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For Companies At a Glance
- Tasks: Lead analytics strategy, turning complex data into actionable insights for smarter decisions.
- Company: Fast-growing, mission-driven tech company with a collaborative culture.
- Benefits: Competitive salary, personal development budget, private health insurance, and flexible remote work.
- Why this job: Own the analytics function and influence business strategy in a global tech environment.
- Qualifications: Strong SQL, data visualisation skills, and experience leading analytics initiatives.
- Other info: Unique opportunity to mentor and champion a data-driven culture.
The predicted salary is between 80000 - 90000 £ per year.
We are currently looking for a Lead Data Analyst to join our client’s fast-growing, collaborative, and mission-driven tech team. In this role, you’ll take ownership of their end-to-end analytics strategy, turning complex data into actionable insights that fuel smarter decisions across product, marketing, and business operations. You will lead initiatives that shape how data informs strategy, helping the business scale intelligently while continuing to innovate. As a Lead Data Analyst, you’ll design scalable data models, streamline pipelines, and empower teams with clear, visual insights. You’ll play a key role in defining what success looks like, ensuring the data tells a story that drives growth, product adoption, and customer engagement.
The Opportunity
- Designing and implementing a data strategy that enables business-wide visibility.
- Building and optimising data pipelines, models, and dashboards.
- Leading data storytelling, translating insights into actionable outcomes.
- Partnering with Product, Engineering, and Growth teams to define key metrics.
- Championing a data-driven culture and mentoring analysts or engineers as needed.
- Leveraging product and user data to guide decision-making and experimentation.
This is a unique opportunity to own the analytics function within a global, remote-first tech company, working at scale and influencing both business strategy and user experience.
What’s in it for you?
- Competitive salary (depending on location & experience)
- £2,500 annual personal development budget
- Private health insurance (country dependent)
- Fully remote, flexible working
- Enhanced parental leave
- Equipment & home office support
Skills and Experience
Must Have:
- Strong SQL and data modelling experience
- Advanced data visualisation skills (Tableau, Power BI or similar)
- Experience leading analytics or data initiatives end-to-end
- Proficiency in Python or similar for data manipulation
- Excellent communication and stakeholder management skills
Nice to Have:
- Experience with dbt or modern data stack tools
- Understanding of experimentation / A/B testing frameworks
- Familiarity with event-based data and product analytics
- Exposure to SaaS, cybersecurity, or e-learning environments
If you’d like to be considered for the Lead Data Analyst position and feel you’d be an ideal fit for our client’s innovative and collaborative team, please send your CV by clicking the Apply button below.
Analytics Lead in Manchester employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Lead in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data visualisation and analytics prowess. It’s a great way to demonstrate what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data strategy and storytelling. We want you to feel confident when discussing how you can drive growth and engagement!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Analytics Lead in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data Analyst. Highlight your SQL skills, data modelling experience, and any relevant projects that showcase your ability to turn complex data into actionable insights.
Showcase Your Data Visualisation Skills: Since advanced data visualisation is a must-have, include examples of dashboards or reports you've created using tools like Tableau or Power BI. This will help us see your ability to communicate data effectively.
Highlight Leadership Experience: We’re looking for someone who can lead analytics initiatives. Share any experiences where you’ve taken charge of projects or mentored others in data analysis. This will show us you’re ready to take ownership of our analytics strategy.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our mission-driven tech team.
How to prepare for a job interview at Data Science Festival
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and be ready to discuss specific data models you've designed or optimised. Be prepared to explain how your insights led to actionable outcomes, as this will showcase your ability to turn complex data into clear narratives.
✨Showcase Your Technical Skills
Make sure you can demonstrate your proficiency in SQL, Python, and data visualisation tools like Tableau or Power BI. Bring examples of dashboards or reports you've created, and be ready to discuss the thought process behind your design choices.
✨Communicate Clearly and Confidently
Practice explaining your analytical findings in a way that’s easy to understand for non-technical stakeholders. Use storytelling techniques to illustrate how your data-driven insights have influenced business decisions, as this will highlight your communication skills.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would approach specific analytics challenges or lead a project. Think about how you would partner with different teams, define key metrics, and champion a data-driven culture, as these are crucial aspects of the role.
