Analytics Manager (5-7 yrs)

Job Description:

As an Analytics Manager, you will support the Analytics Director to deliver statistical analysis using primary market research data generated by the Research team. You will also support with advising the Research project teams on sample size and questionnaire design.

Key responsibilities will include:

- Building Excel tools such as market simulators (in Excel VBA) for conjoint, DCM, forecasting, and segmentation studies.

- Guidance and consultation regarding Excel and SPSS, actively engaging in department wide training initiatives to deepen understanding of available quantitative analytical & digital techniques and appropriate software packages.

- Liaising with the Data Collection and Data Processing teams both in house and offshore, to ensure data is provided in the appropriate format for analysis.

- Responding to day-to-day statistical questions (e.g. database design, sample design, sample size, selection of appropriate statistical tests and methodologies).

- Running and interpreting statistical analysis and contributing to study deliverables.

- Supporting Directors and more senior researchers in their client facing activities.

- Running choice models, conjoint analysis, experimental designs, segmentations, factor analysis, cluster analysis, discriminant analysis, regression and driver analysis, perceptual mapping, CHAID and CART, and categorical data analysis, and other methods as required.

Your skills and experience:

- 5+ years of practical experience in a data science, market research advance methods, marketing science, or digital analytical unit is essential.

- 5+ years of experience with SPSS and R is essential. Python, Q-research, Sawtooth, Xlstats etc are desirable.

- Experience in Key Drivers Analysis (Shapley value, ridge regression etc.), SEM, Segmentation and typing tool, Conjoint, Maxdiff, TURF is essential.

- Experience with secondary data, econometric modelling, claims data, Bayesian networks, Machine learning models are desirable.

- Experience in Healthcare is essential.