At a Glance
- Tasks: Lead a team to deliver insights and improve client experiences across digital platforms.
- Company: Dynamic company in Bristol with a focus on digital innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for career development.
- Other info: Flexible working schedule with a supportive culture for growth.
- Why this job: Make a real impact by driving data-driven decisions in a collaborative environment.
- Qualifications: Experience in leading analytics teams and strong skills in SQL and Python.
Location: Bristol (BS1) – Hybrid flexible working
About the Role
We are looking for a Digital Analytics Lead to head up our Digital Analytics squad, enabling the business to understand, measure, and improve client experiences and commercial outcomes across digital and non-digital touchpoints. You will partner closely with journey tribes, Product, Digital, and Marketing teams to deliver insights, measurement frameworks, and actionable analysis that drive better decision-making.
Key Responsibilities
- Lead the Digital Analytics team to deliver consistent, high-quality insights across digital journeys, marketing activity, and wider client touchpoints.
- Own digital measurement strategy, including event design, tagging frameworks, data quality standards, and governance across web, app, and adjacent platforms.
- Deliver dashboards and data products that enable self-service analytics for journey tribes and stakeholders, reducing reliance on ad-hoc analysis.
- Own analytics implementation and configuration across core tools (e.g., Snowflake, Amplitude Analytics, Qualtrics) and partner with Data Engineering.
- Coach and develop the Digital Analytics team, setting clear standards and supporting career progression.
- Ensure analytics practices align with architectural, security, and regulatory standards within a regulated environment.
About You
- Proven experience leading a Digital Analytics team, setting a clear vision and driving demonstrable improvements in capability and stakeholder impact.
- Strong hands-on and strategic experience with classical analysis approaches (Advanced SQL, Python) and modern product analytics platforms like Amplitude Analytics, web/app stacks, and Qualtrics.
- Deep expertise in event-based measurement, tracking plans, data layers, and tagging strategies across web and app environments.
- Strong ability to perform and guide complex analysis for conversion rate optimisation (CRO) and commercial outcomes.
- Experience using data management tools such as Informatica, Collibra, or Precisely.
Interview Process & Working Schedule
The interview process consists of two stages, including technical competency-based questions and a scenario task. Based at our Bristol head office with a hybrid flexible working pattern (2 days onsite pw).
Digital Analytics Lead in Bristol employer: SJIT
Join a forward-thinking company in Bristol as a Data Activation Lead, where you will thrive in a collaborative and innovative work culture. With a competitive salary, up to 15% bonus, and a comprehensive benefits package, we prioritise employee growth and development while embracing hybrid working arrangements. Our commitment to data accuracy and quality ensures that you will play a vital role in shaping our digital analytics landscape, making this an exciting opportunity for those passionate about data-driven insights.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analytics Lead in Bristol
✨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 SJIT!
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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 SJIT.
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We think you need these skills to ace Digital Analytics Lead in Bristol
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 SJIT, 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 SJIT. 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 SJIT
✨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 SJIT!
✨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.
