Product Data Analyst - Kaluza Help Squad

Location: London / Bristol

The OVO Group’s purpose is to drive progress towards net zero carbon living. To reach Plan Zero, we need everyone to come together - not just as customers buying energy, but as members with a common goal. As part of this ambitious plan, our goal is to become the ‘Leading Employer in the UK’ by 2030. If you think you could be the talent we’re looking for, then come and join the adventure!

Part of OVO Group, Kaluza is the leading intelligent energy platform powering the future of energy. From revolutionising billing to smart electric vehicle charging, Kaluza’s real-time cloud platform empowers some of the biggest energy suppliers to optimise their operations and invest in innovating for tomorrow’s customers. Driving decarbonisation, Kaluza intelligently manages the charging of smart home technologies, reducing customers’ energy bills and laying the foundations for a more flexible, cheaper and greener energy system. www.kaluza.com

Where in the world of OVO will I be working? 

You’ll be working in the Kaluza Help Squad where you’ll play a crucial role in making Kaluza the ‘Lowest cost to serve energy platform in the market’ through providing retail clients with the tools they need to solve customer problems in the most efficient and effective way possible. You’ll also be part of the centralized Kaluza analytics team and wider OVO analytics community where you’ll share knowledge, support other analysts and contribute towards best practices.

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 at Kaluza, you’ll help product teams derive insights, identify patterns and solve challenges with data. You’ll be helping product teams develop industry leading agent tooling and drive data-driven decision making.

Key responsibilities include:

• Defining metrics and building dashboards to support performance analysis, operations, decision making and product development
• Tackling complex, cross-functional problems through the use of analytical techniques, statistics and hypothesis testing
• Building out our robust data estate to enable self-serve analytics and democratize Kaluza’s rich data
• Helping product teams optimise the customer experience by analysing customer journeys with user interaction tooling to identify problem areas / bottlenecks and spot improvement opportunities
• Training non-data folk to help improve data literacy and make Kaluza even more data-driven
• Spotting and acting upon value-add data opportunities, and escalating risks
• Developing and optimising advanced retail data products that form part of the Kaluza platform
• Commercial modelling, creating cost/benefit analysis of proposed actions and outcomes based on a consistent value model.
• Promoting ethical best practices in the way all data is used and processed, always ensuring compliance and security is placed first.

Is this the job for me? 

Essential skills and experience:

• Experience in a similar data or analytical role, with strong experience querying, analysing and extracting insights from data.
• Expert SQL (ideally BigQuery) & Excel/Sheets skills
• Confident in building and presenting meaningful data visualisations and experienced in using a business intelligence platform (we use Tableau)
• Experience in programming for analytics, preferably in Python.
• Highly numerate & analytical; able to tackle complex problems and delve into the detail while thinking strategically
• Statistical knowledge including significance, hypothesis testing and basic probability theory
• Able to document and version control your work so others can pick it up and build on it
• Proven ability to engage productively with internal and external stakeholders
• Experience of working in a fast-paced environment where prioritisation is required
• Excellent presentation and communication skills - able to articulate results clearly and concisely to senior stakeholders.

Ideally you will have…

• Exposure to product analytics and experience working with product teams
• Education to degree level in a numeric, scientific or engineering discipline
• Experience with cloud data services, (e.g. Google Cloud Platform)
• Knowledge of data engineering processes and experience using GitHub
• Practical experience running A/B tests and analysing results
• Experience with user interaction tooling (e.g. Mixpanel) and an understanding of customer journeys
• Experience with scheduling / orchestration tools (e.g. Airflow)
• Experience working with customer experience and free text data

From us you’ll get* 

• An annual discretionary bonus
• 4% of your salary to spend on flexible lifestyle benefits
• 5% matched employer contribution to your pension
• 25 days holiday + 1 for your birthday
• And many more... 

(*) Please note that certain benefits kick-in once you have passed probation which can be up to 6 months after your start date.

We want the best people 

At OVO, we empower our people to have choice around where and when they work - flexible working arrangements can be discussed for all of our roles. Please speak to the Talent Acquisition team for more info.

We’re keen to meet people with varied backgrounds - our view is the more inclusive we are, the better our work will be. We want to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential.

We understand some people may not apply for jobs unless they tick every box. If you're excited about joining us and think you have much of what we're looking for, even if you're not 100% sure… we'd love to hear from you.

Learn more about working in the OVO family of companies on our careers page and Glassdoor. We’re also delighted to have received a Top Employers certificate in 2018, 2019 and 2020!