At a Glance
- Tasks: Lead a team of Data Analysts and deliver high-impact analytical work.
- Company: RealityMine, a pioneer in data-driven insights for top brands.
- Benefits: 25 days paid holiday, life assurance, bonus scheme, and training budget.
- Other info: Flexible hybrid working model with excellent career growth opportunities.
- Why this job: Shape the future of data insights with innovative AI tools.
- Qualifications: Strong analytics experience and leadership skills required.
The predicted salary is between 36000 - 60000 £ per year.
RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade. Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way. As an AI-driven business, we actively invest in automation and AI-enabled approaches to scale insight, improve efficiency, and unlock new value from our data. With ongoing business growth, we are evolving our Data Operations function to ensure analytical work continues to be delivered consistently, efficiently, and to a high standard across the business.
The Role
As Analytics Team Lead, you will own the execution, prioritisation, and quality of analytical work across RealityMine. This role is responsible for ensuring analytics requests from clients, internal stakeholders, and Data Operations initiatives are clearly scoped, prioritised appropriately, and delivered to a consistent and trusted standard. This is a hands‑on leadership role. Alongside leading and developing a team of Data Analysts, you will remain actively involved in delivery, working directly on complex or high‑impact analytical work where judgement, experience, and context matter most. You will act as the primary point of ownership for analytical delivery and work closely with leadership and colleagues in Data Operations and across the business, to ensure analytical outputs align with agreed metrics, standards, and long‑term strategy.
Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building a minimum of 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same!
Key Responsibilities
- Own the intake, scoping, prioritisation, and delivery of analytical work across clients, internal stakeholders, and Data Operations initiatives.
- Lead and develop a team of Data Analysts, while remaining hands‑on in the delivery of complex, high‑value analytical work.
- Translate ambiguous or open‑ended questions into well‑defined analytical problems with clear outputs, assumptions, and caveats.
- Ensure analytical outputs are consistent, well‑reasoned, and aligned with agreed business metrics and definitions.
- Act as a point of escalation for complex analytical questions, interpretation challenges, or conflicting conclusions.
- Work with peer Team Leads to identify analytical work that should be operationalised through dashboards, automation, or monitoring.
- Actively promote the use of automation and AI‑assisted tools to improve efficiency, reduce manual effort, and scale analytical delivery.
- Help embed an AI‑enabled mindset within analytics, encouraging experimentation while maintaining rigour and trust in outputs.
- Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.
About You
- Strong experience delivering analytics in a commercial or operational environment, including hands‑on analytical work.
- Proven ability to scope, prioritise, and deliver analytical work across multiple stakeholders and workstreams.
- Comfortable balancing people leadership with direct contribution to analytical delivery.
- Excellent analytical judgement, with confidence explaining assumptions, limitations, and trade‑offs.
- Experience leading or mentoring analysts, with a focus on quality, consistency, and professional development.
- Confident working with both technical and non‑technical stakeholders, including client‑facing teams.
- Curious and proactive in adopting AI‑assisted tools and automation to improve the speed, quality, and scalability of analytics.
Why Join RealityMine?
- Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave.
- Peace of Mind: Life assurance and a workplace pension with employer contributions.
- Reward for Performance: Bonus scheme that recognizes your hard work and contributions.
- Cycle to Work Scheme: For the cyclists among us, we've got you covered.
- Gear You’ll Love: Choose the tech that works for you, we'll try and source it!
- Learning & Growth: Benefit from one‑to‑one coaching, a budget for training programs, and all the support you need to keep growing.
- Giving Back: Join us in supporting local charities and making a positive impact.
Hybrid Working
We know work‑life balance matters, so we’ve embraced a flexible hybrid working model: Located in Trafford Park, our Manchester office offers an inspiring, collaborative space to work alongside your colleagues. Free parking and secure bike shed. Excellent public transport links. Split your time between the office and home, with a minimum of 2 days working in our office. Full equipment provided for home working (desk, screen, chair). Receive £100 annually to personalise your home workspace. Flexible start and finish times to suit your personal circumstances.
If you’re a Analytics Team Lead professional excited to work on impactful projects and shape the future of data insights, we’d love to hear from you. Please email your CV with the heading ‘Analytics Team Lead’ to recruitment@realitymine.com
Analytics Team Lead Data Operations in Stretford employer: RealityMine
RealityMine is an exceptional employer, offering a dynamic work environment in Trafford Park, Manchester, where collaboration and innovation thrive. With a strong focus on employee growth, we provide opportunities for professional development while maintaining a flexible hybrid working model that supports work-life balance. Our commitment to a supportive culture, combined with the chance to work on cutting-edge data capture technologies, makes RealityMine a rewarding place to advance your career as an Operations Engineer.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Team Lead Data Operations in Stretford
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like RealityMine.
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We think you need these skills to ace Analytics Team Lead Data Operations in Stretford
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!
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Craft a Tailored Cover Letter:For a full-time role at RealityMine, 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 RealityMine. 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 RealityMine
✨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!
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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 RealityMine!
✨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.
