Senior Analytics Engineer - Business Intelligence
Torcrobotics · Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX, Remote - US
About this role
**Senior Analytics Engineer - Business Intelligence** **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 • Design, build, and maintain ETL/ELT pipelines that feed those models • Partner with data producers and business stakeholders to translate reporting needs into durable data models • Define, instrument, and maintain business KPIs using SQL and Python • Build and enforce data quality checks, validation processes, and documentation • Create and maintain actionable 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 data access paths • Mentor team members across data engineering, data analysis, 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 work • Evaluate and implement AI/LLM-powered BI capabilities **What You'll Need to Succeed** • Bachelor's degree in Computer Science, Data Engineering, or related field with 6+ years of experience (or Master's with 3+ years) • 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 ETL/ELT pipelines in production • Experience with BI tools (Tableau, Power BI, Looker, QuickSight, or similar) • Track record of mentoring or leading other engineers or analysts • Comfort working with ambiguous, evolving requirements • Strong communication and documentation skills • Experience in agile environments • Practical experience using AI-assisted coding tools **Bonus Points** • Experience with modern cloud data platforms (Databricks, Snowflake) • AWS experience (Athena, Glue, or similar) • Knowledge of relational, NoSQL, vector, and data warehouse/lakehouse architectures • Experience with dbt or similar transformation frameworks • Experience scaling data for ML/AI workloads • Experience with semantic/metrics layers or AI-powered BI querying • Background in automotive, AV, robotics, or safety-critical data environments **Location** Ann Arbor, MI (remote candidates across the US considered) **Compensation** $160,800 – $193,000 USD
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