Sr. Associate, Product Analytics

About the Role

Key Responsibilities

• Apply a structured framework (e.g., issue trees, hypothesis-driven problem-solving) to dissect complex business challenges.
• Perform deep-dive analysis into business performance, market dynamics, and competitive benchmarks to uncover key insights.
• Track and analyze key product metrics such as retention, churn, and conversion rates.
• Conduct user behavior analysis and identify friction points.
• Collaborate with product teams to inform decisions through data insights and experimentation (e.g., A/B testing).
• Collaborate with executives and cross-functional teams to define business objectives, priorities, and success criteria.
• Present clear, data-backed recommendations with compelling storytelling to drive stakeholder alignment and action.
• Design and document business processes, workflows, and system requirements, ensuring alignment with long-term strategy.
• Partner with delivery teams to implement solutions and oversee change management to ensure smooth adoption.

Requirements

• Bachelor's Degree in Business Administration, Finance, Economics, IT, Applied Mathematics.
• 7+ Years Data Science, Analytics, Statistics, Economics, Finance, or Applied Mathematics.
• Proficiency in analytics tools such as Amplitude and Google Analytics.
• Strong skills in SQL, Python, or R.
• Knowledge and skill in experimentation and statistical analysis.
• Strategic thinking and ability to break down complex problems into actionable components.
• Analytical and tactical planning skills.
• Proficiency in data-driven decision-making using tools like Excel, SQL, Tableau, or Power BI.
• Strong interpersonal and communication skills to influence stakeholders at all levels.
• Experience in building compelling presentations and reports that distill complex ideas into actionable strategies.
• Strong project management and organizational skills.
• Knowledge of methodologies like Agile, Lean, or Six Sigma for process improvement.

Nice to Have

• Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.

Qualifications

• Bachelor's Degree in relevant fields.
• 7+ years of relevant experience in data science, analytics, or related fields.

Benefits & Perks

• The annualized salary range is $93,750 to $155,000 USD, depending on skills, experience, and location.
• Access to Santander benefits as outlined in the 2025 Santander OnGoing/NH eGuide.