Senior Product Analyst – GCP & Product Analytics

Job Description

Be at the forefront of product intelligence and user behavior analysis as a Senior Product Analyst for the Digital Cabin team. This role is perfect for an investigative, hands-on analyst who thrives on turning raw data into actionable insights that directly influence product strategy. You will dive into Google Cloud Platform (BigQuery) to uncover patterns in user behavior, drive retention, optimize engagement, and bridge the gap between central analytics and product teams . If you enjoy solving complex data puzzles, defining metrics, and enabling data-driven decision-making , this is your opportunity to make an immediate impact.

Key Responsibilities

• Partner with stakeholders to design analytics solutions that inform critical business decisions
• Own the design, implementation, and maintenance of metrics, reports, analyses, and end-user tools
• Conduct deep-dive analysis to identify root causes of business and product challenges
• Use advanced SQL (BigQuery), Python, R, and other data analysis tools to wrangle raw data into actionable insights
• Build and maintain analytical sandboxes for product teams, structuring data for immediate business use
• Monitor product and user behavior data, generating proactive hypotheses and challenging vanity metrics
• Translate business concepts into precise logic and documentation for adoption by central analytics teams
• Collaborate with Data Engineering, Data Science, and Data Management teams to improve data completeness, usability, and performance
• Use advanced visualization tools (Qlik, Dash Enterprise, Tableau, PowerBI) to communicate insights effectively

Required Qualifications

• Bachelor’s degree in relevant field (Business, Data Analytics, Computer Science, Engineering)
• 5+ years of product analytics experience, analyzing user behavior (retention, churn, engagement, MAU/DAU)
• Expert-level SQL, including Window functions, nested data, joins; experience structuring datasets in BigQuery
• Ability to act as a bridge between product and engineering teams, independently structuring and analyzing raw data
• Investigative mindset, comfortable navigating ambiguity and solving complex data puzzles
• Strong communication skills and experience influencing stakeholders through data insights

Preferred Qualifications

• Master’s degree in relevant field
• Experience with dbt (Data Build Tool) or similar
• Familiarity with event-based analytics platforms such as Amplitude
• Background in subscription models or SaaS products
• Experience in Cohort Analysis, Retention Curves, Funnel Optimization
• Proficiency in advanced data visualization tools (Qlik, Tableau, PowerBI)

Work Model

• Hybrid (mix of remote and on-site work)
• Manager is open to fully remote, but prefers near-Dearborn candidates 3 days/week on-site

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

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