Top Data Analyst Jobs

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.

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.

The Data Analyst will work on data analysis, visualization, clean data processing, and support data-driven decisions at NSWC Corona.

Collects, processes, analyzes, and presents information from disparate data sources; develops actionable insights and recommendations; maintains data integrity and metrics reporting; evaluates technical and engineering changes; and supports aircraft systems, documentation, scheduling, and maintenance operations. The role requires collaboration across technical data sources and may involve flexible shifts, on-call support, weekends, holidays, and extended hours.

Serve as liaison between Risk Management and IT to design data architecture, perform data modeling, QA/UAT, translate business needs into technical requirements, and deliver analytics and process automation recommendations to improve risk information systems.

Own end-to-end analytics across marketing, revenue, product, and partnerships. Build reliable data models and semantic layers in a lakehouse, maintain dashboards and monitoring, investigate anomalies, conduct experimentation, and translate complex analyses into recommendations for senior stakeholders. The role requires advanced SQL, Python, data modeling, stakeholder communication, autonomy, and mentoring, with responsibility for improving data quality and building analytical standards in a high-growth startup.

Lead and support actuarial data projects: investigate and extract data, validate reports, address data quality, modify SQL/SAS/4GL programs, produce tabular/graphical outputs, communicate results, coach team members, and participate in project leadership and data-system decisions.

Manage, clean, and analyze program datasets to support the TARS program. Produce dashboards and reports (Excel, Power BI, Tableau), ensure data quality and governance, develop SOPs, support audits and ad hoc requests, and collaborate with stakeholders to inform decision-making.

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.

The Data Analyst will oversee database administration, design logical data models, ensure data accuracy, and collaborate with development teams on enterprise applications.

The role involves gathering requirements for a web application, writing detailed specifications, and coordinating with project leads and teams to ensure adherence to IT standards.

The Data Analyst will document data requirements, assist with master data management, perform data profiling, and support data governance.

The job requires a Data Analyst with 6-7 years of experience, specifically 2 years in R programming, to perform data analysis using R.

Lead the evaluation of internal controls using CAATs, support audit processes, analyze data with ACL, and provide recommendations to enhance business processes.

The Data Analyst role involves using Microsoft Office applications for reporting, collaborating on tasks with global teams, and ensuring attention to detail.

Act as a liaison between business stakeholders and development teams on Agile projects, ensuring requirements are effectively communicated and met. Analyze data structures to align business needs with data requirements, and assist in project testing.

The Data Analyst will execute data profiling, data quality testing, and reporting, develop data quality standards, and work across teams to ensure data quality compliance.

The Data Analyst develops data requirements, performs data analysis, writes SQL/SAS code, and enhances data management processes while supporting various data tools.

Gather reporting requirements and develop data feed specifications. Analyze data quality issues and define ETL mapping specifications for incoming data feeds.

The Data Analyst will analyze data to identify anomalies, recommend solutions, communicate insights, and develop reports while managing multiple deadlines.