Top Data Analyst Jobs

Design, deliver, and support Power BI and Power Platform analytics for commodity trading and shipping. Partner with traders and stakeholders to gather requirements, build datasets, reports, automation, and governance. Optimize report performance, document data models, provide training, and promote BI adoption to enable data-driven trading decisions.

Design and analyze experiments, measure campaign incrementality, identify customer segments and engagement opportunities, validate tracking and anomalies, surface actionable insights, and build scalable measurement infrastructure with cross-functional partners.

Support HRIS implementation by extracting, cleansing, validating, and preparing employee data for migration. Reconcile reports, fix duplicates and missing data, create Excel transformation files, maintain data quality, document work, and assist with testing and post-go-live support.

Perform performance analytics, reporting, and customer segmentation for sportsbook generosity campaigns. Analyze customer behavior and promotional engagement, build hypotheses, validate data quality, maintain reporting, create clear visualizations, and collaborate with stakeholders to optimize campaign performance. Use SQL and Excel daily and leverage AI responsibly to accelerate analysis.

Build and maintain revenue and customer-lifecycle reporting, author complex BigQuery SQL, develop segmentation and clustering models in BigQuery ML, perform entity resolution and data quality reconciliation, migrate and maintain Tableau dashboards, and deliver ad-hoc and recurring analyses to support Sales, Revenue, and cross-functional teams.

The Data Analyst will collect, clean, and analyze data to support business decisions. Responsibilities include creating reports and dashboards and presenting insights to stakeholders.

Support Transit Signal Priority program through data analysis: develop and evaluate priority corridors, monitor corridor performance, coordinate analytics with NYC DOT and MTA, and assist on related transit priority projects (real-time passenger information, automated enforcement, shelters/stops).

Analyze data from multiple sources, write and validate SQL queries, build dashboards and reports, define business metrics, investigate trends and anomalies, and present actionable recommendations to stakeholders while improving data quality and supporting forecasting and experiments.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Gather and document business and data requirements, translate needs into functional specs and source-to-target mappings, write SQL to profile and validate data, interpret Duck Creek policy XML and map to Insights tables, collaborate with developers/data engineers, support data quality/governance and reporting, facilitate stakeholder meetings, and assist support teams with data issue analysis.

The Data Analyst II is responsible for designing, developing, and administering data constructs, ensuring data quality, and working with large data sets while coordinating multiple streams of work.

Partner with business teams to pull, clean, validate, and analyze data. Build and maintain dashboards and automated reporting using Microsoft Fabric and Power BI. Use SQL, Excel, AI tools, and automation to deliver scalable insights, support ad hoc requests, and drive process improvements that inform decisions.

Verify and maintain database master and control file metadata; identify, research, and resolve data errors; generate and respond to reports; document system files and reports; recommend improvements and coordinate modifications; learn legacy source systems and perform source-to-target data mapping to support analytic data lineage.

Partner with distributor strategy and support teams to onboard distributors, analyze customer lists, measure distributor ROI, track initiatives, support account managers, and produce Power BI visualizations and reports to drive retailer adoption.

Provide and develop timely reports from the data warehouse using BI tools and SQL; maintain and build reports and database applications; design and validate ETL processes and data transforms; administer CRM and Accelehealth; support QA, documentation, and project reporting; ensure EPHI access compliance and provide backup to senior systems analysts/project managers.

Design, build, and maintain SSIS-based ETL templates to convert legacy customer data into corporate systems. Support ETL leads, perform QA on data conversion projects, and document/refine ETL policies and procedures to ensure accurate integrations and a strong customer experience.

Design and implement ETL processes for assigned business intelligence projects to extract, transform, and load data that supports reporting and analytics.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Build quantitative analytics and electronic trading products by combining data analysis and full-stack web development. Develop dashboards and tools using ELK, JS frameworks, and SQL databases; write complex queries against Sybase/Sybase IQ/Rainstor and perform Excel-based analysis. Work in a small, entrepreneurial team to deliver production-ready analytics and web applications. C#/.NET and unstructured data exposure are nice-to-haves.

Manage and maintain digital measurement and tracking across web and server-side setups. Implement and validate conversion tracking and Conversion APIs, configure GA4, build client-facing dashboards, audit analytics accounts, troubleshoot discrepancies, define custom data layers, support API/CRM integrations, and translate technical findings into actionable campaign insights while ensuring privacy-compliant measurement.

Perform SQL-based data queries and reconciliations, process dealer inquiries and payments, prepare ad-hoc financial reports, analyze vendor data and resolve discrepancies, and support cross-functional teams to improve operational efficiency. On-site in Urbandale, IA.

Part-time role supporting the data science team by maintaining and enhancing Python and SQL code, performing data cleaning and analysis with pandas and sklearn, running SQL queries, debugging, creating visualizations (plotly, matplotlib, Excel), documenting procedures, assisting with ML model implementation, and communicating insights to Sales.

The Business Data Analyst will analyze data, generate insights, assess impacts, and recommend actions using data visualization and storytelling techniques. They will collaborate with stakeholders and assist in implementing changes based on data findings.

Analyze transportation and freight payment data to identify cost/schedule issues, audit third-party freight payments, own transportation reporting systems, validate processes, and recommend cost-saving operational improvements.

Analyze large-scale DNS and domain name usage datasets to surface trends and insights. Build ETL processes, specify data acquisition, ensure data quality, and produce visualizations and reports. Collaborate with cross-functional teams to support strategic recommendations and data-driven presentations.