Build and maintain Sigma dashboards to visualize high-value customer program performance and key business metrics.
Develop SQL queries to extract, analyze, and manipulate large datasets, driving customer engagement insights.
Collaborate with data engineering teams to optimize pipelines and ensure data integrity and scalability.
Analyze sales operations, customer reinvestment trends, and engagement behaviors to inform prediction market program strategy.
Develop predictive models to optimize customer segmentation, routing, and personalized high-value customer journeys.
Provide data-driven recommendations to improve customer relationships, maximize engagement, and enhance the overall customer experience.
Automate reporting processes and streamline data workflows for efficiency and scalability.
Effectively communicate insights to commercial, marketing, operations, and executive leadership teams to drive strategic initiatives.

4 plus years of experience in data analytics, business intelligence, or data engineering.
Advanced SQL proficiency, with experience handling large-scale datasets and optimizing queries.
Strong expertise in Sigma (or similar platform, e.g. Tableau) for dashboard development, visualization, and performance tracking.
Understanding of data engineering best practices, pipeline optimization, and automation.
Ability to think strategically and translate data into business insights and revenue-driving recommendations.
Experience with customer loyalty programs, engagement analytics, or high-value clientele strategy is a plus.
Self-motivated, highly detail-oriented, and strong problem-solving mindset with the ability to work independently.
Excellent communication skills, with the ability to present data insights to both technical and non-technical stakeholders.

Data Analyst III

Key skills