Business Intelligence, Sr Analyst

We are seeking a Sr. Business Intelligence Analyst to join our Workforce Strategy & Analytics team and help shape the future of workforce management across Manheim. This role acts as a technical and strategic expert, leveraging advanced BI tools, AI-driven analytics, and predictive modeling to deliver actionable insights that optimize labor planning and productivity.

The Sr. Analyst will ingest and transform complex workforce data, design and validate key performance metrics, and ensure data integrity across multiple sources. They will build and refine planning models, develop dynamic dashboards, and create compelling visualizations that inform enterprise-level decisions. In addition, this role will collaborate closely with cross-functional stakeholders to translate analytical findings into strategies that drive efficiency and adaptability in a rapidly evolving industry landscape.

What You'll Do

* Develop Forecasting and Labor Models

Build and maintain predictive and optimization models to improve forecasting accuracy and support workforce planning.

* Drive Improved Operational Outcomes with AI and Advanced Analytics

Explore and implement AI-driven techniques for predictive insights, anomaly detection, and process automation to drive greater labor efficiency.

* Data Preparation and Transformation

Ingest, clean, and transform data from multiple sources to ensure accuracy and usability for analysis.

* Build Metrics and Monitor Data Quality

Define, validate, and maintain key performance indicators while ensuring data integrity and governance.

* Visualization and Reporting

Design dashboards and reports using tools like Power BI or Tableau to communicate insights effectively and enable data-driven decisions that reduce overtime costs.

* Scenario Modeling and What-If Analysis

Create models to simulate workforce scenarios and assess the impact of strategic decisions on fulfillment rates for temporary workers and cost control.

* Collaborate with Stakeholders

Partner with HR, Finance, and Operations teams to translate business needs into analytical solutions that optimize staffing and control labor spend.

How you'll Do It

• Leverage Advanced BI Tools and AI Frameworks: Utilize modern BI platforms, AI-driven analytics, and machine learning techniques to automate data synthesis, improve predictive accuracy, and uncover actionable insights.
• Apply Robust Data Governance and Quality Standards: Ensure integrity, compliance, and consistency across all datasets and reporting processes, aligning with enterprise governance protocols.
• Collaborate Cross-Functionally: Work closely with Marketing, Finance, and Technology teams to integrate diverse data sources, align methodologies, and deliver insights tailored to strategic objectives.
• Employ Agile and Scalable Methodologies: Use iterative development, rapid prototyping, and scalable data models to adapt quickly to evolving business needs and project complexities.
• Communicate Insights Effectively: Translate complex analytical outputs into clear, compelling narratives and visualizations for senior leadership, enabling informed and timely decision-making.

What We're Looking For

• Bachelor's degree in a related discipline (i.e. Computer Science, Industrial Engineering, Business Analytics, or similar field of study., etc.) and 4 years experience in a related field (e.g. reporting, statistics, data modeling, data analytics, data visualization, data interpretation). The right candidate could also have a different combination, such as a master's degree and 2 years experience; a Ph.D. and up to 1 year of experience; or 8 years experience in a related field.
• Strong analytical skills supported by 5+ years of experience in workforce management, operations support, industrial engineering, or adjacent roles.
• An outgoing analyst who can operate autonomously in a low-structure environment and thrive in ambiguity.
• Ability to build and leverage relationships with internal customers and boundary partners to drive collaboration and outcomes.
• Ability to write code in SQL, Python, or other programming languages to query and manipulate data in internal and external databases.
• Experience utilizing ETL tools such as Alteryx or Informatica and visualization tools such as Tableau or Power BI.
• Familiarity with AI-enabled tools and Large Language Models (LLMs) to enhance forecasting, automate reporting, and generate insights.
• Ability to experiment with AI-driven techniques (e.g., predictive modeling, anomaly detection etc.) and integrate them into workforce analytics workflows.
• Understanding of prompt engineering and model fine-tuning for leveraging generative AI in analytics and decision support.
• Comfort with emerging technologies and willingness to continuously learn and apply advanced analytics and AI capabilities to improve forecasting accuracy, labor efficiency, fulfillment rates, and cost control.

Preferred Qualifications

• Prior experience in a workforce or capacity management analytical role or familiarity with related concepts.
• Prior experience in automotive industry or production environment.
• Experience developing scenario models.

Experience operating in a Six Sigma or Lean operations environment.

USD 87,200.00 - 130,800.00 per year

Compensation:

Compensation includes a base salary of $87,200.00 - $130,800.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Benefits:

The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

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