Business Data Analyst

2 weeks ago


London, Greater London, United Kingdom Utility Warehouse Full time £35,000 - £55,000 per year
Company Description

Hiring Manager: Saloni Gupta - 

Recruiter: Martyna

Hours: 37.5 hours per week

Location: Colindale, North London with hybrid working or remote

Earliest closing date: 

Click here for support on your internal application. 

Hello UW team member

Developing your career at UW is something we feel passionately about so we're delighted that you're exploring opportunities across the business. 

If you're interested in the below role, please ensure you've reviewed our internal application criteria and spoken to your line manager.

Please note we require you to meet the qualification/experience requirements below to be considered for this role.

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

We are seeking a detail-oriented and business-savvy Business Data Analyst to join our team. In this role, you will turn data into insights that support key decision-making across departments. You'll work closely with stakeholders to understand business needs, develop meaningful reports and dashboards, and provide analysis that drives performance, strategy, and efficiency.

Minimum requirements:

  • Experience of operational analysis, commercial analysis or similar.
  • Advanced proficiency in data visualisation (e.g., Looker Studio) and interactive dashboard creation.
  • Strong SQL skills;

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

  • Demonstrable experience of identifying and developing insights, that have led to gains in operational efficiency, improved productivity and/or reduction in costs.
  • Proven track record as a Business Data Analyst or in a similar analytical, data-driven role.
  • Strong ability to proactively identify operational bottlenecks, uncover insights, and translate them into tangible business improvements.
  • Python for analytics is a plus.
  • Deep understanding of relational databases, data structures, and data modelling concepts.
  • Skilled in Google Workspace, Excel, and complementary data analysis tools.
  • Exceptional problem-solving skills with a keen eye for detail and accuracy.
  • Adept at simplifying complex information into clear, actionable recommendations.
  • Comfortable managing multiple priorities independently in a fast-paced environment.
  • Excellent stakeholder management, communication, and storytelling skills.

Don't worry if you don't have the whole list. If you feel you have most of it and can learn the rest pretty quickly then please don't hesitate to apply. Overall we are looking for imaginative and pragmatic problem-solvers who want to help make a positive impact with data at UW.

The successful candidate will be a data enthusiast, possessing curiosity and an inquisitive attitude and need to be comfortable with data manipulation, processing and modelling. You will have an appreciation for self-service analytics and data governance..

This role is an excellent opportunity for a candidate seeking  to drive themselves with their own enthusiasm for data and to make a significant difference to the growth of the business.

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

  • Act as a strategic partner to stakeholders, translating business challenges into data-driven opportunities.
  • Proactively analyse operational performance to pinpoint areas within Operations that need improvement, uncover root causes, and recommend impactful, measurable solutions.
  • Transform large, complex datasets into clear insights that influence decision-making and drive business growth.
  • Design, build, and maintain compelling dashboards and reports (e.g., Looker Studio) that provide real-time visibility into key metrics and trends.
  • Work cross-functionally with BI Analysts, Data Engineers, and other teams to ensure data integrity, consistency, and availability.
  • Present findings in a clear, compelling manner to audiences at all levels, from technical teams to senior leadership.
  • Lead the development and adoption of data governance best practices, ensuring accuracy, compliance, and transparency in reporting.
  • Continuously identify opportunities to automate processes, enhance reporting efficiency, and innovate in analytics delivery.

What's next? 

Here is an overview of the internal recruitment process so you know what to expect. 

Please note, there is the possibility to be either rejected or progressed at each stage; the below flow assumes you have been successful at every touchpoint. 

  1. You submit your application

  2. The Recruiter assess your application against the minimum requirements

  3. The Recruiter will have a chat with your current line manager about your:

    1. Suitability for role

    2. Job performance

    3. Absence statistics

    4. Behaviour and Conduct

  4. The Recruiter will book in a video call with you to discuss your application and suitability

  5. You will attend an interview with the Hiring Manager

  6. The Recruiter will inform you of the outcome 

Job Description Additional Information

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 don't 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.



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