At a Glance
- Tasks: Transform data into impactful insights and support strategic decisions for clients.
- Company: Fast-growing data & AI consultancy based in Leeds with a collaborative culture.
- Benefits: Competitive salary, 10% bonus, hybrid work model, and career development opportunities.
- Other info: Opportunity to work with large datasets and enhance your analytical skills.
- Why this job: Join a dynamic team and make a real difference with your data skills.
- Qualifications: 1-4 years of data experience, strong coding skills in Python/SQL, and excellent communication.
The predicted salary is between 35000 - 50000 € per year.
Location: Leeds, Hybrid (2 days p/w in office)
Salary: £35,000-£50,000 + 10% Bonus
Impactive are delighted to be continuing our exclusive partnership with a fast-growing, data & AI consultancy based in Leeds, who are looking to hire 2x Data & Insight Analysts to join their expanding analytics team. This is a brilliant opportunity to work closely with customer, basket, and loyalty data to deliver high-impact insights that directly shape commercial and strategic decisions for clients.
You will have:
- A minimum of 1 year up to 3-4 years’ experience working with data (Retail or FMCG experience highly desirable)
- Hands-on experience extracting, manipulating, and working with large datasets
- A proven ability to translate complex data into clear, actionable insights and recommendations
- A self-motivated approach with strong communication skills and the ability to work effectively with stakeholders and wider teams
The role:
- Translating data into clear and coherent customer insights
- Storytelling insight outputs through well-structured slide decks with clear actions and recommendations for clients
- Support both tactical and strategic initiatives to help unlock value from client data
- Ensure high standards of data quality through strong QC and reconciliation processes
- Collaborate closely with internal teams, supporting on insight delivery and analytical work where required
Desired skills & experience:
- Strong coding skills in Python and/or SQL, with solid MS Excel capabilities
- Ability to extract data, generate insights, and present findings clearly in structured presentations
- Excellent communication and stakeholder management skills, both internally and externally
- Strong attention to detail with a proactive, problem-solving mindset
*THIS ROLE DOES NOT OFFER SPONSORSHIP & PLEASE ONLY APPLY IF YOU ARE HAPPY COMMUTING TO LEEDS*
Data & Insight Analyst x2 in Leeds employer: Impactive IT
Join a dynamic and fast-growing data & AI consultancy in Leeds, where you will thrive in a collaborative and innovative work culture. With a strong focus on employee development, you will have access to numerous growth opportunities while enjoying a hybrid working model that promotes work-life balance. The company offers competitive salaries, a generous bonus structure, and the chance to make a significant impact through your insights on client strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Insight Analyst x2 in Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees at the consultancy on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the interview by brushing up on your data storytelling skills. Practice explaining complex insights in simple terms, as this is key for the role. We want to see how you can make data relatable!
✨Tip Number 3
Show off your coding chops! Be ready to discuss your experience with Python and SQL during interviews. We love seeing candidates who can demonstrate their technical skills with real examples.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Data & Insight Analyst x2 in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data & Insight Analyst role. Highlight your experience with data, especially in retail or FMCG, and showcase your coding skills in Python and SQL. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've translated complex data into actionable insights and how you've collaborated with teams. Keep it engaging and relevant!
Showcase Your Communication Skills:Since strong communication is key for this role, make sure your application reflects that. Use clear and concise language, and structure your documents well. We want to see how you can present findings effectively, just like you would in a slide deck!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Impactive IT
✨Know Your Data
Before the interview, brush up on your data skills. Be ready to discuss your experience with large datasets, especially in retail or FMCG. Think of specific examples where you've extracted and manipulated data to derive insights.
✨Master the Art of Storytelling
Prepare to showcase how you can translate complex data into clear, actionable insights. Bring along a sample slide deck if possible, demonstrating your ability to present findings in a structured way that highlights key recommendations.
✨Communicate Like a Pro
Strong communication skills are crucial for this role. Practice explaining your past projects and insights to someone who isn’t familiar with data analysis. This will help you articulate your thoughts clearly during the interview.
✨Show Your Problem-Solving Skills
Be ready to discuss challenges you've faced in previous roles and how you overcame them. Highlight your proactive mindset and attention to detail, as these traits are essential for ensuring high standards of data quality.
