O

Oshkosh

Designs and manufactures purpose-built vehicles

Data Analyst Senior

Data AnalysisConfirmed live in the last 24 hours
Full-timeFrederick, MD, USA$82.9k - $134.3k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, or equivalent is required.
  • Five or more years of experience in Data Analysis, Information Technology, or a related area is required.
  • Proficiency with web-based software applications, including Power BI, Microsoft Word, Excel, PowerPoint, and SharePoint, is required.
  • Ability to travel 20% is required.
  • Experience in data analysis and analytics is required.
  • Ability to influence and tell stories with data is required.
  • Attention to detail, problem-solving, and decision-making skills are required.
  • Advanced analytical, written, and verbal communication skills are required.

Responsibilities

  • Identify, collect, process, and analyze datasets to support informed business decisions.
  • Discover, acquire, explore, prepare, assess, and maintain datasets from varied sources, including external sources, for analyses and ad hoc investigations concerning projects and products across multiple related functions or business units.
  • Perform data analysis assignments, projects, visualization tasks, data quality improvements, and data-incident troubleshooting, including resolving root causes.
  • Apply SQL and statistical techniques to data acquisition, enrichment, and analysis as a subject-matter expert.
  • Resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.
  • Review and approve data views, designs, and documentation produced by other team members to ensure governance standards and appropriate technical components and techniques are used.
  • Serve as a subject-matter expert in the processes, people, products, data, and systems of related business functions across business units or unrelated functions within related business units.
  • Pursue and define business problems and opportunities.
  • Propose and define relevant dimensions and measures.
  • Collaborate with Data Engineers to draft and test data views that meet business needs for projects and products.
  • Collaborate with Data Scientists to identify opportunities to incorporate predictive and prescriptive analytics, machine learning, and artificial intelligence into projects and products.
  • Facilitate conversations to confirm problems and opportunities.
  • Propose and align goals, roles, and sustainment plans with leaders.
  • Coach leaders on projects and programs.
  • Collaborate with cross-functional teams, including scientists, data engineers, business operations support, and consultants, on data needs and business requirements for solutions of medium complexity.
  • Use technical writing and verbal communication skills to drive change management, including training and communications plans, and ongoing management of data solutions.
  • Represent the function, business unit, or Digital Technology in Analytics Communities of Practice as a subject-matter expert.
  • Coach and teach business citizen analysts to build views and analyze, interpret, and communicate data insights.

About the Company

Oshkosh

Designs and manufactures purpose-built vehicles

Oshkosh Corporation designs and manufactures purpose-built vehicles and equipment for specialized markets, including defense, fire and emergency services, access equipment, refuse collection, concrete placement, and aviation ground support. It sells its high-value, durable vehicles directly to government agencies, municipalities, and private sector clients. The company differentiates itself through ongoing product development, a strong focus on quality, and community programs like the Youth Apprentice. Its goal is to provide reliable, efficient, purpose-built solutions that meet the evolving needs of essential operations.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Oshkosh, WI
Founded
1917

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