At a Glance
- Tasks: Lead a dynamic analytics team and drive commercial growth through insightful data analysis.
- Company: Established UK business investing in data and digital transformation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional development.
- Other info: Collaborate with senior leadership and enjoy a flexible work environment.
- Why this job: Join at a pivotal moment to shape analytics and influence key business decisions.
- Qualifications: Experience in leading analysts and strong skills in SQL and BI tools.
The predicted salary is between 70000 - 85000 £ per year.
- Hybrid | Hampshire / South Central England (1-2 days per week)
- Drive Commercial Growth Through Insight
We're partnering with a large, well-established UK business that is investing heavily in data, digital transformation and marketing capability.
Following significant investment in its data platform, the business is looking for an experienced
Analytics Manager to lead a growing analytics function and help embed data-driven decision making across the organisation.
This is an opportunity to join at a pivotal point in the company's analytics journey, where you'll play a key role in transforming how marketing insight influences commercial decisions.
This is not a reporting-focused position. Instead, you'll combine hands-on analysis with leadership, helping move the business beyond dashboards towards meaningful commercial action.
The Role
Reporting into senior marketing leadership, you'll lead a small team while remaining hands-on with analysis, partnering closely with Marketing, Commercial, Digital, Finance and wider business stakeholders.
A dedicated BI function now owns data engineering, modelling and governance, allowing this team to focus on delivering insight that drives measurable business performance.
- You'll spend approximately
- 60% of your time delivering analysis and
40% leading and developing the team .
Responsibilities
- Lead and develop a high-performing Marketing Analytics team.
- Deliver commercially focused analysis across customer behaviour, marketing performance, promotions and revenue growth.
- Identify opportunities that improve customer engagement, commercial performance and marketing ROI.
- Build strong relationships across Marketing, Commercial, Finance, Digital and Operations.
- Translate complex analysis into clear, actionable recommendations for senior stakeholders.
- Develop KPI frameworks, dashboards and performance reporting that support business decision making.
- Champion experimentation and test-and-learn methodologies.
- Coach analysts to become commercially focused business partners rather than report producers.
- Help shape the future direction of the analytics function as the organisation continues its data transformation.
- We're Looking For
You'll be someone who enjoys solving business problems through data and can demonstrate how your analysis has genuinely influenced commercial decisions.
You'll ideally bring
- Experience leading or mentoring analysts within a commercial or customer-focused environment.
- Strong commercial awareness with examples of delivering measurable business impact.
- Experience analysing customer, campaign, promotional or commercial performance.
- Excellent stakeholder management and influencing skills.
- Strong SQL skills.
- Experience using Power BI, Tableau, Looker or similar BI tools.
- Confidence working with large datasets and translating findings into meaningful business recommendations.
- Strong presentation and data storytelling skills.
Experience with customer segmentation, marketing analytics, pricing, promotions, retention or customer insight would be highly beneficial.
What Success Looks Like
You'll be someone who can confidently demonstrate examples of
- Identifying commercial opportunities through analysis.
- Influencing stakeholders to take action.
- Measuring the commercial impact of your recommendations.
- Coaching analysts and improving team capability.
- Building trusted relationships across the business.
- Using data to improve customer and commercial outcomes.
Why Join?
- Join during a major investment in data and analytics.
- Shape how analytics supports commercial decision making.
- Lead a growing team while remaining hands-on.
- Work closely with senior leadership across Marketing and Commercial.
- Genuine opportunity to influence strategy rather than simply report on performance.
- Hybrid working with flexibility across multiple South Central office locations.
Analytics Manager in Southampton employer: SF Technology Partners
This company is an exceptional employer for a Staff Engineer, offering a unique opportunity to lead in AI innovation and product development while enjoying a healthy work-life balance through hybrid and flexible working arrangements. With a strong commitment to employee growth, including a well-structured training scheme and regular salary reviews, you will thrive in a collaborative and autonomous team culture that values your contributions and supports your professional journey. Located near Manchester, this PE-backed firm not only provides competitive salaries but also the chance to significantly benefit from the company's growth trajectory.
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We think this is how you could land Analytics Manager in Southampton
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We think you need these skills to ace Analytics Manager in Southampton
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SF Technology Partners. 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!
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✨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!
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