Senior Customer Marketing Data Analyst

Utility Warehouse

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profile Job Location:

London - UK

profile Monthly Salary: Not Disclosed
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

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

As a Senior Data Analyst at Utility Warehouse you will be designing and developing the system of tables within a specific domain. This role is responsible for ensuring that the data model remains coherent scalable and cost-effective. 

You will act as a technical lead and strategic partner to our core business units. You will be responsible for eliminating technical debt in our data stack and driving the adoption of advanced analytics methodologies. This role operates at the intersection of engineering and business strategy requiring you to translate ambiguous business problems into actionable insights and scalable technical solutions.

This role will work directly with the Customer Marketing team. Your work will directly inform campaign design performance tracking and long-term marketing effectiveness. Youll help shape the marketing strategy through data identifying what works what doesnt and what could.

Your responsibilities will include:

  • Analytics Engineering (Dataform/dbt): Build and maintain end-to-end analytics-ready data models in Dataform independently handling complex logic and transformations.
  • CI/CD & DevOps (Data version control): Apply version control (through tools like Git & Github) and unit testing practices to analytics models to ensure data assets are stable reproducible and ready for deployment.
  • Performance Engineering: Write optimised SQL proactively tuning for performance (cost & runtime) and addressing alerts about data quality.
  • Ownership: Independently plan and execute medium-to-large requests through to completion; identify and proactively address tech debt.
  • Actionable Insight: Translate complex data into actionable business and marketing insights. Move beyond what happened to explain why it happened and recommend what to do next.
  • Dashboards/Reporting: Build visual self-serve dashboards and reports for users to access KPIs / metrics and explore/analyse pre-built data set.
  • Stakeholder Management: Manage the full request lifecycle. Actively engage with stakeholders to refine broad requests into clear requirements providing accurate estimations and delivering within agreed timelines.
  • Domain Ownership: Develop deep knowledge of customer marketing. Understand the impact of key metrics on the business and participate in defining team goals based on this knowledge.

Qualifications :

To be successful in this role youll need:

  • Technical Mastery:

    • SQL Proficence (Expert)-You can debug the most complex queries.

    • Advanced data modelling skills: You can develop and implement sophisticated reusable and scalable domain-level data models. You design for scale and architect dimensional data models that support multi-year business scalability

    • Technical Standards (Governance): You can evidence that you have influenced technical guidelines principles and standards. You conduct rigorous code reviews and ensure only high-quality code enters production.

    • Analytics Methodology: Strong working knowledge of advanced analytics methodologies (e.g. attribution modeling cohort analysis methods) implemented directly into data models.

    • Customer Marketing Tech Stack: Familiarity with customer engagement and experimentation tools (e.g. Braze Optimizely) as well as product & marketing analytics tools would be ideal (e.g. Mixpanel / Amplitude Google Analytics / GA4 etc.).

  • Impact:  

    • Proven experience leading end-to-end complex analyses and strategic recommendations that drive measurable improvements in core business KPIs alongside a track record of partnering with stakeholders to design metrics and experiments proactively addressing technical debt and driving team prioritisation to align with organisational goals.

  • Planning & Delivery: 

    • Feature ownership: You can demonstrate ownership of large analytical features from technical design through to completion

    • Risk Management: You can identify and proactively address technical debt. You can articulate the trade-off between shipping fast and building right to stakeholders 

  • Operational Excellence:  

    • Reliability Engineering: You can demonstrate end to end ownership of the reliability and performance of a core analytical domain including advanced observability

    • Pipeline Design: You showcase that you design scalable data analysis processes that require minimal supervision

  • Business & Domain Knowledge: 

    • Extensive understanding of complex business models and company strategy with a proven ability to align analytical work streams with high-level goals lead strategic domain discussions and translate complex key metrics into actionable insights across multiple business areas.

    • Significant experience in Marketing CRM or customer-focused analytics models

  • Leadership & Culture: 

    • Technical mentorship: Demonstrated experience in coaching analysts through code and design reviews

    • Collaboration: Foster inclusive collaboration across all organisational levels 

    • High Standards: champion high-quality analytical standards and cultural values across the function.


Additional Information :

Our Interview Process:

  1. Application
  2. Short online SQL Test (10 minutes)
  3. Recruitment Screen (30 minutes)
  4. SQL Programming test (up to 45 minutes)
  5. Hiring Team Interview (1 hour)
  6. Final Presentation (1 hour)

So why pick UW

Weve got big ambitions so theres going to be plenty of challenges. There are also a lot of benefits: 

  • An industry benchmarked salary. Well share it during your first conversation.
  • Hybrid working with 1-2 days in the office. (Were definitely open to discussing flexible working arrangements)
  • Discount on our services and you get our coveted Cashback Card for free. Youll also get access to 100s of rewards and discounts through Perkbox
  • A matched contribution pension scheme and life assurance up to 4x your salary. You can also access free mortgage advice and a financial wellbeing tool.
  • 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. Our wellbeing app Unmind supports your mental health.
  • Belonging groups that help UW shape an even more inclusive future.
  • A commitment to helping you develop your career journey through learning coaching and new experiences

Apply now!

Youve got this far... Hit apply - we cant wait to hear from you! Worried you dont hit all the criteria We welcome applications from diverse and varied backgrounds so get your application in and lets chat!

Beth Rodgers will be your point of contact throughout the recruitment process.  

Not sure you meet all the requirements Let us decide! Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification when in fact they often do.

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 dont be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered.

Please note if you are successful and offered a role at UW 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.


Remote Work :

No


Employment Type :

Full-time

We deliver progress. What youll do and how you will make an impact.As a Senior Data Analyst at Utility Warehouse you will be designing and developing the system of tables within a specific domain. This role is responsible for ensuring that the data model remains coherent scalable and cost-effective....
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Key Skills

  • Databases
  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics

About Company

Company Logo

From a pub in Henley back in ‘96, to an award-winning business with over a million customers – we’ve come a long way. For over 20 years we’ve been putting money back into people’s pockets through our unique utilities bundles. We take pride in delivering simple yet powerful services t ... View more

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