Data Analytics Engineer (SQL, Python, Databricks)

Josh Pros LLC; Eden Prairie (MN); On-site; USD 90,000 - 130,000; Full time

Job summary

Josh Pros LLC is seeking an experienced data analytics contractor to own end-to-end analytics for complex problems in a fast-moving environment in Eden Prairie, MN. You will translate business needs into structured analyses, KPIs, and actionable insights, designing scalable queries and dashboards for self-service decision support.

You will collaborate with product, engineering, and business stakeholders, ensure data quality and governance, and mentor junior analysts while staying current with

Qualifications

• Must have: SQL.
• Must have: Python.
• Must have: Big Data.
• Must have: Databricks.
• Good to have: Snowflake.
• Good to have: Machine Learning (ML).
• Strong data modelling for high-performance analytics and reporting at scale.
• Experience building dashboards and data products for self-service and decision support.
• Strong data storytelling and cross-functional collaboration skills.

Responsibilities

• Own end-to-end analytics, translating ambiguous business needs into structured analyses, KPIs, and actionable insights.
• Design and develop scalable data queries and transformations using SQL, Python, and Databricks on large, distributed datasets.
• Build and optimise data models to support high-performance analytics and reporting at scale.
• Develop executive-ready dashboards and data products that enable self-service and decision support.
• Collaborate cross-functionally to drive decisions through data storytelling.
• Ensure data quality, governance, and analytics best practices while mentoring junior analysts and elevating team standards.

Skills

SQL

Python

Big Data

Databricks

Tools

Snowflake

Machine Learning (ML)

Job description

Own end-to-end analytics for complex problem spaces, translating ambiguous business needs into structured analyses, KPIs, and actionable insights. You will design scalable data queries and transformations on large, distributed datasets, build data products and executive-ready dashboards, and drive decisions through data storytelling with product, engineering, and business stakeholders. Additional work includes new Capital Data Engineering projects.

Roles & Responsibilities

• Own end-to-end analytics, translating ambiguous business needs into structured analyses, KPIs, and actionable insights.
• Design and develop scalable data queries and transformations using SQL, Python, and Databricks on large, distributed datasets.
• Build and optimise data models to support high-performance analytics and reporting at scale.
• Develop executive-ready dashboards and data products that enable self-service and decision support.
• Collaborate cross-functionally to drive decisions through data storytelling.
• Ensure data quality, governance, and analytics best practices while mentoring junior analysts and elevating team standards.

Requirements

• Must have: SQL
• Must have: Python
• Must have: Big Data
• Must have: Databricks
• Good to have: Snowflake
• Good to have: Machine Learning (ML)
• Strong data modelling for high-performance analytics and reporting at scale
• Experience building dashboards and data products for self-service and decision support
• Strong data storytelling and cross-functional collaboration skills
• Mandatory for all contractors: maintain 90%+ weekly usage of enterprise-approved AI tools such as GitHub Copilot and Microsoft 365 Copilot
• Apply AI tools to enhance coding
• documentation
• data analysis
• and decision-making workflows
• Stay current with evolving AI capabilities to improve delivery quality and velocity