Oshkosh Corporation's Enterprise Analytics & AI team is looking to transform business challenges into data-driven solutions to improve operational efficiency, profitability, and decision-making by analyzing large, complex datasets, streamlining reporting, and delivering actionable recommendations.
Requirements
- Experience with cloud data environments such as Microsoft Azure, Databricks, AWS, or Google Cloud Platform.
- Working knowledge of data engineering concepts, data modeling, and visualization best practices.
- Demonstrated ability to convert raw data into actionable insights that improve business outcomes (e.g., efficiency gains, cost savings, customer experience).
- Utilize SQL and Python to perform data wrangling, cleansing, and transformation for reporting and analytical purposes.
- Develop and maintain Power BI dashboards, recurring KPI reports, and automated analytics tools that drive visibility into key business metrics.
- Partner with Data Engineers to create, test, and refine data views in Databricks that support recurring reporting and ad-hoc requests.
- Support Data Scientists on projects involving predictive and prescriptive analytics, helping bridge data preparation with advanced modeling.
Responsibilities
- Collect, prepare, and analyze data from diverse internal sources including JDE, MES, Kronos, and the Azure Data Lake to generate business insights.
- Utilize SQL and Python to perform data wrangling, cleansing, and transformation for reporting and analytical purposes.
- Develop and maintain Power BI dashboards, recurring KPI reports, and automated analytics tools that drive visibility into key business metrics.
- Collaborate with business stakeholders to translate operational challenges into technical problems and deliver clear, actionable insights.
- Partner with Data Engineers to create, test, and refine data views in Databricks that support recurring reporting and ad-hoc requests.
- Support Data Scientists on projects involving predictive and prescriptive analytics, helping bridge data preparation with advanced modeling.
- Engage with cross-functional teams to understand business needs, ensure data integrity, and identify opportunities for process automation and data-driven improvement.
Other
- Bachelor’s degree in Computer Science, Information Systems, or equivalent.
- Three (3) or more years of experience in Data Analysis, Information Technology, or a related area.
- Strong analytical, written, and verbal communication skills, with the ability to translate technical data into business insights.
- Ability to travel up to 25%.
- Strong understanding of business processes and operations within manufacturing, supply chain, or related industries.
