Data Analyst Sr

Oshkosh•Frederick, MD

About The Position

As a member of the Data Analyst team at JLG, an Oshkosh company, this role identifies, collects, processes, and analyzes datasets to support informed business decisions. The position supports projects and products across related functions and business units by preparing and maintaining data from varied sources, carrying out analysis and visualization work, improving data quality, and troubleshooting data incidents. The Senior Data Analyst serves as a subject matter expert in SQL, statistical techniques, and the processes, data, and systems of related business functions. The role works with data engineers, data scientists, business operations support, consultants, and leaders to define business problems and opportunities, develop data views and solutions, and explore predictive and prescriptive analytics, machine learning, and artificial intelligence applications. It also supports governance, incident and change management, communications and training, and the development of business citizen analysts.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent.
  • Five or more years of experience in data analysis, information technology, or a related area.
  • Proficiency with web-based software applications, including Power BI, Microsoft Word, Excel, PowerPoint, and SharePoint.
  • Ability to travel 20%.
  • Experience in data analysis and analytics.
  • Ability to influence and tell a story with data.
  • Attention to detail, problem-solving, and decision-making skills.
  • Advanced analytical, written, and verbal communication skills.

Responsibilities

  • Discover, acquire, explore, prepare, assess, and maintain datasets from varied sources, including external sources, for analysis and ad-hoc investigative requests.
  • Perform data analysis assignments, projects, visualization tasks, data quality improvements, and data incident troubleshooting, including root-cause resolution.
  • Apply SQL and statistical techniques to acquire, enrich, and analyze data.
  • Resolve and document solutions for incidents, changes, problems, tasks, and demands.
  • Review and approve other team members’ data views, designs, and documentation to ensure governance standards and appropriate technical approaches.
  • Serve as a subject matter expert in the processes, people, products, data, and systems of related business functions and business units.
  • Identify and define business problems and opportunities, relevant dimensions and measures, and goals, roles, and sustainment plans with leaders.
  • Collaborate with data engineers to draft and test data views for business needs.
  • Collaborate with data scientists to identify opportunities for predictive and prescriptive analytics, machine learning, and artificial intelligence.
  • Facilitate conversations to confirm business problems and opportunities and coach leaders on projects and programs.
  • Work with cross-functional teams to address data needs for business requirements and solutions.
  • Use technical writing and verbal communication to support 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.
  • Coach and teach business citizen analysts to build views and analyze, interpret, and communicate data insights.
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