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- Tasks: Support dashboard operations across Marketing, Sales, and Finance for a global brand.
- Company: Join a global, multicultural team transforming customer experiences.
- Benefits: Flexible working, private healthcare, competitive pension, and 26 days holiday.
- Why this job: Make an impact with data analysis in a fast-paced, innovative environment.
- Qualifications: Proficient in SQL, Python, R, and experienced with digital tools like Adobe Analytics.
- Other info: Great career development opportunities in a dynamic, global setting.
The predicted salary is between 36000 - 60000 £ per year.
We are hiring for a Data Analyst to support with the operationalisation of dashboards across Marketing, Sales and Finance functions for a global brand.
To apply, you should have strong technical skills in SQL, Python, R, and data mining, experience with digital tools such as Adobe Analytics, and experience with cloud and Big Data environments.
Responsibilities:
- Collaborate with Business Intelligence and Data Visualisation functions, assisting with the advancement of dashboards across multiple facets of the business.
- Perform analysis and deep-dive studies for questions related to dashboard users.
- Produce monthly insights reports.
- Analyse and map online and offline data sets to test correlations.
- Perform data quality analysis and corrective actions, enhancing the reliability of dashboards.
Qualifications:
- Proficiency in SQL, Python, R, and data mining.
- Experience with digital tools, such as Adobe Analytics.
- Comfortable working with large sets of data.
- Experience with cloud and Big Data environments, clickstream data, and qualitative/quantitative research projects.
- The ability to work in a fast-paced, global environment.
Benefits:
- The chance to develop your career with a global, multicultural team working on a fascinating customer experience transformation programme.
- A flexible working environment and the ability to work from home/flexible hours.
- Private healthcare and private dental insurance.
- Competitive pension, 26 days holiday (excluding bank holidays).
- Car lease scheme, season ticket loan, and cycle to work schemes.
Match Digital specialises in connecting talented individuals with businesses in the digital, tech, media, and marcomms industries.
Data Analyst employer: match digital.
Contact Detail:
match digital. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL, Python, or R. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when tackling data problems, as this will help you stand out during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data analysts like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Data Analyst
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 use these tools to make a real impact on our dashboards!
Tailor Your Application: Don’t just send a generic application! Take a moment to tailor your CV and cover letter to reflect how your experience aligns with the responsibilities listed in the job description. It shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on what makes you the perfect fit for the Data Analyst role.
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 don’t miss out on any important updates from our team!
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 data mining techniques you've applied. This will show that you're not just familiar with the tech, but that you can actually use it effectively.
✨Familiarise Yourself with Digital Tools
Since the role involves using Adobe Analytics, take some time to explore its features and functionalities. If you have experience with similar digital tools, be prepared to share how you've leveraged them in past roles. This will demonstrate your adaptability and readiness to hit the ground running.
✨Prepare for Data Discussions
Expect questions about how you analyse and map data sets. Think of examples where you've tested correlations or produced insights from data. Being able to articulate your thought process and the impact of your findings will impress the interviewers.
✨Show Your Collaborative Spirit
This role requires collaboration with various teams, so be ready to discuss how you've worked with others in the past. Share examples of how you've contributed to team projects, especially those involving Business Intelligence and Data Visualisation. Highlighting your teamwork skills will show that you're a great fit for their global environment.
