Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.
Are you a student looking to make extra money this summer while gaining valuable work experience? Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow. Our internship program offers practical corporate work experience that could lead to full-time work after graduation. We are seeking students going into their senior year, graduating in the spring of 2027.
The shift is from 9 am to 5 pm, 40 hours per week, starting in June and ending in August. This is a hybrid position in Dresher, PA that pays $21 per hour.
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.
The Product & Data Analyst partners closely with Lead Product Manager, UX Strategist, and Architects to identify growth opportunities, optimize user journeys, and increase engagement through data-driven insights. This individual operates with a high degree of analytical rigor, curiosity, and autonomy, serving as a trusted thought partner to product leadership by grounding strategy in evidence and measurable outcomes.
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
Partner with product strategy team to ensure data meaningfully informs value creation:
- 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
Support data-driven roadmap development:
- 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
Skills / Capabilities
- 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 strateg role
- Hands-on experience working with product, customer, or behavioral data
- Familiarity 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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