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Salary
This role is available for Hybrid working from our central London office
Hello, we're UW.
We’re a bunch of great people working together, solving problems and having fun. Together, we strive to find solutions to help the great people around us get on with the things that really matter in life.
How? It’s simple, we take the headache out of essential home services by providing them all in one place – energy, broadband, mobile, and even insurance. That’s one provider, one account, one bill, and lots of savings.
We’re a truly unique FTSE 250 company with a business model that has real social impact at the heart of it. Being a part of the UW community you’ll join a working environment like no other - one where everyone matters - be it our customers, our partners or you, our people.
About the role
We are looking to recruit a Senior Data Analyst to join our Data Team working on Customer Lifetime Value Optimisation. You will work in a team alongside other analysts, Data Scientists and a Data Engineers to develop insights for stakeholders, primarily Product Managers in the UW Product teams. This role requires hands-on activities and is fully embedded in the delivery of technical solutions.
What you’ll do
- Collaborate with business and product teams to develop and deliver data analytics projects, actionable insight and recommendations
- Translate complex information into requirements and business processes and work with stakeholders to prioritise projects and ask the right questions
- Communicate with the product and business teams to understand business processes, and provide data-driven insights.
- Create visualisations (we use Looker) and manage strategic dashboards/KPI reporting
- Work with Data Engineers to develop/adjust data models as required
- Teach, mentor and support more junior Data Analysts
- Drive the adoption of optimisation and experimentation in your core analytics area
About you
- Previous experience in business insights and data analytics (exploratory and descriptive analysis)
- Experience in data storytelling
- Hands-on experience with SQL and data visualisation tools (we use Looker). Experience with Python is desired.
- Experience with BQ / GCP / Looker / Terraform will be beneficial
- Analytical skills and problem-solving capabilities
- Ability to manage the time to produce high-quality work with deadlines
- Familiarity with SaaS would be ideal (Mixpanel/Google Analytics, CDP, MVT platforms etc.)
- Ability to work within a diverse team spanning business leaders, product managers, software engineers and data scientists.
- Experience in customer support analytics or CX analytics is advantageous
What's in it for you
Join a high growth FTSE 250 business and help us achieve our ambitions whilst learning and having fun. Become part of a fantastic business culture where people really are at the heart of everything we do.
- Huge opportunities for exposure & development as we scale up
- A competitive salary
- 25 days holiday plus Bank Holidays
- Life Insurance up to 4 x your salary
- Discounted healthcare and medical cash plans including a free Virtual GP service
- Private pension scheme
- Share options and Save As You Earn Scheme
- A range of Health & Wellbeing benefits including a confidential Employee Assistance Programme, Virtual fitness classes and wellness tools
- Discounts on UW products & services
We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation.
Please note, if you are applying for a role which involves having access to personal data, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.
Additional Information
We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation.
Please note, if you are applying for a role which involves having access to personal data, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.
