Top Data & Analytics Jobs

Execute data mapping, extraction, validation, and QA for deal transitions. Prepare and normalize data, run quality checks, test automation outputs, document issues, maintain version-controlled mapping files, and support project managers to ensure accurate, timely handoffs.

Hands-on leader who will design and build a proprietary automation tool, own multi-system data mapping and migrations, define data standards, manage a Data Analyst, maintain a master data dictionary and integration map, QA automation output, and translate operational requirements into technical solutions to streamline deal transitions.

Support Net Revenue Management by analyzing promotions, trade investment, and product mix to drive revenue growth. Build ROI and post-promotion analyses, support tools and reporting, and deliver actionable recommendations to Customer Strategy, Sales, and Marketing teams.

Design, build, and maintain ETL/ELT pipelines and enterprise data products. Monitor data pipelines, support data modeling and semantic layers, enforce governance, and collaborate with analytics and AI teams to deliver context windows and embeddings for AI/ML workflows.

Support data modernization by building and maintaining data pipelines, monitoring data quality, validating and documenting datasets, and collaborating with engineers, analysts, and business teams. Assist with reporting solutions and gain exposure to cloud data platforms, reporting tools, and AI-related data use cases.

Build and maintain end-to-end ELT pipelines into Snowflake, design layered dbt models, implement CDC and data quality checks, monitor production pipelines, and partner with analytics/BI teams to deliver reliable, production-ready data assets and Looker support.

Design, develop, and maintain MicroStrategy reports, dashboards, and metadata. Write and optimize complex SQL for Oracle and PostgreSQL, implement data models and warehousing, integrate BI tools, troubleshoot reporting issues, and leverage GenAI and NLQ capabilities to automate reporting and improve self-service analytics.

Design and maintain enterprise revenue-cycle KPIs and dashboards, analyze multi-source RCM datasets, build predictive models, identify process improvements, support audit/compliance, lead stakeholder working groups, author executive deliverables, follow PM best practices, mentor junior analysts, and safeguard PHI/PII under DoD controls.

Transform complex project and business data into dashboards, reports, and insights for Water/Wastewater teams; lead requirements gathering, data mapping, UAT, and digital transformation initiatives to improve operational performance and project delivery.

Develop and own customer reporting for Pet Professional customers across the US, create governance and management reports, support audits (tax certificates, sales & use tax), collaborate with Sales and leadership, deliver insights to improve processes and drive accountability and continuous improvement.

Lead enterprise information architecture by defining, governing, and evolving conceptual, logical, and physical data models. Establish and socialize data modeling standards, support cloud-native data platforms (Snowflake/AWS), ensure metadata, lineage, cataloging, and governance, and collaborate with stakeholders to enable scalable data products, advanced analytics, and AI use cases.

Lead and develop a product data management team to ensure product data availability, integrity, and usability. Oversee change management, process and tool improvements, data cleanup, project prioritization, performance metrics, training, and acquisition integration activities.

Design and implement low-latency market making or liquidity-taking strategies. Build mathematical and stochastic models, analyze algorithmic convergence and boundedness, translate models into high-performance code, and collaborate with developers to deploy latency-sensitive alpha signals across multiple asset classes.