Wise

Finance / FinServ

LeadProductAnalyst

£75–115k london, england, united kingdom FULL TIME
The Brief

“Lead Product Analyst at Wise. Skills: data analysis, SQL, Python, A/B testing, causal inference, stakeholder management, First Principles Thinking. understand exactly what these customers need. pinpoint where their experience breaks down”

What You'll Achieve.

make our product more predictable; build the trust required for customers to move significant capital with ease; improve how we verify transfers; make this journey seamless; ensure customers feel supported throughout their journey; prevent churn; directly influence customer retention and unlock further growth

Industry & Context.

Finance / FinServ
Problems you'll solve

First Principles Thinking; take an ambiguous, open ended problem, structure it and solve it

What They're Looking For.

Must Have

5+ years experience in analytical roles, data analysis skills (SQL & Python), Experience conducting regular A tests, causal analyses to determine impact of product changes on defined metrics, Experience partnering with Product Managers and other Analysts to set KPIs and monitor the impact of new product features on conversion, stickiness and engagement, stakeholder management skills, bias to action, First Principles Thinking

Nice to Have

Experience delivering high quality data and self-serve analytics using tools like Airflow, dbt and Looker, Practically used + applied AI / machine learning techniques and built predictive models to get deeper insights, Knowledge of the FinTech ecosystem

What You'll Do.

understand exactly what these customers need

pinpoint where their experience breaks down

help the team focus on solving their most critical challenges

bridging the gap between data and product strategy

provide the dedicated analytical capacity needed to drive our most critical workstreams

lead insight generation and impact tracking to improve how we verify transfers

clarifying documentation requirements and removing friction from the process

look around the corner to determine what the team should focus on next to make this journey seamless

analyze how we can improve our response times and service quality

define the strategy for how we scale our support operations

identify which customer segments require more specialized attention to prevent churn

improving the reliability of our product and the efficiency of our service

How You'll Work.

Team & Collaboration

partnering with Product Managers and other Analysts to set KPIs; collaborative

Free ATS check

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