Top Data & Analytics Jobs

Analyze complex business problems and translate them into data-driven solutions. Develop Tableau and Power BI dashboards, perform exploratory and statistical analysis, manage data quality and governance, integrate data from multiple databases and cloud platforms, and support migrations to GCP and Hadoop. Build data pipelines and models using Python, Scala, Spark, Kafka, SQL, and PL/SQL. Communicate insights to stakeholders, provide recommendations, and mentor junior associates.

Collects, transforms, analyzes, and reports operational data using Power BI, SQL, APIs, and business systems. Builds dashboards, data models, automated pipelines, KPIs, and integrations; administers Monday.com and supports its transition to internal solutions. Supports ERP implementation, process mapping, Lean/Six Sigma improvement, data quality, audits, and leadership decision-making. Protects CUI, ITAR, and proprietary data in compliance with defense requirements, trains users, documents analytics solutions, and travels to company sites as needed.

Support government program data collection and analysis by developing automated reports, dashboards, and forecast models. Perform statistical analysis and visualization (Tableau, R/Python/SAS, SQL), build data products, update collection tools, train staff, and present findings to leadership to inform program assessments.

Supports logistics and readiness data analysis for AMCOM programs. Extracts, cleans, analyzes, and reports on large datasets; develops dashboards and analytical products; troubleshoots information system requirements; supports data integration, testing, validation, and implementation. Uses Excel, Power BI, SharePoint, PowerPoint, and reporting platforms to identify trends, anomalies, and operational risks, while communicating findings to technical and non-technical stakeholders.

Analyze complex datasets, build data models, create automated Looker visualizations, and deliver actionable insights for business decisions. The role partners with IT, engineering, product, and business stakeholders to improve data pipelines and processes, applies statistical and machine learning techniques, and mentors junior analysts. The position requires strong SQL, data visualization, programming, cloud-platform, communication, and data storytelling skills.

Design, build, and maintain data solutions for Retail Bank. Mine varied data sources, develop BI dashboards and metrics, drive analysis for business insights, and enforce data quality, lineage, and governance working with tech teams and Snowflake/AWS platforms.

Supports enterprise applications, ERP administration, reporting, dashboards, business intelligence, SQL development, data validation, integrations, and institutional reporting. Troubleshoots system and data issues, assists end users, supports upgrades and testing, and collaborates with campus departments to deliver technology and analytics solutions while protecting institutional data.

Collects, cleans, validates, and analyzes operational data; builds dashboards and visualizations in Power BI and Tableau; develops Power Apps and Power Automate workflows; automates manual processes; identifies trends and data-quality issues; translates business needs into analytical and workflow requirements; tests, documents, and maintains solutions; and communicates findings to stakeholders in a client-facing consulting environment.

Analyzes structured and unstructured data to generate insights supporting national security clients and business decisions. Responsibilities include data validation and cleaning, KPI development, data visualization, dashboard and presentation creation, translating technical findings for varied audiences, and advising stakeholders on data-driven actions. Requires Excel, visualization tools, strong communication, and TS/SCI clearance with polygraph. Python or SQL knowledge is preferred.

Supports database maintenance, data validation, report preparation, basic SQL and Excel analysis, data quality checks, data integration, dashboards, visualizations, and institutional research projects. Documents processes and collaborates with analysts on reporting and special initiatives. This is a part-time student internship requiring enrollment in an undergraduate degree program and a minimum 2.0 GPA.

Analyzes and transforms data, writes SQL queries, develops BI dashboards and reports, validates data quality, and communicates insights to stakeholders. The role supports KPI definition, trend analysis, documentation, and client meetings while gaining experience with cloud data platforms, ETL concepts, visualization, and AI-enabled analytics.

Early-career Data Analyst supporting Finance BI by collecting, cleaning, and analyzing datasets; building dashboards and recurring reports; conducting statistical modeling; identifying trends; and presenting insights to nontechnical stakeholders. The role collaborates cross-functionally to support business decisions and requires SQL, Python, spreadsheet proficiency, and strong communication skills.

Entry-level rotational training program for data analysts supporting advanced aerospace manufacturing. Participants complete three six-month assignments across Howmet Engines facilities, building analytics tools, analyzing manufacturing data, creating standardized data systems, and delivering actionable recommendations. The role requires collaboration with engineering leaders, production operators, and cross-functional teams, with the goal of transitioning into a permanent full-time position after the program.

Analyzes and validates compensation survey data, reviews anomalies and outliers, supports client job matching and survey participation, interprets data, and responds to client inquiries. The role also involves preparing client presentations, leading discussions about results, maintaining data integrity, communicating findings, and recommending process improvements. Occasional travel may be required for client meetings in the United States or Canada.

Leads enterprise compliance testing analytics, tooling strategy, and analytical projects. Partners with engineering, data science, legal, compliance, risk, and executive stakeholders to identify and mitigate compliance risks. Evaluates analytical tools, researches emerging practices, communicates findings through reports and presentations, and mentors junior staff. The role requires advanced data analysis, statistical or econometric modeling, large-scale data manipulation, data governance, and people management experience.

Analyzes large datasets to identify revenue trends, variances, and pricing opportunities. Builds data models, validates data quality, applies data mining techniques, and creates reports and presentations for stakeholders and senior management. Collaborates with analysts, business partners, and IT to deliver actionable revenue management insights and support pricing strategies.

Collects, validates, organizes, and analyzes operational manufacturing data to identify trends, discrepancies, downtime, and scrap. Produces recurring and ad-hoc reports and develops Microsoft Power BI dashboards to support process improvements and management decision-making. Maintains data collection protocols, closes maintenance and tool room work orders, supports process documentation, and collaborates with operations, maintenance, and other departments to improve data accuracy and efficiency.

Analyzes high-volume business data to support data-driven decisions and organizational efficiency. Develops dashboards, reports, visualizations, statistical models, and analytical tools; integrates data from multiple sources; writes queries; validates data integrity; identifies trends and root causes; and provides insights for process improvement. Collaborates with stakeholders and senior leadership while mentoring less experienced team members.

Analyze and validate compensation survey data, review anomalies and outliers, support client job matching and submissions, interpret survey results, answer data inquiries, create presentations, lead results discussions, and identify process improvements. The role requires collaboration with clients and internal stakeholders, strong analytical and communication skills, and proficiency in Microsoft Excel.

Analyzes large datasets, creates dashboards and visualizations, applies basic ETL processes, builds relational database tables, develops GIS outputs, interprets metrics, and presents client-focused data insights in accessible language. Collaborates with operations, technical, digital, and engineering teams to deliver analytics project outputs on schedule.

Analyze B2B commercial data to identify growth opportunities, design experiments, evaluate pricing and credit-limit initiatives, and measure business impact. Apply SQL, Python, statistical analysis, A/B testing, difference-in-differences, causal inference, and forecasting methods. Work independently with commercial and project teams to support pricing, market expansion, and partner analytics decisions.

Analyzes and models enterprise data for Guidewire ClaimCenter and PolicyCenter implementations. Performs source-to-target mapping, data cleaning, transformation, profiling, validation, SQL querying, and data quality assessment. Creates logical and physical data models, entity relationship diagrams, reports, and visualizations. Supports data governance, integration, data warehousing, and analytical systems while providing recommendations to internal stakeholders.

Works with clients and internal teams to discover, acquire, extract, and migrate data from legacy systems. Uses SQL, Python, Bash, database platforms, and reporting systems to develop extraction methods and process automations across multiple client engagements. Supports requirements gathering, structured and unstructured data extraction, and high-quality customer service throughout the software development lifecycle.

Perform advanced workforce and talent analyses, build self-service BI products and dashboards, generate and present insights to Talent and Executive leadership, collaborate with Finance and Human Capital for workforce planning, and partner with teams to identify opportunities for deeper analytics and process automation.

Develops analyses, reports, dashboards, visualizations, and presentations to support university data initiatives. Responsibilities include collecting, cleaning, querying, interpreting, and presenting data; fulfilling ad hoc requests; mapping data flows and business processes; conducting gap analyses; and supporting data governance, scalability, sustainability, and integrity.