Top Data Analyst Jobs

Owns analytics for Spotlight Listings, including KPI frameworks, executive dashboards, inventory capacity modeling, pricing and packaging experiments, revenue reporting, data quality, and marketplace measurement. Partners with Product, Marketing, Sales, Engineering, and FP&A to guide commercial decisions, improve product performance, and identify renewal risks. Requires advanced SQL and Python skills, causal inference expertise, experimental design experience, and the ability to translate analysis into measurable revenue or product impact.

Design and maintain billing data systems that reconcile patient engagement data, codify auditable billing logic in BigQuery SQL, automate data cleanup with Python or Google Sheets scripting, and generate accurate, version-controlled invoice files. Investigate mismatches and edge cases, document workflows, and collaborate with Finance, Sales, Engineering, and Product to improve billing inputs and processes.

Develop data solutions, business intelligence tools, dashboards, and analytical insights while managing data quality, metadata, lineage, security, access governance, and data quality monitoring. Partner with business and technology teams to address complex data problems and enable self-service analytics. The role requires scripting, querying, visualization, AWS development, and data governance expertise.

Support stakeholders to gather and document requirements for analytics, reporting, data products, and AI solutions. Perform exploratory data analysis with SQL, identify data quality issues, create user stories and technical specifications, coordinate with engineering and BI teams, facilitate discovery workshops, and support UAT and standardized analytics practices.

Implement and monitor pricing strategies across consumer lending: translate strategy into technical specs, maintain audit trails, collaborate with engineering, validate data pipelines, build automated controls and Tableau dashboards, support risk management, and coordinate execution with internal and external partners.

Supports analytics teams by creating reports and dashboards, conducting data extraction, cleaning, validation, and basic analysis. Documents queries and business requirements, translates business needs into specifications, supports projects under guidance, and communicates findings to technical and nontechnical stakeholders. The role also develops foundational skills in data storytelling, governed cloud data platforms, metric validation, and workload organization.

Analyzes Tax & Cost Basis data processes, trends, and quality; develops reports and actionable recommendations; tests software and data workflows; documents procedures; collaborates with Product, Operations, and Development; and helps automate processes to improve efficiency and reduce manual work.

Leads healthcare analytics and payment integrity initiatives, using claims data, statistical analysis, BI tools, and dashboards to identify cost savings and improve client outcomes. Defines data and product requirements, validates solutions, presents insights to leadership, influences stakeholders, monitors market trends, and mentors analysts. Serves as a subject matter expert in medical claims, pricing, coding, and cost management while coordinating cross-functional projects.

Analyze and visualize large customer datasets, build production-grade data models and scalable data products, automate manual analytical workflows, and create AI-assisted, conversational, and self-service analytics experiences. Translate ambiguous stakeholder needs into actionable solutions while collaborating across teams and experimenting with generative AI and modern data technologies.

Serves as an enterprise architecture subject matter expert within a DoD environment. Supports DoD Business Enterprise Architecture initiatives, business process alignment, enterprise strategy, stakeholder analysis, requirements documentation, reporting, and project activities using MEGA HOPEX and Microsoft Office tools.

Analyze complex data to solve business problems through innovation, business intelligence, and data management. Build self-service data solutions, dashboards, metrics, and visualization tools; deliver strategic insights; and manage data quality, metadata, lineage, security, access governance, and monitoring. Collaborate with business and technology teams while using scripting languages, data platforms, and AWS services.

Define and standardize enterprise data risk metrics, build dashboards and data products, monitor data quality and emerging risks, translate policies into measurable controls, and generate executive insights. The role partners across business, technology, risk, and data teams; leads cross-functional initiatives; supports data access governance; develops self-service data capabilities; and uses AI and cloud technologies to improve data management and reporting.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Produces automated and custom client-facing healthcare reports, translating ambiguous business questions into robust analyses and presentations. Builds scalable reporting automation with data engineering partners, improves report efficiency and accuracy, identifies reporting gaps, develops domain expertise, and investigates complex business questions for strategic decision-making. Advocates for strong data visualization, documentation, metric consistency, and stakeholder communication practices.

Validate and review CO APCD-derived data products using SQL and visualization tools, perform output comparisons and project-level analyses, follow quality control standards, document findings, and communicate results to technical and non-technical stakeholders while supporting continuous improvement of data QA processes.

The Big Data Analyst will evaluate datasets, improve analytical methods, support software developers, and assist end-users to enhance decision-making processes.

Build and productize externally consumable data assets from concept to delivery. Define schema, governance, SLAs, documentation, and delivery (Snowflake share, SFTP, API). Partner cross-functionally to productionalize datasets, monitor quality, iterate on customer feedback, and create repeatable productization frameworks.

Partner with Sales, Product, Engineering, and Operations to build the GTM analytics foundation for a new dealer software pillar. Own pipeline, install base, churn, demo-to-close, and launch analytics; identify and fix Salesforce/process gaps; create prospecting and churn-risk signals; write production-grade SQL on Snowflake and productionize assets in dbt; and maintain dashboards in Looker, Omni, and Salesforce CRM Analytics to drive measurable go-to-market execution.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

Design, build, and maintain data solutions to support enterprise risk. Partner with business to produce dashboards and analyses, drive data quality, metadata and lineage practices, manage data access governance, and use open-source tools and cloud services to enable self-service analytics.

Lead data strategy and analytics for Compliance and AML, develop ETL and validations, quantify regulatory risk, communicate insights to stakeholders and regulators, and drive cross-functional compliance initiatives.

Lead validation of enterprise-wide analytical tools for risk management: plan and execute validation projects, assess methodology quality and tool risk, prototype best practices, communicate findings, and coach junior staff.

Analyzes large-scale payment datasets to identify optimization opportunities and deliver recommendations that support merchant growth. Builds scalable analytics solutions, ETL pipelines, automation, and self-service tools; leads A/B tests and complex data investigations; develops dashboards; and translates findings into actionable narratives for technical, commercial, and product stakeholders. The role also supports mentorship, knowledge sharing, and analytical best practices.

Lead data analytics for network and merchant compliance: design tests, build models and reporting, mine large datasets, improve data quality and processes, advise stakeholders on risk, and manage a team to implement compliance analytics solutions.

Lead data strategy and analytics for Compliance, focusing on Financial Crimes/AML. Drive ETL, source validation, and analyses to quantify compliance risk, support regulatory engagements, and influence product and compliance roadmaps. Communicate insights through visualization and cross-functional collaboration while leading multiple high-impact workstreams.