Role Description We're looking for great new colleagues to join our team at Nagarro, a Digital Product Engineering company that is scaling in a big way! Requirements - Total experience 5.5+ years. - 5-8 years of experience in data analysis, system implementation support, testing support, or PMO/BA roles with strong data exposure (banking/financial services preferred). - Experience supporting data migration, reconciliation, or test data activities is an advantage. - Familiarity with core banking/deposits concepts (CASA/Time Deposit) is a plus. - Experience with legacy-to-modern platform migrations (AS/400 to modern core banking, cloud-native or microservices architectures) is strongly preferred. - Hands-on experience with DMS platforms or other core banking platforms. - Knowledge of data quality and validation concepts. - Working understanding of ETL concepts and migration lifecycle. - Understanding of banking data objects (customer/account, balances, product parameters, transaction history) and downstream impacts. - Strong analytical skills; comfortable working with large datasets and spotting patterns/variances. - Proficiency in SQL (preferred) and Excel; experience with data tools (e.g., Power BI) is a plus. - Strong documentation discipline (logs, trackers, evidence packs) and attention to detail. - Good communication skills to coordinate clarifications and follow-ups across IT, vendor, and business SMEs. - Structured problem-solving and ability to summarize issues and impacts clearly. Responsibilities - Maintain and update migration workplan trackers (mock run schedule, environment data refresh plan, reconciliation checkpoints, cutover readiness checklist). - Support requirements-to-data traceability: maintain source-to-target mapping tracker, transformation rule clarifications, and sign-off status across stakeholders. - Perform data validation activities using agreed control framework (record counts, control totals, sample-based checks, exception analysis) against vendor outputs. - Support reconciliation preparation and review (balance reconciliations, account-level variances, GL/SL tie-outs where applicable); document findings and follow up with owners. - Manage defect and exception logs for data migration (capture issues, categorize root cause themes, track to closure, support evidence collation). - Coordinate data-related SIT/UAT readiness: confirm test data availability, refresh requests, masking requirements (if applicable), and resolve data blockers with vendor/IT teams. - Prepare artifacts and evidence for governance and auditability (mapping approvals, run results, reconciliation reports, signoff packs, cutover runbooks attachments). - Produce regular status updates and dashboards for the Data Migration Lead (progress, risks/issues, decisions needed, upcoming milestones). - Support cutover activities and mock runs (checklist execution support, results collation, variance reporting, post-run lessons learned capture). - Ensure adherence to client data security and access controls when handling extracts, files, and non-production data. Qualifications - Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Title: Provider Audit Data Analyst - Remote Location: Plymouth United States Job Description: Requisition number: 2366306 Job category: Business & Data Analytics Primary location: Plymouth, MN Overtime status: Exempt Travel: No Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Data Analysis and Modeling: - Apply advanced statistical and mathematical techniques to analyze complex datasets - Generate actionable insights and recommendations based on data analysis - Database Management: - Design and implement efficient and scalable database architectures - Optimize database performance to ensure fast and reliable data retrieval - Develop and maintain data models, data dictionaries, and other documentation - Troubleshoot and resolve database-related issues - Data Extraction and Transformation: - Extract, clean, and transform data from various sources for analysis - Ensure data integrity and quality through rigorous validation and testing - Data Visualization and Reporting: - Create visually appealing and informative dashboards and reports - Present findings and insights to stakeholders in a clear and concise manner - Continuous Learning and Improvement: - Stay up to date with the latest data analysis techniques and tools - Identify opportunities to improve data analysis processes and methodologies - Actively participate in knowledge sharing and mentoring within the team You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 3+ years of experience in SQL and experience with relational database management systems (e.g., MySQL, Oracle, SQL Server) - Solid experience with Root Cause Analysis & Data Quality Preferred Qualifications: - Coding skills, e.g., Python, R - Proven excellent problem-solving and critical thinking skills - Proven solid communication and presentation skills to effectively convey complex data analysis findings to both technical and non-technical stakeholders - Proven ability to work independently and collaboratively in a fast-paced, deadline-driven environment - Ability to be detail-oriented with a focus on accuracy and data integrity *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $60,200 - $107,400 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Role Description This role is a Senior Data Analyst on our Research & Analytics team that supports enrollment operations. We work with member and enrollment data across lines of business like Medicaid, Medicare, Marketplace, and Duals. Our main job is to analyze data issues, fix data when needed, and build reporting and dashboards that help our operations teams run smoothly. Ultimately, our work ensures members have accurate coverage and maintain compliance with CMS/state regulations. - Designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, analysis, modeling, and predicting to enable informed business decisions. - Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. - Collaborates across departments and with customers to define requirements and understand business problems. - Uses advanced mathematical, statistical, querying, and reporting methods to develop solutions. - Develops information tools, algorithms, dashboards, and queries to monitor and improve business performance. - Creates solutions from initial concept to fully tested production and communicates results to a broad range of audiences. - Effectively uses current and emerging technologies. Qualifications - Advanced SQL, Power BI, SSRS, Azure Databricks - Enrollment experience - Eligibility and member data experience, EDI transactions (834) experience - Python and R are a plus Requirements - With limited supervision, the Sr. Analyst, Data is responsible for data compilation, data management, data analysis, and reporting. - Extracts and compiles various sources of information and large data sets from various systems or applications. - Sets up process for monitoring, tracking, and trending information and data using various systems or applications. - Prepares well-organized, easily understood reports, analysis, and summary of findings for use by management. - Assists in preparation of regularly produced reports to support executive decision-making. - Researches and analyzes report results identifying opportunities and trends. - Works with internal, external, and enterprise individuals as needed to research, develop, and document new standard reports or processes. - Consolidates data from multiple sources, using industry-based tools or manually; able to process data effectively using Microsoft Excel. - Supports management and other team members as requested on all things data related. Benefits - Molina Healthcare offers a competitive benefits and compensation package.

Role Description CES GridBOOST is an advanced energy management platform that enables grid assets to participate intelligently in electricity markets. As a Data Analyst in the Forecasting and Optimization team, you will sit at the core of the product — owning the quantitative models that determine how GridBOOST bids into day-ahead, intraday, and ancillary service markets. Your work will span two tightly coupled disciplines: - Building optimization engines that translate market rules and grid constraints into optimal bid strategies. - Developing machine learning models that forecast electricity prices to inform those strategies. You will work in a cross-functional team alongside software engineers and market operations specialists, with your models running in production and directly influencing real-world market outcomes. Qualifications - Bachelor's or Master's degree in Operations Research, Applied Mathematics, Electrical Engineering, Data Science, or equivalent. - 3+ years of hands-on experience in the electricity domain — energy trading, grid operations, market analysis, or a closely related quantitative role. - Demonstrated experience formulating and solving optimization problems for real-world scheduling, dispatch, or resource allocation use cases. - Proficiency with at least one solver (Gurobi, HiGHS) and an optimization modelling library (Pyomo or similar). - Hands-on experience building and deploying ML forecasting models for time-series data, preferably electricity prices or energy load. - Strong Python skills including pandas, scikit-learn, and at least one deep learning framework. - Experience working with high-frequency time-series market data and external data APIs. - SQL proficiency for querying and extracting market and operational data. - Ability to communicate complex quantitative results clearly to non-technical stakeholders. Requirements - Solid understanding of U.S. ISO/RTO electricity markets, including their clearing mechanisms and pricing rules (Highly Preferred). - Hands-on experience building and deploying forecasting and bid optimization algorithms in the electricity markets. - Ability to work with remote and global teams across multiple time zones. Benefits - Competitive salary commensurate with experience. - Performance bonus and profit-sharing. - Medical Savings Account. - Comprehensive health insurance. - Disability and life insurance. - 401(k) matching. - Tuition reimbursement. - Meaningful responsibility and the opportunity to make a real impact in dynamic energy markets. - The chance to learn from and collaborate with experienced professionals across global teams. - Ongoing opportunities to strengthen your technical, analytical, and leadership skills. - A supportive culture that values initiative, accountability, and continuous professional growth.