Data Analyst Lead

oshkoshcorporation; Oshkosh (WI); On-site; USD 103,000 - 178,000; Full time

Job summary

Oshkosh Corporation in Wisconsin seeks a Data Analyst Lead to unify data across enterprise, supply chain, and manufacturing. You will build scalable pipelines, model data warehouses, and drive analytics maturity with governance and performance tuning.

Lead analytics engineering, collaborate with stakeholders, and design robust dashboards with Power BI while mentoring analysts and ensuring production-grade data products.

Qualifications

• Bachelor's or master's degree in computer science, information systems, business analytics, mathematics, engineering, or related discipline.
• 7+ years of experience in data analytics, BI, or data engineering.
• 2+ years of demonstrated leadership experience, including leading technical projects or mentoring analysts.

Responsibilities

• Architect, build, and maintain scalable data pipelines and dimensional models using cloud data warehouses and dbt.
• Lead analytics engineering practices, CI/CD, and code reviews; standardize metrics and governance.
• Partner with stakeholders to translate business questions into robust data models and dashboards.
• Collaborate with data scientists and BI developers to deliver performant Power BI dashboards.

Skills

Advanced SQL

Cloud data platforms

Power BI

Python scripting

dbt modeling

Dimensional modeling

Git / DevOps

Education

Bachelors or Masters in CS / IS / Analytics / Math / Engineering

Tools

Databricks

Azure Synapse

BigQuery

Job description

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.

SUMMARY

The Data Analyst Lead sits at the intersection of business intelligence, data engineering, and domain analytics. This role is responsible for elevating our analytics maturity by extracting measurable business value from data-transforming complex enterprise, supply chain, and manufacturing data into high-impact, decision-ready analytical assets that directly drive operational efficiency, cost reduction, and top-line growth. You will partner closely with business stakeholders across the enterprise to turn strategic business questions into scalable, high-value data products.

YOUR IMPACT

Data Modeling

• Architect, build, and maintain scalable, performant data transformation pipelines and dimensional models using cloud data warehouses/lakehouses/dbt.
• Implement software engineering best practices within analytics: Git version control, modular SQL, code reviews, regression testing, and CI/CD deployment.
• Standardize business definitions and curate the enterprise semantic layer to ensure consistent metric reporting across all business units.
• Optimize analytical query performance, warehouse resource consumption, and end-user access patterns.

Strategic Leadership & Team Enablement

• Lead modern analytics engineering practices, advanced SQL techniques, and data modeling frameworks.
• Act as the technical liaison between upstream Data Engineering teams (responsible for raw data ingestion and infrastructure) and downstream business stakeholders.
• Establish data documentation standards, lineage tracking across projects.

Stakeholder Collaboration & Product Delivery

• Partner directly with business unit leaders (e.g., Supply Chain, Manufacturing Operations, Lifecycle services) to understand operational reporting requirements and translate them into robust data models.
• Partner with data scientists and BI developers to design intuitive, high-performance dashboards, self-service datasets, and reporting frameworks in tools like Power BI.
• Enforce data governance, role-based access controls (RBAC), and compliance policies across reporting datasets.

QUALIFICATIONS

Education & Experience

• Bachelor's or master's degree in computer science, Information Systems, Business Analytics, Mathematics, Engineering, or a related discipline.
• 7+ years of experience in data analytics, business intelligence, or data engineering.
• 2+ years of demonstrated leadership experience, including leading technical projects, mentoring analysts, or serving as a team lead.

Technical Proficiencies

• SQL: Advanced mastery of complex SQL (window functions, performance tuning, query profiling, dynamic modeling).
• Cloud Platforms & Warehousing: Hands-on experience with modern cloud data platforms such as Databricks, or Azure Synapse / BigQuery.
• Version Control & DevOps: Proficiency with Git/GitHub, CI/CD pipelines, and command-line interfaces (CLI).
• Business Intelligence: Advanced data visualization and data modeling experience with Power BI etc.
• Modern Transformation & Modeling: Expertise with dbt and Kimball dimensional modeling techniques (Star/Snowflake schemas etc).
• Scripting: Working proficiency in Python for lightweight data scripting, API ingestion, or automation.

Core Competencies

• Proven ability to translate ambiguous business requirements into robust, production-grade analytical data models.
• Exceptional communication and storytelling skills, with the ability to convey technical architectures to business executives and business context to engineers.
• Strong product mindset and empathy for end-user analytics workflows.
• Experience within manufacturing, industrial IoT, supply chain environments.

WHY OSHKOSH?

Moving the future forward is our priority and this includes your future. We encourage professional development and champion our employees' success through various skills and training opportunities. Named one of the World's Most Ethical Companies™ by Ethisphere Institute for six consecutive years, everything we do at Oshkosh is guided by our core values and the 15k+ team members around the world who embody them.

We put people first. We do the right thing. We persevere. We are better together.

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Pay Range:

$103,300.00 - $177,700.00

The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond of