optimize the relevance and performance of search suggestions, autocomplete, and historical query recommendations. Partner with UX designers to create intuitive and seamless search experiences that enhance customer satisfaction and engagement within the Amazon Music platform. Develop and track key performance indicators (KPIs), regularly reporting on their impact on user engagement, retention, and overall search quality. Coordinate cross-functionally with other Amazon Music teams (e.g., content catalog, recommendations, Generative AI) to ensure search features align with and enhance other product areas. Stay informed about industry trends and competitive landscape in music search technologies, proposing innovative solutions to maintain Amazon Music's competitive edge in search experiences. About The Team The Amazon Music Search mission is to help customers find the most contextually relevant search results, across in-app and voice experiences, as quickly as possible. We act as a key source of information regarding what content users can access on Amazon Music. We collaborate closely with the various Amazon Music client teams and other partners to continuously improve the search experience across all platforms, including visual apps and Amazon Music on Alexa. Search services billions of requests for customers worldwide each month and is a critical part of Amazon Music engagement and retention. Basic Qualifications Bachelor's degree Experience owning/driving roadmap strategy and definition Experience with feature delivery and tradeoffs of a product Experience contributing to engineering discussions around technology decisions and strategy related to a product Experience managing technical products or online services Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Preferred Qualifications Experience performing statistical analysis of data using SQL, Excel and other tools Experience in using analytical tools, such as Tableau, Qlikview, QuickSight Experience working on consumer products 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 - ADCI - Karnataka Job ID: A3001604

Job Summary: We are seeking a highly analytical and business-savvy Lead Business Analyst Advanced Analytics to drive data-driven decision-making across key business functions. This role involves close collaboration with data science, product, technology, and business teams to define problems, extract insights, and translate analytical findings into actionable strategies. Key Responsibilities: Work closely with stakeholders to understand business objectives and translate them into analytical problems. Lead the development of dashboards, KPIs, and performance metrics using advanced analytics techniques. Analyze large, complex datasets to identify trends, patterns, and insights that drive strategic decisions. Collaborate with Data Scientists and Engineers to build predictive models and machine learning solutions. Drive adoption of analytics tools and insights across business teams to improve operational efficiency. Present clear, concise, and actionable insights to senior leadership and key stakeholders. Act as a mentor to junior analysts and help build best practices within the analytics team. Ensure data integrity, governance, and compliance in all analytics projects.

JOB DESCRIPTION About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. collect clean and validate large datasets from internal systems Develop and maintain MIS reports, dashboards and data visializations identify trends, anomalies and perfomnce gaps through data analysis automate repetivie reporting tasks using excel macros, SQL queries and BI tools Support management with adhoc data requests and performance analysis Monitor KPIs and assist in forecasting and budgeting processes Ensure accuracy, security and integrity of MIS data Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. QUALIFICATIONS Educational Qualifications Bachelors Degree - Infomation Technology / Information Systems; Computer Science; Engineering eith data/analytics exposure. Buisness Administration Master's Degree / MBA Technical skills Microsoft Excel SQL Data visulaization tools such as Power BI, Tableau, QlikView Basic knowledge of of databases - MySQL, Oracle, MA Acess Understabding of ERP or CRM systems (SAP, Salesforce) Programming skills (options but not mandatory) - Python or R for data analytics; VBA for Excel automation Soft skills: Strong analytical and problem solving ability Attention to detail and accuracy Time management Communication skills Business acumen to understand operational and strategic needs

The opportunity We are looking for a Senior Consultant/Consultant Analytics with expertise in one of the industries across Banking, Insurance (not mandatory). Your key responsibilities - Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector - Project Management - Client Management - Support business development and new analytics solution development activities Skills and attributes for success - Domain expertise in one of the industries across Banking, Insurance (not mandatory) - Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) - Hands-on experience in one or more Statistics tool - SAS, Python & R - Experience in Tableau, Qlikview would be a plus - Data mining experience - Clustering, Segmentation - Machine learning and Python experience would be a plus To qualify for the role you must have - B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities - Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant - Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you'll also have - Strong communication, facilitation, relationship-building, presentation, and negotiation skills - Be highly flexible, adaptable, and creative - Comfortable interacting with senior executives (within the firm and at the client) - Strong leadership skills and supervisory responsibility What we look for We seek individuals with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction, and advisory services, we're using the finance products, expertise, and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible,

The resource would be required to do coding across Qlikview tools. Create, test & implement Qlikview solutions. Would be required to interact with the users and understand the requirements and deliver the enhancements.

Responsible for coding across Qlikview tools. Create, test & implement Qlikview solutions. Interact with the users and understand the requirements and deliver the enhancements. Participate in the continuous improvement of QlikView .

Skills and Responsibilities: 1. Proficiency in Power BI: You should be able to create, publish, and maintain Power BI reports and dashboards. 2. DAX and Power Query: You'll likely be writing DAX formulas and using Power Query for data transformation. 3. Data Modeling: Experience in data modeling and integrating reporting components from multiple data sources is expected. 4. Data Analysis: You should be able to gather, analyze, and present data effectively. 5. SQL: Familiarity with SQL and data warehousing concepts is highly beneficial. 6. ETL Processes: Understanding ETL processes is also valuable. 7. Project Management: Experienced professionals may be involved in project management aspects. 8. Emerging Trends: Staying updated with emerging trends like AI/ML integration, cloud-based BI, and data visualization techniques is crucial. 9. Data Governance and Security:Understanding data governance and security practices is increasingly important. Key Skills - Changes, Enhancement And New Dashboard Building In QLIKVIEW And QLIKSENCE PowerBI Application

Skills and Responsibilities: 1. Proficiency in Power BI: You should be able to create, publish, and maintain Power BI reports and dashboards. 2. DAX and Power Query: You'll likely be writing DAX formulas and using Power Query for data transformation. 3. Data Modeling: Experience in data modeling and integrating reporting components from multiple data sources is expected. 4. Data Analysis: You should be able to gather, analyze, and present data effectively. 5. SQL: Familiarity with SQL and data warehousing concepts is highly beneficial. 6. ETL Processes: Understanding ETL processes is also valuable. 7. Project Management: Experienced professionals may be involved in project management aspects. 8. Emerging Trends: Staying updated with emerging trends like AI/ML integration, cloud-based BI, and data visualization techniques is crucial. 9. Data Governance and Security: Understanding data governance and security practices is increasingly important. Key Skills - Changes, Enhancement And New Dashboard Building In QLIKVIEW And QLIKSENCE PowerBI Application

Trimble Information Technologies India Pvt Ltd is looking for Business Intelligence Professional to join our dynamic team and embark on a rewarding career journey Data Collection and Integration:Gather data from various sources within the organization and external sources Integrate data from different systems to create a unified and comprehensive dataset Data Analysis:Analyze large sets of data to identify trends, patterns, and insights Utilize statistical and analytical tools to interpret data and generate meaningful reports Reporting and Visualization:Develop and design reports and dashboards to communicate data-driven insights Use BI tools (eg, Tableau, Power BI) to create visually appealing and easily understandable presentations of data Business Performance Monitoring:Monitor key performance indicators (KPIs) and provide regular updates to stakeholders Identify areas of improvement and suggest strategies for enhancing business performance Predictive Analysis:Utilize predictive modeling and forecasting techniques to anticipate future trends and business outcomes Database Management:Manage and maintain databases, ensuring data accuracy, integrity, and security Collaboration:Collaborate with cross-functional teams, including IT, finance, marketing, and operations, to understand their data needs and provide relevant insights Continuous Learning:Stay informed about industry trends, emerging technologies, and best practices in business intelligence

Management Level: Ind & Func AI Decision Science Consultant Location: Gurgaon, Mumbai, Bangalore Must-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, PowerBI, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills: Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstreams of small projects, overseeing the quality of deliverables for junior team members. Demonstrated ability to manage day-to-day interactions with client stakeholders. Practice Enablement Guide junior team members. Support development of the practice by driving innovations and initiatives. Develop thought leadership and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: 2-6 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services/Risk Advisory with significant exposure to Credit Risk: PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior: Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk: Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML): AML Scenarios/Alerts, Network Analysis Operational Risk: AMA Modeling, Operational Risk Reporting Modeling Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools: SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities. Industry Certifications:FRM, PRM, CFA preferred. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 2-6 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Job Title - Ind & Func AI Decision Science Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Risk Analytics Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders o Practice Enablement o Guide junior team members. o Support development of the Practice by driving innovations, initiatives. o Develop thought capital and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards o Anti Money Laundering AML scenarios/alerts, Network Analysis o Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Morgan Stanley Model Risk Process Validation Group - Analyst Profile Description We’re seeking someone to join our team as an [Analyst] to [Model Risk Process Validation Group] Firm Risk Management In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives. Company Profile Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Primary Responsibilities What you’ll do in the role: Perform independent validations of select FRM processes and controls, including those relating to regulatory and Basel requirements Support execution of reviews (e.g., planning, documenting, reporting) and continuous monitoring activities (e.g., risk assessments) Contribute to improving the team's validation methodology and execution capabilities; Interface with key stakeholders, governing bodies, and business partners to review status of validation work, results of test work, and quarterly reporting Partner with other independent validation teams, e.g., Model Risk Management, Regulatory Reporting Quality Assurance (RRQA), to support a unified validation program end-to-end. Experience What you’ll bring to the role: Bachelor's or higher degree in Finance, Economics, Computer Science, Mathematics, Engineering or other business or risk management related areas Experience from consulting, risk management, or internal audit covering processes and controls across risk stripes (e.g., Credit, Market, Liquidity, Capital and Data Risk) Experience in data analytics, data visualization, or process automation Strong risk, process, and control validation/testing, and assessment skills Strong communication and analytical skills A commitment to teamwork Ability to prioritize and manage multiple competing objectives. Skills Strong understanding banking regulatory environment, including familiarity with Bank of International Settlements (BIS) principles (e.g., Basel III, BCBS 239, FRTB) and FRB Capital Planning requirements and practices (e.g., CCAR, DFAST) 1-2 years of relevant industry experience with core banking, investment and trading products, and banking regulations (e.g., FRB SR 11-07, SR 12-17, SR 14-08, SR 15-18, PRA SS1/23) Understanding of data lineage and database schema; experience working with large data sets, data warehouse, or data lake knowledge of IT general controls; business analyst experience Knowledge and experience with data analytics and data visualization tools and systems (e.g., PowerBI, Alteryx, Dataiku, QlikView, Tableau) experience with writing or editing SQL, VBA delete VBA, Python and/or other programming languages; advanced Excel knowledge Relevant certifications or designations (e.g., CFA or FRM) (preferred). What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Summary Position Summary Technology Business Management (TBM) – Senior Analyst Are you passionate about technology and interested in joining a community of collaborative colleagues who respectfully and courageously seek to challenge the status quo? If so, read on to learn more about an exciting opportunity with Deloitte Technology (DT). We are insatiably curious and life-long learners focused on technology and innovation. The Technology Business Management Team (TBM) within DT is focused on running IT like a Business. Work you will do: As part of the TBM team our responsibilities include: Planning, forecasting & reporting on the technology financials Understand the IT financial drivers and make recommendations to leaders on how to develop and then manage their budget and forecast Identify areas of potential efficiencies in technology spend so the firm can increase new investments in support of our technology driven future Identify ways to ensure consistency, efficiency and transparency in the financial and operational metrics that are used to understand the value that technology brings to the business Support projects and efforts of others that result in the improvement of our IT Financial Management maturity level in order to increase the value and depth of information available for IT leadership decisions Coordinate with businesses and ensure consistent application of the Technology Finance structure across the firm About Deloitte Technology US (DT – US) Deloitte Technology (DT) helps power Deloitte’s success. DT is the engine that drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The professionals in DT deliver services including: Security, risk & compliance Technology support Infrastructure Applications Relationship management Strategy Experience Delivery PMO Financials Communications Technology Business Management The Technology Business Management team is a high performing and highly engaged team that believes great IT leaders also need to be great business leaders.We have a passion for both managing the financial health of Technology but also improving the business acumen across DT-US.We have a “best in class” team that has reached a high level of maturity in IT Financial Management. Qualifications Education: MBA Finance or Equivalent Degree and 4-6 years’ experience working in a matrixed global environment Shift Timing: 2PM-11PM-IST Preferred Location: Hyderabad Required skills: Financials Planning & Analysis skills (FP&A) Excellent organizational skills – able to work independently Strong Excel and reporting skills – pivot tables, formulas, VBA etc. Experience with QlikView, Tableau is a plus but not required. High business and data analysis skills to handle large volumes of data but also with a focus on detail Reporting, financial modelling, accounting concepts, GAAP. Excellent verbal and written communication skills, good command over English Microsoft Excel, PowerPoint, Word, SharePoint Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303155

Technology Business Management (TBM) – Senior Analyst Are you passionate about technology and interested in joining a community of collaborative colleagues who respectfully and courageously seek to challenge the status quo? If so, read on to learn more about an exciting opportunity with Deloitte Technology (DT). We are insatiably curious and life-long learners focused on technology and innovation. The Technology Business Management Team (TBM) within DT is focused on running IT like a Business. Work you will do: As part of the TBM team our responsibilities include: Planning, forecasting & reporting on the technology financials Understand the IT financial drivers and make recommendations to leaders on how to develop and then manage their budget and forecast Identify areas of potential efficiencies in technology spend so the firm can increase new investments in support of our technology driven future Identify ways to ensure consistency, efficiency and transparency in the financial and operational metrics that are used to understand the value that technology brings to the business Support projects and efforts of others that result in the improvement of our IT Financial Management maturity level in order to increase the value and depth of information available for IT leadership decisions Coordinate with businesses and ensure consistent application of the Technology Finance structure across the firm About Deloitte Technology US (DT – US) Deloitte Technology (DT) helps power Deloitte’s success. DT is the engine that drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The professionals in DT deliver services including: Security, risk & compliance Technology support Infrastructure Applications Relationship management Strategy Experience Delivery PMO Financials Communications Technology Business Management The Technology Business Management team is a high performing and highly engaged team that believes great IT leaders also need to be great business leaders. We have a passion for both managing the financial health of Technology but also improving the business acumen across DT-US. We have a “best in class” team that has reached a high level of maturity in IT Financial Management. Qualifications Education: MBA Finance or Equivalent Degree and 4-6 years’ experience working in a matrixed global environment Shift Timing: 2PM-11PM-IST Preferred Location: Hyderabad Required skills: Financials Planning & Analysis skills (FP&A) Excellent organizational skills – able to work independently Strong Excel and reporting skills – pivot tables, formulas, VBA etc. Experience with QlikView, Tableau is a plus but not required. High business and data analysis skills to handle large volumes of data but also with a focus on detail Reporting, financial modelling, accounting concepts, GAAP. Excellent verbal and written communication skills, good command over English Microsoft Excel, PowerPoint, Word, SharePoint Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303155