4258 Data Quality Jobs - Page 29

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : IBM Netezza Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve data processes to enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in IBM Netezza.- Good To Have Skills: Experience with data warehousing concepts and practices.- Strong understanding of ETL processes and data integration techniques.- Familiarity with data modeling and database design principles.- Experience with performance tuning and optimization of data queries. Additional Information:- The candidate should have minimum 7.5 years of experience in IBM Netezza.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

ob description Exp required 7+ yrs with data governance informatica tool Key Responsibilities: Data Governance Framework Development: Develop, implement, and maintain data governance frameworks, policies, and standards to ensure high-quality, consistent, and secure data across the organization. Collaborate with business units and stakeholders to define and enforce data governance policies, ensuring alignment with business goals and regulatory requirements. Data Quality Management: Define and enforce data quality standards, monitoring key data quality metrics. Identify, analyze, and resolve data quality issues across various data sources and platforms. Work with cross-functional teams to implement data quality improvement initiatives. Data Lineage & Metadata Management: Implement and maintain data lineage and metadata management solutions to ensure visibility and traceability of data throughout its lifecycle. Work with data architects and engineers to establish and document data flows, transformations, and dependencies. Data Security & Compliance: Ensure that data governance practices comply with relevant regulatory requirements (e.g., GDPR, CCPA, HIPAA). Implement data security controls to protect sensitive data and manage access to sensitive information. Stakeholder Collaboration: Partner with data architects, data engineers, data scientists, and business analysts to ensure alignment between technical and business needs for data governance. Provide training and support for teams on data governance policies, best practices, and tools. Data Governance Tools & Technologies: Lead the implementation and optimization of data governance tools and platforms. Continuously evaluate emerging tools and technologies to improve data governance processes. Reporting & Documentation: Develop and maintain comprehensive data governance documentation and reports. Provide regular updates to senior management on the status of data governance initiatives, risks, and areas of improvement.

The ability to be a team player The ability and skill to train other people in procedural and technical topics Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Able to write complex SQL queries ; Having experience in Azure Databricks Preferred technical and professional experience Excellent communication and stakeholder management skills

You are a strategic thinker passionate about driving solutions in business architecture and data management. You have found the right team. As a Banking Book Product Owner Analyst in our Firmwide Finance Business Architecture (FFBA) team, you will spend each day defining, refining, and delivering set goals for our firm. You will partner with stakeholders across various lines of business and subject matter experts to understand products, data, source system flows, and business requirements related to Finance and Risk applications and infrastructure. As a Product Owner on the Business Architecture team, you will work closely with Line of Business stakeholders, data Subject Matter Experts, Consumers, and technology teams across Finance, Credit Risk & Treasury, and various Program Management teams. Your primary responsibilities will include prioritizing the traditional credit product book of work, developing roadmaps, and delivering on multiple projects and programs during monthly releases. Your expertise in data analysis and knowledge will be instrumental in identifying trends, optimizing processes, and driving business growth. As our organization grows, so does our reliance on insightful, data-driven decisions. You will dissect complex datasets to unearth actionable insights while possessing a strong understanding of data governance, data quality, and data management principles. Utilize Agile Framework to write business requirements in the form of user stories to enhance data, test execution, reporting automation, and digital analytics toolsets. Engage with development teams to translate business needs into technical specifications, ensuring acceptance criteria are met. Drive adherence to product and Release Management standards and operating models. Manage the release plan, including scope, milestones, sourcing requirements, test strategy, execution, and stakeholder activities. Collaborate with lines of business to understand products, data capture methods, and strategic data sourcing into a cloud-based big data architecture. Identify and implement solutions for business process improvements, creating supporting documentation and enhancing end-user experience. Collaborate with Implementation leads, Release managers, Project managers, and data SMEs to align data and system flows with Finance and Risk applications. Oversee the entire Software Development Life Cycle (SDLC) from requirements gathering to testing and deployment, ensuring seamless integration and execution. Required qualifications, capabilities, and skills Bachelors degree with 3+ years of experience in Project Management or Product Ownership, with a focus on process re-engineering. Proven experience as a Product Owner with a strong understanding of agile principles and delivering complex programs. Strong analytical and problem-solving abilities, with the capacity to quickly assimilate business and technical knowledge. Experience in Finance, Risk, or Operations as a Product Lead. Familiarity with Traditional Credit Products and Liquidity and Credit reporting data. Highly responsible, detail-oriented, and able to work with tight deadlines. Excellent written and verbal communication skills, with the ability to articulate complex concepts to diverse audiences. Strong organizational abilities to manage multiple work streams concurrently, maintaining sound judgment and a risk mindset. Solid understanding of financial and regulatory reporting processes. Energetic, adaptable, self-motivated, and effective under pressure. Basic knowledge of cloud technologies (e.g., AWS). Preferred qualifications, capabilities, and skills Knowledge of JIRA, SQL, Microsoft suite of applications, Databricks and data visualization/analytical tools (Tableau, Alteryx, Python) is a plus. Knowledge and experience of Traditional Credit Products (Loans, Deposits, Cash etc.,) and Trading Products (Derivatives and Securities) a plus.,

You have a total of 4-6 years of development/design experience with a minimum of 3 years experience in Big Data technologies on-prem and on cloud. You should be proficient in Snowflake and possess strong SQL programming skills. Your role will require strong experience with data modeling and schema design, as well as extensive experience in using Data warehousing tools like Snowflake/BigQuery/RedShift and BI Tools like Tableau/QuickSight/PowerBI (at least one must be a must-have). You must also have experience with orchestration tools like Airflow and transformation tool DBT. Your responsibilities will include implementing ETL/ELT processes and building data pipelines, workflow management, job scheduling, and monitoring. You should have a good understanding of Data Governance, Security and Compliance, Data Quality, Metadata Management, Master Data Management, Data Catalog, as well as cloud services (AWS), including IAM and log analytics. Excellent interpersonal and teamwork skills are essential, along with the experience of leading and mentoring other team members. Good knowledge of Agile Scrum and communication skills are also required. At GlobalLogic, the culture prioritizes caring and inclusivity. Youll join an environment where people come first, fostering meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Continuous learning and development opportunities are provided to help you grow personally and professionally. Meaningful work awaits you at GlobalLogic, where youll have the chance to work on impactful projects and engage your curiosity and problem-solving skills. The organization values balance and flexibility, offering various career areas, roles, and work arrangements to help you achieve a perfect balance between work and life. GlobalLogic is a high-trust organization where integrity is key, ensuring a safe, reliable, and ethical global environment for all employees. Truthfulness, candor, and integrity are fundamental values upheld in everything GlobalLogic does. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner that collaborates with the world's largest and most forward-thinking companies. Leading the digital revolution since 2000, GlobalLogic helps create innovative digital products and experiences, transforming businesses and redefining industries through intelligent products, platforms, and services.,

The Manager of Sales Systems Administration is responsible for the management and execution of software systems, including Salesforce.com. In this role, you will work closely with the company's sales and marketing teams, as well as the leadership team, to provide real-time data, reporting, decision-making support, process improvement, and training. Your primary focus will be on maintaining high data quality in each system and ensuring continuous improvement of each application. Your responsibilities will include enabling sales leaders and front-line sales executives to leverage the Black Box CRM system effectively. This will involve educating and onboarding new and current users, developing reports and dashboards for business management, creating new processes to align with business needs, and identifying new apps to enhance the efficiency of the sales team. Given the complexity of Black Box's industry and business, your role will be crucial to the success of the sales, engineering, operations, and marketing teams. Your main objective will be to manage the systems that support the sales team to optimize their use and fully enable the company's sales activities. This will involve training users, generating monthly reports, maintaining data integrity, prioritizing and executing business requirements, and collaborating with the IT team to ensure seamless integration with other sales, marketing, and finance automation applications. You will also be responsible for maintaining the quality, completeness, and value of data in the systems, including data from MDM, third-party sources, and user inputs. Additionally, you will need to manage multiple initiatives simultaneously, interact with senior leadership, oversee external vendors, and supervise direct reports. Key responsibilities include: - Managing and executing the company's CRM strategy - Designing, developing, and configuring customized solutions using Salesforce.com - Creating and maintaining fields, views, reports, dashboards, and other Salesforce.com objects - Supporting sales/revenue goals with programs, analysis, and reports - Ensuring CRM data quality and user adoption - Maintaining integrations with internal and third-party systems - Educating and supporting users through various channels - Collaborating with departments to translate business requirements into Salesforce.com features - Ensuring data integrity through governance and maintenance tasks - Staying updated with Salesforce.com updates, new technologies, and industry best practices Requirements: - 4-8 years of experience as a Salesforce Systems Administrator - Bachelor's degree in a related field preferred - Salesforce.com Administrator certification required - Experience in report-building and presentation development - Intermediate level experience with Microsoft Office applications - Strong analytical, conceptual, and problem-solving abilities - Excellent communication skills and attention to detail - Business acumen in sales, marketing, and marketing automation systems - Self-initiative and ability to support recommendations with sound thinking - Track record of meeting/exceeding goals - Ability to communicate and present effectively to all levels of the organization In summary, as the Manager of Sales Systems Administration, you will play a critical role in optimizing and enhancing the company's sales systems to drive business success and efficiency.,

As a Data Engineering Manager at GoKwik, you will have the exciting opportunity to lead a team of data engineers and collaborate closely with product managers, data scientists, business intelligence teams, and SDEs to design and implement data-driven strategies across the organization. You will be responsible for designing the overall data architecture that drives valuable insights for the company. Your key responsibilities will include leading and guiding the data engineering team in developing optimal data strategies according to business needs, identifying and implementing process improvements to enhance data models, architectures, pipelines, and applications, ensuring data optimization processes, managing data governance, security, and analysis, as well as hiring and mentoring top talent within the team. Additionally, you will play a crucial role in managing data delivery through high-performing dashboards, visualizations, and reports, ensuring data quality and security across various product verticals, designing and launching new data models and pipelines, acting as a project manager for data projects, and fostering a data-driven culture within the team. To excel in this role, you should possess a Bachelor's/Master's degree in Computer Science, Mathematics, or relevant field, along with at least 7 years of experience in Data Engineering. Strong project management skills, proficiency in SQL and relational databases, experience in building data pipelines and architectures, familiarity with data transformation processes, and working knowledge of AWS cloud services are essential requirements for this role. We are seeking individuals who are independent, resourceful, analytical, and adept at problem-solving, with the ability to thrive in a fast-paced and dynamic environment. Excellent communication skills, both verbal and written, are crucial for effective collaboration within cross-functional teams. If you are looking to be part of a high-growth startup that values innovation, talent, and customer-centricity, and if you are passionate about tackling challenging problems and making a significant impact within an entrepreneurial setting, we invite you to join our team at GoKwik!,

The company's beliefs serve as the guiding principles driving the daily operations, centered around core values of Inclusion, Innovation, Collaboration, and Wellness. These values underscore the importance of working collaboratively as a global team, prioritizing customers, self-care, interpersonal relationships, and community involvement. As a key member of the team, your role will focus on spearheading the strategic vision and advancement of cutting-edge machine learning models and algorithms to address intricate challenges. Working closely with data scientists, software engineers, and product teams, you will leverage innovative AI/ML solutions to enhance services. Your responsibilities will include constructing scalable ML pipelines, ensuring data accuracy, and deploying models in production environments to generate valuable business insights and enhance customer experiences. Key Responsibilities: - Define and execute the strategic vision for machine learning initiatives at the organizational level. - Lead the development and optimization of advanced machine learning models. - Supervise the preprocessing and analysis of extensive datasets. - Implement and uphold ML solutions in live production environments. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and assess the performance of deployed models, making necessary refinements. - Provide mentorship and guidance to junior engineers and data scientists. - Publish research outcomes and contribute to industry conversations. - Represent the company at conferences and external events. - Influence the company's AI/ML strategy and contribute to long-term planning. Minimum Qualifications: - A minimum of 18 years of relevant work experience along with a Bachelor's degree or equivalent. - Profound expertise in ML frameworks such as TensorFlow, PyTorch, or scikit-learn. - Extensive hands-on experience with cloud platforms like AWS, Azure, GCP, and tools for data processing and model deployment. - Recognized as an industry authority with a robust publication history. The company offers a range of benefits that support employee well-being and professional growth. To gain insight into our culture and community, visit https://about.pypl.com/who-we-are/default.aspx If you are interested in joining our Talent Community or have any queries regarding your application, please feel free to reach out. We acknowledge the challenges posed by the confidence gap and imposter syndrome, and we encourage all candidates to apply without hesitation.,

You are a skilled Snowflake Developer with a strong background in Data Warehousing (DWH), SQL, Informatica, Power BI, and related tools. With over 5 years of experience, you will be responsible for designing, developing, and maintaining data pipelines, integrating data across multiple platforms, and optimizing large-scale data architectures. Your expertise will contribute to efficient ELT processes using Snowflake, Fivetran, and DBT for data integration and pipeline development. You will write complex, scalable SQL queries, including stored procedures, to support data transformation, reporting, and analysis. Additionally, you will implement advanced data modeling techniques, such as Slowly Changing Dimensions (SCD Type-2), using DBT, and design high-performance data architectures. Collaboration with business stakeholders to understand data needs, troubleshooting data-related issues, ensuring high data quality standards, and documenting data processes will be part of your responsibilities. Your qualifications include expertise in Snowflake for data warehousing and ELT processes, strong proficiency in SQL for relational databases, experience with Informatica PowerCenter for data integration and ETL development, and familiarity with tools like Power BI for data visualization, Fivetran for automated ELT pipelines, and Sigma Computing, Tableau, Oracle, and DBT. You possess strong data analysis, requirement gathering, and mapping skills and are familiar with cloud services such as Azure, AWS, or GCP, along with workflow management tools like Airflow, Azkaban, or Luigi. Proficiency in Python for data processing is required, and knowledge of other languages like Java and Scala is a plus. You hold a graduate degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field. Your skills include data modeling, business intelligence, Python, DBT, performance BI, ETL, DWH, Fivetran, data quality, Snowflake, SQL, and more. This is an exciting opportunity to work with cutting-edge technologies in a collaborative environment and contribute to building scalable, high-performance data solutions.,

The Finance Corporate Solutions team at Swiss Re Corporate Solutions is looking for a highly motivated Accountant to join our Finance unit. In this role, you will be responsible for providing timely reporting of contributions to Nat-Cat and Terror pools. Your main focus will be on ensuring the high quality and completeness of the data required, as well as producing regular filings to each of the pools in which Swiss Re Corporate Solutions participates. Your responsibilities will include book pipeline premium and calculate net premium, perform financial booking and technical booking of respective policies, maintain and update documentation about each one of the pools, assist in Quarterly and Aggregate Reporting for various pools, extract data from underwriting and policy administration systems for reporting, review and confirm data quality and completeness, and update SOPs as necessary in line with changing data/system sources and/or pool requirements. To be successful in this role, you should have 1-4 years of experience post-qualification, be a CA/CA-Inter/ICWA/MBA(F) or equivalent, possess an understanding of the insurance sector, have quantitative and qualitative analytical skills, be proficient in Microsoft Office (Excel) on an advanced medium level, have a very good command of English (spoken and written) with knowledge of other European languages being a plus, and demonstrate strong interpersonal and communication skills. Additionally, you should be stress-resilient and have the ability to work independently. Swiss Re is a global leader in providing reinsurance, insurance, and other forms of insurance-based risk transfer to make the world more resilient. With a focus on managing a wide variety of risks, from natural catastrophes and climate change to cybercrime, Swiss Re covers both Property & Casualty and Life & Health. The company's innovative solutions and expertise are made possible by the collaboration of over 14,000 employees worldwide. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.,

The Customer Excellence Advisory Lead (CEAL) is focused on empowering customers to maximize the potential of their data through top-tier architectural guidance and design. Within the Oracle Analytics Service Excellence organization, the CEAL team consists of Solution Architects specializing in Oracle Analytics Cloud, Oracle Analytics Server, and Fusion Data Intelligence. The primary objective is to facilitate the successful adoption of Oracle Analytics by engaging with customers and partners globally, fostering trust in Oracle Analytics, collaborating with Product Management to enhance product offerings, and sharing insights through various channels such as blogs, webinars, and demonstrations. The ideal candidate will work closely with strategic FDI customers and partners to guide them towards optimized implementations and develop Go-live plans that prioritize achieving high usage. This role is at Career Level - IC4. Responsibilities: - Proactively identify customer requirements and unaddressed needs across different customer segments, proposing potential solutions. - Assist in developing complex product and program strategies based on customer interactions, and effectively execute scalable solutions and projects for customers in diverse enterprise environments. - Collaborate with customers and internal stakeholders to communicate strategies, synchronize solution implementation timelines, provide updates, and adjust plans as objectives evolve. - Prepare for and address complex product or solution-related inquiries or challenges from customers. - Gather and communicate detailed product insights driven by customer needs and requirements. - Promote understanding of customer complexities and the value propositions of various programs to key internal stakeholders through various channels such as events, team meetings, and product reviews. Primary Skills: - Minimum 4 years of experience with OBIA and Oracle Analytics. - Strong expertise in Analytics RPD design, development, and deployment. - Solid understanding of BI/data warehouse analysis, design, development, and testing. - Extensive experience in data analysis, data profiling, data quality, data modeling, and data integration. - Proficient in crafting complex queries and stored procedures using Oracle SQL and Oracle PL/SQL. - Skilled in developing visualizations and user-friendly workbooks. - Previous experience in developing solutions incorporating AI and ML using Analytics. - Experience in enhancing report performance. Desirable Skills: - Experience with Fusion Applications (ERP/HCM/SCM/CX). - Ability to design and develop ETL Interfaces, Packages, Load plans, user functions, variables, and sequences in ODI to support both batch and real-time data integrations. - Experience working with multiple Cloud Platforms. - Certification in FDI, OAC, and ADW. Qualifications: Career Level - IC4 About Us: Oracle, a world leader in cloud solutions, leverages cutting-edge technology to address current challenges. With over 40 years of experience, Oracle partners with industry leaders across various sectors, operating with integrity and embracing change. Oracle is committed to fostering an inclusive workforce that provides opportunities for all individuals to contribute to true innovation. Employees enjoy global opportunities with a focus on work-life balance, competitive benefits, flexible medical, life insurance, and retirement options. Volunteering in communities is encouraged through volunteer programs. We are dedicated to facilitating the inclusion of individuals with disabilities in all stages of the employment process. If you require accessibility assistance or accommodation for a disability, please contact us at accommodation-request_mb@oracle.com or call +1 888 404 2494 in the United States.,

VAM Systems is a Business Consulting, IT Solutions, and Services company that is currently seeking a Data Engineering Analyst for our Bahrain operations. As a Data Engineering Analyst, you will be responsible for supporting the finance team on data and analytics activities and Dataware House (DWH) based on your profound knowledge of banking, financial reporting, and data engineering. To qualify for this role, you must have a Bachelor's Degree in Engineering (B.E.) or MCA, along with a certification in SQL/SAS. Additionally, you should have 5-8 years of experience in the field. Your key objectives will include understanding finance and risk reporting systems/workflow, participating in system implementation, and having hands-on experience with MS Excel. Project management and stakeholder management skills are desired for this position. Your responsibilities will involve coordinating and interacting with the finance business partner to support daily finance data analysis, hierarchical mappings, and root cause analysis of identified data issues. You will also be responsible for ensuring accurate and reconciled reporting, conducting data quality reviews, and supporting the finance team in ad-hoc requests and organizing data for financial/regulatory reports. You will play a crucial role in maintaining the consistency of the bank's data architecture, data flows, and business logic. This will involve working closely with Finance and data Engineering teams to identify issues and develop sustainable data-driven solutions. Your expertise in writing and documenting complex SQL Query, Procedures, and functions will be essential in automating important financial interactions and data controls. Experience in handling SAS ETL jobs, data transformation, validation, analysis, and performance tuning is required for this role. Strong experience in SAS Management Console, SAS DI, SAS Enterprise Guide, Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, SAS Information Maps, SAS BI, SAS Stored Process, SAS Datasets & Library is also expected. If you are interested in this opportunity, please send your latest resume to ashiq.salahudeen@vamsystems.com. Joining time frame is between 15-30 days, and the selected candidates will join VAM Systems Bahrain and shall be deputed to one of the leading banks in Bahrain.,

You should have 2 - 7 years of experience in Python with a good understanding of Big data ecosystems and frameworks such as Hadoop, Spark etc. Your experience should include developing data processing tasks using PySpark and expertise in at least one popular cloud provider, preferably AWS. Additionally, you should possess good knowledge of any RDBMS/NoSQL database with strong SQL writing skills. Experience with Datawarehouse tools like Snowflake and any ETL tool would be a plus. Strong analytical and problem-solving capabilities are essential, along with excellent verbal and written communication skills. Client-facing skills are required, as you will be working directly with clients to build trusted relationships with stakeholders. Ability to collaborate effectively across global teams is crucial. You should have a strong understanding of data structures, algorithms, object-oriented design, and design patterns. Experience in multi-dimensional data, data curation processes, and data quality improvement is desired. General knowledge of business processes, data flows, and quantitative models is expected. An independent thinker who is willing to engage, challenge, and learn new technologies would be an ideal fit for this role. Role & Responsibilities: - Maintain high-quality coding standards and deliver work within the stipulated time frame. - Review the work of team members and occasionally provide guidance. - Develop an understanding of Work Breakdown Structure and assist the manager in delivering the same. - Develop sector initiatives like credential building and knowledge management. - Act as a Team lead and proficiently deliver key responsibilities aligned with the project plan.,

As an IT Business Analyst, you will play a crucial role in bridging the gap between business needs and technology solutions. Your responsibilities will include understanding business objectives and requirements, collaborating with both business stakeholders and IT teams, and developing and implementing effective solutions. You will be tasked with managing and prioritizing the data product backlog to ensure the delivery of high-value features. It will be your responsibility to translate business needs into clear data and technical requirements for development. You will write user-focused stories with clear acceptance criteria and align with technical leads to validate delivered features, emphasizing data quality and usability. Collaboration with data quality analysts to measure and enhance data quality will also be a key aspect of your role. Working with cross-functional teams such as data engineers, analysts, and architects will be essential to deliver robust data solutions. You will set sprint goals and ensure the timely delivery of data products, maintaining a prioritized backlog with detailed specifications for development teams. Additionally, you will address data-related challenges and perform ad-hoc analyses to support business goals effectively. To excel in this role, you should have a minimum of 6-9 years of experience as a Business Analyst, demonstrating strong analytical and problem-solving skills to understand complex business processes and identify improvement opportunities. Excellent communication and interpersonal skills are crucial for effective collaboration with stakeholders at all levels. Proficiency in gathering and documenting business requirements using various techniques such as interviews, workshops, and surveys is necessary. Knowledge of software development lifecycle (SDLC) methodologies and project management principles is essential. You should possess the ability to create clear and concise functional specifications and use cases for IT development teams. Experience with data analysis, data modeling, and SQL queries to analyze and interpret complex data sets will be beneficial. Strong attention to detail and the ability to prioritize tasks in a fast-paced environment are key qualities for success in this role. A familiarity with IT systems, databases, and software applications commonly used in the industry is advantageous. You should be adaptable and quick to learn, keeping up with technological advancements and industry best practices. Excellent documentation and report writing skills will be essential for effectively communicating findings and recommendations. Key skills required for this role include strong critical thinking, problem-solving, and communication skills, proficiency in agile planning, backlog management, and delivery tracking, expertise in data quality, governance, and agile practices, as well as skills in data quality assurance and product lifecycle management. A Bachelor's Degree in Computer Science, Information Technology, Business Administration, or a related field is typically required for this position. Professional certifications such as Certified Business Analysis Professional (CBAP) or Project Management Professional (PMP) are advantageous. Relevant work experience in business analysis, IT consulting, or a related field may be preferred.,

The role of Data Lead at LERA Technologies involves owning the data strategy, architecture, and engineering roadmap for key client engagements. As a Data Lead, you will lead the design and development of scalable, secure, and high-performance data pipelines, marts, and warehouses. Additionally, you will mentor a team of data engineers and collaborate with BI/reporting teams and solution architects. Your responsibilities will include overseeing data ingestion, transformation, consolidation, and validation across cloud and hybrid environments. It is essential to champion best practices for data quality, data lineage, and metadata management. You will also be expected to evaluate emerging tools, technologies, and frameworks to enhance platform capabilities and engage with business and technical stakeholders to translate analytics needs into scalable data solutions. Monitoring performance and optimizing storage and processing layers for efficiency and scalability are key aspects of this role. The ideal candidate for this position should have at least 7 years of experience in Data Engineering, including proficiency in SQL/PLSQL/TSQL, ETL development, and data pipeline architecture. A strong command of ETL tools such as SSIS or equivalent and Data Warehousing concepts is required. Expertise in data modeling, architecture, and integration frameworks is essential, along with experience leading data teams and managing end-to-end data delivery across projects. Hands-on knowledge of BI tools like Power BI, Tableau, SAP BO, or OBIEE and their backend integration is a must. Proficiency in big data technologies and cloud platforms such as Azure, AWS, or GCP is also necessary. Programming experience in Python, Java, or equivalent languages, as well as proven experience in performance tuning and optimization of large datasets, are important qualifications. A strong understanding of data governance, data security, and compliance best practices is required, along with excellent communication, stakeholder management, and team mentoring abilities. Desirable skills for this role include leadership experience in building and managing high-performing data teams, exposure to data mesh, data lake house architectures, or modern data platforms, experience defining and enforcing data quality and lifecycle management practices, and familiarity with CI/CD for data pipelines and infrastructure-as-code. At LERA Technologies, you will have the opportunity to embrace innovation, creativity, and experimentation while significantly impacting our clients" success across various industries. You will thrive in a workplace that values diversity and inclusive excellence, benefit from extensive opportunities for career advancement, and lead cutting-edge projects with an agile and visionary team. If you are ready to lead data-driven transformation and shape the future of enterprise data, apply now to join LERA Technologies as a Data Lead.,

As a Data Management Consultant at SAP's Success Delivery Center, you will play a crucial role in supporting customers on their digital transformation journey by implementing Data Management solutions such as Data Migrations and Master Data Governance. You will be part of project teams responsible for delivering SAP Implementations to customers. Your responsibilities will include being hands-on with solutions, possessing good communication skills for engaging in business discussions, and having a functional understanding of Data Management with prior development experience as an added advantage. While there might be occasional travel based on customer requirements, the primary focus will be on delivering remote and offshore solutions. One of your key objectives will be to own and acquire relevant SAP Business AI skills in order to effectively position and deliver SAP's AI offerings to customers. You will also be responsible for enhancing the adoption and consumption of various SAP AI offerings in customer use cases. You will be joining the Data Management Solution Area within BTP Delivery @ Scale, which is a dedicated team of over 100 professionals delivering engagements across a wide range of Data Management topics including Data Migration, Data Integration, Data Engineering, Data Governance, and Data Quality. SAP is a company that thrives on innovation, empowering over four hundred thousand customers globally to collaborate more efficiently and leverage business insights effectively. While originally recognized for its leadership in enterprise resource planning (ERP) software, SAP has evolved into a market leader in end-to-end business application software and related services encompassing database, analytics, intelligent technologies, and experience management. As a cloud company with over two hundred million users and a global workforce of more than one hundred thousand employees, SAP is driven by purpose and future-oriented, fostering a highly collaborative team environment and a commitment to personal growth. Whether it's connecting industries, people, or platforms, at SAP, you will have the opportunity to bring out your best. SAP's culture champions inclusion, prioritizes health and well-being, and offers flexible working models to ensure that every individual, irrespective of their background, feels valued and can perform at their best. SAP recognizes the strength that comes from embracing the unique capabilities and qualities of each person within the company and invests in its employees to instill confidence and help them realize their full potential. The company is dedicated to unleashing all talent and contributing to a more equitable world. SAP is an equal opportunity workplace and an affirmative action employer. The company upholds the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. For individuals interested in applying for jobs at SAP and requiring accommodation or special assistance to navigate the application process, a request can be sent to the Recruiting Operations Team at Careers@sap.com. For SAP employees, only permanent roles are eligible for the SAP Employee Referral Program, in accordance with the eligibility criteria outlined in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. SAP is committed to creating a diverse and inclusive work environment, and successful candidates may undergo a background verification process conducted by an external vendor.,

The Junior Process & Solution Key User - Vendor Master Data supports process/solution development, improvements, and implementation of standard processes/solution on a local site and organizational unit including any adaptations or variants. You will play a crucial role in supporting end users and ensuring the full utilization of processes and solutions. Your responsibilities will include maintaining Vendor master data management processes and standards, ensuring accuracy, completeness, and consistency of master data across various systems and platforms. Additionally, you will conduct data quality assignments, analyze business issues, and propose solutions before initiating formal change requests. Your role will involve collaborating with the Business Process Developer/Solution Leader to bring business knowledge and requirements from users, as well as participating in acceptance tests and approving/rejecting user acceptance tests for new solution releases. As a Process & Solution Key User, you will be responsible for identifying root causes to define process and solution improvement areas, proposing solutions, and escalating when necessary. You will also serve as the single point of contact for end users regarding questions about the process/solutions, including access requests. Furthermore, you will address IT end user questions, act as a point of escalation to ITS support, and register change requests with the IT team. Your role will also involve communicating and anchoring process/solution improvement proposals, supporting the implementation of standard processes/solutions, and identifying training needs in cooperation with the Business Process Developer and/or Solution Leader. To be successful in this role, you should have a minimum of 4 years of professional experience in the accounting area, with Vendor Master Data experience strongly preferred. Strong organizational and time management skills, effective written and verbal communication skills, and the ability to work in shifts are essential prerequisites. You must be detail-oriented, possess a professional attitude, and be reliable. Proficiency in SAP ECC or S/4 and Microsoft Office is required. Joining this role offers you the opportunity to be part of the Volvo Group, where you will collaborate with talented individuals to shape the future of efficient, safe, and sustainable transport solutions. Group Finance plays a crucial role in realizing the Volvo Group's vision by providing expert financial services. By joining Volvo Group Finance, you will become part of a global and diverse team of professionals who work with passion, trust, and embrace change to stay ahead. Your contributions will help make our customers successful, while working in a culture of care, inclusiveness, and empowerment.,

At PwC, our team in managed services focuses on providing a variety of outsourced solutions and supporting clients across multiple functions. We help organizations streamline their operations, reduce costs, and enhance efficiency by managing key processes and functions on their behalf. Our team is skilled in project management, technology, and process optimization, ensuring the delivery of high-quality services to our clients. Those in managed service management and strategy at PwC are responsible for transitioning and running services, managing delivery teams, programs, commercials, performance, and delivery risk. Your role will involve continuous improvement and optimization of managed services processes, tools, and services. As a member of our team, you will build meaningful client relationships and learn how to manage and inspire others. You will navigate complex situations, develop your personal brand, deepen your technical expertise, and leverage your strengths. Anticipating the needs of your teams and clients, you will deliver quality results. Embracing ambiguity, you will be comfortable when the path forward is unclear, asking questions and using such moments as opportunities for growth. Required skills, knowledge, and experiences for this role include but are not limited to: - Responding effectively to diverse perspectives, needs, and feelings of others - Using a broad range of tools, methodologies, and techniques to generate new ideas and solve problems - Applying critical thinking to break down complex concepts - Understanding the broader objectives of your project or role and how your work aligns with the overall strategy - Developing a deeper understanding of the business context and its changing dynamics - Using reflection to enhance self-awareness, strengths, and development areas - Interpreting data to derive insights and recommendations - Upholding and reinforcing professional and technical standards, along with the Firm's code of conduct and independence requirements As a Senior Associate, you will work collaboratively with a team of problem solvers, addressing complex business issues from strategy to execution through Data, Analytics & Insights Skills. Your responsibilities at this level include: - Using feedback and reflection to enhance self-awareness, personal strengths, and address development areas - Demonstrating critical thinking and the ability to structure unstructured problems - Reviewing deliverables for quality, accuracy, and relevance - Adhering to SLAs, incident management, change management, and problem management - Leveraging tools effectively in different situations and explaining the rationale behind the choices - Seeking opportunities for exposure to diverse situations, environments, and perspectives - Communicating straightforwardly and structurally to influence and connect with others - Demonstrating leadership by engaging directly with clients and leading engagements - Collaborating in a team environment with client interactions, workstream management, and cross-team cooperation - Contributing to cross-competency work and Center of Excellence activities - Managing escalations and risks effectively Position Requirements: - Primary Skill: Tableau, Visualization, Excel - Secondary Skill: Power BI, Cognos, Qlik, SQL, Python, Advanced Excel, Excel Macro BI Engineer Role: - Minimum 5 years hands-on experience in building advanced Data Analytics - Minimum 5 years hands-on experience in delivering Managed Data and Analytics programs - Extensive experience in developing scalable, repeatable, and secure data structures and pipelines - Proficiency in industry tools like Python, SQL, Spark for Data analytics - Experience in building Data Governance solutions using leading tools - Knowledge of Data consumption patterns and BI tools like Tableau, Qlik Sense, Power BI - Strong communication, problem-solving, quantitative, and analytical abilities Certifications in Tableau and other BI tools are advantageous, along with certifications in any cloud platform. In our Managed Services - Data, Analytics & Insights team at PwC, we focus on collaborating with clients to leverage technology and human expertise, delivering simple yet powerful solutions. Our goal is to enable clients to focus on their core business while trusting us as their IT partner. We are driven by the passion to enhance our clients" capabilities every day. Within our Managed Services platform, we offer integrated services grounded in industry experience and powered by top talent. Our team of global professionals, combined with cutting-edge technology, ensures effective outcomes that add value to our clients" enterprises. Through a consultative approach, we enable transformational journeys that drive sustained client outcomes, allowing clients to focus on accelerating their priorities and optimizing their operations. As a member of our Data, Analytics & Insights Managed Service team, you will contribute to critical Application Evolution Service offerings, help desk support, enhancement and optimization projects, and strategic roadmap development. Your role will involve technical expertise and relationship management to support customer engagements effectively.,

As a skilled professional in MDM solutions using Profisee, you will play a crucial role in designing, developing, implementing, and maintaining our master data management systems. Your expertise in data governance, data quality, and data integration will ensure the accuracy, consistency, and completeness of our master data. This position requires not only strong technical skills but also excellent communication abilities to effectively collaborate with cross-functional teams. Responsibilities: Solution Design and Development: Lead the design and development of MDM solutions using Profisee, encompassing data models, workflows, business rules, and user interfaces. Translate business requirements into technical specifications and MDM solutions. Configure and customize the Profisee platform to align with specific business needs. Develop and implement data quality rules and processes within Profisee to uphold data accuracy and consistency. Design and execute data integration processes between Profisee and other enterprise systems (e.g., ERP, CRM, Data Warehouse) using diverse integration techniques (API, ETL, etc.). Implementation and Deployment: Engage in the complete MDM implementation lifecycle, from requirements gathering to design, development, testing, deployment, and support. Create and execute test plans and scripts to validate the functionality and performance of the MDM solution. Troubleshoot and resolve issues pertaining to MDM data, processes, and infrastructure. Deploy and configure Profisee environments (development, test, production). Data Governance and Stewardship: Contribute to formulating and enforcing data governance policies and procedures. Collaborate with data stewards to define data ownership and accountability. Aid in establishing and updating data dictionaries and metadata repositories. Ensure adherence to data privacy regulations and security policies. Maintenance and Support: Monitor the performance and stability of the MDM environment. Offer ongoing support and maintenance for the MDM solution, encompassing bug fixes, enhancements, and upgrades. Develop and maintain documentation for MDM processes, configurations, and procedures. Proactively identify and resolve potential issues related to data quality and MDM performance. Collaboration and Communication: Work closely with business users, IT staff, and other stakeholders to grasp data requirements and implement efficient MDM solutions. Communicate proficiently with both technical and non-technical audiences. Participate in project meetings and provide regular status updates. Mentor and train junior team members on MDM best practices and the Profisee platform.,

NTT DATA is looking for a Finance & Accounting Sr Associate to join the team in Gurgaon, Haryana, India. As a part of our inclusive and forward-thinking organization, we are seeking individuals with exceptional technical and soft skills to contribute to our success. **Technical Skills:** - Very good knowledge of relevant usage of Master Data. - Strong data analysis skills. - Problem-solving abilities with a collaborative approach. - Proficiency in working with MS Office and databases. - Experience with SAP ERP. **Soft Skills:** - Excellent communication skills, both verbal and written. - Strong interpersonal skills and self-management capabilities. - Effective planning and organizational skills. - Attention to detail and ability to work under deadlines. - Capacity to handle stressful situations. - Ability to interact with individuals at all organizational levels. - Proactive with a solutions-oriented mindset. - Commitment to maintaining high accuracy and quality standards. - Capability to work independently and become a subject matter expert. - Comfortable working towards targets. - Patient and adept at managing stress. **Job Responsibilities:** - End-to-end ownership of master data management. - Creation and maintenance of Product, Client, Vendor, and Service Masters. - Review incoming requests for data duplication and completeness. - Ensure data quality by reviewing each record for correctness and completeness. - Analyze and address missing master data issues by collaborating with relevant teams. **About NTT DATA:** NTT DATA is a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we have diverse experts in over 50 countries and a strong partner ecosystem. Our services include business and technology consulting, data and artificial intelligence solutions, industry-specific services, and application development and management. NTT DATA is dedicated to digital and AI infrastructure and is part of the NTT Group, investing significantly in R&D to support organizations and society in confidently transitioning into the digital future. Visit us at us.nttdata.com.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like. You will be supported and inspired by a collaborative community of colleagues around the world, and you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. In this role, you will play a key role in performing root cause analysis on data quality issues, developing Power BI dashboards, defining and implementing data quality requirements to improve reporting accuracy, resolving discrepancies, and forming comprehensive test plans to validate source system changes. Your Profile: - Experience with Power BI - Ability to resolve data issues in a large database - Knowledge of HR domain - Experience with User Acceptance Testing (UAT) - Proficiency in Advanced Excel What you'll love about working here: We're committed to ensuring that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also, get to participate in internal sports events, yoga challenges, or marathons. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. With a strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

Senior Analyst, Investment Modeling 3-5 years of work experience in the real estate industry with proficiency in Creating, analyzing and maintaining explanatory/predictive financial models in Excel. Bachelors or Masters Degree in Finance, Real Estate, or related disciplines with excellent academic credentials or an equivalent combination of education and experience Strong knowledge in real estateproperty valuations, including Discounted Cash Flow, IRR, NPV, Time Value of Money, Return on Equity, Debt Returns, Three Statement Financial Analysis, Scenario Analysis etc. Ability to manage large and complex Financial Models. Excellent verbal and written communication skills Personally, strives to ensure data quality, consistency, and accuracy in all work. A desire to work within a diverse, collaborative, and driven professional environment. Superior problem-solving skills, self-motivation and the capacity to work under pressure and tight deadlines Key skills Experience in Financial Modelling. Creating and Developing Valuation Models from scratch Work experience in the real estate industry. Bachelors or Master's Degree in Finance, Real Estate, or related disciplines with excellent academic credentials or an equivalent combination of education and experience 3-5 years of work experience in the real estate industry You will be part of the Investment modeling team that sits within the Business line Capital Market. You will be supporting the business in the form of financial modeling, and template creation using Microsoft Excel. Passion for real estate financial modeling Do you live and breathe financial modeling to improve turnaround time and reporting capabilities. After understanding your prospects real estate client needs, you will take the lead in arranging their viewing schedules, analyzing the pros and cons of respective options, advising them on the best financial modeling strategies and seeing those strategies through to ensure maximum results. Working closely with our other brokers and analysts from various global offices, you will put together financial models for your prospective clients. These will help showcase your VBA and financial modeling knowledge. Hunting for your next success Does new business light a fire in you We, too, are just as passionate about growing our portfolio! You will always be searching for your next deal. Youll grow and leverage your network of contacts to ensure you are at the forefront of the market. Delivering excellent service You will attend routine meetings with the client together with the Team Manager. You will attend ad-hoc meetings with the brokers and analysts to address their concerns and to build a good rapport with them.

Brief team/department description: We are seeking a motivated and detail-oriented Data Analyst to join our dynamic Supply Chain team. This is an exciting opportunity to contribute to critical decision-making by leveraging data to optimize our supply chain. You will be involved in building data processing models, developing dashboards and generating insights that directly impact efficiency, cost-effectiveness, and the timely delivery of life-saving medications. Principle Responsibilities: Assist in the collection, cleaning, and preparation of datasets from various sources relevant to supply chain operations (e.g., demand forecasts, inventory levels, master data). Develop and maintain data processing methods using appropriate tools and technologies (advanced excel, PowerBi, DAX language) to ensure data quality and accessibility. Create and maintain dashboards and visualizations using Power BI and Microsoft Tools (Microsoft Lists, Power Automate, etc). Collaborate with the Supply Chain team to understand business needs and translate them into analytical requirements. Support ad-hoc data analysis requests and contribute to the generation of reports to support decision-making. Drive continuous improvement of business processes, related reports, and metrics. Support the team in leading edge thinking to identify future opportunities in Systems, Tools and Processes. Qualifications and Education Requirements Bachelor s degree in data science, Statistics, Supply Chain Management, Computer Science, Engineering or a related discipline. Proficiency in DAX programming language and use of Microsoft Suite (Lists, Power Automate, Flows & Forms). Strong analytical and problem-solving skills with the ability to interpret complex data. Strong attention to detail and a commitment to data accuracy. Basic understanding of Supply Chain in the Pharmaceutical industry and inventory management Familiarity with forecasting techniques and inventory optimization concepts is a strong advantage. By applying for this role, you confirm that you are mentally and physically capable of fulfilling the job responsibilities detailed in the job description without any restrictions. If you have any concerns or even the slightest disability that may affect your ability to perform the job, please inform HR in advance.

Data Engineer II As a Data Engineer II supporting the Infrastructure team, you will focus on building and enhancing the enterprise data environment. This infrastructure will support the delivery of analytics and reporting (descriptive, diagnostic, predictive, and prescriptive) across Finicity/Mastercard. Responsibilities - Collaborate with internal business stakeholders to understand critical data initiatives and reporting requirements. - Design and implement scalable, well-structured data pipelines to support analytics and business intelligence. - Develop and maintain robust data models and data warehouse structures to ensure data consistency and performance. - Build and optimize ELT workflows using dbt and Snowflake. - Ensure data quality, integrity, and governance across all data assets. Support the infrastructure for enterprise reporting and analytics platforms. Requirements 3-5 years of experience in data modeling, data warehousing, and ETL/ELT development. 2+ years of experience with SQL and relational databases. Hands-on experience with dbt and Snowflake. Strong understanding of data architecture and pipeline design principles. Excellent problem-solving and communication skills.

Job Description: A "Reporting & Analytics Datasphere Consultant/BW4HANA" role involves designing, developing, and implementing data warehousing solutions using SAP Datasphere and BW/4HANA to extract, transform, and load data for comprehensive reporting and analytics, requiring expertise in data modeling, data quality, and creating visualizations to support business decision-making within an organization. Key Responsibilities: Requirement Gathering: Collaborate with stakeholders to understand business needs, identify data sources, and define reporting requirements for data warehousing solutions. Data Modeling: Design and build data models within Datasphere and BW/4HANA, including dimension and fact tables, to optimize data access and analysis. Data Extraction and Transformation (ETL): Develop ETL processes using Datasphere to extract data from various source systems, cleanse, transform, and load it into the data warehouse. Reporting Development: Create comprehensive reports and dashboards using SAP Analytics Cloud (SAC) or other visualization tools, leveraging data from the data warehouse to provide insights. Performance Optimization: Monitor system performance, identify bottlenecks, and implement optimizations to ensure efficient data processing and query execution. Data Quality Management: Establish data quality checks and monitoring processes to ensure data accuracy and integrity within the data warehouse. Implementation and Deployment: Deploy data warehouse solutions, including configuration, testing, and user training. Technical Support: Provide technical support to users on data warehouse queries, reporting issues, and system maintenance. Required Skills: Proficient in SAP BW/4HANA and Datasphere: Deep understanding of data modeling, data extraction, transformation, and loading functionalities within the platform. Data Warehousing Concepts: Strong knowledge of dimensional modeling, data mart design, and data quality best practices. Reporting and Visualization Tools: Expertise in using SAP Analytics Cloud (SAC) or other visualization tools to create interactive reports and dashboards. SQL and Programming Skills: Proficiency in SQL queries and potentially scripting languages like ABAP to manipulate and extract data. Business Acumen: Ability to translate business requirements into technical solutions and understand key business metrics. Communication Skills: Excellent communication skills to effectively collaborate with stakeholders and present technical concepts clearly.