Product Analysts

Regal Theatres • Knoxville, TN

1d

About The Position

We are looking for a curious, analytical, and detail-oriented Product Analyst to join our team. In this role, you will work closely with product managers, designers, engineers, and business stakeholders to uncover insights that inform product decisions, improve user experiences, and drive business growth. You will be responsible for analyzing user behavior, measuring product performance, and supporting experimentation efforts to help shape the future of our products.

Requirements

• Experience: 2–5 years of experience in product analytics, business intelligence, or a related field.
• Education: Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Technical Skills: Proficiency in SQL and experience with data analysis tools (e.g., Python, R).
• Familiarity with data visualization platforms (e.g., Tableau, Looker).
• Analytical Thinking: Strong problem-solving skills and the ability to interpret complex data sets to drive actionable insights.
• Communication: Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical audiences.
• Product Mindset: Understanding of product development processes and a passion for improving user experiences through data.

Nice To Haves

• Experience working with customer loyalty platforms or analyzing loyalty program data is a strong plus.

Responsibilities

• Data Analysis: Analyze user behavior and product usage data to identify trends, patterns, and opportunities for improvement.
• Product Metrics: Define, track, and report on key product metrics and KPIs to evaluate product performance and user engagement.
• Experimentation: Support the design, execution, and analysis of A/B tests and other experiments to validate product changes.
• Insight Generation: Translate data into actionable insights and recommendations that influence product strategy and roadmap.
• Collaboration: Work cross-functionally with product, engineering, design, and marketing teams to support data-driven decision-making.
• Reporting & Visualization: Build dashboards and reports using tools like Tableau, Looker, or similar to communicate findings effectively.
• Data Quality: Partner with data engineering to ensure data accuracy, integrity, and availability for analysis.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level