Senior Analytics Engineer

Responsibilities

Kforce has a client that is seeking a Senior Analytics Engineer for a 3-6 Month contract to hire opportunity in Chicago, IL. This role is hybrid or 100% remote. Summary: The Senior Analytics Engineer is responsible for building and maintaining the core data workflows that support demand planning, supply pacing, and business performance tracking. This role translates complex business processes into structured, production-ready data systems that teams rely on daily. The Role: This is a senior individual contributor role with end-to-end ownership of analytics systems. The role owns ingestion, transformation, and visualization of critical datasets across Databricks and Tableau, supporting core business functions including Supply Chain, Finance, and Commercial operations. Duties:

• Own end-to-end ingestion of the client's demand plan into Databricks and Tableau
• Maintain and improve demand cascade logic from customer-level to retailer-level
• Manage unit conversions and product mappings across finished goods, cases, pallets, and materials
• Ensure demand data is accurate, timely, and consumable by downstream supply chain tools
• Design, build, and maintain data pipelines in Databricks using Python and SQL
• Manage ingestion from multiple sources including retailer APIs, ERP systems (NetSuite), and Azure Blob Storage file drops
• Own data table design, transformations, and performance optimization at scale millions records per/day
• Improve reliability, documentation, and resilience of data pipelines
• Ensure dashboards are accurate, performant, well-documented, and trusted as a source of truth

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• Design clean, well-modeled datasets to support self-service analytics
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Requirements

• 6+ years of experience in analytics engineering, data analytics, or BI roles
• Strong hands-on experience with SQL, DBT, Python, and Tableau
• Experience working with cloud data platforms, with Databricks strongly preferred
• Proven ability to own end-to-end analytics systems from ingestion through executive dashboards
• Experience supporting CPG, retail, supply chain, or manufacturing analytics
• Experience working with imperfect data and evolving business processes
• Experience with Azure and GCP, including Blob Storage, Data Factory, or BigQuery

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• Experience with POS data, retailer APIs, and ERP systems such as NetSuite
• Familiarity with MRP, demand planning, or inventory management concepts
• Experience operating at scale with high-volume datasets
  
  

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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