At a Glance
- Tasks: Lead a team to shape data strategies for customer acquisition and retention.
- Company: Established B2B organisation investing in data and analytics for growth.
- Benefits: Competitive salary, performance bonus, fully remote work, and career development.
- Other info: High visibility with senior leadership and opportunities for professional growth.
- Why this job: Make a real impact by influencing marketing strategies with data insights.
- Qualifications: Strong experience in marketing analytics, team leadership, and advanced SQL skills.
The predicted salary is between 90000 - 110000 £ per year.
A high-impact leadership opportunity to shape how a growing B2B business uses data to drive customer acquisition, retention, and commercial growth. You'll lead the analytics function, develop a team, and provide the insights that influence marketing and business strategy.
The Company: They are a well-established, multi-service organisation operating across several commercial sectors. Following significant growth and expansion, they are investing heavily in data and analytics to improve customer targeting, campaign performance, and decision-making across the business.
The Role:
- Lead and develop a team of analysts
- Define the marketing analytics and customer insight strategy
- Build customer segmentation and targeting models
- Deliver actionable insights across email, telemarketing, and wider marketing activity
- Identify cross-sell, upsell, and growth opportunities from customer data
- Develop reporting and dashboards using Power BI
- Use SQL to analyse customer, campaign, and operational performance
- Partner with senior stakeholders to influence commercial decisions
Your Skills & Experience:
- Strong marketing analytics and customer insight experience
- Team leadership and stakeholder management experience
- Advanced SQL and Power BI skills
- Expertise in segmentation, targeting, and campaign analysis
- Ability to translate data into clear commercial recommendations
- Experience within B2B, lead generation, sales, or telemarketing environments is advantageous
What They Offer:
- £90,000 - £110,000 base salary
- Performance-related bonus
- Fully remote working after onboarding
- Opportunity to shape and grow an analytics function
- High visibility with senior leadership
- Strong benefits package and career development opportunities
How to Apply: Apply today to learn more about this Head of Data Analytics opportunity.
Locations
Head of Data & Analytics in Hampshire, Portsmouth employer: Harnham
As a leading multi-service organisation, this company offers an exceptional work environment for the Head of Data & Analytics role, with a strong focus on employee growth and development. Enjoy the flexibility of fully remote working while being part of a high-impact team that drives strategic decisions through data insights. With competitive salaries, performance-related bonuses, and a commitment to shaping the analytics function, this is an ideal opportunity for those looking to make a meaningful impact in a dynamic B2B landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data & Analytics in Hampshire, Portsmouth
✨Get Involved in Data Science Meetups
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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 Harnham.
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We think you need these skills to ace Head of Data & Analytics in Hampshire, Portsmouth
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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
