Top Data Analyst Jobs

Maintain and govern customer master data and CRM records; analyze sales data for forecasting, demand planning, trend analysis, and customer insights; troubleshoot data issues, enforce data policies, and produce reports and visualizations to support business decisions.

Join an Agile Scrum team to define, scope, and certify domain-level data products (quote, policy, premium, loss). Perform end-to-end business/data analysis, stakeholder liaison, data stewardship, use GenAI and Big Data tools for mapping and profiling, ensure data quality and governance, and support delivery of analytics and the product (data asset) roadmap.

Partner with marketing and analytics teams to analyze campaign and funnel performance, deliver AI-driven insights, build real-time Power BI dashboards, ensure data quality and governance, and provide actionable recommendations to drive revenue and optimization.

Analyze quantitative and qualitative datasets to measure product and business performance, build regular analytical deliverables, design and execute analyses, ensure data quality, and communicate clear, actionable insights to technical and non-technical stakeholders to inform product and business decisions.

Own sourcing, validating, and preparing PHI-containing member lists in Snowflake for email, SMS, and print. Build automated data-quality checks, manage suppression and opt-out logic, document transformations for auditability, and partner with Marketing Operations and centralized Data to ensure compliant, accurate communications and resolve upstream data issues.

Perform advanced non-ML analytics to answer business questions, build ETL workflows, create Tableau dashboards, synthesize findings, and present actionable insights to senior stakeholders to improve video products.

Build and maintain analytics data models, dashboards, and reports. Use SQL (Postgres, Trino, Iceberg) and dbt to power financial metrics. Perform deep-dive analyses using SQL and Python (Jupyter, Pandas) to answer business questions, operationalize data, and improve reporting and automation.

Owner of recurring marketing performance reporting and dashboards across paid, owned, and earned channels. Analyze campaign and segment data, consolidate cross-platform sources (GA4, ad platforms, CRM), support A/B tests and attribution, and deliver actionable insights and presentations to optimize marketing ROI and spend allocation.

As a Data Analyst at Coframe, you will respond to customer data requests, build reports, resolve data discrepancies, and automate processes.

The Data Analyst will support cloud data warehouse migration, analyze data, write SQL queries, validate data quality, and collaborate with cross-functional teams to deliver scalable data solutions.

The Data Specialist manages and analyzes data for safety investigations, ensuring data accuracy for regulatory reporting and recall activities, while improving data processes and quality.

The Business Data Analyst will work with semantic technologies, graph analytics, text mining, and big data execution while analyzing source data and developing business cases in a global delivery environment.

Design and prototype solutions, conduct solution and vendor assessments, and demonstrate critical thinking and communication skills as a Data Analyst.

Analyze data through ad-hoc and statistical methods, utilizing SQL for large data processing, presenting insights using Excel, and collaborating in teams to improve customer experience.

The Data Analyst will manage source to target mapping, data modeling, and utilize complex SQL queries while working with various databases.

The Operations Data Analyst will collaborate with various teams to improve data health, enable analytics, and develop reliable data pipelines for decision-making and operational excellence.

The Staff Data Analyst will build Boulevard's product data foundation, create data-driven recommendations, develop dashboards, conduct deep analyses, and foster a data-driven culture within the organization.

The Investment Data Analyst will centralize and enhance data automation, manage reporting functions, support data requests, and ensure data quality. Responsibilities include data manipulation for AI integration and overseeing the Investment Research Library.

The Data Analyst will leverage data to guide product decisions, enhance the rider experience, and drive growth in Lyft's Luxury services, collaborating with various teams to present strategic insights.

The Data Analyst will analyze power and cooling performance data, develop forecasts, create dashboards, and provide insights to optimize AI infrastructure.

Build, maintain, and improve Power BI reports, paginated reports, and semantic models. Write and validate T-SQL queries, work with views/stored procedures and Fabric, perform data validation, document logic, and partner with business stakeholders to deliver reliable BI solutions and KPIs.

Design and implement scalable data ingestion, ETL/ELT pipelines and transformations into Microsoft Fabric using ADF and notebooks (Python/Pandas/Spark). Build and maintain dimensional data warehouse models, ensure data quality, performance tuning, and prepare data for semantic models. Collaborate with stakeholders, participate in code reviews, documentation, and operational handoffs while establishing standards for deployment and governance.

Provide data extraction, cleansing, analysis, visualization and storytelling for SPACECOM systems. Elicit requirements, design data models and metadata, build BI dashboards (Qlik/Power BI), document governance, deliver training, and support government financial office process improvements.

The Quality Data Analyst collects and analyzes quality data to improve manufacturing performance. They support QC and QA teams by generating reports, monitoring metrics, and collaborating on process improvements.

The Senior Loans Fraud Data Analyst will drive fraud strategy analytics for loan acquisitions, optimize processes, report to management, and collaborate with partners to enhance fraud prevention strategies.