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- Tasks: Lead analytics projects and dive deep into survey data analysis.
- Company: Dynamic research consultancy focused on impactful insights.
- Benefits: Hybrid working, autonomy, and opportunities for professional growth.
- Other info: Join a collaborative team and enhance your analytical expertise.
- Why this job: Make a real difference by delivering valuable insights through data.
- Qualifications: 3+ years in research with skills in R or Python.
The predicted salary is between 40000 - 50000 £ per year.
A research consultancy is seeking a Research Analytics Manager to enhance their analytics capabilities. You will manage analytics workstreams, focusing on survey data analysis, including segmentation and regression models.
Ideal candidates have at least 3 years in research, expertise in R or Python, and demonstrate critical thinking. This role offers hybrid working, autonomy, and a chance to deliver impactful insights.
Research Analytics Manager - Survey Insights & Automation employer: Spalding Goobey
Contact Detail:
Spalding Goobey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Analytics Manager - Survey Insights & Automation
✨Tip Number 1
Network like a pro! Reach out to professionals in the research analytics field on LinkedIn. Join relevant groups and engage in discussions to showcase your expertise and make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by brushing up on your R or Python skills. Be ready to discuss how you've used these tools in past projects, especially in survey data analysis. We want you to shine and show off your critical thinking abilities!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you, and tailor your approach to each company’s culture and mission.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Research Analytics Manager - Survey Insights & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in research analytics, especially with survey data. We want to see your expertise in R or Python shining through, so don’t hold back on those skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Research Analytics Manager role. Share specific examples of your past work with segmentation and regression models to show off your critical thinking skills.
Showcase Your Analytical Mindset: In your application, demonstrate how you approach problem-solving and data analysis. We love candidates who can think critically and provide impactful insights, so let that shine through in your writing!
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 this exciting opportunity in a hybrid working environment!
How to prepare for a job interview at Spalding Goobey
✨Know Your Data Inside Out
Make sure you’re well-versed in survey data analysis techniques, especially segmentation and regression models. Brush up on your R or Python skills, as you might be asked to demonstrate your analytical prowess during the interview.
✨Showcase Your Critical Thinking
Prepare examples that highlight your critical thinking abilities. Think of situations where you’ve had to analyse complex data sets and draw meaningful insights. This will show them you can think on your feet and provide valuable contributions.
✨Understand the Company’s Needs
Research the consultancy’s previous projects and their approach to analytics. Tailor your responses to show how your experience aligns with their goals, and be ready to discuss how you can enhance their analytics capabilities.
✨Ask Insightful Questions
Prepare thoughtful questions about their current analytics processes and future goals. This not only shows your interest in the role but also demonstrates your proactive mindset and desire to contribute to impactful insights.