At a Glance
- Tasks: Deliver high-quality marketing insights and translate complex data into clear recommendations.
- Company: Join Salocin Group, a leader in data and AI-enabled customer experiences.
- Benefits: Enjoy enhanced pension contributions, private healthcare, and a fun, supportive work environment.
- Other info: Embrace a hybrid working model in a diverse and inclusive workplace.
- Why this job: Make an impact by shaping client decisions with your analytical expertise.
- Qualifications: 3-5 years of experience in analytics, proficiency in GA4 or Adobe Analytics, and strong communication skills.
The predicted salary is between 45000 - 55000 £ per year.
Salocin Group is a leader in data and AI‑enabled connected customer experiences, with a collective of operational brands – Edit, Wood for Trees and Join the Dots – that specialise in helping organisations get their data and technology future‑ready, to win, grow and keep customers. With more than 25 years’ experience, Salocin Group offers strategic support in for‑profit and not‑for‑profit sectors, aiming to enhance customer relationship management and marketing, optimise operations and tech use, and adapt to an increasingly AI‑driven landscape.
Salocin Group is made up of three specialist brands: Wood for Trees optimises fundraising performance for charities by providing actionable insights and data systems for marketing and fundraising activities, as well as improving operational processes. Join the Dots is an independent media agency that helps clients with data‑driven media planning and targeted acquisition strategies. Salocin is a technology specialist who helps sales, service and marketing teams turn CRM, data and AI investments into commercial outcomes for B2B and B2C brands. We are headquartered in Bath and are partners with Microsoft, Apteco, Creatio and Salesforce. We are a B‑Corp certified business and a proud member of Ecologi.
Role Overview
The Analytics Manager delivers high‑quality marketing insight, measurement and attribution work across a portfolio of commercial and not‑for‑profit clients. It owns digital analytics delivery across a client portfolio, works closely with a marketing data analyst covering measurement strategy, attribution, campaign performance and reporting, and translates complex briefs into clear, confident recommendations that drive client decisions.
Responsibilities
- Present strategy, analytical findings and recommendations clearly and confidently to client stakeholders.
- Translate complex data outputs into compelling narratives using data‑storytelling techniques that drive client decisions.
- Build strong working relationships with client contacts, acting as a trusted analytical partner across your portfolio.
- Support the marketing data analyst and wider team in preparing client‑facing materials, proposals and presentations.
- Deliver analytical work across client digital analytics platforms (GA4, Adobe Analytics), including implementation reviews, measurement framework design and campaign performance analysis.
- Work with tag‑management systems (e.g., Google Tag Manager) to support tracking quality and data‑layer accuracy.
- Apply attribution thinking to digital marketing channels, helping clients understand what drives conversion.
- Contribute improvements to client analytics infrastructure, ensuring tracking is accurate, complete and privacy‑compliant.
- Embed best practices across the team in measurement, quality assurance and documentation.
- Engage with emerging analytics technologies and methods, helping shape the evolution of our digital analytics proposition.
Qualifications & Experience
- Present analytical insight to clients or senior stakeholders (3‑5 years demonstrable experience).
- Experience with marketing mix modelling or multi‑touch attribution methodologies.
- Experience working with web analytics data for commercial decision‑making.
- Proficiency in web analytics platforms such as GA4 or Adobe Analytics.
- Experience with tag‑management systems such as Google Tag Manager.
- Proficiency in programming languages such as SQL, Python and/or R.
- Strong written and verbal communication skills with an ability to make complex analysis understood.
Benefits
Our benefits include enhanced employer pension contributions, life assurance, wellness reward programmes, critical illness cover, private healthcare and many others. We embrace an environment that is fun, supportive and nurtures curiosity, and provide a hybrid flexible working environment for our people.
Equality, Diversity & Inclusion
We’re inclusive and actively celebrate diversity, so welcome all applications regardless of age, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief, marriage and civil partnerships or disability. If you require assistance at any stage to accommodate your needs, please let us know by dropping an email to people@salocin‑group.com.
Analytics Manager in Bath employer: Salocin Group
Salocin Group is an exceptional employer, offering a dynamic and inclusive work environment in the heart of Bath. With a strong focus on employee growth, we provide comprehensive benefits including enhanced pension contributions, private healthcare, and wellness programmes, all while fostering a culture that encourages curiosity and collaboration. Join us to be part of a B-Corp certified business that values diversity and empowers you to make a meaningful impact through data-driven insights.
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We think this is how you could land Analytics Manager in Bath
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We think you need these skills to ace Analytics 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!
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How to prepare for a job interview at Salocin Group
✨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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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 Salocin Group!
✨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.
