Top Data & Analytics Jobs

Lead HR-focused data management, governance, analytics, and visualization efforts for a public diplomacy office. Consolidate and clean HR datasets, define data requirements and governance, develop interactive dashboards (Tableau/Power BI), provide insights to leadership, advise on data policies, and build data literacy across stakeholders.

The Data Analyst II at Brex enhances tracking and reporting capabilities across teams, delivering insights through analyses and visualizations, while collaborating with Data Scientists and Engineers.

As a Data Analyst II, you'll enhance reporting capabilities and collaborate on data insights across teams, utilizing visualization tools and Python for automation.

The HRIS Data Analyst will analyze workforce data to identify trends, build dashboards and reports, normalize data sets, and support surveys across agencies while ensuring clear communication of findings.

Lead data analysis efforts across source systems: document assets and processes, perform exploratory analysis and data profiling, define mapping and global transformation rules, validate data quality and integrity, identify issues, support SDLC and developers, provide ad-hoc decision support, and present insights to senior stakeholders to enable data-driven decisions.

Work within an agile team to manage data assets, perform data quality and profiling, reverse-engineer data models, develop ETL routines, collect metadata, and present findings with recommendations to stakeholders.

Partner with stakeholders to define reporting needs; design, build, and maintain Power BI dashboards; analyze and model data in Snowflake using SQL; validate business logic and testing; document report logic and promote design consistency; train stakeholders and contribute to reporting governance and analytics best practices.

Lead customer analytics to inform acquisition, retention, and reactivation. Build segments, maintain BI dashboards, track marketing KPIs and A/B tests, and partner with cross-functional teams to translate insights into marketing and product strategies.

Designs and implements automated ETL pipelines and reproducible workflows. Performs complex statistical analyses and machine learning, cleans and merges observational/medical data, builds dashboards and reports, defines data standards, and collaborates with IT to scale analytics infrastructure and automate analyses for decision-making.

Lead analytics projects by building automated ETL pipelines, performing complex statistical and machine-learning analyses, and producing dashboards and reports. Collaborate with IT/data engineering to scale analytics, enforce data standards, and validate integrated datasets. Work focuses on health-related data and reproducible, performance‑optimized workflows for large datasets.

Design, build, and maintain workforce data models and pipelines from HCM/payroll and other systems to produce governed, analytics-ready datasets, dashboards, and automated reporting using Microsoft technologies. Ensure data quality, lineage, security, and collaborate with HR, IT, Finance on integrations, HCM implementations, and analytics expansion.

Lead product analytics for usage, activation, adoption, retention, and expansion. Define metrics, improve instrumentation, build reusable measurement frameworks, apply AI-first analytics workflows, design experiments and observational analyses, create monitoring/alerting, surface insights to influence product decisions, and mentor analysts.

Provide onsite data and records management support for a federal program: maintain datasets and SharePoint records, track applications and field visits, prepare reports and meeting summaries, perform quality assurance and NARA-compliant records management, and support program tracking, document development, and administrative tasks.

Own portfolio monitoring and forecasting across card and loan products. Build executive dashboards and forecasting frameworks, perform RCA and remediation, support loss forecasting and provisioning, and collaborate with Risk, Finance, Capital Management, Engineering, and Accounting to inform strategy and lender negotiations.

Troubleshoot escalated data issues, resolve data discrepancies, monitor ETL jobs, perform data engineering and development support, automate operational tasks and data quality checks, build tabular models and reports (PowerBI/Excel), document knowledge base, and support production issues including off-hours.

Collect, analyze, and interpret internal and external data to identify trends and strategic opportunities. Build dashboards and visualizations, monitor KPIs, partner with advisors and leadership to translate business questions into analytical solutions, and support strategic planning with forecasting, modeling, and scenario analysis.

Develop and enhance dashboards and reports, perform forecasting and trend analysis, reconcile source-to-reporting data, partner with stakeholders to translate business questions into analytic solutions, support EDW development and data governance, and present data-backed recommendations to improve business processes.

Analyze product, customer, and commercial data to define and document core metrics, build and maintain dashboards, design and analyze experiments, investigate data quality, and present clear insights to product, sales, and business stakeholders to inform decisions.

Lead analytics projects and forecasting using Power BI, SQL, Python and DAX. Develop data models, resolve data quality issues, produce dashboards and management reporting, mentor junior analysts, collaborate with finance and stakeholders to deliver actionable insights, and drive continuous improvement and automation to support strategic decision-making.

Design, build, and maintain Power BI dashboards and automated reports; apply SQL, Power Query, DAX, Excel, and AI tools to extract, transform, validate, and present data. Support forecasts, management reporting, long-range planning, and ad hoc financial analysis. Improve data quality, governance, and documentation; reconcile datasets with Yardi and the general ledger; convert manual reports to automated, scalable solutions.

Analyze gameplay telemetry, player feedback, and research findings to identify trends and friction points. Build dashboards and reports, partner with analytics and development teams to ensure telemetry quality, translate complex data into actionable insights, and collaborate with User Research to connect quantitative and qualitative findings to inform design and production decisions.

Lead data analysis efforts by building and maintaining dashboards, performing SQL queries and data quality checks, analyzing program data to inform recommendations, gathering user requirements, managing projects and UAT, training users, and providing technical support for reporting tools.

Monitor and optimize programmatic advertising campaigns using real-time and historical data. Diagnose performance issues, design and evaluate A/B and multivariate tests, collaborate with AdOps, Product, and Data Science to operationalize ML-driven optimization, and help evolve manual campaign management into automated decisioning systems to improve revenue and campaign performance.

Support performance management by collecting, validating, and analyzing data; develop KPIs, dashboards, reports, and forecasts; identify trends and data-quality issues; provide actionable recommendations and executive-level briefings to improve program performance and reporting.

The PIM Data Analyst manages product data quality within the PIM system, handling data requests, ensuring data integrity, and improving processes.