Product Analytics Lead - Growth Analytics

Key Skills

Data science techniques, Growth Analytics, KPI, KPIs, Leadership, Product Analytics, Project management, SQL

Job Description

At Tide, we’re on a mission to save businesses time and money. We’re the leading provider of UK SME business accounts and one of the fastest-growing FinTechs in the UK. Using the latest tech, we design solutions with SMEs in mind and our member-driven financial platform is transforming the business banking market. Not only do we offer our members business accounts and related banking services, but also a comprehensive set of highly connected admin tools for businesses.

Tide is about doing what you love. We’re looking for someone to join us on our exciting scale up journey and be a part of something special. We are wanting passionate Tideans to drive innovation and help build a best-in-class platform to support our members. You will be comfortable in ambiguous situations and will be able to navigate the evolving FinTech environment. Imagine shaping how millions of Tide members discover and engage with business banking platforms and building this on a global scale.

What we’re looking for:

As a Lead Product Analyst you’ll work closely with Tide Partner Credit’s product teams to use data to drive higher revenue. You’ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy.

This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Head of Product for PCS.

As a Lead Product Analyst you’ll be:

• Product Discovery - hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s).
• Solution confidence - product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the product experimentation expert and would observe data, propose, design and analyse product experiments.
• Product and feature performance review - new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify & analyse various impact hypotheses behind new products and features and define measurable KPIs.
• User research - solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems.
• Goals to KPI translations - you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards.
• Engagement to LTV correlations - engagement driven products and features have an indirect, unestablished impact on member longevity (commercially speaking LTV). We use data to establish this correlation and quantify the indirect impact. You would be required to perform custom analysis, using statistical methods to validate these correlations and assist product teams to prioritise investment on scaling product and features that have an indirect impact on engagement, longevity and thus LTV.
• Experimentation & product growth - you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results.
• Self Serve Product Analytics - partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams.

What makes you a great fit:

• 10+ years of experience working on Product Analytics for a digital product.
• Strong hold on product strategy, experimentation, roadmapping, & prioritisation
• You are a consumer tech geek, preferably fintech (not mandatory).
• You are a natural storyteller with exceptional presentation skills.
• You believe and invest time in project management and have exceptional people skills.
• You understand and believe user experience is a product.
• You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo.
• You have an intrinsic need to be excellent but have learnt to be action oriented.
• You have failed and can talk about it at length.
• You have worked as an analyst and a product manager.
• You have excellent SQL proficiency and are willing to crunch complex numbers.
• You are a self starter and can operate with a high degree of independence.
• You have the ability to deal with ambiguity and competing objectives in a fast paced environment.

What you’ll get in return:

Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get:

• Competitive salary
• Self & Family Health Insurance
• Term & Life Insurance
• OPD Benefits
• Mental wellbeing through Plumm
• Learning & Development Budget
• WFH Setup allowance
• 15 days of Privilege leaves
• 12 days of Casual leaves
• 12 days of Sick leaves
• 3 paid days off for volunteering or L&D activities
• Stock Options

Tidean Ways of Working

At Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.