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For Companies At a Glance
- Tasks: Lead analytics for StoreSight and EPOS reporting, ensuring accuracy and alignment with client goals.
- Company: Join CPM, an award-winning company that values diversity and innovation.
- Benefits: Up to £45,000 salary, 26+ days leave, private medical insurance, and retail discounts.
- Why this job: Make a real impact with data insights in a collaborative and inclusive environment.
- Qualifications: Strong analytical skills, advanced SQL, and experience with Python or R.
- Other info: Flexible hybrid working and excellent career development opportunities.
The predicted salary is between 45000 - 45000 £ per year.
Ideal location: Stokenchurch, United Kingdom, HP17
Hybrid working: This role could be based in either Thame or Leeds (Flexible between CPM Head Office Thame/Leeds & Home)
About The Role
The Deployment Insight Manager plays a key role in delivering accurate, reliable and commercially relevant reporting and insight across Liquid clients. Acting as the analytical owner for StoreSight and EPOS-driven outputs, you will oversee the delivery of deployment insight while remaining hands-on with analysis and reporting. Working closely with the Liquid Analyst and Data Engineer, you will ensure data outputs are trusted, consistent and aligned with client objectives. This role combines senior analytical delivery with coordination and oversight, helping guide delivery quality and priorities across the analytics team without formal line management responsibilities.
What You’ll Do
- Own the delivery and quality of StoreSight and EPOS-driven reporting, ensuring outputs are accurate, consistent and aligned with client call files.
- Oversee the use of EPOS data across Liquid clients, working closely with the Data Engineer to ensure data is reliable and fit for insight generation.
- Manage delivery of ROI measurement and test vs control analysis, ensuring outputs are methodologically robust and commercially relevant.
- Maintain reporting standards, definitions and dashboards, ensuring outputs remain accurate, trusted and aligned with client objectives.
- Provide day-to-day oversight and coordination of the Liquid Analyst and Data Engineer to ensure high-quality, prioritised delivery.
- Work cross-functionally with analytics, engineering and shopt teams to align data sources, reporting outputs and deployment logic.
- Support integration of API and external data sources into StoreSight and reporting models.
- Translate complex analysis into clear, actionable insight for Insight Managers, Account Teams and clients.
- Respond to ad hoc analytical requests and support client reporting, planning cycles and QBR insight delivery.
- Identify opportunities to improve automation, efficiency and data quality across reporting processes.
Essential
What We’re Looking For
- Strong analytical experience working with large, multi-source datasets
- Advanced SQL skills for querying, joining and validating data
- Experience using Python or R for automation, transformation or analysis
- Experience working with EPOS, retail, SKU-level or field execution data
- Strong capability in Power BI reporting, including DAX measures
- High attention to detail with strong data quality control practices
- Confident communicator able to explain analytical outputs to non-technical stakeholders
- Strong organisation, prioritisation and problem-solving skills
Desirable
- Experience with StoreSight, shopt or similar CRM-scale datasets
- Exposure to deployment logic, segmentation or journey planning
- FMCG, retail or field sales analytics experience
- Experience adapting Python automation scripts
- Familiarity with version control tools such as Git
- Understanding of ROI measurement frameworks
What We Offer
- Salary up to £45,000 dependent on experience
- 26 days annual leave + bank holidays, increasing annually up to 31 days (pro rata)
- Life assurance (2x salary)
- Private Medical Insurance with Bupa
- Employer pension contribution
- Income protection
- Buy/sell holiday scheme
- Eyecare scheme (up to £80 per year)
- Retail discounts and promotions
- Reward and recognition programme
- Enhanced maternity and paternity leave
CPM have won the Investors in People Gold award and place great importance on the training and development of our people.
Why work for us
At CPM, we are proud to foster an inclusive work environment. We believe in a workplace that celebrates the unique perspectives and skills of all individuals believing this makes us stronger and more innovative. We work in a collaborative environment where great ideas and achievements are shared and celebrated. We believe diversity brings new thinking, which is at the heart of everything we do. We are working to set a standard for creating a culture of equity and belonging.
Deployment Analytics Lead - Hybrid, StoreSight & ROI in Stokenchurch employer: CPM UK
Contact Detail:
CPM UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deployment Analytics Lead - Hybrid, StoreSight & ROI in Stokenchurch
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your experience with data analysis and reporting to demonstrate your expertise.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you and fit your skill set, like the Deployment Analytics Lead position!
✨Tip Number 4
Follow up after interviews with a thank-you email. It shows your appreciation and keeps you fresh in their minds. Plus, it’s a great chance to reiterate your interest in the role!
We think you need these skills to ace Deployment Analytics Lead - Hybrid, StoreSight & ROI in Stokenchurch
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Deployment Analytics Lead role. Highlight your analytical experience, SQL skills, and any relevant projects that showcase your ability to work with large datasets. We want to see how you fit into our team!
Show Off Your Skills: Don’t hold back on showcasing your technical skills! If you've got experience with Python, R, or Power BI, make it clear in your application. We love seeing candidates who can translate complex data into actionable insights, so give us examples of how you've done this before.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use bullet points where possible to make your achievements stand out. We appreciate clarity, especially when it comes to explaining your analytical outputs to non-technical folks!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're keen on joining our team at CPM!
How to prepare for a job interview at CPM UK
✨Know Your Data Inside Out
As a Deployment Analytics Lead, you'll be working with large datasets and EPOS data. Make sure you brush up on your SQL skills and understand how to query and validate data effectively. Be prepared to discuss specific examples of how you've used data to drive insights in previous roles.
✨Showcase Your Analytical Skills
This role requires strong analytical experience, so come ready to demonstrate your proficiency in Python or R. Think of a project where you automated a process or transformed data for analysis, and be ready to explain your approach and the impact it had.
✨Communicate Clearly with Non-Technical Stakeholders
You'll need to translate complex analysis into actionable insights for various teams. Practice explaining your past analytical outputs in simple terms, focusing on how they benefited the business. This will show that you can bridge the gap between technical and non-technical audiences.
✨Be Ready to Discuss Reporting Standards
Since maintaining reporting standards is crucial, think about how you've ensured data quality and consistency in your previous roles. Be prepared to share your experiences with Power BI and any DAX measures you've implemented, as this will highlight your attention to detail and commitment to high-quality outputs.