Top Data Analyst Jobs

The Data Analyst builds and maintains performance data pipelines and dashboards, ensuring compliance with privacy regulations while supporting program reporting and decision-making.

Build and maintain operations-focused dashboards and analyses to drive process improvement, quality, and efficiency. Integrate data from ADP, Smarteeva, and other sources; perform statistical analysis; present insights to leadership; partner with Technology and Process Engineering to support automation and monitor operational changes.

Manage market data sourcing, licensing, and entitlements across global vendors. Support portfolio managers and oversee data compliance and usage tracking.

The Lead Data Analyst will lead data analysis for public health projects, supervise analysts, and develop statistical models and reports.

Own high-impact data products, ingestion pipelines, and granular data feeds end to end. Analyze massive datasets to answer client and stakeholder questions, ensure data accuracy, and derive actionable insights. Improve products and pipelines by developing methodologies, scaling third-party datasets, and creating data modules. The role requires clear communication, attention to detail, methodical problem solving, prioritization, experimentation, and strong ownership. Training includes SQL, PySpark, Python fundamentals, and internal tools.

Perform data extraction, transformation, and analysis to generate insights for USCENTCOM. Build data pipelines, establish KPIs, visualize findings, and present recommendations to stakeholders to support ML/AI efforts and intelligence operations.

Leads dashboard and reporting solution development using multiple data sources. Performs advanced SQL extraction, Excel analysis, and visualization with Tableau or Power BI. Translates business requirements into actionable insights, ensures data accuracy with technical teams, and mentors junior analysts. Preferred work includes SQL optimization, database administration, ETL development, Python automation, GitLab collaboration, and Agile/Scrum methodologies.

Drive product and performance analytics for mobile app user acquisition: define core metrics, analyze campaign and product trends, build dashboards and data pipelines, support experiments and ML teams, automate reporting (including AI-powered workflows), and communicate findings and recommendations to stakeholders.

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.

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.

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.

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.

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.

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.

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.

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.

Work on client onboarding/migration as a Data Analyst/Database Developer: gather business requirements, perform data analysis, mapping, profiling and query optimization. Coordinate with US/UK/India teams and vendors, ensure data quality via control scripts, identify source systems and eliminate redundancies. Assist BUAT, train new resources, and support extracts, views, and client reports. Financial services domain expertise required.

Analyze ODOT asset management systems and databases (SQL, Oracle, Access, GIS/LiDAR); document current state; define future-state options; recommend data management best practices; develop and maintain data standards and asset documentation.

Analyze interview and exercise transcripts to extract structured qualitative findings using NLP and qualitative methods (thematic coding, discourse analysis). Conduct sentiment analysis, produce written reports and visualizations, collaborate with data and readiness teams, and support data/knowledge management practices.

Analyze purchasing opportunities and market trends to prevent stock outs and pricing losses. Collaborate with QC and sales, create purchase orders, produce regular reports, and support data-driven decision making.

The Senior Marketing & Data Analyst will lead complex analytics projects, perform data analysis and reporting, ensure data integrity, and provide actionable insights based on market data to optimize business processes and inform decision-making.

As a Data Technologist, you manage client data intake, sanitization, and organization, collaborating with engineering teams to ensure accurate data processing and quality assurance.