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- Tasks: Analyse complex datasets and provide data-driven insights on social issues.
- Company: Global analytics firm focused on impactful consulting.
- Benefits: Comprehensive benefits package to support employee wellbeing.
- Why this job: Make a difference by influencing social issues with data insights.
- Qualifications: Two years of quantitative research experience and proficiency in Python, R, or SQL.
- Other info: Collaborative on-site environment with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
A global analytics firm is seeking a Consulting Analyst in London to support leaders with data-driven insights on social issues. You will analyze complex datasets, ensure data integrity, and prepare clear outputs for client deliverables.
The ideal candidate has two years of experience in quantitative research and is proficient in Python, R, or SQL. This role requires on-site collaboration at least three days per week and offers a range of benefits to enhance employee wellbeing.
Global Analytics Consultant — Data-Driven Insights employer: Gallup
Contact Detail:
Gallup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Analytics Consultant — Data-Driven Insights
✨Tip Number 1
Network like a pro! Reach out to professionals in the analytics field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python, R, or SQL. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics questions and case studies. Practising with a friend can help you articulate your thought process clearly during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Global Analytics Consultant role, and we’re always looking for passionate individuals like you.
We think you need these skills to ace Global Analytics Consultant — Data-Driven Insights
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with quantitative research and any relevant programming languages like Python, R, or SQL. We want to see how your skills can help us tackle social issues through data-driven insights!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Global Analytics Consultant role. We love seeing candidates who take the extra step to connect their experience with what we’re looking for.
Be Clear and Concise: When preparing your written application, clarity is key. We appreciate well-structured documents that get straight to the point. Make sure your outputs are easy to read and understand, just like you would for client deliverables!
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. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Gallup
✨Know Your Data Tools
Make sure you brush up on your skills in Python, R, or SQL before the interview. Be ready to discuss specific projects where you've used these tools to analyse complex datasets and how your insights made a difference.
✨Showcase Your Analytical Mindset
Prepare to talk about your experience with quantitative research. Think of examples where you've tackled social issues through data analysis. This will demonstrate your ability to provide data-driven insights that align with the firm's mission.
✨Communicate Clearly
Since you'll be preparing outputs for client deliverables, practice explaining complex data findings in simple terms. You might even want to prepare a mini-presentation to showcase your ability to convey insights effectively.
✨Emphasise Team Collaboration
As this role requires on-site collaboration, be ready to discuss your experience working in teams. Share examples of how you've contributed to group projects and how you handle differing opinions to achieve a common goal.
