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- Tasks: Analyse data to drive customer insights and improve business outcomes.
- Company: Join a forward-thinking company focused on customer engagement and growth.
- Benefits: Competitive salary, generous holiday, health plans, and flexible working options.
- Other info: Collaborative environment with opportunities for professional development and career growth.
- Why this job: Make a real impact by transforming data into actionable insights for customers.
- Qualifications: Quantitative background with strong analytical and SQL skills required.
The predicted salary is between 50000 - 60000 ÂŁ per year.
OVO-View Team: CRM, within Growth Team
Salary banding: ÂŁ50,000 - ÂŁ60,000
Experience: Mid-Level/Senior
Working pattern: Full-Time
Reporting to: David Walker, Head of CRM
Sponsorship: Unfortunately we are unable to offer sponsorship for this role.
Location: Bristol, Glasgow, London (hub-based) with flexibility to work from home.
About the role
The CRM team handles customer communications across all areas of the business and focuses on using customer insights to drive actionable opportunities. You will get familiar with data across the commercial sector and always be driving to answer the question: how can we best meet our customers' needs? You will support appointment bookings, retention, product take‑up and engagement targets through analytics and automation.
Your key outcomes will be:
- Demonstrate a clear understanding of the customer and commercial objectives within CRM, proactively recommending actionable insights to improve outcomes.
- Generate analysis and reporting to drive data‑driven decisions across CRM and commercial, helping to discover actionable plans.
- Promote best practices and ethical data protection and compliance in all activities.
- Develop a deep understanding of business processes and data sources, agree best sources for accuracy, proactively using them to generate recommendations; interrogate data sources, code libraries, and analytical products to ensure alignment and accuracy across domain.
- Actively participate in CRM conversations, interrogating approaches, suggesting tests, and ensuring data consistency and accuracy is considered in all stages.
- Collaborate with analysts, data scientists, marketing managers and commercial leads on relevant ML models, data artifacts, and analytical products.
- Encourage data‑driven decision making: provide ad‑hoc performance reporting, identifying opportunities, and testing outcomes in CRM activities.
- Cross‑functional collaboration: establish strong relationships with stakeholders to identify data impacts from broader business activities.
Qualifications
- Have a quantitative background (degree or equivalent) and proven experience solving complex problems with a customer‑centric focus.
- Excellent presentation and communication skills – able to articulate complex results to non‑technical audiences using visualisation software such as Looker and Tableau.
- Statistical knowledge including basic experimental statistics, sampling principles, the meaning of significance, and A/B testing.
- Analytical Translator: comfortable operating as the core data expert embedded within a commercially‑focused team and translating non‑technical business problems into clear, actionable analytical briefs.
- Strong SQL and code interrogation skills.
- Problem solver: keep focused on the target while maintaining awareness of external and internal influences to identify the real issues and opportunities.
- High attention to detail: ready to question analytical briefs, drive towards the decisions needing to be made, and identify details that make a difference.
- Thrive on working with people internal and external to your team with various levels of seniority.
- Self‑starter who can take action to deliver against a clear objective.
- Experience with the Google tech stack and GitHub.
Salary & Benefits
Salary: £50,000 – £60,000 (depending on skills and experience) with an on‑target bonus of up to 15%.
9% Flex Pay on top of the salary – 4% auto‑enrolled to your pension and 5% for flexible benefits, additional pension or cash.
34 days holiday plus bank holidays.
Health cash plan or private medical insurance, critical illness cover, life assurance, health assessments.
Gym membership, travel insurance, workplace ISA, will writing services, dental insurance.
Extra holiday buying, discount dining, home & tech loans, donations to charities.
Solar, smart thermostat and EV charger discounts, low emission car lease, cycle‑to‑work scheme, public transport season‑ticket loans.
Senior Data Analyst (12 Months Fixed Term) employer: OVO
Contact Detail:
OVO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst (12 Months Fixed Term)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at OVO. A friendly chat can sometimes lead to insider info or even a referral, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your analytical prowess and how you've used data to drive decisions. This will help you stand out during interviews and demonstrate your value to the team.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data analysis and CRM. Mock interviews with friends or using online resources can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the OVO team and ready to dive into the CRM world.
We think you need these skills to ace Senior Data Analyst (12 Months Fixed Term)
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with SQL and data analysis in your application. We want to see how you've tackled complex problems and used data to drive decisions, so don’t hold back on those examples!
Be Customer-Centric: Since this role is all about understanding customer needs, share specific instances where you've used data insights to improve customer experiences. We love seeing how you can translate data into actionable recommendations!
Keep It Clear and Concise: When writing your application, aim for clarity. Use straightforward language to explain your achievements and skills. Remember, we’re looking for someone who can communicate complex results to non-technical audiences, so show us you can do that right from the start!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at OVO
✨Know Your Data Inside Out
Make sure you’re well-versed in the data landscape relevant to the role. Brush up on your SQL skills and be ready to discuss how you've used data to drive customer insights in previous roles. Being able to articulate your analytical process will impress the interviewers.
✨Showcase Your Communication Skills
Since you'll need to present complex data to non-technical audiences, practice explaining your past projects in simple terms. Use visualisation tools like Looker or Tableau to demonstrate how you can make data accessible and actionable for different stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or analyse case studies. Think about how you would approach a CRM challenge, what data sources you’d use, and how you’d ensure accuracy. This shows your problem-solving skills and your ability to think critically under pressure.
✨Emphasise Collaboration and Stakeholder Engagement
Highlight your experience working with cross-functional teams. Be ready to share examples of how you’ve built relationships with marketing managers or data scientists to achieve common goals. This will demonstrate your ability to thrive in a collaborative environment, which is key for this role.