Data Analyst London (ID: QAgzEbBi)

As a Data Analyst, you'll be part of the centralised Product Analytics team and wider data community where you'll share knowledge, support other analysts, and contribute towards the team's methodologies.

In this role, you'll also be embedded in one of our cross-functional teams.

What will I be doing?

Data is the foundation of everything we do, and to deliver our vision we need curious, tenacious people who can turn this data into strategy and actions with their expertise. As a Product Data Analyst, you'll help product teams derive insights, identify patterns and solve challenges with data. You'll be working with outstanding product teams to develop industry-leading agent tooling and drive decision-making through data.

This role is a good fit for you if you want to:

Aid us in tracking our product performance using analytics on key user journeys. Help to define what is important to track, how to track them and support the adoption of these metrics.
Act as a bridge between the data team and product team to ensure that insights are actionable and lead to product improvement.
Define metrics and build dashboards to support performance analysis, operations, decision making and product development
Take on complex, multi-functional problems through the use of analytical techniques, statistics and hypothesis testing
Build out our robust data estate to enable self-serve analytics and democratise our rich data
Develop and optimise sophisticated retail data products that form aspects of our platform
Do commercial modelling, creating cost/benefit analysis of proposed actions and outcomes based on a consistent value model.
Promote ethical methodologies across how all data is used and processed, always ensuring that compliance and security are placed first.

Ideally, you will have:

Real-world experience in a similar data or analytical role, with a good understanding of querying, analysing, and extracting insights from data.
Experience with SQL, ideally using more complex functions such as partitioning
Highly numerate & analytical; able to seek complex problems and delve into the detail while thinking strategically
Confidence in building and communicating significant data visualisations and experience in using a business intelligence platform (we use Tableau and Looker Studio)
Excellent presentation and communication skills - able to articulate results clearly and concisely to senior stakeholders.
Proven track record of engaging with internal and external stakeholders
Experience in programming for analytics, preferably in Python.
Statistical knowledge, for example, significance testing, hypothesis testing and basic probability theory
Experience with user interaction tooling (e.g., Mixpanel) and an understanding of customer journeys

About us:

We reimagine energy to bring net-zero within everyone's reach. Our intelligent platform enables energy utilities to unlock the full value of a radically changing energy system and propel us to a future where renewable energy is sustainable, affordable and accessible for all.

From automating and simplifying core operations, including billing, to create a lower-cost, higher-engagement experience, to optimising energy usage across smart devices in the home, we turn tough challenges into win-win-win outcomes for customers, suppliers and the energy system.

We embrace a flexible, hybrid work model that balances autonomy with the power of in-person connection. Many of our teams find value in coming together regularly to collaborate, strengthen relationships, and accelerate progress. We're focused on shaping thoughtful, team-driven approaches that support both business impact and individual well-being.

We also prioritise meaningful company-wide gatherings like our annual conference and end-of-year celebrations, which bring us together to align, connect, and celebrate.

We're on a mission, we build together, we're inclusive, we get it done, we communicate with purpose.

Our values are not words on a wall — they are at the heart of our culture. They are how we make decisions and how we treat each other. They are concrete and clear, and reflect what we as people and as a business really care about.

Our vision is to power a world where net-zero is within everyone's reach. Would you be interested in joining us to help achieve this?

Benefits:

• Pension Scheme
• Share Scheme
• Discretionary Bonus Scheme
• Private Medical Insurance + Virtual GP
• Life Assurance
• Free Mortgage Advice and Eye Tests
• Perks at Work - access to thousands of retail discounts
• 5% Flex Fund to spend on the benefits you want most
• 26 days' holiday
• Flexible bank holidays, giving you an additional 8 days which you can choose to take whenever you like
• Progressive leave policies with no qualifying service periods, including 26 weeks full pay if you have a new addition to your family
• Dedicated personal learning and home office budgets
• Flexible working — we trust you to work in a way that suits your lifestyle
• And more…
• Even better? You'll have access to these benefits from day 1 when you join.

Position: Data Analyst  -  Job Type: Full-Time  -  Salary: £55,000 to £70,000 per year  -  Location: London