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- Tasks: Lead analytics projects and provide insights for various industries.
- Company: Join a fast-growing tech-enabled research agency delivering impactful insights.
- Benefits: Earn up to £65,000 with a collaborative team environment.
- Why this job: Make a real impact with cutting-edge analytics and work with leading organizations.
- Qualifications: Strong academic background and experience in R, Python, and predictive modeling required.
- Other info: Exciting opportunity for those passionate about data and analytics.
The predicted salary is between 55000 - 65000 £ 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!
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
This role has the opportunity to really propel the analytics capabilities of the team. You will get to lead our industry-leading modelling for a variety of projects across different industries. You will do this by:
- Owning the analytics workstreams for major research projects including segmentation analysis, factor reduction, multi-level regression modelling.
- Setting best-practice and standards, processes for analytics including segmentation.
- Automating common analytical tasks particularly for trackers and long-running client projects.
- Independently running end-to-end research and insight projects (primarily quant but also qual and mixed methods).
- Contributing to and owning 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.
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!
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Research Manager (Analytics) employer: Focaldata Ltd
Contact Detail:
Focaldata Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Manager (Analytics)
✨Tip Number 1
Familiarize yourself with the latest trends in analytics and research methodologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the research and analytics field. Attend industry events or webinars where you can meet potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Showcase your technical skills, especially in R and Python, through personal projects or contributions to open-source initiatives. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've used analytics to drive business decisions in past roles. Being able to articulate your impact will demonstrate your value to the team.
We think you need these skills to ace Research Manager (Analytics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in analytics, research, and any specific skills like R and Python. Emphasize your commercial insights and previous projects that align with the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for analytics and research. Mention specific projects or experiences that demonstrate your ability to lead and provide insights, and explain why you want to work with this tech-enabled research agency.
Highlight Technical Skills: Clearly outline your technical skills related to predictive modeling, automation, and exploratory analysis. Provide examples of how you've applied these skills in past roles to deliver impactful results.
Follow Application Instructions: Ensure you send your application through the specified 'Apply' link and address it to Roshni Baillie. Double-check that all documents are attached and formatted correctly before submitting.
How to prepare for a job interview at Focaldata Ltd
✨Showcase Your Technical Skills
Make sure to highlight your experience with R, Python, and any predictive modeling techniques you've used. Be prepared to discuss specific projects where you applied these skills and the impact they had.
✨Demonstrate Your Consultancy Experience
Since the role involves providing insights and consultancy to clients, share examples of how you've successfully advised clients in the past. Focus on your ability to translate complex data into actionable insights.
✨Prepare for Project Management Questions
Expect questions about how you manage research projects from start to finish. Be ready to discuss your approach to planning, executing, and delivering results, as well as how you handle challenges along the way.
✨Emphasize Collaboration
The company values a collaborative environment, so be sure to talk about your experience working in teams. Share examples of how you've contributed to team success and how you communicate effectively with colleagues and clients.
