Top Data & Analytics Jobs

The Sr. Analyst configures the o9 Planning System to optimize retail planning solutions, collaborating with stakeholders to implement and support planning processes.

In this co-op role, you'll analyze qualitative and quantitative consumer data, assist in research plans, translate insights into product recommendations, and collaborate cross-functionally to support product and marketing strategies.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

The Senior Business Systems Analyst will leverage ServiceNow for automation, aligning solutions with business needs, enhancing user experience and driving AI-assisted solutions.

As a Senior Data Scientist in Product Analytics, you will analyze data to guide product decisions, support product managers, and improve financial stability for users.

Provide accurate valuations and risk assessments for single-family homes using internal tools and pricing model outputs. Incorporate local market knowledge, collaborate with sales, homes, data science and engineering to improve pricing operations and ensure competitive, consistent offers.

Validate and review CO APCD-derived data products using SQL and visualization tools, perform output comparisons and project-level analyses, follow quality control standards, document findings, and communicate results to technical and non-technical stakeholders while supporting continuous improvement of data QA processes.

Join Agentio's foundational data team to analyze behavior, model outcomes, run experiments, and build data and ML tooling to shape product decisions and improve measurement.

Lead commercial analytics to diagnose sell-through, pricing, promotions, assortment, and retailer execution. Build causal and incrementality measurement, design test-and-learn, support elasticity and margin analyses, and deliver executive-ready insights and frameworks to optimize revenue, margin, and promotional efficiency across channels and retailers.

Own the analytics foundation for Fieldguide Insights: design the semantic layer, define canonical tables/metrics, migrate report logic into governed dbt models, harden pipelines with monitoring and alerts, ensure data quality, and partner across product, engineering, and customers to enable reliable BI and emerging LLM/MCP analytics.