Top Data & Analytics Jobs

Analyze complex financial and business data to guide planning, forecasting, investment decisions, and strategic growth. Partner with FP&A, Accounting, RevOps, Product, Marketing, Data Engineering, and analytics teams; automate recurring workflows; build self-service dashboards and data assets; improve analytics infrastructure; and communicate actionable insights to technical and non-technical stakeholders.

Develop and improve TransUnion's IP geolocation technology by analyzing large datasets, implementing automation algorithm improvements, and providing analytic insights. Collaborate with engineers and data scientists, use SQL/R/Python/MongoDB/BigQuery, and communicate findings to nontechnical stakeholders. Hybrid role with regular in-office work.

Support solution architecture by analyzing current-state processes, data flows, interfaces, and reporting needs; produce data mappings, conceptual/logical models, ER summaries, interface inventories, and stakeholder-ready documentation to inform modernization, integration, governance, and release readiness across vendors and Scrum teams.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

Analyze internal and external data to identify trends, build targeted datasets for omnichannel marketing campaigns, and provide product, customer, segment, and business-unit recommendations. Develop and implement statistical response, performance, and lookalike models using Python and R. Create KPIs from multiple data sources and collaborate with internal teams to support campaign performance and decision-making.

Analyzes global Sales Operations data for pipeline, forecasting, bookings, billings, attainment, product, regional, and customer performance. Translates complex findings into executive insights, recommendations, risk narratives, and planning support. Partners with sales, finance, product, and reporting teams to improve decision-making, data quality, reporting adoption, territory planning, goal setting, and operational execution.

The Senior Data Analyst serves as a bridge between business stakeholders and enterprise data platforms. Responsibilities include defining KPIs, analyzing customer and commercial data, building dashboards and reporting solutions, developing SQL and Python data transformations, managing pipelines, integrating enterprise systems, and establishing data governance and quality standards.

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

Turn utility customer data into actionable insights by building dashboards, performing bespoke analyses, validating outputs, and supporting customer engagements. Partner with power engineers, data engineers, and product to ensure data quality, translate findings for stakeholders, and turn repeatable analyses into product features while improving delivery tooling and processes.

Develop and maintain Power BI dashboards and scalable data models for financial reporting, forecasting, KPI tracking, and executive visibility. Analyze financial and operational data to identify trends, variances, and opportunities; partner with Finance, Accounting, IT, and Operations to ensure data consistency. Prioritize and deliver analytics work in an Agile framework, support automation of reporting, and implement standardized reporting and data governance practices.

Analyze clinical trial and imaging data to identify trends, anomalies, and data-quality issues. Aggregate information from Power BI reports, EDC, CLARIO, and other sources; create dashboards and customized reports; troubleshoot discrepancies; and develop tools that improve analysis efficiency. The role partners with clinical and cross-functional teams to support forecasting, reporting, process improvement, and evidence generation for transcatheter heart valve products.

Build automation, data pipelines, data lakes, visualizations, and reporting infrastructure for Finance. Analyze financial data, improve data quality and auditability, support systems integrations and transformation initiatives, investigate issues, and translate stakeholder needs into product requirements. Partner with treasury, accounting, FP&A, Engineering, and Systems teams while evaluating technologies and developing scalable, near-real-time data solutions.

Build scalable analytics solutions for the Public Sector business, including dashboards, data models, tables, metric definitions, and ad hoc analyses. Own data quality, partner with Operations and Finance on efficiency and cost analysis, and translate complex findings into actionable insights. Drive cross-functional projects from ambiguity to completion while supporting planning, pricing, and business decision-making.

Build AI-assisted analyses, clean and validate scholar data, create interactive dashboards, develop fair analytical methodologies, and translate findings into clear recommendations for executives. Partner with data and learning teams and present insights to senior leaders. The role emphasizes quantitative reasoning, clear communication, design judgment, high agency, and rapid learning rather than a specific background or number of years of experience.

Designs and executes large-scale data migrations and conversions into Fiserv products. Builds custom database solutions and reusable ETL tooling, ensures data integrity, supports integrations, and leads go-live troubleshooting and incident response. Collaborates with clients and product teams on requirements and technical designs, evaluates database technology components, and may assist with hiring and staffing allocation management.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

Supports a Department of Defense project assessing service members’ fitness for duty and eligibility for disability separation or retirement. Analyzes systems and business data, identifies data frameworks, supervises personnel, and integrates system-level data requirements and architectures into enterprise architectures compliant with DoD regulations.

Leads Northwest Bank’s enterprise data governance program, including data policies, quality rules, lifecycle management, metadata, master data, stewardship, governance tooling, and remediation. Facilitates Data Working Groups, investigates root causes, manages governance metrics and reporting, demonstrates tools, documents processes, and supports training. Partners across a matrixed organization to ensure data assets meet standards, controls, regulatory requirements, and business needs.

Analyze and validate imported and exported data, create reports and governmental documents, troubleshoot data issues, and maintain data integrity. Track brand and campaign performance, update database and reporting systems, and identify opportunities to automate data gathering, report generation, and document delivery. Ensure reporting aligns with business, regulatory, GDPR, manufacturing, quality, and customer requirements.

Supports Finance data governance initiatives by defining standards, documenting requirements, analyzing data quality, managing data-related issues, and coordinating Finance, Data, and Technology stakeholders to improve consistency, transparency, controls, and decision-making.

Lead the definition and execution of enterprise investment data strategy. Analyze investment datasets and workflows, identify data quality and lineage issues, design logical data models and metadata standards, drive governance and reusable data services, and partner with portfolio managers, quants, and technology teams to deliver scalable data solutions and AI-enabling capabilities.

Build and maintain Power BI reporting products, integrate and validate institutional data, conduct applied quantitative and qualitative research, deliver analyses and visualizations, manage projects and reporting standards, and support cross-organization analytics and stakeholder decision-making.

Designs and maintains enterprise reporting, dashboards, semantic models, and analytics solutions using Snowflake, Power BI, and SQL. Translates business requirements into scalable data products, performs complex analysis, and communicates insights to technical and non-technical stakeholders. Supports data governance, quality, metadata, automation, testing, deployment, and production support. Promotes data literacy, mentors peers, evaluates emerging technologies, and contributes as an analytics subject matter expert on enterprise projects.

Own end-to-end analytics for a designated business area, including data pipeline development, SQL analysis in AWS Redshift, Tableau dashboards, automated reporting, data quality, and stakeholder communication. Translate complex business questions into actionable insights, develop subject-matter expertise, identify data gaps, and independently drive solutions while partnering with revenue, product, operations, engineering, and BaaS stakeholders.

Leads enterprise API governance operations, including API inventory reconciliation, data-quality analysis, KPI/KRI reporting, governance controls, audit support, remediation tracking, and process improvement. Partners with engineering, architecture, security, risk, and technology leadership teams to resolve findings, maintain governance documentation, and present inventory health, compliance, and operational risk insights. Requires advanced analytical, communication, regulatory compliance, and subject-matter expertise.