At a Glance
- Tasks: Transform complex data into clear insights that drive strategy and enhance member experience.
- Company: Join a dynamic analytics team at a leading SaaS company.
- Benefits: Competitive salary, remote work options, generous leave, and health benefits.
- Other info: Opportunity for career growth and mentorship in a collaborative environment.
- Why this job: Make a real impact by guiding product decisions with data-driven insights.
- Qualifications: Experience in analytics, strong SQL skills, and excellent communication abilities.
The predicted salary is between 34000 - 50000 £ per year.
About the Role
We\'re looking for a Senior Data Analyst to join our growing analytics team. In this role, you\'ll turn complex data into clear insights that guide strategy, shape product decisions, and enhance the member experience. You\'ll work closely with product, engineering, and business teams to uncover opportunities, measure impact, and drive growth through data-led decision making.
Responsibilities
- Generate actionable insights on member retention, churn, engagement, and lifetime value to identify opportunities for improving the customer journey.
- Translate findings into clear recommendations that influence product, marketing, and business decisions.
- Evaluate and prioritise analytics requests, focusing on projects with the greatest strategic impact.
- Partner with product and engineering teams to ensure accurate event tracking, data capture, and measurement of new features.
- Use SQL, dbt, and other tools to extract, model, and validate data from multiple sources.
- Lead the design, execution, and interpretation of experiments and A/B tests, ensuring statistical rigour and reliable conclusions.
- Develop and maintain dashboards, reports, and automated analytics processes that make insights easily accessible to stakeholders.
- Present complex data and findings in clear, visual formats that communicate key messages and support informed decisions.
- Collaborate across teams to promote a culture of evidence-based decision making and challenge assumptions with objective analysis.
- Mentor and support other analysts and team members, sharing best practices in SQL, experimentation, and data storytelling.
- Drive improvements in data quality, consistency, and accessibility across the business.
What We\'re Looking For
- Proven experience in product, customer, or member analytics, ideally within SaaS, subscription, marketplace, or platform-based businesses.
- Advanced SQL skills and familiarity with data transformation or modelling tools such as dbt.
- Strong understanding of statistics and experimentation methods, including hypothesis design and regression analysis.
- Experience using BI and visualisation tools such as Looker, Tableau, Power BI, or Mode.
- Knowledge of event tracking tools and customer data platforms (e.g., Amplitude, Mixpanel, Segment).
- Excellent communication and data storytelling skills with the ability to influence non-technical audiences.
- A proactive, curious mindset with the ability to work independently and balance short-term delivery with long-term goals.
Nice to Have
- Experience using Python or R for analytics or automation.
- Familiarity with cloud data platforms such as Snowflake, BigQuery, or Redshift.
- Experience in a scale-up or high-growth environment.
What We Offer
- Competitive salary (£40,000–£50,000, depending on experience)
- Annual performance-based bonus
- Fully remote or hybrid working options
- 25 days annual leave plus bank holidays
- Company pension scheme
- Health and dental insurance
- Learning and development budget
- Access to co-working spaces across the UK
- MacBook and home office allowance
Job Types: Full-time, Permanent
Pay: £45,000.00-£60,000.00 per year
Benefits:
- Bereavement leave
- Company events
- Company pension
- Free parking
- Health & wellbeing programme
- On-site parking
- Paid volunteer time
- Sick pay
- Store discount
Ability to commute/relocate:
- Leicester LE19 1WP: reliably commute or plan to relocate before starting work (preferred)
Education:
- Bachelor\'s (preferred)
Work authorisation:
- United Kingdom (preferred)
Work Location: In person
Senior Data Analyst employer: SA EDGE SOLUTIONS LTD
Join our dynamic analytics team as a Senior Data Analyst, where you'll transform complex data into actionable insights that drive strategic decisions and enhance member experiences. We offer a competitive salary, flexible working options, and a strong focus on employee growth through learning and development opportunities, all within a supportive culture that values collaboration and evidence-based decision making. With access to co-working spaces and a comprehensive benefits package, including health insurance and a pension scheme, this role in Leicester promises a rewarding and fulfilling career path.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨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 SA EDGE SOLUTIONS LTD!
✨Show Off Your Projects
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✨Leverage Professional Networks
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 SA EDGE SOLUTIONS LTD.
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We think you need these skills to ace Senior Data Analyst
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 SA EDGE SOLUTIONS LTD, 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 SA EDGE SOLUTIONS LTD. 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 SA EDGE SOLUTIONS LTD
✨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 SA EDGE SOLUTIONS LTD!
✨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.
