At a Glance
- Tasks: Lead a team to drive impactful data initiatives and develop analytics strategies.
- Company: CPS Group, a dynamic IT services company focused on innovation.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Other info: Join a collaborative environment with excellent career advancement opportunities.
- Why this job: Shape business strategy through data and lead a talented team in a hands-on role.
- Qualifications: Experience in data analytics, team leadership, and proficiency in Python and SQL.
The predicted salary is between 36000 - 60000 £ per year.
CPS Group are looking for an experienced Data & Analytics Manager to lead a team of three and drive high-impact data initiatives. This is a hands-on leadership role, blending people management with advanced technical delivery, working closely with senior stakeholders to shape business strategy through data.
Key Responsibilities
- Lead, mentor, and develop a team of three data analysts, fostering a high-performance culture.
- Translate business requirements into actionable analytics strategies and technical solutions.
- Build, maintain, and improve Python-based machine learning models, including those used for customer engagement predictions.
- Apply statistical methods and data mining to uncover insights and support decision-making.
- Recommend and implement the right analytics tools for the job.
- Manage and run A/B testing programmes to inform strategy.
- Deliver ad-hoc and large-scale analysis using Python, SQL, and Excel.
- Oversee the full lifecycle of data products, ensuring scalability and continuous improvement.
Qualifications
- Proven background in data and analytics, including recent experience leading and developing a team.
- Strong technical expertise in Python, SQL, and Excel.
- Solid grounding in statistical methods and machine learning techniques.
- Hands-on experience building and deploying machine learning models—be ready to talk about what you’ve built.
- Proficiency in A/B testing design, execution, and interpretation.
- Knowledge of a range of analytics tools, with the ability to advise on the best fit for specific projects.
- Excellent communication skills for engaging with senior stakeholders and presenting findings.
Data & Analytics Manager in Caerphilly employer: CPS Group (UK) Limited
CPS Group (UK) Limited is an excellent employer that fosters a collaborative work culture, where innovation and teamwork are at the forefront of our operations. Located in the picturesque town of Painswick, we offer our employees not only competitive benefits but also ample opportunities for professional growth and development within the dynamic fields of defence and medical devices. Join us to be part of a team that values your contributions and supports your career aspirations while working on cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Manager in Caerphilly
✨Network Like a Pro
Get out there and connect with people in the data and analytics field. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. We all know that sometimes it’s not just what you know, but who you know!
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share specific examples of your work with Python, SQL, and machine learning models. We want to hear about your successes and how you’ve driven results in previous roles.
✨Ask Smart Questions
During interviews, come prepared with insightful questions about the company’s data strategy and tools they use. This shows you’re genuinely interested and have done your homework. Plus, it gives you a chance to see if their approach aligns with your skills and interests.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data & Analytics Manager in Caerphilly
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data & Analytics Manager role. Highlight your leadership experience and technical expertise in Python, SQL, and Excel to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and analytics, and how your background makes you the perfect fit for leading our team. Be genuine and let your personality come through.
Showcase Your Projects:We love seeing what you've built! Include examples of machine learning models or analytics projects you've worked on. This gives us insight into your hands-on experience and problem-solving skills.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at CPS Group (UK) Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in the data projects you've worked on. Be ready to discuss specific Python-based machine learning models you've built, including their purpose and impact. This shows your hands-on experience and technical expertise.
✨Showcase Your Leadership Skills
As a Data & Analytics Manager, you'll be leading a team. Prepare examples of how you've mentored or developed team members in the past. Highlight your approach to fostering a high-performance culture and how you translate business requirements into actionable strategies.
✨Master A/B Testing
Since managing A/B testing programmes is key, brush up on your knowledge of design, execution, and interpretation. Be ready to share specific instances where your testing led to significant insights or changes in strategy.
✨Engage with Stakeholders
Excellent communication skills are crucial for this role. Practice explaining complex data concepts in simple terms. Think of examples where you've successfully engaged with senior stakeholders and how you presented your findings to influence decision-making.
