Data Analyst Lead

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 Leadsits 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/lake houses/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 ProficienciesSQL:
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 / Big Query.

Version Control & Dev Ops:
Proficiency with Git/Git Hub, 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…