Lead Data Analyst - Customer Experience

Greater London
Full time
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Utility Warehouse Limited
1,001-5,000 employees
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This is a hybrid role working from one of our London hubs 2 days per week.

Hi! We're UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings!

We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you.

Got your attention? Read on…

We put people first. It’s all about you..

Are you a Senior Data Analyst with experience and an interest in managing a small team of high performing analysts? We're looking for a Lead Data Analyst to manage the Customer Data team. You'll still be hands on in the analytics but also have a passion for developing and managing people.

Here’s the key skills and experience we’re looking for you to bring:

  • Extensive Experience: Several years of experience in data analysis or a related field, with a proven track record of successfully leading analytical projects and teams.
  • Advanced Technical Skills: Expertise in data analysis tools and programming languages such as SQL, Python, or R, as well as proficiency in statistical analysis and data visualisation tools (Looker/Big Query/Dataform)
  • Leadership and Management: Strong leadership skills with the ability to mentor, guide, and motivate a team of data analysts, fostering their growth and development.
  • Strategic Thinking: The ability to think strategically and translate data insights into actionable business strategies and recommendations.
  • Business Acumen: A deep understanding of business operations, industry dynamics, and the ability to align data analysis efforts with the organisation's goals and objectives.
  • Project Management: Proven experience in managing and delivering complex analytical projects, ensuring they meet business requirements and objectives.
  • Communication and Presentation: Excellent communication and presentation skills, with the ability to effectively communicate complex data insights to both technical and non-technical stakeholders.
  • Data Governance: Knowledge of data governance principles, data privacy regulations, and ethical considerations in data analysis.
  • Analytical Problem-Solving: Strong analytical and problem-solving skills, with the ability to tackle complex data challenges and provide innovative solutions.
  • Collaboration and Teamwork: The ability to collaborate effectively with cross-functional teams, build relationships, and influence decision-making processes.
  • Continuous Learning: A mindset of continuous learning and staying updated with the latest trends, tools, and methodologies in data analysis.

We work together. Your team and the people you will work with…

As a Lead Data Analyst, you will report to the Head of Business Insights & Reporting and manage a small team of Data Analyst. You'll work alongside other analysts, Data Scientists and Data Engineers to develop insights for stakeholders, primarily Product Managers, in the UW Customer Experience (CX) Product teams.

We deliver progress. What you’ll do and how you will make an impact.

Our Data Analysts at UW are hands-on in delivering technical data solutions. You'll lead and inspire your team to deliver high-quality analytical support to the business. On a day to day basis this will include:

  • Leadership and Management:
    • Provide guidance, mentorship, and direction to a team of data analysts, ensuring their growth, development, and success.
    • Delivery of data roadmaps and data delivery prioritising requests that will give the greatest value overall.
    • Create and maintain a data-literate and data-driven culture across the organisation.
  • Advanced Data Analysis:
    • Analyse complex datasets using advanced statistical and exploratory data analysis techniques to uncover trends, patterns, and insights that drive strategic decision-making.
    • Translate complex information into requirements and business processes to provide actionable insights and recommendations for critical business decisions, working closely with various stakeholders
    • Support the design and launch of experiments; uncover opportunities and surface new ideas that may lead to breakthroughs or challenges.
  • Data Modeling: Developing and implementing data models to forecast business outcomes and support strategic planning.
  • Data Visualisation and Reporting:
    • Create and maintain clear and impactful data visualisations and reports to communicate insights to stakeholders and support data-driven decision-making.
    • Own the maintenance and improvement of the CX domain’s business intelligence reporting infrastructure
    • Research and build metrics for product performance.
    • Metrics explanation and interpretation to non-analytical staff.
  • Project Management: Overseeing and managing analytical projects, ensuring they are delivered on time, within budget, and in line with business objectives.
  • Data Quality Assurance:
    • Implementing and maintaining data quality standards and processes to ensure the accuracy, integrity, and reliability of data. Assist in data management, governance, attribution rules, and data quality with other functional data owners to ensure data integrity across different departments.
    • Support product teams and engineers in the design of essential product events collection framework.
  • Cross-functional Collaboration: Collaborating with various teams to understand their data needs, provide insights, and drive data integration into business processes.
  • Continuous Improvement: Staying up-to-date with the latest trends, tools, and methodologies in data analysis and driving continuous improvement within the team.
  • Strategic Guidance:
    • Providing strategic guidance and recommendations based on data analysis to drive business growth, improve operational efficiency, and optimise decision-making.
    • Analyse user behaviour data and funnel metrics, generating recommendations for product and feature improvements
    • Communication of business performance to the management team.

So why pick UW?

We’ve got big ambitions so there’s going to be plenty of challenges. There are also a lot of benefits:

  • An industry benchmarked salary. We’ll share it during your first conversation.
  • Share Options and a Save as You Earn scheme.
  • Hybrid working, with 2 days in the office. (We’re definitely open to discussing flexible working arrangements)
  • Discount on our services and you get our coveted Cashback Card for free.
  • A matched contribution pension scheme and life assurance up to 4x your salary.
  • Family-friendly policies, designed to help you and your family thrive.
  • Discounted private health insurance, access to an Employee Assistance line and a free Virtual GP.
  • Belonging groups that help UW shape an even more inclusive future.
  • A commitment to helping you develop and grow in your role.

Apply here!

You’ve got this far… Hit apply - we can’t wait to hear from you! Worried you don’t hit all the criteria? We welcome applications from diverse and varied backgrounds so get your application in and let’s chat!

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. If you need any help, support, or advice at any point during the hiring process please just let us know.

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.