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- Tasks: Join our D2C Marketing team as a Data Analyst and drive growth through data insights.
- Company: AJ Bell, a fast-growing investment platform with a collaborative culture.
- Benefits: Competitive salary, generous holiday, pension schemes, and personal development opportunities.
- Why this job: Make a real impact on marketing performance and customer acquisition in a dynamic environment.
- Qualifications: 2-3 years of experience in data analysis, strong SQL skills, and familiarity with marketing analytics.
- Other info: Join a friendly team at a FTSE 250 company with excellent career growth potential.
The predicted salary is between 45000 - 55000 £ per year.
We’re looking for a Data Analyst (Growth Marketing) to join our D2C Marketing team. The successful individual will accelerate the growth of our D2C business by delivering data-driven insights that enhance marketing performance, customer targeting and customer acquisition.
What you’ll be doing:
- The Data Analyst will play a key role in improving the efficiency and effectiveness of our acquisition marketing across paid channels, helping us to acquire higher-quality customers, improve LTV and optimise ROI.
- Sitting within the Customer Acquisition team, this role will provide analytical expertise to performance marketers, while working closely with internal Data teams and an external analytics agency to advance our measurement capabilities, modelling and reporting infrastructure.
- Working within a regulated financial services environment, this role ensures that data-driven recommendations align with compliance, risk, and governance standards, including consumer duty, and support and enable the business to deliver good outcomes for D2C customers.
Key Responsibilities:
- Performance Measurement & Optimisation: Support performance analysis across digital and offline acquisition channels (e.g. paid search, paid social, programmatic, affiliates, partnerships). Contribute to optimisation strategies through data-led recommendations and test results. Track and evaluate key metrics such as cost-per-acquisition (CPA), conversion rate, ROI, and customer lifetime value (CLV). Provide clear, actionable insights to improve CPA, ROI, conversion rates, new funded account growth and overall acquisition efficiency. Support development of measurement and modelling frameworks including: Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), Incrementality testing, LTV and Propensity modelling.
- Data Preparation & Reporting: Extract, transform, and validate data from multiple sources. Build and maintain automated dashboards and reports to monitor acquisition performance. Own weekly performance insights reporting and monthly deep dives to inform budget and optimisation decisions. Support data integrity by ensuring consistency, accuracy, and alignment with internal standards. Collaborate with data engineering and governance teams to maintain secure and compliant data environments. Conduct deep-dive analysis to uncover audience behaviours, segment performance, and channel synergies. Support the acquisition experimentation roadmap across channels, creative, messaging, landing pages and incentives. Partner with performance marketers and Product to define test hypotheses, success metrics, and measure impact to validate scale opportunities.
- Stakeholder Collaboration: Work closely with BI/Data Engineering to enhance data pipelines, tracking, event taxonomy and data structures that support accurate customer acquisition reporting. Work closely with marketing, finance, and digital teams to connect acquisition data with wider business outcomes. Translate technical findings into clear, actionable recommendations for non-technical audiences. Present insights through compelling visualisations and concise storytelling.
Skills and Competencies:
- 2-3 years’ experience as a Data Analyst or Marketing Analyst, ideally in financial services, fintech, or another regulated sector.
- Familiarity with Snowflake and Google Big Query and exposure to marketing mix modelling or attribution analysis.
- Strong SQL skills and experience working with large datasets.
- Experience using data visualisation tools (e.g., Power BI, Tableau, Looker).
- Hands‑on experience with digital marketing data sources (Google Ads, Meta Ads, GA4, CRM systems and CDP platforms).
- Working knowledge of Python or R for data analysis and automation.
- Knowledge of paid digital media, understanding of marketing analytics concepts (CPA, ROI, funnel analysis, attribution, CLV).
- Strong interest in AI and automation, with a desire to apply new technology to improve marketing performance and efficiency.
- Excellent communication skills, with the ability to explain complex data insights clearly.
- Excellent attention to detail.
- Project management and multi-tasking skills.
- Proactive self‑learner with a continuous improvement mindset.
About Us:
AJ Bell is one of the fastest-growing investment platform businesses in the UK offering an award‑winning range of solutions that caters for everyone, from professional financial advisers to DIY investors with little to no experience. We have over 644,000 customers using our award‑winning platform propositions to manage assets totalling more than £103.3 billion. Our customers trust us with their investments, and by continuously striving to make investing easier, we aim to help even more people take control of their financial futures. Having listed on the Main Market of the London Stock Exchange in December 2018, AJ Bell is now a FTSE 250 company. Headquartered in Manchester with offices in central London and Bristol, we now have over 1,500 employees and have been named one of the UK's 'Best 100 Companies to Work For’ for six consecutive years and in 2024 named a Great Place to Work®.
At AJ Bell you can expect a friendly working environment with a strong sense of teamwork, we have a great sense of pride in what we do, and this is reflected in our guiding principles.
What we offer:
- Starting salary of £45,000 - £55,000
- Starting holiday entitlement of 26 days, increasing up to 31 days with length of service and a holiday buy and sell scheme
- A choice of pension schemes with matched contributions up to 7%
- Discretionary bonus scheme
- Annual free share awards scheme
- Buy As You Earn (BAYE) Scheme
- Health Cash Plan – provided by Simply Health
- Discounted private healthcare scheme and dental plan
- Employee Assistance Programme
- Sick pay+ pledge
- Enhanced maternity, paternity, and shared parental leave
- Loans for travel season tickets
- Charitable giving opportunities through salary sacrifice
- Calendar of social events, including monthly payday drinks, annual Christmas party, summer party and much more
- Personal development programmes built around you and your career goals, including access to personal skills workshops
Data Analyst – Growth Marketing (D2C) employer: AJ Bell Management Limited
Contact Detail:
AJ Bell Management Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Growth Marketing (D2C)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real examples from your past experiences to demonstrate how you've used data to drive marketing performance.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you and fit your skill set – we’re always looking for talent!
✨Tip Number 4
Follow up after interviews with a thank-you note. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great chance to reiterate why you’d be a perfect fit for the team!
We think you need these skills to ace Data Analyst – Growth Marketing (D2C)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data analysis, marketing metrics, and any relevant tools like SQL or Google Big Query. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about growth marketing and how your analytical skills can help us improve our D2C business. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any projects that involved data visualisation or marketing analytics, make sure to mention them. We want to see your hands-on experience and how you've used data to drive decisions. Don't be shy about sharing your successes!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen and ready to join our awesome team at StudySmarter!
How to prepare for a job interview at AJ Bell Management Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in the key metrics mentioned in the job description, like CPA, ROI, and CLV. Brush up on your SQL skills and be ready to discuss how you've used data to drive marketing performance in previous roles.
✨Showcase Your Analytical Skills
Prepare examples of how you've contributed to performance measurement and optimisation in past positions. Be ready to explain your experience with tools like Snowflake, Google Big Query, and any data visualisation software you’ve used, such as Power BI or Tableau.
✨Communicate Clearly
Practice translating complex data insights into simple, actionable recommendations. You might be asked to present findings, so think about how you can use storytelling and visualisations to make your points clear and engaging.
✨Demonstrate Collaboration
Since this role involves working closely with various teams, prepare to discuss how you've successfully collaborated with others in the past. Highlight any experiences where you’ve worked with marketing, finance, or data engineering teams to achieve common goals.
