At a Glance
- Tasks: Transform complex data into actionable insights that drive product and business decisions.
- Company: Join a dynamic analytics team at a leading SaaS company.
- Benefits: Competitive salary, remote work options, generous leave, and health benefits.
- Other info: Mentorship opportunities and a culture of evidence-based decision making await you.
- Why this job: Make a real impact by shaping strategies and enhancing member experiences through data.
- Qualifications: Experience in analytics, strong SQL skills, and a knack for data storytelling.
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 in Leicester 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 the member experience. We offer a competitive salary, flexible working options, and a strong focus on employee growth through learning and development opportunities, all within a collaborative and innovative work culture. With access to co-working spaces across the UK and a commitment to evidence-based decision making, this role provides a unique chance to make a meaningful impact in a high-growth environment.
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We think this is how you could land Senior Data Analyst in Leicester
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We think you need these skills to ace Senior Data Analyst in Leicester
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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✨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!
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✨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.
