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- Tasks: Join our Business Intelligence team to analyse data and create impactful reports.
- Company: UW, a unique FTSE 250 company focused on essential home services.
- Benefits: Competitive salary, 25 days holiday, private pension, and health benefits.
- Other info: Remote role with opportunities for growth and development.
- Why this job: Make a real impact with data while enjoying a fun and supportive culture.
- Qualifications: Experience in SQL, Google BigQuery, and data visualisation tools.
The predicted salary is between 30000 - 42000 ÂŁ per year.
Company Description
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 a 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.
This is a 9 month contract. It is a remote role. This is an immediate start vacancy.
We put people first. It’s all about you..
We are looking for a Data Analyst to join our Business Intelligence team. You will work in a team alongside other analysts to develop data pipelines, transform and interrogate data, derive insights and build reports and dashboards for stakeholders, that drive strategic and operational decision‑making.
Reporting directly to our Business Intelligence Manager you will play a pivotal role in helping us drive our digital transformation whilst not forgetting the human side of every customer interaction.
You will help drive efficiency, action and leading customer service through robust measurement, actionable KPIs, reporting, & analytics. Beyond understanding our unique business model you will help us get to know our teams and customer interactions better. Working with operational teams and customer product teams you will model data from business systems to be insight and operations ready.
This role is for you if you have:
- Solid experience in SQL
- Experience with Google BigQuery preferable
- Experience working with relational and non‑relational data sources
- Experience using Google Looker Studio (formerly Data Studio), or similar products
- Data visualisation and data storytelling skills
- Familiarity with data modelling concepts
- Experience of requirements gathering and stakeholder management
- Knowledge of Google Sheets
- Familiarity with fundamental statistical concepts
- Highly diligent with exemplary attention to detail
- Strong communicator with ability to articulate complex technical subject matter to non‑technical users
- Worked with data supporting a Contact Centre operational environment
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.
What you’ll do
- Join a small Business Intelligence team working within Operational Support
- Interrogate data in Google Big Query and develop data pipelines for analysis and reporting
- Build a portfolio of reports and dashboards using Looker Studio
- Ensure business alignment, active adoption and trust in numbers
- Curate trusted data models to enable self‑service analytics
- Manage the access and distribution of reports
- Adopt best practice data management techniques
- Be accountable for servicing information to our operations managers and team leaders
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
- Access to conferences (e.g. NeurIPS, ICML)
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!
Martyna Zbyszewska will be your point of contact throughout the recruitment process.
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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Data Analyst - Business Intelligence (9-month FTC) employer: Utility Warehouse
Contact Detail:
Utility Warehouse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Business Intelligence (9-month FTC)
✨Tip Number 1
Network like a pro! Reach out to current employees at UW on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for your interview by brushing up on your SQL and data visualisation skills. Be ready to discuss how you’ve used these tools in past roles. Show us your passion for data and how it can drive decision-making!
✨Tip Number 3
Don’t just focus on the technical stuff; be ready to talk about how you can contribute to the team culture at UW. We love imaginative problem-solvers, so share examples of how you've worked collaboratively in the past.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re excited to hear from candidates who are eager to make a positive impact with data at UW!
We think you need these skills to ace Data Analyst - Business Intelligence (9-month FTC)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight the skills and experiences that match the Data Analyst role. We want to see how your background aligns with our needs, so don’t hold back on showcasing your SQL and data visualisation skills!
Show Your Passion for Data: Let us know why you love working with data! Share examples of projects or experiences where you've used data to drive decisions or solve problems. We’re looking for data enthusiasts who are curious and eager to make an impact.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that’s easy to read and understand.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be good to go!
How to prepare for a job interview at Utility Warehouse
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with Google BigQuery and Looker Studio. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data-related challenges in previous roles. Think about specific situations where your analytical skills made a difference, especially in a contact centre environment, as this aligns well with what the company is looking for.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The ability to articulate technical information to non-technical stakeholders is crucial, so consider how you can demonstrate this skill during the interview.
✨Emphasise Team Collaboration
Since you'll be working within a small Business Intelligence team, highlight your experience in collaborative environments. Share stories that illustrate your ability to work well with others and contribute to team goals, as this will resonate with the company's culture.