At a Glance
- Tasks: Analyse data to drive insights and support product strategies for a sustainable future.
- Company: Join OVO, a leader in tackling the climate crisis with innovative solutions.
- Benefits: Competitive salary, flexible working, 34 days holiday, and green benefits.
- Other info: Be part of a diverse team dedicated to creating a better world.
- Why this job: Make a real impact on customer experiences while contributing to a zero-carbon mission.
- Qualifications: Strong analytical skills, experience with SQL and Python, and a passion for sustainability.
The predicted salary is between 62000 - 70000 £ per year.
Unfortunately we are unable to offer sponsorship for this role.
This role in 3 words: Insights. Connecting. Enabling.
Top 3 qualities for this role: Inquisitive. Engaging. Driven.
Where you’ll work: At OVO, we understand that a one size fits all approach doesn’t work for everyone. That’s why we created the OVO Way of Flexibility. All our roles are hub based (Bristol, Glasgow or London), providing a dedicated space for collaboration, connection and teamwork. You’ll also have the flexibility to work from home.
Everyone belongs at OVO. At OVO, we are on a mission to solve one of humanity's biggest challenges, the climate crisis. And we know it takes all of us to change the world. That’s why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us.
Teamworking for the planet. Everything we do here spins around Plan Zero. So, naturally, the team you’ll be joining plays a gigantic role in making that happen. Here’s how: We’re leveraging advanced analytics and automation to unlock insights to understand OVO’s customers better, personalise experiences, and make smarter and faster product decisions that enable our customers on their Path to Zero.
This role in a nutshell: You’ll be part of a multi-disciplinary data/AI pod, sitting within one of our Data Platform teams. As a Staff Analyst on the team, you will use advanced analytical techniques in order to measure product performance, identify and quantify product opportunities and support strategy. You will be working in a cross functional team including analysts, data scientists and software engineers. Your expertise will help us drive the delivery of our product, ensuring OVO Energy remains a leader in providing seamless and tailored experiences for our customers.
Your key outcomes will be:
- Develop a deep understanding of customer behaviour, journeys, and lifecycle touchpoints, leveraging internal and third-party data to generate actionable insights that inform our customer intelligence models.
- Define and implement measurement strategies for new product features and AI capabilities, including setting success metrics, designing experiments (e.g., A/B tests), and analysing outcomes.
- Support the design, development, and evaluation of Data and AI products.
- Contribute product and analytical expertise to the evolution of the analytics warehouse by helping define key metrics, influence schema design, and ensure that data structures support effective analysis and decision-making.
- Design and maintain dashboards, reports, and analytical resources that empower stakeholders to self-serve and make data-informed decisions.
- Bring a customer-first perspective to all analytical work, ensuring insights and recommendations consider the broader business and user context, with a focus on real-world impact.
- Promote best practice, guide stakeholders and other analysts of various levels in the use of data and analysis techniques.
- Promote ethical best practice in the way all data is used and processed, always ensuring compliance, security and our customers are placed first.
Systems: Proficiency of SQL is required, Python beneficial. We use Google Cloud, BigQuery, Dataform, Github, Looker – any familiarity with these or equivalent technologies is preferred.
You’ll be successful in this role at OVO if you…
- Have a quantitative background (degree or equivalent) and proven experience solving real-world problems in customer-centric businesses.
- Are highly numerate & analytic, able to delve into the details but able to zoom out to understand the strategic view.
- Are excited by the opportunity to apply Generative AI within analytical workflows to drive efficiency and unlock new insights.
- Have excellent presentation and communication skills - able to articulate results clearly and concisely to senior stakeholders, often using visualisation tools (Looker, Tableau, ThoughtSpot, etc).
- Have experience working with a range of datasets, including digital journeys data, customer data, demographics and other common sources used in customer analytics - ideally in the utilities or energy sector – and you enjoy joining the dots between business processes, customers journeys, datasets and products.
- Can create and interpret graphical representations of data and make recommendations.
- Statistical knowledge including basic experimental statistics, sampling principles, the meaning of significance, hypothesis testing and basic probability theory.
- You think about the customer first, so all your analysis and contributions to the product have a direct line with the customer experience.
- Have a proven track record of engagement with senior stakeholders in a fast-paced and data-driven environment; where prioritisation is essential.
- Have a demonstrated path toward more ownership, influence and leadership in data-driven projects.
- Think beyond the one-off report and enjoy building insights that last, and to make this happen you collaborate with Data Scientists and Engineers using common languages (SQL, Python) and version control tools, applying general software development principles.
Let’s talk about what’s in it for you. We’ll pay you between £62,000 and £70,000, depending on your specific skills and experience. If your expectations are a little different, have a chat with us! We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission. You’ll be eligible for an on-target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal.
We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO…and there’s flex pay. We’ll give you 9% Flex Pay on top of your salary – 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we’ve put at the heart of our offering, add to your pension or even take it as cash.
Here’s a taster of what’s on offer:
- For starters, you’ll get 34 days of holiday (including bank holidays).
- For your health: With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more.
- For your wellbeing: With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more.
- For your lifestyle: With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give-as-you-earn donations.
- For your home: Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers.
- For your commute: Nab a great deal on ultra-low emission car leasing, plus our cycle to work scheme and public transport season ticket loans.
Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know.
For your Belonging: To find better ways to support our people, we need to listen to each other’s experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It’s up to you.
Oh, and one last thing... We’d be thrilled if you tick off all our boxes, yet we also believe it’s just as important we tick off all of yours. And if you think you have most of what we’re looking for but not every single thing, go ahead and hit apply. We’d still love to hear from you!
If you have any additional requirements, there’s a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible.
Lead Data Analyst (Data & AI Platform) in Bristol employer: OVO Group
At OVO, we pride ourselves on being an exceptional employer that champions flexibility and inclusivity, with hub-based roles in vibrant cities like Bristol, Glasgow, and London. Our commitment to employee growth is evident through our diverse Belonging Networks and extensive benefits package, including generous holiday allowances and green initiatives, all aimed at fostering a collaborative and supportive work culture. Join us in making a meaningful impact on the climate crisis while enjoying a fulfilling career that values your unique contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst (Data & AI Platform) in Bristol
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Lead Data Analyst (Data & AI Platform) in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at OVO Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at OVO Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at OVO Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at OVO Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.