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Product & Data Analyst Internship Under the direction of the VP, Product Capability Leader, the Product & Data Analyst enables product strategy and decision‑making through rigorous analysis of user behavior, feature performance, and internally sourced data. This role is responsible for identifying relevant data sources, synthesizing outputs, and translating data into actionable, outcome‑oriented insights that inform product direction and roadmap priorities.
Specific responsibilities include:
Product and growth insights: analyze user behavior, engagement patterns, and feature performance to inform product strategy and growth initiatives
Data synthesis and storytelling: transform complex data into clear, outcome‑oriented insights and views for diverse audiences
Decision support: enable data‑informed prioritization, experimentation, and roadmap decisions
Cross‑functional partnership: collaborate with product, UX, and technology partners to align insights with strategic goals
Main Responsibilities Product and Data Analysis Enable strategic product decisions through robust analysis and interpretation of data:
Identify, evaluate, and integrate relevant internal data sources to support product insights
Analyze user behavior, journeys, and engagement to uncover opportunities for optimization and growth
Measure feature performance against defined success metrics and product outcomes
Conduct exploratory and hypothesis‑driven analysis to answer strategic product questions
Support experimentation, A/B testing, and post‑launch analysis to assess impact and learnings
User Journey and Experience Optimization Develop a deep understanding of how users interact with products across their end‑to‑end journey:
Partner with UX Strategists to analyze qualitative and quantitative signals across the user journey
Identify friction points, drop‑offs, and moments of opportunity within key workflows
Translate behavioral insights into clear recommendations for improving usability, engagement, and outcomes
Support user‑centered decision‑making by grounding design and product discussions in data
Maximize the Value of Product Capabilities
Define, track, and maintain key product and experience metrics aligned to strategic objectives
Create outcome‑oriented dashboards, reports, and views tailored to leadership and delivery teams
Surface insights that inform prioritization, investment decisions, and roadmap trade‑offs
Serve as a trusted analytical partner to product leadership, helping connect data to strategy
Roadmap Enablement and Strategic Support
Collaborate with Capability Leader and Lead Product Manager to inform near‑term and long‑term roadmap decisions
Provide analytical input to business cases, strategic narratives, and product reviews
Support leadership‑facing materials by translating data into concise, decision‑ready insights
Ensure learnings from delivery, launches, and experiments are fed back into planning cycles
Key Skills
Strong data analysis skills in SQL, Python; experience building PowerBI dashboards
Strong analytical skills with the ability to interpret complex datasets and derive actionable insights
Experience analyzing user behavior, product performance, and engagement metrics
Ability to synthesize quantitative and qualitative data into clear, compelling narratives
Comfort working across ambiguous problem spaces with minimal direction
Strong communication skills, with the ability to tailor insights for varied audiences
Collaborative mindset and ability to partner effectively across product, UX, and engineering teams
High attention to detail, balanced with a strong sense of strategic context
Experience
A minimum of 2 years of product or data analytics, or product strategy role
Hands‑on experience working with product, customer, or behavioral dataFamiliarity with product development, lifecycle and agile delivery
Preferred: Experience within financial services and retirement
Personal Qualities
Curious, analytical, and outcome‑oriented
Proactive self‑starter with strong ownership mindset
Adaptable and comfortable working in evolving environments
High integrity and commitment to quality and accuracy
Results‑oriented, with a passion for using data to drive better decisions
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Sprachkenntnisse
- English
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