Data Analyst

About the role

Where Human Connection Fuels Possibility At Maritz , decades of innovation and perseverance have built more than just a strong reputation - they've shaped a culture where human connection and collaboration are at the heart of everything we do. Joining Maritz means becoming part of a workplace grounded in a critical truth; people and their potential is our greatest resource. Maritz helps companies achieve their business goals by inspiring people to perform their best. We design experiences, incentives, and recognition programs that spark action and deliver measurable impact. And we've brought this human-first design inward - intentionally building teams that care for each other and collaborate powerfully. In our most recent employee survey, nearly 90% of respondents said that their managers care about their concerns and 82% said they feel genuinely appreciated. We know that when employees feel seen, supported, and celebrated for who they are, they thrive and so does our business. That's why we've created a flexible, environment that empowers you to do your best work without sacrificing what matters most to you. In fact, in that same survey, nearly 90% of respondents said they have the flexibility they need to balance work and personal life and nearly 80% said Maritz does a great job prioritizing employee well being. We have a passion for excellence and genuine care for the people making it possible. The Data Analyst provides strategic data reporting and analysis for a large utility client overseeing a state-wide electric vehicle incentive program. Key role objectives are to help identify opportunities for improvement across various program aspects, including, retailer enrollment/engagement, claims processing, public awareness marketing, and program equity distribution. What You'll Be Doing 60% Dashboards and Data Visualization : Dashboards and Data Visualization: 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. 20% Client Engagement: Client Engagement: Incorporates client-facing skills with strategic presentation skills to establish a credible relationship with clients and prospects. Serve as day-to-day client contact for analytics questions, requests, and thought leadership. 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, while following quality control processes as established by the Performance Analytics Leadership. 20% Analysis Projects: 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. Identifies appropriate data sources (internal, client, 3rd party) and gathers data in an efficient and timely manner. Contributes to account team conversations to support crafting of strategic recommendations to client. Visualizes and communicates findings in a clear, understandable manner to non-technical audiences. What You'll Bring Bachelor's degree or equivalent experience in Statistics, Economics, Engineering, applied math, physics, computer science, operations research, or other quantitative program required. Additional degrees with relevant work experience will also be considered. 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. Nice to Have Master's or similar advanced degree a plus. Experience with employee engagement, recognition, incentives, customer retention, and/or loyalty data a strong plus. Experience with email campaign and web analytics a strong plus. Experience with Google Cloud Services and BigQuery preferred. Experience with behaviora

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