At a Glance
- Tasks: Analyse data to spot discrepancies and uncover revenue opportunities.
- Company: Leading tech firm in the UK with a focus on innovation.
- Benefits: Competitive salary, 30 days annual leave, flexible hours, and remote-first culture.
- Why this job: Join a dynamic team and make a real impact through data insights.
- Qualifications: Advanced SQL skills and experience with BI tools like Tableau and Power BI.
- Other info: Diverse team environment encouraging applications from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm in the UK is looking for an Affiliates Analyst to join their team. The successful candidate will analyze and reconcile data to identify discrepancies and revenue opportunities. This role requires advanced SQL skills and experience with BI tools like Tableau and Power BI.
Benefits include:
- Competitive salary
- 30 days annual leave
- Flexible working hours
- Remote-first environment
Applications are encouraged from all backgrounds to ensure a diverse team.
Affiliate Analytics & Insights Analyst employer: Pion
Contact Detail:
Pion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Affiliate Analytics & Insights Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! If you’ve got advanced SQL skills and experience with BI tools, create a portfolio showcasing your best work. This can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and insights. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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!
We think you need these skills to ace Affiliate Analytics & Insights Analyst
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your advanced SQL skills in your application. We want to see how you can use data to uncover insights, so don’t hold back on sharing specific examples of your work with SQL.
BI Tools are Your Best Friends: If you've got experience with BI tools like Tableau and Power BI, let us know! Include any projects where you’ve used these tools to analyse data or present findings, as this will really catch our eye.
Tailor Your Application: Take a moment to tailor your application to the role. We love seeing candidates who understand what we’re looking for, so make sure to connect your skills and experiences directly to the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Pion
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past roles, and maybe even tackle a few sample queries. This will show that you're not just familiar with SQL, but that you can apply it effectively in real-world scenarios.
✨Showcase Your BI Tool Experience
Since the role requires experience with BI tools like Tableau and Power BI, be ready to share specific examples of how you've used these tools to derive insights from data. Bring along any dashboards or reports you've created to demonstrate your capabilities.
✨Understand the Company’s Data Needs
Research the company and its affiliates to understand their data landscape. Knowing what kind of discrepancies they might face or revenue opportunities they could explore will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Prepare for Behavioural Questions
Expect some behavioural questions that assess how you handle challenges and work within a team. Use the STAR method (Situation, Task, Action, Result) to structure your responses, focusing on how your analytical skills have led to positive outcomes in previous roles.