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- Tasks: Lead and evolve analytics capabilities in a tech-driven environment.
- Company: Innovative organisation focused on advanced technology and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of analytics and make a real impact on technology development.
- Qualifications: Strong background in data analysis, modelling, and leadership skills.
- Other info: Join a forward-thinking team with exciting projects and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We are recruiting for an experienced Data & Analytics Manager to lead and evolve an organisation’s analytics capability within a highly technical, innovation-focused environment. This is a strategic leadership role with real influence. You will shape how data science is applied across complex systems, drive performance improvements through advanced modelling, and support the development of next-generation technologies. You will collaborate with internal engineering teams, external partners, and academic institutions while building and mentoring a high-performing analytics function.
You will take ownership of end-to-end analytics delivery — from identifying opportunities and sourcing data through to modelling, simulation, deployment, and performance evaluation.
Key responsibilities include:
- Leading the identification and adoption of advanced data science and analytics capabilities to improve organisational performance.
- Overseeing the full lifecycle of analytics solutions, including development, validation, deployment, and monitoring.
- Providing expert guidance on complex analytical challenges, selecting appropriate data sources and modelling approaches.
- Leading large-scale data initiatives, including sourcing, preparing, validating, and exploiting internal and external datasets.
- Applying modelling and simulation techniques to generate theoretical performance predictions.
- Developing robust test methodologies to assess real-world system performance.
- Analysing measured outcomes and providing clear recommendations to inform design improvements.
- Designing and evaluating correlation, fusion, and rule-based logic algorithms to support performance assessment.
- Establishing and promoting data science standards, governance, and best practice.
- Supporting and developing data scientists through structured task definition, objective setting, and performance oversight.
- Working closely with cross-functional teams and external collaborators to ensure successful project delivery.
Skills & Experience
We are looking for a technically strong and commercially aware analytics leader with:
- A proven background in analysis, modelling, and simulation within technology-driven or security-focused environments.
- Strong experience applying statistical modelling techniques to complex, real-world datasets.
- Excellent proficiency in SQL, Python, R, VBA, and SAS.
- Experience managing data requirements, analytical workflows, and structured data models.
- The ability to communicate complex findings clearly and confidently to both technical and non-technical audiences.
- Demonstrated leadership capability, including overseeing analytical delivery and developing team members.
- A creative, inquisitive mindset with the confidence to challenge assumptions and propose innovative solutions.
Experience within advanced monitoring, aerospace, defence, or critical infrastructure environments would be advantageous but is not essential.
Why Apply?
This is a high-impact leadership role where you will shape analytics capability at an organisational level. You will work on technically challenging programmes, influence advanced technology development, and operate within a collaborative, forward-thinking team. If you are an experienced analytics leader looking for a role with real ownership and strategic influence, we would welcome your application.
Data Science and Analytics Manager in Reading employer: Technify Talent Limited
Contact Detail:
Technify Talent Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science and Analytics Manager in Reading
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. Attend industry meetups or webinars to meet new people and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects and analytics work. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in this role. We want you to shine!
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Science and Analytics Manager in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your background in data science, analytics, and leadership to show us you’re the perfect fit for this role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how your experience aligns with our needs. Share specific examples of your past achievements that demonstrate your ability to lead and innovate.
Showcase Your Technical Skills: Since we’re looking for someone with strong technical abilities, make sure to list your proficiency in SQL, Python, R, and other relevant tools clearly. We want to see how you’ve applied these skills in real-world scenarios.
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 don’t miss out on any important updates during the process.
How to prepare for a job interview at Technify Talent Limited
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data science and analytics. Be ready to discuss specific models you've used, the challenges you faced, and how you overcame them. This will show your technical prowess and ability to apply data science in real-world scenarios.
✨Showcase Your Leadership Skills
As a Data Science and Analytics Manager, leadership is key. Prepare examples of how you've led teams or projects, mentored colleagues, or influenced decision-making. Highlight your ability to communicate complex findings to both technical and non-technical audiences, as this is crucial for the role.
✨Familiarise Yourself with the Company’s Tech Stack
Research the tools and technologies the company uses, especially SQL, Python, R, VBA, and SAS. If possible, brush up on any specific frameworks or methodologies they employ. This shows your genuine interest in the role and your readiness to hit the ground running.
✨Prepare Thoughtful Questions
Interviews are a two-way street. Prepare insightful questions about the company's analytics strategy, team dynamics, and future projects. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career goals.