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Senior BI Analyst

Job in Ann Arbor, Washtenaw County, Michigan, 48113, USA
Listing for: Torc Robotics
Full Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, the first AV software company with the vision to partner directly with a truck manufacturer.

Senior Business Operations Analyst – Technology Operations Team

We are looking for a Senior Business Operations Analyst to join the Technology Operations team to expand its BI data analytics and financial reporting capabilities. This person will partner with all other business functions to bring visibility and reporting to help our Technology organization stay informed and make better decisions. You will leverage your interest in finance, technical skills, and passion for data analytics and automation to enhance storytelling about production ramp and cost reductions for leadership.

What

You’ll Do

The Senior Business Operations Analyst must be able to translate business value goals into user‑centered dashboards and visualizations and underlying data models that support decision‑making while using best practices for user interaction and interface design. They must be comfortable starting with ill‑defined datasets and problems and helping stakeholders unpack what will be most helpful and achievable given the data available. They use statistical methods to test hypotheses and provide predictive modeling to uncover insights and assess data reliability for strategic planning and reporting.

They work with data sets of various kinds and sizes in databases, spreadsheets, and data lakes, and must have strong SQL skills and be able to work in one or multiple BI frameworks depending on need (Power BI, Tableau, Looker, etc.). They must be comfortable working in an agile environment, have experience working with UIs that make data accessible and consumable, enjoy the challenge of highly complex technical contexts, and above all, be passionate about data and analytics.

Position

Responsibilities
  • Develop and implement novel solutions to monitor and improve business performance and efficiency, starting from gathering requirements from stakeholders to partnering with data producing teams and other analysts to build and operationalize functional systems.
  • Define, instrument, and maintain new and existing business KPIs from scratch, leveraging SQL queries and Python scripting.
  • Build automation to ensure we can understand and act on business performance with accurate, scalable, and low latency solutions that require minimal maintenance.
  • Create actionable, user‑friendly, and intuitive dashboards using Tableau or other tools to surface business performance and support scalable data‑driven decision making.
  • Ensure transparency of data quality by clearly documenting data sources and data validation processes and regularly auditing the results.
  • Work with IT staff to design and implement secure and sustainable paths for data access from systems to support timely dashboards.
  • Use out‑of‑the‑box thinking to develop and implement solutions to unique challenges.
  • Create documentation and provide training to inform stakeholders and cultivate data literacy within the organization.
  • Answer complex business questions via ad‑hoc SQL queries or Python notebooks to enable business owners to make critical decisions.
Qualifications
  • Bachelor’s degree in Data Analysis, Statistics, Information Technology, or Computer Science.
  • 5+ years of experience in business analytics.
  • 5+ years of experience working with databases.
  • 5+ years of experience working with large‑scale data systems and analytics.
  • 5+ years of experience with database design, data modeling, or object modeling.
  • 5+ years of experience in Business Intelligence/data analytics tools (Microsoft Power BI, Dashboards, SQL, Tableau, etc.).
  • Analytical thinking with a data‑driven approach to problem solving and the ability to extract…
Position Requirements
10+ Years work experience
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