Top Data & Analytics Jobs

Create category-centric selling stories and insights for a major CPG client by analyzing syndicated and shopper data, building client reports and presentations, advising stakeholders, and managing projects and routines to measure performance against strategic objectives.

Ensure accuracy, consistency, and integrity of Customer master data by verifying entities, overseeing automated data-matching, performing manual reviews, establishing data standards and business rules, monitoring data quality, documenting stewardship decisions, and collaborating with business, IT, and compliance to remediate issues and improve MDM workflows.

Design, develop, deploy, and maintain Power BI dashboards and visualizations. Collaborate with public health staff to elicit requirements, manage data flows, perform data cleaning, tune performance, support user management, troubleshoot issues, and follow government SDLC and Agile/DevOps practices to deliver accessible, secure BI solutions.

Design and build scalable data platform services, automation, and integrations. Improve pipeline reliability, observability, schema governance, and developer self-service. Collaborate with data engineering, analytics, and DevOps to deliver APIs, tooling, and production-grade data pipelines.

Lead design and buildout of an Operations Intelligence Warehouse (BigQuery, dbt, Metabase), define metrics and data quality standards, create dashboards for throughput and cycle time, join ops to GTM/financial data, run variance/root-cause analyses, and partner with Data Engineering and stakeholders to turn operational telemetry into actionable insights.

Own and build Snowflake-based analytics and AI-ready data products. Design and maintain dbt pipelines, semantic models, RBAC and security policies, optimize queries and warehouses, integrate data via Fivetran, create dashboards, troubleshoot production issues, document designs, enforce coding standards, and mentor junior engineers while partnering with business stakeholders.

Build and maintain centralized pricing data infrastructure, scalable workflows, and data pipelines; integrate AI capabilities; deliver pricing tools, reporting, and governance to support data-driven pricing and budgeting across the firm.

Design, build, and operate production-grade near-real-time data pipelines and APIs on AWS (Kinesis, Glue/Spark, Lambda, EMR). Implement IaC and CI/CD, optimize data lakes and operational models, improve observability and reliability, and participate in on-call support.

Provide product and commercial analytics to support GTM strategy, revenue reporting, ROI models, and packaging experiments. Build repeatable, documented BI assets and dashboards, automate commercial signals, and partner with Sales, Rev Ops, Product, and Customer Success to inform pricing, bundles, churn, and upsell decisions.

Intern will explore and clean unfamiliar datasets, write code to ingest, transform, and monitor data quality using Python, SQL, and OCaml, work with structured and unstructured data, complete two owned projects, and be mentored by full-time Data Engineers.