At a Glance
- Tasks: Lead data strategy and turn insights into impactful decisions for the organisation.
- Company: Join a forward-thinking company that values data-driven culture and innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on mentoring and empowering your team.
- Why this job: Shape the future of data strategy and make a real difference in decision-making.
- Qualifications: Experience in data analytics leadership and expertise in BI tools like Power BI.
The predicted salary is between 65000 - 65000 £ per year.
- Data & Insights Manager
- £65,000
- Hybrid – (Taunton x2 days/week)
This is an opportunity to step into a leadership role at the intersection of data strategy and real-world impact.
You'll shape how the organisation thinks, decides, and grows - turning complex data into clear direction for executive and board-level stakeholders.
Reporting into the Head of IT, you'll lead the Data & Insights function - owning the strategy, the team, and the output.
You'll partner closely with Finance, Operations, Marketing, HR, and the Executive Leadership Team to embed a data-driven culture across the organisation.
This isn't a hands-off management role.
You'll bring hypothesis-led thinking to executive conversations, challenge the technology that moves data around the business, and recommend what comes next - with the authority and experience to deliver it.
What you'll be doing
- Strategy & leadership
- Define and drive an enterprise-wide analytics strategy that aligns with business objectives.
- Establish and own Data Governance principles - quality, security, and compliance.
- Champion a culture of data-driven decision-making at executive and board level.
- Insight & storytelling
- Convert commercial insight into clear trading, product, and sales recommendations.
- Bring a hypothesis-led narrative to board-level conversations, backed by analysis that is thoughtful and actionable.
- Evolve the model that tracks the full value of marketing channels and programmatic strategies.
- Technology & platforms
- Continuously evolve the data infrastructure - challenging how data is harvested and distributed across the business.
- Lead on Power BI, Data Lakes, Lakehouse and Machine Learning capabilities.
- Stay ahead of emerging tools and technologies - and have the experience to deliver your recommendations.
- People & culture
- Lead, develop, and mentor a team of Data Analysts and Engineers.
- Empower your team to operate independently - you should never be the single point of failure.
- Build self-serve insight capability across Finance, Operations,
Marketing, and HR.
What we're looking for
Essential
- Demonstrable experience in data analytics or insights leadership.
- Experience developing, delivering, and embedding a clear enterprise-wide analytics and insights strategy that aligns with business objectives.
- Expert-level knowledge of BI and data visualisation platforms - Power BI, Tableau, Looker, or Qlik - including dashboard design, performance optimisation, and modelling best practices.
- Hands-on experience designing and implementing Power BI datasets, dashboards, and paginated reports.
- Proven track record delivering ETL pipelines, data warehousing, and modern visualisation platforms end-to-end.
- Strong commercial acumen - the ability to translate data into decisions that drive growth, not just reports.
- Strong communicator and influencer at all levels, from data engineers to board members.
Desirable
- A degree in Data Science, Business Analytics, Computer Science, Statistics, or a related field.
- Certifications such as CBIP or Microsoft Certified Power BI Data Analyst Associate are a bonus - but not a dealbreaker if your experience speaks for itself.
The kind of person who'll thrive here
You follow through.
You don't miss your own deadlines.
You push for clarity when things are vague and for progress when things stall.
You know how to get the most from a team without becoming their bottleneck - and you care about the quality of the work as much as the pace of it.
You're energetic, self-motivated, and comfortable operating at pace across multiple priorities.
Data and Insight Manager in Bath employer: Vocative
Vocative is an exceptional employer that fosters a collaborative and innovative work culture, ideal for a Senior Business Analyst looking to make a significant impact in the IT sector. With a hybrid working model based in picturesque Somerset, employees enjoy a balanced work-life dynamic while benefiting from continuous professional development opportunities and a supportive team environment. Join us to be part of a forward-thinking organisation that values your contributions and encourages growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Insight Manager in Bath
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vocative!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data and Insight Manager at Vocative.
✨Leverage Professional Networks
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 Vocative.
✨Apply Directly through Our Website
When you find a suitable opening like Data and Insight Manager at Vocative, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data and Insight Manager in Bath
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Vocative, 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 Vocative. 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 Vocative
✨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!
✨Showcase Your Projects
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 Vocative!
✨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.
