Business Intelligence Analyst

Job Type:

Regular

Work Location:

Market - AMRET - DC - Washington DC 16

Overview:

Job Description:

• Work in partnership with the Director of Analytics to build new dashboards and reports while optimizing existing reports
• Manage regular data refreshes of client dashboards and reports
• Work with internal and external leaders to identify opportunities for improvement of key business metrics and overall program performance
• Collaborate cross-functionally with program managers, Information Services (IS) team members, and client data providers to collect, clean, and analyze data
• Establish KPIs to benchmark existing program performance and measure the effectiveness of new business decisions
• Structure large data sets, create data visualizations, and extrapolate information that can be converted into actionable client recommendations
• Strategically think though data flow, form a plan of action to troubleshoot any issues, and iterate on the plan as needed
• Create client facing reports and presentations suggesting new strategies that will improve overall program performance

Performance Measurements:

• Completion of projects within set timeline expectations
• Accurate and consistent delivery of technical data

Qualifications:

• Required
  • Bachelor's degree in relevant programs; business, analytics, economics, etc.
  • Minimum of 3 years' experience gathering and analyzing data
  • Proficiency in Excel, Power BI (or similar BI tool), Power Query, and PowerPoint
  • Analytically minded with excellent problem-solving skills
  • Knowledge of data query, cleaning, and transformation
  • Ability to interpret, visualize, and deliver clear and concise recommendations to key stake holders
  • Attention to detail
  • Strong written and verbal communication skills
  • Team player mentality
  • Self-starter with a commitment to continuous learning and improvement
  • Ability to adapt to a client-driven work environment

• Preferred
  • Understanding of and experience with GIS/mapping technology
  • Coding skills in SQL, Python, and/or R
  • Proficient in statistical analysis platforms
  • Technical writing skills

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