At a Glance
- Tasks: Dive into user data, optimise trials, and collaborate on product strategies.
- Company: Join a dynamic subscription business focused on data-driven decisions.
- Benefits: Enjoy a £45,000 salary, remote work, and a strong learning culture.
- Other info: Be part of a growing team with opportunities for internal progression.
- Why this job: Make a real impact in a collaborative team while shaping product direction.
- Qualifications: Strong SQL skills and experience in digital product analysis required.
The predicted salary is between 36000 - 54000 £ per year.
DATA ANALYST - SUBSCRIPTION PRODUCT
£45,000 + STRONG L&D CULTURE
REMOTE-FIRST | LONDON HQ
A data-driven subscription business is looking for a curious and proactive Data Analyst to join their growing analytics function. You\'ll work as the embedded analyst within a cross-functional product tribe, collaborating closely with product managers, designers, and engineers to drive strategic decisions across user engagement and retention.
This is a remote-first company, but you\'ll be asked to attend occasional team days in the London office (roughly once every 2-3 months).
THE ROLE
Reporting into the Head of Data Science & Insights, you\'ll be the go-to analyst for your product tribe. This isn\'t a role where you\'ll be working off a backlog of stakeholder tickets - they\'re looking for someone who\'s naturally curious, confident in owning their analysis roadmap, and keen to surface ideas that lead to real business impact.
Your day-to-day will include:
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Deep-diving into user data to optimise free trial performance and early-stage user journeys
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Designing and analysing A/B tests to inform product development
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Building and maintaining DBT pipelines and ensuring data models are fit for purpose
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Collaborating with engineers to ensure Snowplow tracking is implemented correctly
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Partnering across product, engineering, and design to identify and drive opportunities
YOUR SKILLS
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Strong SQL skills - you\'ll be writing it every day
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A background in data analysis within a digital product environment
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Experience with experimentation (A/B testing) is a strong plus
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Experience with subscriptions or optimising user onboarding would be highly desirable
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Python skills are a nice-to-have, but not essential
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A self-starter mindset and comfortable working autonomously within a tribe model
WHAT YOU\'LL GET
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£45,000 base salary
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Excellent learning and development budget with protected time for upskilling
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Internal progression programmes and support
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Remote-first culture with flexible working
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Collaborative, high-impact team working on meaningful product challenges
PROCESS
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Introductory interview with the hiring manager
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Light case study (no data, focused on approach)
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Technical interview with two team members
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Culture interview with a stakeholder from another function
This team is in early stages of hiring, so you\'ll be getting in at the ground level with no one else currently in process.
If you\'re a data analyst looking for a strategic role within a collaborative product environment - and you want to work where your ideas genuinely shape direction - this could be the right move.
Data Analyst (Subscriptions) in Worcester employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Subscriptions) in Worcester
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We think you need these skills to ace Data Analyst (Subscriptions) in Worcester
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.
