Provides strategic data reporting and analysis for a large utility client overseeing a state-wide electric vehicle incentive program.
Leads Behavioral and Decision Sciences contribution to strategic business reviews of assigned accounts.
Strategically utilizes business intelligence knowledge and thorough understanding of core solutions offerings.
Develops and updates analytics dashboards of assigned accounts on an ongoing basis.
Emphasizes data storytelling, visualizing data into applicable insights and intuitive dashboards for client presentations and ongoing reference.
Incorporates client-facing skills with strategic presentation skills to establish a credible relationship with clients and prospects.
Acts as a subject matter expert, presenting analytic services and insights to clients in both pre-sale and post-sale situations.
Presents findings and recommendations to clients and associated partners in face-to-face meetings for client programs, emphasizing data-driven strategic insights to drive business performance.
Conducts analyses to measure the effect of programs, campaigns, or other efforts.
Develops scope for ad-hoc analyses, executing as appropriate and converting ad-hoc analyses to standard offerings.
Consults other analytical resources to complete assigned client deliverables, and supports senior team members in their analyses.
Visualizes and communicates findings in a clear, understandable manner to non-technical audiences.
Requirements
Bachelor's degree or equivalent experience in Statistics, Economics, Engineering, applied math, physics, computer science, operations research, or other quantitative program required.
Minimum of 2+ years of experience in serving clients in a business or marketing environment.
Excellent organizational and project management skills with the ability to handle multiple projects simultaneously.
Experience with analytics dashboard tools such as Power BI and Google Data Studio.
Experience with relational database systems and knowledge of SQL required.
Willingness to learn programming languages such as Python or R is expected.
Demonstrated ability to present complex models and ideas to decision makers using oral, written, and presentation skills.
Experience with behavioral science and/or behavioral economics a plus.
Experience with AI agents and code development a plus.