Top Data & Analytics Jobs

Develops business cases, financial and operational models, data models, executive decision packages, portfolio dashboards, and benefit-validation reporting for cross-functional transformation initiatives. Extracts and analyzes enterprise data using SQL, Python, spreadsheets, and visualization platforms; automates repeatable workflows; standardizes metrics; tracks value realization; and partners with Finance, IT, data engineering, and business leaders to support decisions and embed sustainable reporting processes.

Senior Business Analyst partnering with Finance, HR, and engineering stakeholders on data warehouse and Microsoft Fabric initiatives. Responsibilities include requirements gathering, source-to-target mapping, documentation, data quality and migration validation, Power BI monitoring, governance and security requirements, UAT leadership, defect tracking, and stakeholder sign-off. The role handles sensitive HR and Finance data and translates business needs into technical specifications and production-ready data products.

Leads advanced data analytics, statistical modeling, predictive analytics, and business intelligence for supply chain and logistics operations. Analyzes complex datasets, develops forecasting and optimization models, creates Tableau or Power BI dashboards, monitors KPIs, and translates findings into recommendations for government stakeholders. Provides technical leadership, quality oversight, and mentorship to junior analysts.

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.

Analyze client platform data to identify trends, forecast needs, and support mission objectives. Define analytical requirements, ensure data quality and governance compliance, create reports, dashboards, and performance metrics, and integrate data from multiple sources. Validate and document data, collaborate with technical teams to improve systems, develop reusable analytical components, evaluate analytics tools, and train users on analytics capabilities.

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.

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.

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.

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.

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.

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.

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.