Job Title: Statistics Manager
Adelphi Research
At Adelphi Research, we strive to create a work environment that encourages and compliments individuals who are curious, who are critical thinkers who think outside the box. We are interested in people who like challenges, who are passionate about what they do, take pride in their accomplishments and appreciate being recognized for them. We want team players, critical thinkers, individuals who are flexible and excited to jump in and contribute in a team environment. Our mission is tech forward, with a commitment to smart, valid AI integration into workstreams that gives our talent more time to innovate and consult with client. If this sounds like you, and you fit the requirements of the job description, send us your resume and let’s talk.
Job Title: Statistics Manager
Overall description of role: Working as part of our dynamic Advanced Analytics team using a wide range of applied statistical techniques, AI, and interactive application development approaches to analyze data, visualize results, and interpret findings for business decision support.
Key Responsibilities
- Design and Analysis on Advanced/Multivariate Methods/Models
- Collaborate to help project teams design research that overcomes challenges and achieves clients’ business objectives
- Independently build models/quality check others’ models and associated tools for specific business needs, including design and improvement of models for branded solutions
- Build and Enhance Statistical Methods/Tools
- Proficiency in multiple advanced methodologies (e.g., regression, conjoint, segmentation, pricing, structural equations modeling, belief networks, factor analysis, etc.)
- Evaluate new methodologies for their robustness and application; integrate into Adelphi offerings
- Automate and build efficiencies in the analysis process (e.g., data checking, quick assessment of segments, stacking of data for driver analysis, automation of dashboard outputs, etc.)
- Go-to expert for model application development (R-Shiny, Excel, Visual Basic, Python, PowerBI, etc.)
- Liaise with Project Team
- Client-facing member of the proposal/project team for advanced methods presentations, dialogue, application demonstrations
- Proactively looks to add value at the proposal stage, proposes ideas and assists project teams in articulating them verbally, in writing
- Provide input into project design elements to optimize for statistical analysis
- Create standards and quality checklists to help others understand how questionnaire design affects subsequent analyses
- Lead analytic brainstorming with advanced methods and project teams to solve analytic challenges and create bespoke analysis elements on the fly
Staff Development and Training
- Go-to coach for advanced methods team coaching on statistics, coding, model/app development
- Established leadership/expertise in one or more “best practice” areas, drives and maintains documentation, trains fellow group members in the optimal use of tools and techniques
- Supports overall team scheduling in addition to planning and managing own resource levels in co-ordination with data services and research teams
- Maintains/updates intra- and inter-team processes
- Commercial awareness of the cost of analytics time, including providing information for project costing purposes
- Able to evaluate statistical outputs in business context, gauge quality of analysis against business need, and proactively iterate prior to sharing solutions internally
Person specification
Essential
- Master’s or doctorate degree, or equivalent applied experience
- Minimum of 6-8 years of experience
- Broad knowledge of statistical techniques
- Experience with data manipulation, weighting, sample size calculation and significance testing
- Proficiency building war gaming/simulation models/interactive dashboards (R-Shiny, Excel, VBA, or other applications)
- Excellent ability to understand and work with numbers
- Ability to work to tight client driven deadlines
- Experience with multivariate statistics (regression, conjoint and discrete choice methods and segmentation)
- Ability to explain analyses and statistical outputs in terms non-statisticians can understand
Mix Of The Following Experience Required
- Proficient in modelling with categorical and ordinal data through the use of multinomial and ordinal regression methods and log-linear and logit methods
- Proficient integrating survey research with secondary data sources for modelling and data validation purposes
- Strong experience with advanced methods such as time series forecasting, Structural Equation Models (SEM), Path Analysis, and Partial Least Squares Path Models (PLS PM)
- Strong experience with hierarchical models, Bayesian approaches, Hidden Markov Models, Latent Class Models, and Monte Carlo methods
- Strong experience with Machine Learning techniques such as k-means, Gaussian Mixtures, Support Vector Machines (SVM)
- Exposure to Artificial Neural Nets and Kohonen Maps is a plus
- Experimental design
- Knowledge and advanced use of R and at least two of the following: Sawtooth CBC/HB, SPSS, Github, Matlab, Python, XLStat, SAS.
Competencies
- Excellent analytical skills
- Excellent interpersonal and communication skills
- Ability to work independently and as part of a team
- Excellent organization skills
- Ability to juggle multiple projects in a fast-paced environment
- Good creative problem-solving skills
- Adept at team brainstorming, both in-person and virtually
Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
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