At a Glance
- Tasks: Deliver high-quality analytics and insights to support decision-making in data products.
- Company: Join RealityMine, a pioneer in data-driven insights for top global brands.
- Benefits: Enjoy 25 days paid holiday, life assurance, and a bonus scheme.
- Why this job: Make a real impact on data insights while working with innovative technologies.
- Qualifications: Strong SQL skills and experience with BI tools required.
- Other info: Flexible hybrid working model with excellent career growth opportunities.
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 part of our wider Data Operations strategy, we have Data Analysts embedded within specific business and product domains. These analysts focus on delivering high-quality analytics within Data Products, while remaining closely aligned with central Data Operations through shared standards, ways of working, and community practices. Data Products creates and maintains the processing pipelines that prepare raw data for the RealityMine warehouse, producing client-ready datasets for insight and analytics.
The Role: As a Data Analyst within Data Products, you will be focusing on analytics that directly supports decision-making in that area. While you will not report directly into Data Operations, you will be fully integrated into the Data Operations community, participating in stand-ups, knowledge sharing, and best-practice alignment. You will work closely with domain stakeholders to understand requirements, define meaningful metrics, and deliver insights through analysis, reporting, and dashboards. This role combines analytical rigour with strong stakeholder engagement and requires a proactive, independent approach to problem-solving. 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 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same!
Key Responsibilities:
- Deliver high-quality analytics to support decision-making within your domain.
- Work with stakeholders to scope analytical questions and define relevant metrics.
- Provide ad-hoc analysis and recurring reporting for business and, where relevant, client-facing use cases.
- Create and maintain dashboards and reports that clearly communicate insights and trends.
- Ensure analytics outputs align with central metric definitions, standards, and best practice.
- Identify opportunities to streamline, standardise, or automate analytics processes within your domain.
- Contribute to a consistent, data-driven culture across the business.
- Contribute to the maturation and development of Data Operations.
- Apply automation and AI-assisted tools where appropriate to improve delivery efficiency and the quality of analytical outputs.
- Use event-level and behavioural datasets to support product analytics use cases such as funnels, adoption, retention, and user journeys, validating outputs against data capture assumptions.
- Partner with Product, Engineering, and client-facing teams to refine event taxonomies, schemas, and metadata.
- Proactively identify and communicate data quality issues, limitations, or ambiguities, translating findings into clear, actionable insights and caveats.
- Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.
About You:
Here’s what we’re looking for:
- Strong experience using SQL to analyse and interrogate data.
- Experience building dashboards or reports using a BI or data visualisation tool (e.g. QuickSight, Power BI, Tableau, Looker).
- Solid analytical skills with the ability to turn data into clear, actionable insights.
- Confidence working with non-technical stakeholders to understand requirements and communicate findings.
- Ability to work independently, take ownership of problems, and manage competing priorities.
- Strong attention to detail and commitment to data accuracy and consistency.
- A proactive mindset, with an interest in improving how analytics is delivered and used.
- Confident validating data against expected capture behaviour and identifying gaps or inconsistencies.
- Comfortable working with Product, Engineering, and non-technical stakeholders to define, explain, and improve data outputs.
- Strong understanding of product analytics concepts, including funnels, adoption, retention, and user journeys.
- Experience working with event-level or behavioural datasets, such as in-app events or clickstream data is preferable.
Why Join RealityMine?
At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you’ll find a home here.
Your Benefits:
- 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 2 days working in our offices. 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 Data Analyst- Data Products 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 ‘Data Analyst- Data Products’ to recruitment@realitymine.com.
Data Analyst – Data Products in Stretford employer: RealityMine
Contact Detail:
RealityMine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Data Products in Stretford
✨Tip Number 1
Network like a pro! Reach out to current employees at RealityMine on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data visualisation tools. Be ready to discuss how you've used these in past projects. Show us you can turn data into actionable insights that align with what RealityMine is all about!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your ability to communicate with non-technical stakeholders. Share examples of how you've translated complex data findings into clear, actionable insights. We love candidates who can bridge that gap!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're genuinely interested in being part of the RealityMine team. Let’s get you on board!
We think you need these skills to ace Data Analyst – Data Products in Stretford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Analyst role. Highlight your SQL expertise, dashboard creation, and any relevant project work that showcases your analytical skills.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analytics and how you can contribute to our team. Mention specific projects or experiences that demonstrate your ability to turn data into actionable insights.
Showcase Your Analytical Mindset: In your application, give examples of how you've approached problem-solving in the past. We love candidates who can think critically and proactively identify opportunities for improvement in analytics processes.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at RealityMine
✨Know Your SQL Inside Out
Since strong experience using SQL is a must for this role, make sure you brush up on your SQL skills. Prepare to discuss specific queries you've written and how they helped solve real-world problems. Practising common SQL questions can give you the confidence to tackle any technical questions during the interview.
✨Showcase Your Dashboard Skills
Be ready to talk about your experience with BI tools like Power BI or Tableau. Bring examples of dashboards you've created and explain how they provided insights that influenced decision-making. This will demonstrate your ability to turn data into actionable insights, which is key for the role.
✨Engage with Stakeholders
This role requires strong communication with non-technical stakeholders. Prepare examples of how you've successfully gathered requirements and communicated findings in the past. Highlight your ability to translate complex data into clear insights that everyone can understand.
✨Emphasise Your Proactive Mindset
RealityMine values a proactive approach to problem-solving. Think of instances where you've identified issues or opportunities for improvement in analytics processes. Be ready to discuss how you took ownership of these situations and what impact your actions had on the team or project.