Digital Products Analytics Manager

About the Role

Key Responsibilities

• Own the analytics strategy to evaluate digital product performance, customer engagement, and feature effectiveness across all product areas.
• Develop analytics roadmaps in alignment with product and corporate priorities.
• Advise product leadership and senior stakeholders using strategic insights derived from performance data and experimentation outcomes.
• Synthesize quantitative findings into strategic insights that guide product enhancements and revenue-generating opportunities.
• Establish, maintain, and standardize key performance indicators (KPIs) across product lines to support consistent data-driven decision-making.
• Guide the implementation of product analytics platforms and champion analytics tooling, data visualization standards, and statistical validation methods.
• Lead and support product experimentation, including A/B testing, and report on performance, customer engagement, and statistical outcomes.
• Serve as the key analytics partner to Digital Product, UX/CX, and Engineering leaders to ensure data-driven decision-making across the product lifecycle.
• Represent the analytics function in governance, planning, and cross-functional working groups.
• Collaborate with Data Engineering and Development teams to design and support scalable, reliable data pipelines and infrastructure.
• Engage with Product Owners to identify relevant data elements, maintain KPI visibility, and drive prioritization based on insights.
• Lead, coach, and develop a team of digital product analysts, setting clear goals, overseeing workload distribution, and conducting regular performance assessments.
• Build team capabilities through skills development, knowledge sharing, and adoption of best practices in product analytics.
• Foster a culture of analytical rigor, continuous learning, and cross-functional collaboration to elevate analytics maturity across teams.
• Ensure the integrity and scalability of analytics data through strong data governance, tooling selection, and collaboration with data engineering.
• Establish and maintain measurement frameworks and dashboards to provide visibility to business leaders and stakeholders.
• Continuously evaluate and improve analytics operations, including tooling, data quality, and delivery timelines.
• Perform exploratory and statistical analysis to uncover actionable insights.
• Create intuitive, impactful data visualizations and dashboards to enable self-service access to real-time metrics.
• Support reporting needs for stakeholders including sprint performance, product engagement, and strategic KPI tracking.

Requirements

• Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.
• 7+ years of experience in product analytics, digital data analysis, or business intelligence roles.
• 3+ years of experience in leading teams or mentoring junior analysts in a digital product environment.
• Proven experience translating analytics into executive-level product and business recommendations.
• Experience using analytics to support product lifecycle stages-ideation, launch, improvement, and sunsetting.
• Familiarity with digital tracking frameworks, event-based analytics, and tools like Google Analytics, Amplitude, or Mixpanel preferred.
• Proficient in SQL and data transformation using tools such as dbt, Python, or R.
• Expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
• Strong knowledge of data validation, statistical modeling, and experimental design (e.g., A/B testing).
• Strong stakeholder management skills, including influence, expectation-setting, and cross-functional alignment at senior levels.
• Ability to translate strategic goals into analytics plans and performance metrics.
• Fluency in agile product development environments, with experience prioritizing analytics delivery in support of sprint and quarterly roadmaps.
• Excellent communication skills with the ability to translate complex data findings into clear business narratives.
• Ability to collaborate cross-functionally, manage competing priorities, and deliver high-quality analytics outputs on time.

Nice to Have

• Relevant professional certifications such as Certified Professional Scrum Master (PSM) or Certified Professional Scrum Product Owner (PSPO).
• Experience working in an Agile or product-driven environment, closely aligned with Product Management and UX Design teams.
• Exposure to cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift).

Qualifications

• Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.
• Master's degree in Data Analytics, Quantitative Methods, or Digital Product Analytics preferred.

Benefits & Perks

• Work indoors during all seasons and weather conditions.
• Comply with Corporate dress code policy.
• Work hours beyond standard hours as needed.
• Travel up to 10%.