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- Tasks: Lead a team to manage and analyse data, driving business insights.
- Company: UW simplifies utilities with one bill for energy, broadband, mobile, and insurance.
- Benefits: Enjoy hybrid working, share options, discounts, and a matched pension scheme.
- Why this job: Join a mission-driven company with big ambitions and a focus on personal growth.
- Qualifications: Experience in data analytics leadership, SQL, and ETL tools required.
- Other info: Diverse applicants are encouraged; we value unique backgrounds and perspectives.
The predicted salary is between 43200 - 72000 £ per year.
Location: London
Available on a Hybrid or Remote contract
Hours: 37.5 hours a week, Monday to Friday
We’re seeking a Data Manager with strong leadership and strategic capabilities to oversee the management, analysis, and visualisation of data within the Customer Service Operations environment.
The ideal candidate will have:
- Proven experience in a leadership role within Business Intelligence, Data Analytics, or a related field.
- A solid understanding of operations reporting, KPIs, and performance metrics.
- The ability to communicate complex data insights to non-technical stakeholders.
- Experience working with ETL tools like Dataform.
- An expert understanding of SQL and data modeling processes.
This role ensures the effective use of data through robust governance, modern analytics tools, and a high-performing team, while promoting data literacy and self-serve capabilities across the organisation.
Here is the reporting line for this role:
- Head of Operational Support
- Senior Quality and BI Manager
- Data Manager
- 3-4 Data Analysts
This role is critical in ensuring data integrity, driving business insights, and fostering a high-performing BI team.
What you’ll do and how you will make an impact:
- Leadership and Team management for 3-4 Data Analysts.
- Collaborate with cross-functional teams to understand needs and deliver solutions that support business decision-making.
- Promote transparency by effectively communicating data insights and performance metrics to stakeholders at all levels.
- Champion the use of advanced and automated data analytics tools to improve accuracy and efficiency.
- Ensure data automation aligns with company goals & supports scalability.
- Oversee the design, development, and maintenance of dashboards and reporting framework.
- Train and empower stakeholders on interpreting and utilising data.
- Conduct ad-hoc data analysis to identify trends, patterns, and opportunities.
- Translate complex data into actionable insights for business decision-making, driving process optimisation and performance enhancement.
- Actively stay abreast of emerging data analysis trends and technologies, ensuring the team is utilising the latest tools and techniques.
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.
- Share Options and a Save as You Earn scheme.
- Hybrid working, with 2 days in the office.
- Electric Car salary sacrifice scheme through Tusker.
- 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.
- 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.
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!
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.
Data Analytics Manager employer: Utility Warehouse
Contact Detail:
Utility Warehouse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Manager
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and business intelligence. Being able to discuss current tools and methodologies during your interview will show that you're proactive and knowledgeable, which is crucial for a leadership role.
✨Tip Number 2
Prepare to demonstrate your experience in managing teams and delivering insights. Think of specific examples where you've led a project or improved processes through data analysis, as this will highlight your leadership capabilities.
✨Tip Number 3
Practice explaining complex data concepts in simple terms. Since you'll need to communicate insights to non-technical stakeholders, being able to convey your ideas clearly will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the data analytics field, especially those who have experience in customer service operations. This can provide you with valuable insights into the role and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and leadership. Use specific examples that demonstrate your ability to manage teams and deliver actionable insights, particularly in a customer service context.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how it aligns with UW's mission. Mention your experience with ETL tools and SQL, and explain how you can contribute to the company's goals of improving business performance and customer outcomes.
Showcase Communication Skills: Since the role requires communicating complex data insights to non-technical stakeholders, include examples in your application that demonstrate your ability to simplify data findings and promote data literacy within teams.
Highlight Continuous Learning: Mention any recent training or certifications related to data analysis trends and technologies. This shows your commitment to staying updated and your readiness to implement the latest tools and techniques in your work.
How to prepare for a job interview at Utility Warehouse
✨Showcase Your Leadership Skills
As a Data Analytics Manager, you'll be leading a team of Data Analysts. Be prepared to discuss your previous leadership experiences, how you motivate your team, and any strategies you've implemented to drive performance and engagement.
✨Communicate Complex Insights Simply
You'll need to convey complex data insights to non-technical stakeholders. Practice explaining technical concepts in layman's terms, perhaps using examples from your past work where you successfully communicated data findings.
✨Demonstrate Your Technical Expertise
Familiarise yourself with the tools mentioned in the job description, especially SQL and ETL tools like Dataform. Be ready to discuss your experience with these technologies and how you've used them to drive business insights.
✨Emphasise Collaboration and Cross-Functional Work
This role requires collaboration with various teams. Prepare examples of how you've worked cross-functionally in the past, highlighting your ability to understand different needs and deliver effective solutions that support decision-making.
