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.As a member of Oshkosh Corporation’s Enterprise Analytics &amp; AI team, you will play a key role in transforming business challenges into data-driven solutions that directly impact operational efficiency, profitability, and decision-making. This position focuses on analyzing large, complex datasets to uncover insights, streamline reporting processes, and deliver actionable recommendations that support our business units in areas such as Sales, Aftermarket, Supply Chain, Manufacturing, and Operations.You will work closely with business stakeholders and technical partners to extract, prepare, and visualize data from multiple systems and cloud environments. The ideal candidate is not only technically proficient but also passionate about telling the story behind the numbers—connecting data to meaningful business outcomes.YOUR IMPACT<ul><li>Collect, prepare, and analyze data from diverse internal sources including JDE, MES, Kronos, and the Azure Data Lake to generate business insights.</li><li>Utilize SQL and Python to perform data wrangling, cleansing, and transformation for reporting and analytical purposes.</li><li>Develop and maintain Power BI dashboards, recurring KPI reports, and automated analytics tools that drive visibility into key business metrics.</li><li>Collaborate with business stakeholders to translate operational challenges into technical problems and deliver clear, actionable insights.</li><li>Partner with Data Engineers to create, test, and refine data views in Databricks that support recurring reporting and ad-hoc requests.</li><li>Support Data Scientists on projects involving predictive and prescriptive analytics, helping bridge data preparation with advanced modeling.</li><li>Engage with cross-functional teams to understand business needs, ensure data integrity, and identify opportunities for process automation and data-driven improvement.</li><li>Conduct root cause and trend analyses to uncover the “why” behind performance outcomes and inform strategic recommendations.</li><li>Participate in Oshkosh’s Analytics Communities of Practice to share learnings, contribute to continuous improvement, and advance the use of analytics across the organization.</li><li>Maintain a mindset of curiosity and ownership—ensuring your work consistently adds recurring value and improves decision-making across the business.</li></ul><div></div>MINIMUM QUALIFICATIONS<ul><li>Bachelor’s degree in Computer Science, Information Systems, or equivalent.</li><li>Three (3) or more years of experience in Data Analysis, Information Technology, or a related area.</li><li>Experience with various web-based software applications, including Microsoft Office (Word, Excel, PowerPoint, SharePoint).</li><li>Strong analytical, written, and verbal communication skills, with the ability to translate technical data into business insights.</li><li>Ability to travel up to 25%.</li></ul><div></div>STANDOUT QUALIFICATIONS<ul><li>Experience with cloud data environments such as Microsoft Azure, Databricks, AWS, or Google Cloud Platform.</li><li>Working knowledge of data engineering concepts, data modeling, and visualization best practices.</li><li>Demonstrated ability to convert raw data into actionable insights that improve business outcomes (e.g., efficiency gains, cost savings, customer experience).</li><li>Strong understanding of business processes and operations within manufacturing, supply chain, or related industries.</li><li>Proven ability to balance multiple priorities, manage deadlines, and communicate results effectively to both technical and non-technical audiences.</li><li>Continuous learner with interest in professional development, including advanced analytics or data science coursework.</li></ul>#LI-TM1Pay Range: $63,500.00 - $101,700.00<div><div><div><div><div><div><div>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 offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.</div></div></div></div></div></div></div>Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com.Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

Moving the world forward Oshkosh is an industrial technology company of approximately 17,000 team members, that designs and manufactures some of the world&rsquo;s toughest specialty and access equipment under the brands of JLG&reg;, Hinowa, Pierce&reg;, Power Towers, MAXIMETAL, Oshkosh&reg; Defense, McNeilus&reg;, IMT&reg;, Jerr-Dan&reg;, Frontline&trade; Communications, Oshkosh&reg; Airport Products, Oshkosh&reg; AeroTech and Pratt Miller. We make a difference in people&rsquo;s lives by creating mission-critical equipment that serves the everyday hero. Our innovation is people focused and developed by sharing advances across our portfolio of companies. For us, it&rsquo;s about moving the world forward through building, serving and protecting communities. Our purpose: Make a difference in people&rsquo;s lives.

Data Analyst

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.As a member of Oshkosh Corporation’s Enterprise Analytics &amp; AI team, you will play a key role in transforming business challenges into data-driven solutions that directly impact operational efficiency, profitability, and decision-making. This position focuses on analyzing large, complex datasets to uncover insights, streamline reporting processes, and deliver actionable recommendations that support our business units in areas such as Sales, Aftermarket, Supply Chain, Manufacturing, and Operations.You will work closely with business stakeholders and technical partners to extract, prepare, and visualize data from multiple systems and cloud environments. The ideal candidate is not only technically proficient but also passionate about telling the story behind the numbers—connecting data to meaningful business outcomes.YOUR IMPACT<ul><li>Collect, prepare, and analyze data from diverse internal sources including JDE, MES, Kronos, and the Azure Data Lake to generate business insights.</li><li>Utilize SQL and Python to perform data wrangling, cleansing, and transformation for reporting and analytical purposes.</li><li>Develop and maintain Power BI dashboards, recurring KPI reports, and automated analytics tools that drive visibility into key business metrics.</li><li>Collaborate with business stakeholders to translate operational challenges into technical problems and deliver clear, actionable insights.</li><li>Partner with Data Engineers to create, test, and refine data views in Databricks that support recurring reporting and ad-hoc requests.</li><li>Support Data Scientists on projects involving predictive and prescriptive analytics, helping bridge data preparation with advanced modeling.</li><li>Engage with cross-functional teams to understand business needs, ensure data integrity, and identify opportunities for process automation and data-driven improvement.</li><li>Conduct root cause and trend analyses to uncover the “why” behind performance outcomes and inform strategic recommendations.</li><li>Participate in Oshkosh’s Analytics Communities of Practice to share learnings, contribute to continuous improvement, and advance the use of analytics across the organization.</li><li>Maintain a mindset of curiosity and ownership—ensuring your work consistently adds recurring value and improves decision-making across the business.</li></ul><div></div>MINIMUM QUALIFICATIONS<ul><li>Bachelor’s degree in Computer Science, Information Systems, or equivalent.</li><li>Three (3) or more years of experience in Data Analysis, Information Technology, or a related area.</li><li>Experience with various web-based software applications, including Microsoft Office (Word, Excel, PowerPoint, SharePoint).</li><li>Strong analytical, written, and verbal communication skills, with the ability to translate technical data into business insights.</li><li>Ability to travel up to 25%.</li></ul><div></div>STANDOUT QUALIFICATIONS<ul><li>Experience with cloud data environments such as Microsoft Azure, Databricks, AWS, or Google Cloud Platform.</li><li>Working knowledge of data engineering concepts, data modeling, and visualization best practices.</li><li>Demonstrated ability to convert raw data into actionable insights that improve business outcomes (e.g., efficiency gains, cost savings, customer experience).</li><li>Strong understanding of business processes and operations within manufacturing, supply chain, or related industries.</li><li>Proven ability to balance multiple priorities, manage deadlines, and communicate results effectively to both technical and non-technical audiences.</li><li>Continuous learner with interest in professional development, including advanced analytics or data science coursework.</li></ul>#LI-TM1Pay Range: $63,500.00 - $101,700.00<div><div><div><div><div><div><div>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 offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.</div></div></div></div></div></div></div>Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com.Oshkosh Corporation is a merit-based Equal Opportunity Employer.&nbsp;Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

Data Analyst

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About the Company

Oshkosh Corporation

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