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- Tasks: Operationalise dashboards and produce insights for Marketing, Sales, and Finance.
- Company: Global digital services company with a multicultural team.
- Benefits: Flexible working, private healthcare, and competitive pension plan.
- Why this job: Join an exciting transformation program and make data-driven decisions.
- Qualifications: Strong skills in SQL, Python, R, and experience with Adobe Analytics.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
A global digital services company is hiring a Data Analyst to operationalise dashboards for Marketing, Sales, and Finance. This role requires strong technical skills in SQL, Python, and R, along with experience in Adobe Analytics and cloud environments.
Responsibilities include:
- Collaborating with BI
- Producing insights reports
- Ensuring data quality
The company offers flexible working, private healthcare, and a competitive pension plan, supporting a multicultural team in an exciting transformation program.
Data Analyst: Insights & Dashboards (Remote) employer: match digital.
Contact Detail:
match digital. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Insights & Dashboards (Remote)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data analytics. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with SQL, Python, and R. Include any dashboards or insights reports you've produced. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've tackled challenges in previous roles, especially around data quality and collaboration with BI teams.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Analyst: Insights & Dashboards (Remote)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in SQL, Python, and R right from the get-go. We want to see how you can operationalise dashboards and produce insights reports, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to customise your application for this role. Mention your experience with Adobe Analytics and cloud environments, as these are key to what we’re looking for. A tailored application shows us you’re genuinely interested!
Collaborate Like a Pro: Since collaboration with BI is part of the gig, share examples of how you've worked with teams in the past. We love seeing how you can contribute to a multicultural team and support our exciting transformation program.
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 fantastic opportunity. We can’t wait to hear from you!
How to prepare for a job interview at match digital.
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and R skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've turned data into actionable insights in previous roles. Think of examples where your analysis directly impacted marketing, sales, or finance decisions, and be ready to explain your thought process.
✨Familiarise Yourself with Adobe Analytics
Since this role involves working with Adobe Analytics, it’s a good idea to understand its key features and how they can be applied to dashboard creation. If you have experience with it, share specific instances where you’ve used it to drive results.
✨Collaborate and Communicate
This position requires collaboration with BI teams, so be prepared to discuss how you work with others. Highlight any experiences where teamwork led to successful project outcomes, and demonstrate your ability to communicate complex data insights clearly.
