Research Manager (Analytics)

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!

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:

1. Owning the analytics workstreams for major research projects including segmentation analysis, factor reduction, multi-level regression modelling.
2. Setting best-practice and standards, processes for analytics including segmentation.
3. Automating common analytical tasks particularly for trackers and long-running client projects.
4. Independently running end-to-end research and insight projects (primarily quant but also qual and mixed methods).
5. Contributing to and owning RFPs and other proposals.

1. 3+ years analytics and/or research experience using survey data.
2. 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.
3. Ability to run exploratory data analysis, enjoys using creative ways of looking for patterns and nuggets hidden in the data.
4. 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).
5. Strong proficiency in R or Python for data analysis and data visualisation.

1. The ideal candidate has experience in using both frequentist and Bayesian approaches.
2. 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!