Top Data & Analytics Jobs

Perform data analyses, develop reports and dashboards, ensure data quality, and provide recommendations to support business operations. Design data collection methods, maintain databases, produce statistical and ad hoc analyses, and support management decision-making. May supervise student workers.

The role involves developing BI solutions, managing data processing pipelines, providing application support, and ensuring data governance and compliance.

Support Business Enablement & Insights by building dashboards, analyzing portfolio and partner performance, diagnosing drivers across growth and insurance (retention, underwriting, claims), partnering with stakeholders and data engineering to improve data quality, and delivering executive-ready insights, forecasts, and recommendations to drive profitable growth and operational efficiency.

Produce and distribute reports and statistical analyses, ensure data integrity, extract and compile data for trend analysis, present findings to management/clients, provide training/coaching, and support performance and quality initiatives.

Support the Business Intelligence team by extracting, analyzing, and modeling data from multiple sources. Build reports and dashboards, assist with data quality, and help convert legacy reports to the BI solution. May support data mining, statistical analysis, and predictive modeling under supervision.

Lead the elicitation, documentation, and governance of business and data requirements for cloud-based data products. Drive source-to-target mappings, collaborate with engineers and architects, support testing and UAT, produce Agile artifacts, contribute to metadata ingestion, and ensure audit-ready, compliant reporting and analytics for the CMM program.

Lead design, development, and administration of enterprise Power BI solutions and Azure-based data pipelines. Build semantic models, dashboards, KPIs, and advanced analytics (forecasting, segmentation, predictive models). Optimize T-SQL, DAX, and ETL/ELT processes, enforce data governance and RLS, mentor teams, and partner with executives and stakeholders to translate business goals into scalable BI solutions.

Support investigative and litigation projects end-to-end by collecting, transforming, modeling, and visualizing diverse data types. Develop repeatable ETL and database processes, produce deliverables, communicate with attorneys and investigators, and occasionally serve as primary case contact. Assist senior staff, onboard data, and load data into analytical tools while ensuring data quality and documenting work.

Support the Data Lab on e-discovery and investigative analytics projects: collect, load, validate, model, and analyze diverse data sources; communicate with attorneys and case teams; document methods; maintain project workflows; occasionally lead small analytics efforts and mentor other analysts.

Co-lead the design and development of enterprise data services and analytics products. Define requirements and use cases, support data modeling, analyze datasets with SQL, assess data-model changes, create validation scenarios, and apply data governance practices. Collaborate with cross-functional stakeholders, communicate technical concepts clearly, and recommend solutions for integrated enterprise data and reporting initiatives.

Partner with national security clients to gather requirements, streamline operations, and resolve data issues. Use SQL, Tableau/Power BI, PowerApps, and CRM tools to analyze data, enforce quality, produce reports, and guide non-technical users. Coordinate across teams to improve processes, document standards, and translate leadership questions into actionable analytical approaches to inform business decisions.

The Senior Data Analyst gathers BI requirements, analyzes enterprise and offline datasets, writes and optimizes SQL queries, and builds dashboards using Power BI, Tableau, and Domo. The role translates business needs into technical specifications, designs dashboard wireframes, validates data, documents processes, and collaborates with engineering, product, and business teams. Knowledge of the US trust business is essential for interpreting data within financial and regulatory contexts.

Provide insights and recommendations to improve end-to-end purchase customer journeys across web and app for B2C and B2B. Lead A/B testing and experimentation, ensure accurate data collection and impact measurement, build self-service reporting and visualizations, query and process data, and present findings to stakeholders and senior leadership.

Support analytical projects across Gartner's BTI and Product teams: analyze large datasets, build dashboards and reports, apply ML/AI and LLM tools, assist data pipeline setup, collaborate with data engineering and IT, and communicate insights to stakeholders. High-performing interns may receive full-time offers.

Analyze complex business problems using SQL, Python, statistical techniques, predictive models, and data visualization. Build dashboards, data pipelines, and analytical reports; monitor KPIs; assess and improve data quality; perform exploratory analysis and A/B testing; identify trends and root causes; and provide recommendations to stakeholders. Collaborate on product backlog prioritization, data governance, and data platform migration while mentoring junior associates.

Analyze digital product and subscriber behavior across Dow Jones brands, measuring engagement, retention, feature adoption, and subscription outcomes. The role defines KPIs, supports A/B testing, builds dashboards, validates tracking, conducts deep-dive analyses, and translates findings into actionable recommendations for Product, Engineering, and Design stakeholders.

Entry-level Data Analyst responsible for building and maintaining Power BI reports, connecting to enterprise data sources (including Databricks), preparing and validating data, addressing data quality issues, gathering stakeholder requirements, and documenting/reporting processes while supporting senior analysts.

Support pricing and promotional optimization by building econometric and statistical models, implementing pricing algorithms, running price tests, analyzing sales and customer data, automating pricing processes with Python/SQL, and communicating insights to stakeholders to drive revenue and profitability.

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

Analyze and reconcile asset and licensing data from multiple sources to support software sales and enterprise agreements. Produce MACD reports, identify data discrepancies, recommend clean-up actions, audit service contract exports, and deliver customer-facing insights to improve install base accuracy and prepare for license true-forwards.

Entry-level Data Analyst supporting Performance & Analytics for care operations. Build, validate, and QA recurring reports and dashboards (Retool/BI tools), pull and clean payer, clinical, and operational data, investigate discrepancies, maintain workflows and reporting-ready datasets, and support ad-hoc analytical priorities.

Analyzes player and game data using statistical methods, predictive modeling, machine learning, simulations, and experimentation. Builds scalable data views and ETL processes with SparkSQL and Python, performs ad hoc analysis in R, Python, Excel, and SQL, and creates Tableau and Excel reports. Identifies player behavior patterns, evaluates feature performance, improves data workflows, develops models to improve game performance, and communicates insights to executives and cross-functional stakeholders.

Administers flight scheduling and training management systems, maintains permissions and configurations, analyzes operational data, and develops reports and dashboards. Supports scheduling operations, system integrity, documentation, user training, specialized projects, and data-driven decision-making. Works with flight department leaders, instructors, scheduling staff, students, and other university personnel while managing multiple priorities and ensuring accurate, confidential information.

Part-time BI & Data Analyst II builds and documents AWS ETL pipelines, writes performant SQL, creates and curates Power BI datasets/reports, monitors data quality, supports analysts, and manages analytics projects end-to-end.

As a Data Analyst, you'll drive data insights for product development at Grow Therapy, supporting reporting and experimentation projects.