Research Manager (Analytics) in London
Research Manager (Analytics)

Research Manager (Analytics) in London

London Full-Time 28800 - 48000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead analytics for impactful research projects and automate analytical tasks.
  • Company: Focaldata, a pioneering firm using AI to transform research insights.
  • Benefits: Inclusive culture, diverse team, and opportunities for professional growth.
  • Why this job: Make a real difference by closing the understanding gap with innovative analytics.
  • Qualifications: 3+ years in analytics, strong skills in R or Python, and experience with survey data.
  • Other info: Join a dynamic team focused on redefining research with cutting-edge technology.

The predicted salary is between 28800 - 48000 ÂŁ per year.

We at Focaldata are on a mission to close the "understanding gap" between what organisations believe about people and reality. By leveraging AI, we provide deeper, more accurate insights at a fraction of the cost and time of traditional methods. We have built an amazing team of research industry experts and great engineers to reimagine what is possible in research. We do impactful work with amazing organisations ranging from well-known brands to life-changing non‐profits. Join us!

About the role

At Focaldata we harness the latest tech to look beyond the numbers to create true insight into the public's thoughts. To do this we have gathered an amazing team of engineers and researchers. We are now looking for a Research Manager to focus predominantly on our analytics capabilities. This role will be key in pushing the boundaries of what we do and how we close the knowledge gap!

What you’ll do

  • Own the analytics workstreams for major research projects including segmentation analysis, factor reduction, multi‐level regression modelling.
  • Set best‐practice and standards, processes for analytics including segmentation.
  • Automate common analytical tasks particularly for trackers and long‐running client projects.
  • Independently run end‐to‐end research and insight projects (primarily quant but also qual and mixed methods).
  • Contribute to and own RFPs and other proposals.

Who you are (skills and experience)

  • 3+ years analytics and/or research experience using survey data.
  • Experience in personally running different types of statistical analyses, including factor reduction techniques, multi‐level/mixed‐effect regression (linear and logistic at a minimum), and segmentation/cluster analysis.
  • Ability to run exploratory data analysis, enjoys using creative ways of looking for patterns and nuggets hidden in the data.
  • Deep experience working with survey data, including wrangling, merging, cleaning and weighting. Ideal candidate will also have worked with publicly available datasets (e.g., census or other ONS data).
  • Strong proficiency in R or Python for data analysis and data visualisation.

Nice to have

  • The ideal candidate has experience in using both frequentist and Bayesian approaches.
  • Understanding of the full market research project life cycle.

Please note this role is predominantly in‐office (4 days a week).

Focaldata is an equal opportunities employer. We believe in the value of a diverse and inclusive workforce for our business, team and customers. We encourage all applications regardless of age, disability, gender, marriage, pregnancy, maternity, race or nationality, religion or belief, sex and sexual orientation. We also understand that certain groups may not feel empowered to apply unless they match every single requirement. Please do apply even if you don’t match 100% of every single requirement!

Research Manager (Analytics) in London employer: Focaldata

Focaldata is an exceptional employer that champions innovation and inclusivity, making it a fantastic place for a Research Manager to thrive. With a strong focus on employee growth, we offer opportunities to lead cutting-edge analytics projects while working alongside a talented team of industry experts in a collaborative environment. Our commitment to diversity and the meaningful impact of our work with both renowned brands and transformative non-profits sets us apart as a truly rewarding workplace.
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Contact Detail:

Focaldata Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Manager (Analytics) in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by researching the company and its projects. Understand their mission and how your skills can help close that 'understanding gap'. Tailor your responses to show how you can contribute to their analytics capabilities.

✨Tip Number 3

Showcase your analytical skills during interviews. Bring examples of past projects where you've used R or Python to solve complex problems. This will demonstrate your hands-on experience and ability to drive insights.

✨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, it shows you’re genuinely interested in joining our amazing team at Focaldata.

We think you need these skills to ace Research Manager (Analytics) in London

Analytics
Statistical Analysis
Factor Reduction Techniques
Multi-Level Regression Modelling
Segmentation Analysis
Exploratory Data Analysis
Data Wrangling
Data Cleaning
Data Weighting
R Programming
Python Programming
Data Visualisation
Market Research Project Life Cycle
Quantitative Research
Qualitative Research

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of Research Manager (Analytics). Highlight your experience with analytics, statistical analyses, and any relevant projects you've worked on. We want to see how your skills align with what we do at Focaldata!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about closing the understanding gap and how your background makes you a perfect fit for our team. Be genuine and let your personality come through!

Showcase Your Technical Skills: Since this role involves a lot of data analysis, make sure to highlight your proficiency in R or Python. Share specific examples of how you've used these tools in past projects to demonstrate your capabilities. We love seeing real-world applications!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our amazing team at Focaldata!

How to prepare for a job interview at Focaldata

✨Know Your Analytics Inside Out

Make sure you brush up on your analytics skills, especially around statistical analyses like multi-level regression and segmentation. Be ready to discuss specific projects where you've applied these techniques, as this will show your practical experience.

✨Showcase Your Problem-Solving Skills

Focaldata is all about closing the understanding gap, so come prepared with examples of how you've tackled complex data challenges. Think of times when you found creative solutions or insights that made a real impact on a project.

✨Familiarise Yourself with Their Tech Stack

Since the role involves using R or Python for data analysis, make sure you're comfortable discussing your experience with these tools. If you’ve automated analytical tasks before, be ready to share how you did it and the benefits it brought.

✨Understand the Market Research Life Cycle

Having a grasp of the full market research project life cycle will set you apart. Be prepared to discuss how your previous roles have contributed to different stages of research projects, from conception to delivery.

Research Manager (Analytics) in London
Focaldata
Location: London
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  • Research Manager (Analytics) in London

    London
    Full-Time
    28800 - 48000 ÂŁ / year (est.)
  • F

    Focaldata

    50-100
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