Top Data & Analytics Jobs

Designs, develops, tests, deploys, and supports batch and streaming data pipelines using Azure and Databricks. Builds ETL/ELT processes, optimizes data workflows, supports cloud modernization, and performs monitoring, troubleshooting, and root cause analysis. Collaborates with business and technical teams on requirements, data governance, lineage, and audits. Mentors junior engineers and communicates solutions to technical and non-technical stakeholders.

Support enterprise data governance by curating metadata, managing business glossary terms, performing advanced data profiling/analysis, identifying anomalies, documenting issues, maintaining governance artifacts, and facilitating workshops to improve data quality and literacy.

Develop and maintain Palantir Foundry data pipelines, transformations, analytical workflows, dashboards, and user-facing applications. Analyze and validate data from multiple sources, translate stakeholder requirements into solutions, troubleshoot issues, and support data modeling, testing, documentation, and deployment. Apply Python, SQL, JavaScript or TypeScript, ETL/ELT, cloud, low-code, and UX/UI practices while collaborating with technical teams and government clients.

Administer and maintain the Raiser's Edge NXT fundraising database; process data requests, queries, exports, imports, and constituent updates. Maintain data quality, coding structures, communication preferences, documentation, and integrations. Generate routine and ad hoc reports, prepare campaign data files, identify discrepancies, and support fundraising operations while meeting deadlines and maintaining accuracy.

Design and implement end-to-end AI features, scalable data pipelines, ETL/ELT workflows, Generative AI and agentic systems, ML and BI solutions, and MLOps/LLMOps practices across AWS, Azure, and GCP. Apply RAG, embeddings, vector databases, security governance, evaluation, reliability, and guardrails. Own technical workstreams, mentor junior engineers, and promote software engineering best practices in consulting environments.

Designs and maintains Power BI dashboards and reports for sales decision-making. Extracts, integrates, cleans, and analyzes data from multiple market and category management sources. Conducts line reviews and category performance analyses, identifies trends and growth opportunities, and delivers data-driven recommendations. Develops customized dashboards, reporting materials, and PDF documentation to support sales teams, product evaluations, and customer presentations.

Collects, cleans, analyzes, and validates manufacturing data from Plex, ERP, MES, sensor, inventory, and logistics systems. Builds predictive, operational, financial, reporting, and forecasting models; develops dashboards and automated reports tracking KPIs such as yield, OEE, scrap, inventory, and shipments. Performs root cause and variance analysis, supports process improvement and budgeting decisions, maintains data pipelines, ensures inventory and COGS accuracy, and trains manufacturing personnel on data practices and dashboards.

Leads analytics delivery across multiple clients, combining marketing data to evaluate performance, optimize investments, and inform growth decisions. Designs and implements advanced measurement approaches including attribution, incrementality testing, experimentation, and full-funnel measurement. Develops measurement frameworks, communicates insights to clients and senior stakeholders, partners with technical and marketing teams, supports new business, and mentors junior analysts.

Build analytical frameworks, measurement methodologies, and decision support to drive enterprise decisions across marketing, loyalty, pricing, menu, media, and operations. Mine and integrate customer, transaction, digital, and operational data; develop segmentation, predictive models, and dashboards; lead test-and-learn, incrementality, and forecasting efforts; translate analysis into clear business recommendations and scalable decisioning tools.

Collect, clean, transform, analyze, and maintain fund and CRM data related to venture and growth equity. Ensure data quality, manage databases and taxonomies, conduct statistical analysis, create dashboards and reports, and track market and competitive activity. Partner with attorneys and cross-functional teams to deliver insights supporting fund practice decisions and business development.