Data Analyst Sr
About The Position
As a member of JLG’s Data Analyst team, the Senior Data Analyst identifies, collects, processes, and analyzes datasets to support informed business decisions. The role supports projects and products across multiple related functions or business units through data analysis, visualization, data quality improvements, and troubleshooting data incidents. The analyst serves as a subject matter expert in SQL, statistical techniques, and the processes, people, products, data, and systems of related business functions. In collaboration with data engineers, data scientists, business operations support, consultants, and other cross-functional teams, the role helps define business problems and opportunities, develop data views, and identify opportunities for predictive and prescriptive analytics, machine learning, and artificial intelligence. The position also supports governance, change management, and ongoing management of data solutions; coaches leaders and business citizen analysts; and contributes to Analytics Communities of Practice. Ability to travel 20% is required. The stated U.S. pay range is $82,900 to $134,300.
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 use storytelling.
- 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 a variety of sources, including external sources, to support analyses and ad-hoc investigative requests.
- Perform data analysis assignments, projects, visualization tasks, and data quality improvements, and troubleshoot data incidents, including resolving root causes.
- Serve as a subject matter expert in applying SQL and statistical techniques to data acquisition, enrichment, and analysis.
- Resolve and document solutions for 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 and business units.
- Pursue and define business problems and opportunities, and propose relevant dimensions and measures.
- Collaborate with data engineers to draft and test data views that meet business needs.
- Collaborate with data scientists to identify opportunities for predictive and prescriptive analytics, machine learning, and artificial intelligence.
- Facilitate conversations to confirm problems and opportunities, and propose and align goals, roles, and sustainment plans with leaders.
- Coach leaders on projects and programs.
- Collaborate with cross-functional teams on data needs and business requirements for solutions of medium complexity.
- Use technical writing and verbal communication to drive change management, including training and communications plans, and ongoing management of data solutions.
- Participate as a subject matter expert in Function, Business Unit, and Digital Technology Analytics Communities of Practice.
- Coach and teach business citizen analysts to build views and analyze, interpret, and communicate data insights.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
