Top Data Analyst Jobs

Owns data labeling, quality control, rule building, alert tuning, and regulatory reporting for fraud, AML, compliance, and partner analytics. Analyzes transaction activity, manages parameter mappings, monitors fraud-system alerts, recommends model adjustments, documents data processes, and supports audit readiness. Serves as a subject matter expert for processor data, Sotera, Snowflake, and related platforms while mentoring junior analysts.

Lead analytics for Business Cards & Payments field strategy by building data solutions, dashboards, and data-quality tooling. Partner with business stakeholders to deliver insights, manage data governance, and implement self-service analytics using scripting, BI tools, and cloud services.

Lead analytics engagements supporting digital products and client experience improvement. Translate business objectives into analytical approaches, manage and validate data assets, deliver insights and recommendations, visualize findings, measure feature and initiative impact, and improve reporting and measurement processes. Partner with product, technology, UX, and business stakeholders while mentoring peers and advancing analytics capabilities.

Build scalable data models, production pipelines, dashboards, reporting, and analytics products for Stripe’s global payments business. Own data quality, testing, monitoring, documentation, and metric definitions. Partner with senior leaders to translate business needs into analyses, identify opportunities, and shape product strategy across global markets.

Lead compliance analytics for BSA/AML and CRA: tune transaction monitoring and watchlist screening, build and streamline compliance reporting, support UAT, audits and regulatory exams, collaborate with Model Risk, Data Engineering and Technology, and prepare executive reporting.

Leads data analysis supporting Navy logistics by building Power BI and Qlik Sense dashboards, conducting statistical and exploratory analysis, developing KPIs, and transforming DoD datasets. The role cleans and integrates data using SQL, Python or R, builds ETL/ELT pipelines in Databricks, and works with ADVANA and cloud data environments to deliver reliable, executive-ready analytics. It requires an active Secret clearance, a technical bachelor’s degree, and at least five years of professional experience.

Analyze complex, high-volume data; create dashboards, visualizations, KPI reports, and ad hoc analyses; communicate actionable insights to technical and non-technical stakeholders; collaborate cross-functionally to define analytics requirements; improve reporting practices; and provide guidance and training on analytical tools and methodologies.

Lead design, development, and administration of enterprise Power BI solutions and Azure-based data pipelines. Build semantic models, dashboards, KPIs, and advanced analytics (forecasting, segmentation, predictive models). Optimize T-SQL, DAX, and ETL/ELT processes, enforce data governance and RLS, mentor teams, and partner with executives and stakeholders to translate business goals into scalable BI solutions.

Analyzes and validates data from multiple sources to produce reports, executive briefings, dashboards, and recommendations. Maintains data compilation, cataloging, retrieval, and database or spreadsheet records. Supports ad hoc analytical projects, client inquiries, information management, and collaboration workflows. Builds and maintains SharePoint resources, consolidates stakeholder information, and delivers accurate, leadership-level presentations while protecting confidential data and supporting organizational decision-making.

Retrieves and analyzes institutional data to create reports supporting college leadership, strategic planning, assessment, and performance improvement. Develops KPIs, metrics, and surveys; provides consultation and training on data interpretation; partners with IT to maintain a secure data repository; and performs ad hoc analyses and project support for academic units and college offices.

Analyzes complex aviation logistics and maintenance data to improve aircraft readiness and support decision-making. Responsibilities include data management, statistical analysis, anomaly detection, dashboard and visualization development, reporting, query and workflow automation, secure data handling, quality assurance, and briefing technical findings to stakeholders and leadership. The role also establishes data collection and storage systems and advises on project progress, risks, and outcomes.

Lead analysis and insights for sports game titles; translate product and business needs into actionable, data-driven recommendations; build reports and visualizations; develop scalable self-service tools; mentor analysts and partner with Product, Marketing, and Commercial teams to drive player and business outcomes.

Analyze Medicare and Medicaid datasets, design analytical approaches, review R and SAS programming, build healthcare financial models, and translate complex findings into visualizations, presentations, publications, and policy recommendations. The role manages multiple consulting projects, collaborates across teams, presents results to clients, and supports healthcare policy and business decisions.

Supports an enterprise data governance program by establishing governance standards, maintaining data dictionaries and metadata repositories, defining data quality rules, documenting lineage, conducting profiling and validation, and creating governance dashboards. The role partners with business and technical stakeholders across AWS and Snowflake environments and supports data classification, retention, and lifecycle management initiatives.

Supports client data integration by analyzing file structures, creating source-to-target mappings, configuring imports, validating transformations, troubleshooting ingestion failures, and supporting onboarding. The role performs testing, production support, documentation, and process improvement while collaborating with clients, QA, implementation managers, and ETL developers. It requires data mapping, ETL familiarity, SQL knowledge, and experience handling CSV, XML, and JSON files.

Transforms enterprise IT operations, monitoring, KPI, and performance data into executive dashboards, heatmaps, trend analyses, forecasts, anomaly detection, and narrative insights. Integrates data from monitoring, ticketing, incident, and operational systems; develops standardized reporting templates; documents analytical workflows; and collaborates with engineering, service desk, cybersecurity, and PMO teams to support federal reporting and leadership decisions.

Supports compliance testing for consumer lending and servicing by sourcing and analyzing loan-level data, building sampling and automated testing scripts, evaluating internal controls, identifying performance trends, preparing compliance KPIs and reports, and communicating control weaknesses and remediation plans. The role also contributes to data architecture and develops subject-matter expertise in financial services compliance.

Leads complex data analytics projects from strategy through completion, delivering predictive models, statistical analyses, dashboards, and actionable insights. Owns data integration, transformation, visualization, experimentation, governance, and ELT quality across Snowflake, DBT, Tableau, and Metabase. Partners with cross-functional stakeholders, mentors analysts, promotes self-service reporting, and communicates findings to leadership. Requires 5–8 years of analytics or business intelligence experience.

Analyze consumer sales and order data to identify purchasing trends, product preferences, pricing impacts, and trade-up behavior across products, stores, markets, and time periods. Translate findings into actionable recommendations for product and business decisions while developing skills in data analysis, visualization, problem solving, and stakeholder communication.

Build and maintain facility maintenance performance dashboards, monthly reports, cost-avoidance analyses, and failure/lifecycle analyses. Define metrics with government customers, validate data quality, document data sources and calculation rules, support parts-demand planning, and explain data issues to operations staff. The role requires SQL, dashboard design, data visualization, and compliance with sensitive-data and CUI handling practices.

Own end-to-end data and reporting solutions for a regulated mortgage lender. Responsibilities include request intake, requirements gathering, advanced SQL development, data profiling, validation, reconciliation, testing, UAT, migration support, launch readiness, post-launch monitoring, and stakeholder communication. The role also ensures data lineage, quality, compliance, and alignment with mortgage regulations while managing projects from scoping through production support.

The Data Analyst will organize, validate, transform, and reconcile data from multiple healthcare practice management systems. Responsibilities include writing SQL and Python scripts, supporting a centralized data warehouse, building BI dashboards, validating data quality, analyzing business trends, documenting data processes, and partnering with Finance, Operations, Marketing, and leadership to deliver actionable insights.

Analyzes KPIs, product performance, marketing campaigns, and digital customer behavior. Creates Adobe-based visualizations and workflows, defines metrics aligned with enterprise goals, gathers requirements, develops acceptance criteria, and supports testing and validation. Acts as a liaison among product managers, data engineers, and visualization teams while interpreting analytics for executive reviews. The role requires stakeholder facilitation, strong communication, Adobe Analytics expertise, and on-site work in Seattle.

Analyzes user behavior, content metadata, engagement patterns, and topic relationships to support personalization, taxonomy, ontology, content strategy, and product decisions. Builds dashboards, identifies content gaps and behavioral trends, segments users, supports experimentation, and communicates actionable insights to product, editorial, ML, and personalization teams.

Analyzes healthcare marketing data processes, reporting requirements, transformations, and data quality across databases and platforms. Develops reporting tools, identifies anomalies and data loss, troubleshoots aggregate and PLD issues, manages metadata, supports data delivery, publishes campaign metrics, and performs ad hoc analysis. Requires SQL querying, visualization, dashboard development, client communication, quality assurance collaboration, and actionable recommendations.