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- Tasks: Design and build data structures that fuel commercial growth and develop predictive insights.
- Company: A dynamic, data-driven company based in Manchester.
- Benefits: Flexible workplace, private medical insurance, and a bonus structure.
- Why this job: Join a team where your insights drive real business decisions and growth.
- Qualifications: Strong SQL and Python skills, plus experience with data visualisation tools.
- Other info: Exciting opportunity for career advancement in a fast-paced environment.
The predicted salary is between 28800 - 48000 £ per year.
A growing data-driven company is seeking an Analytics Engineer to join their team in Manchester. The successful candidate will design, build, and maintain data structures that power commercial growth, along with developing data models and predictive insights.
The role requires strong SQL and Python skills, as well as experience in data visualisation tools. The ideal candidate will excel in translating business needs into actionable insights, ensuring high data quality standards, and driving data-driven decision making.
Benefits include a flexible workplace, private medical insurance, and a bonus structure.
Commercial Analytics Engineer — AI‑Driven Data & Insight in Manchester employer: Adanola
Contact Detail:
Adanola Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Analytics Engineer — AI‑Driven Data & Insight in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, along with any data visualisation work you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics questions and case studies. Practice explaining how you've translated business needs into actionable insights in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates like you. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Commercial Analytics Engineer — AI‑Driven Data & Insight in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as any experience with data visualisation tools. We want to see how your background aligns with the role of an Analytics Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data and how you can contribute to our commercial growth. Be specific about your experience in translating business needs into actionable insights – we love a good story!
Showcase Your Problem-Solving Skills: In your application, highlight examples where you've tackled complex data challenges. We’re looking for someone who can drive data-driven decision making, so let us know how you’ve done this in the past!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture!
How to prepare for a job interview at Adanola
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages, and think about how you can demonstrate your problem-solving abilities with real-world examples.
✨Showcase Your Data Visualisation Skills
Familiarise yourself with popular data visualisation tools and be ready to talk about how you've used them to create impactful insights. Bring along a portfolio or examples of your work to illustrate your experience and creativity in presenting data.
✨Translate Business Needs into Insights
Think about how you've previously translated business requirements into actionable insights. Prepare to discuss a scenario where your analysis led to a significant decision or change, highlighting your ability to connect data with business strategy.
✨Emphasise Data Quality Standards
Be ready to discuss your approach to ensuring high data quality standards. Share any methodologies or best practices you've implemented in past roles, as this will show your commitment to delivering reliable and accurate data for decision-making.
