---
title: 'Senior Analytics Engineer - Business Intelligence at Torc Robotics'
canonical: 'https://feeny.ai/job/senior-analytics-engineer-business-intelligence-torc-robotics-ann-arbor-mi-6e80d6zgnn0g'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Analytics Engineer - Business Intelligence at Torc Robotics

- **Company:** Torc Robotics
- **Location:** Ann Arbor MI Blacksburg VA Fort Worth, TX / United States
- **Compensation:** $161k–$193k
- **Work type:** remote
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/torcrobotics/jobs/8756346002

## Job description

## About the Role

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 — structuring tables, views, and semantic layers so metrics are defined once and used consistently across all dashboards and tools.
- Design, build, and maintain ETL/ELT pipelines that feed those models, ensuring 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, rather than one-off dashboard logic.
- Define, instrument, and maintain business KPIs from scratch using SQL and Python, and ensure definitions stay consistent across teams and dashboards.
- Build and enforce data quality checks, validation processes, and documentation so stakeholders can trust the numbers behind leadership- and board-level reporting.
- Create and maintain actionable, user-friendly dashboards and visualizations (Tableau, Power BI, or similar) to provide valuable insight.
- Support and help evolve leadership-critical reporting deliverables, ensuring governed, well-documented data models rather than ad hoc queries.
- Help evolve the team’s data platform and architecture (e.g., improving legacy pipelines), balancing pragmatism with long-term maintainability.
- Work with IT and data partners to design secure, sustainable, and scalable paths for data access from source systems into BI-ready models.
- Mentor team members across data engineering, data analysis, data validation, and BI reporting — through code and model reviews, pairing, documentation, and by setting reusable standards and best practices.
- Cultivate data literacy across the organization through documentation, training, and clear communication of how and why data is modeled the way it is.
- Answer complex business questions via ad hoc SQL or Python analysis when a question does not yet warrant a permanent model or dashboard.
- Leverage AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT/Claude) to accelerate SQL, Python, and documentation work, applying sound engineering judgment to review, validate, and take ownership of any AI-generated output before it reaches production.
- Evaluate and, where it adds value, implement AI/LLM-powered BI capabilities — such as natural-language querying, semantic layers, and AI-generated summaries or anomaly alerts — to keep our reporting stack modern and to help the team work more efficiently.

## What You’ll Need to Succeed

- 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 — building governed, reusable data models that serve multiple downstream dashboards and reporting tools consistently.
- Strong SQL skills and proficiency in Python (pandas, PySpark, or similar) for pipeline development, transformation, and analysis.
- Hands-on experience building and maintaining source-of-truth ETL/ELT pipelines, including data quality checks and validation processes, in production environments.
- Experience with one or more BI tools (Tableau, Power BI, Looker, QuickSight, or similar), including enough hands-on dashboard-building experience to speak the language of BI analysts and evaluate their work.
- A track record of mentoring or leading other engineers or analysts — through reviews, pairing, documentation, or setting team standards.
- Comfort working with ambiguous, evolving requirements, and the ability to partner directly with stakeholders across the business to turn loosely defined problems into well-structured data models.
- Strong communication skills and the ability to document and explain technical decisions to both technical and non-technical audiences.
- Experience working in an agile environment and balancing multiple concurrent priorities.
- Practical experience using AI-assisted coding and productivity tools (e.g., Copilot, Cursor, ChatGPT/Claude) to improve development speed, paired with the judgment to critically review and validate AI-assisted output.

Bonus Points

- Experience with modern cloud data platforms (Databricks, Snowflake, or similar), particularly for serving data, visualizations, and jobs.
- 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, or building analogous version-controlled, tested data modeling practices.
- Experience scaling data for ML/AI workloads.
- Experience designing semantic/metrics layers or data models that support AI-powered or natural-language BI querying, and familiarity with applying LLMs to tasks like data quality checks, anomaly detection, or documentation generation.
- 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

## About Torc Robotics

## Company Overview
- **One-liner**: Torc Robotics is an independent subsidiary of Daimler Truck developing SAE Level 4 autonomous driving software for long-haul, hub-to-hub freight trucks.
- **Entity Type**: Private (subsidiary of Daimler Truck)
- **Headquarters**: Blacksburg, Virginia, USA (additional offices in Fort Worth, TX; Ann Arbor, MI; Montréal, Canada)
- **Founded**: 2005 (as Torc Technologies)
- **Founders**: Group of Virginia Tech alumni (team from the DARPA Urban Challenge)

## Core Business
- **Primary industry**: Autonomous vehicle technology / Trucking & freight logistics
- **Target customers**: B2B – large fleet operators and trucking companies (middle-mile hub-to-hub routes over 250 miles)
- **Mission or purpose statement**: “Drive the future of freight” by commercializing safe, self-driving trucks

## Products & Services
- **Torc Self-Driving Software**: Full-stack autonomy system (perception, planning, control) for SAE Level 4 operation, integrated into the Daimler Truck Freightliner Cascadia platform.
- **Autonomous-Ready Cascadia**: A redundant chassis with fail-safe steering, braking, power net, and secondary communications network built by Daimler Truck.
- **Testing & Validation**: Closed-course and public-road testing in Virginia, Texas, New Mexico, and 20+ U.S. states over the past 14 years.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed (private subsidiary of Daimler Truck)
- **Key Metric**: Commercial launch targeted for **2027**; first driverless (no safety driver) journey completed in **2025**. Acquired Algolux (Montréal) in 2023 for computer vision and ML expertise.
- **Notable Investors/Partners**: Daimler Truck (parent/owner), AAA (safety partnership), Transdev (shuttle partnership), Virginia Tech Transportation Institute, and major fleet operators.
- **Growth Signals**: Expanding into Canada (Montréal office); headcount growing with 54 open positions posted on Greenhouse; Daimler Truck is building production-ready autonomous Cascadia chassis; years of real-world testing.

## Competitive Advantages
- **Deep truck OEM relationship**: As an independent subsidiary of Daimler Truck, Torc has direct integration into the leading Class 8 truck platform (Freightliner Cascadia).
- **20-year legacy**: Founded in 2005 from DARPA Urban Challenge roots; one of the first AV software companies to focus exclusively on trucking.
- **Safety-first design**: Redundant steering, braking, and communications, plus a partnership with AAA on safety criteria.
- **Focused product**: Targets only highway middle-mile (250+ miles), avoiding complex city driving – a clear, commercially viable use case.

## Strategic Focus
- **Commercialization**: First market-ready generation of self-driving trucks on sale in **2027**. Currently validating the system on public roads with safety drivers.
- **Scaling operations**: Expanding engineering centers (Montréal, Ann Arbor, Fort Worth) and building a robust data/ML pipeline at petabyte scale.
- **Talent development**: Growing “Emerging Talent” program (co-ops, internships, early career) and partnerships with educational institutions.

## Why Work Here
- **Culture**: Described as collaborative, ego-free, and innovative. “Everyone is empowered to solve challenges.” Open forums and accessible leadership.
- **Remote/Hybrid**: Multiple remote positions available (U.S. and Canada), plus on-site roles in Blacksburg, Ann Arbor, Fort Worth, and Montréal.
- **Benefits (U.S.)**:
  - 100% company-paid employee premiums for medical, dental, vision
  - Generous front-loaded PTO, plus a winter shutdown (Christmas–New Year)
  - Fully paid parental leave (100% salary continuation)
  - 401(k) with company match, LTD/STD, life insurance, pet insurance, legal services
- **Benefits (Canada)**: Extended health/dental/vision, RRSP with DPSP matching, employer-paid life/AD&D, LTD.
- **Engineering culture**: Work on cutting-edge autonomy, perception, ML, and data infrastructure alongside world-class experts.

## Sources
1. [torc.ai/about-us](https://torc.ai/about-us/)
2. [torc.ai/careers](https://torc.ai/careers/)
3. [torc.ai/frequently-asked-questions](https://torc.ai/frequently-asked-questions/)
4. [job-boards.greenhouse.io/torcrobotics](https://job-boards.greenhouse.io/torcrobotics)

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