[Hiring] Senior Analytics Engineer @Torc Robotics

Role Description

Torc’s Business Intelligence team partners across the company to bring visibility and reporting that help leadership and every function make faster, better-informed decisions. We are looking for a senior technical leader who can own the data models and dashboards that power BI across the business — building the governed, reusable layer that sits between raw source systems and providing consistent reporting in all dashboards used by our stakeholders in different business units.

This role sits at the intersection of data engineering and business intelligence. You’ll design and build the pipelines and data models that make reporting fast, trustworthy, and consistent, while also staying close enough to the business to know what leadership actually needs to see. You’ll be a hands-on technical lead for the BI function with a focus on engineering, safety, and operational data — setting standards for data modeling, validation, and reporting, while also mentoring analysts and engineers so the whole team levels up.

What You’ll Do

• Design, build, and own the data models that serve as the single source of truth for BI reporting.
• Design, build, and maintain ETL/ELT pipelines that ensure data is accurate, timely, and reliable at scale.
• Partner with data producers and business stakeholders to translate reporting and decision-making needs into durable data models and pipelines.
• Define, instrument, and maintain business KPIs using SQL and Python.
• Build and enforce data quality checks, validation processes, and documentation.
• Create and maintain actionable, user-friendly dashboards and visualizations (Tableau, Power BI, or similar).
• Support and help evolve leadership-critical reporting deliverables.
• Help evolve the team’s data platform and architecture.
• Work with IT and data partners to design secure, sustainable, and scalable paths for data access.
• Mentor team members across data engineering, data analysis, data validation, and BI reporting.
• Cultivate data literacy across the organization.
• Answer complex business questions via ad hoc SQL or Python analysis.
• Leverage AI-assisted development tools to accelerate SQL, Python, and documentation work.
• Evaluate and implement AI/LLM-powered BI capabilities where it adds value.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Data Analysis, or a related field with 6+ years of experience OR a Master's degree with 3+ years of experience.
• Deep hands-on experience with data modeling and database/warehouse design.
• Strong SQL skills and proficiency in Python (pandas, PySpark, or similar).
• Hands-on experience building and maintaining source-of-truth ETL/ELT pipelines.
• Experience with one or more BI tools (Tableau, Power BI, Looker, QuickSight, or similar).
• A track record of mentoring or leading other engineers or analysts.
• Comfort working with ambiguous, evolving requirements.
• Strong communication skills and the ability to document and explain technical decisions.
• Experience working in an agile environment and balancing multiple concurrent priorities.
• Practical experience using AI-assisted coding and productivity tools.

Bonus Points

• Experience with modern cloud data platforms (Databricks, Snowflake, or similar).
• AWS experience, particularly Athena, Glue, or other managed data services.
• Knowledge of relational, NoSQL, vector, and data warehouse/lakehouse architectures.
• Experience with a transformation framework such as dbt.
• Experience scaling data for ML/AI workloads.
• Experience designing semantic/metrics layers or data models that support AI-powered or natural-language BI querying.
• Background in automotive, AV, robotics, or other safety-critical data environments.

Work Location

Ann Arbor, MI is the hiring hub for this role; remote candidates across the US will be considered.

Hiring Range for Job Opening

US Pay Range: $160,800 — $193,000 USD