Lead Product Analyst
Listed on 2026-02-16
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IT/Tech
Data Analyst, Data Science Manager
3 days ago Be among the first 25 applicants
SS&C is leading the way. We continue to look for today's and tomorrow’s brightest talent, those who embody a spirit to improve not only their lives, but those around them. From college students to seasoned and experienced professionals, we encourage you to apply. SS&C prides itself on hiring diverse, honest, dynamic individuals who value collaboration, accountability, and innovation, to name a few.
Lead Product Analytics
Locations
:
London, Essex | Hybrid
SS&C plays a critical role in the asset and wealth management industry, and our Product team has the opportunity to shape digital solutions for institutional investors, asset managers, and advisors
. This role sits within the Global Investor and Distribution Solutions (GIDS), the business unit that delivers global omni-channel investor servicing, including contact centre, as well as digital services.
We’re seeking an exceptional Lead Product Analyst to help bring to life the mission of empowering advisors, asset managers, investment businesses, insurance companies, pension providers, and wealth managers to do their best job with the help of cutting‑edge technology. You will help us take our key strategic areas to the next level.
This role requires a passionate and confident product analytics leader, willing to roll up their sleeves as a senior IC. You’ll be the knowledge leader and champion for analytics across the Product team, helping us identify customer frictions, wow moments, and long‑term value drivers.
What You Will Get To Do- Champion the use of data to inform product strategy, ensuring that product teams understand and use metrics before, during, and after delivery.
- Define and embed leading and lagging indicators that give a clear picture of customer behaviour, engagement, retention, and lifetime value.
- Be the analytics expert and motivator within the team, raising the standard of product decision‑making across the organisation.
- Build frameworks for customer journey analytics to identify frictions, drop‑offs, and opportunities to create delight.
- Lead A/B and multivariate testing, helping teams validate hypotheses and measure the real impact of features.
- Partner with UX research and design to blend qualitative and quantitative insights.
- Identify and work closely with the engineering team to develop the sources of data needed to ensure full visibility over our customers’ interactions with our products.
- Own, setup and optimise the use of analytics tools such as Google Analytics, Looker, Power
BI, Tableau, Superset, and Snowflake. - Write and review SQL/Python queries to extract, transform, and analyse data from multiple sources.
- Ensure data quality, accuracy, and accessibility to empower product teams with reliable reporting.
- Deliver actionable insights to product managers, engineers, and business leaders, enabling faster and better decision‑making.
- Translate complex data into clear stories and recommendations for both technical and non‑technical audiences.
- Develop dashboards and self‑serve reporting tools for the wider business.
- Work closely with product managers, engineers, and business leaders to shape roadmaps and prioritisation using evidence.
- Influence product culture, embedding data‑informed thinking into everyday ways of working.
- Provide informal coaching and knowledge‑sharing to help team members strengthen their own analytics capabilities.
- Bachelor's degree required; MBA or relevant Master's a plus.
- Proven experience as a Product Analyst, Data Analyst, or similar role, with at least 4+ years spent at a senior level in product‑led organisations.
- Strong track record in product analytics, delivering insights that drive measurable improvements in conversion, retention, engagement, and revenue.
- Expert in SQL and comfortable with Python or R for data manipulation and analysis.
- Hands‑on experience with implementation of product analytics and BI tools (e.g. GA, Looker, Power BI, Tableau, Superset, Snowflake or others such as Mixpanel, Amplitude, etc).
- Deep understanding of experimentation frameworks,…
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