At a Glance
- Tasks: Lead advanced analytics projects using cutting-edge statistical techniques and AI.
- Company: Adelphi Research, a forward-thinking company focused on innovation and collaboration.
- Benefits: Competitive salary, professional development, and a supportive team environment.
- Other info: Join a diverse team committed to inclusivity and celebrating unique talents.
- Why this job: Make a real impact by solving complex challenges with data-driven insights.
- Qualifications: Master's or doctorate degree with 6-8 years of relevant experience in statistics.
The predicted salary is between 36000 - 60000 £ per year.
At Adelphi Research, we strive to create a work environment that encourages and compliments individuals who are curious, critical thinkers, and who think outside the box. We are interested in people who like challenges, 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 clients.
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.)
- Contribute as part of the team to ongoing integration of AI into portfolio and process for value add and efficiency
- 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 coordination 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:
- 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
- Knowledge and advanced use of R and at least two of the following: Sawtooth CBC/HB, SPSS, Github, Matlab, Python, XLStat, SAS.
- Excellent analytical skills
- Excellent interpersonal and communication skills
- Ability to work independently and as part of a team
- 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.
Associate Statistics Director in Bollington employer: Omnicom Health
At Adelphi Research, we pride ourselves on fostering a collaborative and innovative work culture that values curiosity and critical thinking. Our commitment to employee growth is evident through our focus on training and development, ensuring that team members are equipped with the latest skills in advanced analytics and AI integration. Located in a vibrant environment, we offer unique opportunities for meaningful contributions while celebrating diversity and inclusion within our teams.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Statistics Director in Bollington
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Adelphi Research on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your statistical techniques and AI integration knowledge. Be ready to discuss how you've tackled challenges in past projects and how you can contribute to their mission.
✨Tip Number 3
Show off your passion! During interviews, share specific examples of when you’ve gone above and beyond in your work. This will demonstrate your commitment and enthusiasm for the role.
✨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 serious about joining the team.
We think you need these skills to ace Associate Statistics Director in Bollington
Some tips for your application 🫡
Tailor Your Resume:Make sure your resume reflects the skills and experiences that align with the job description. Highlight your statistical techniques and any relevant projects you've worked on, as this will show us you're a great fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about statistics and how you can contribute to our team. Share specific examples of challenges you've tackled and how you think outside the box—this is your chance to shine!
Showcase Your Team Spirit:Since we value collaboration, mention any experiences where you've worked in a team environment. Let us know how you contributed to group success and how you can bring that same energy to our Advanced Analytics team.
Apply Through Our Website:We encourage you to apply directly through our website. This way, your application will be processed smoothly, and you'll be one step closer to joining our innovative team at Adelphi Research!
How to prepare for a job interview at Omnicom Health
✨Know Your Stats Inside Out
Make sure you brush up on your statistical techniques and methodologies. Be ready to discuss your experience with advanced methods like regression, segmentation, and machine learning. The more confident you are in explaining these concepts, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex analytical challenges in the past. Think about specific projects where you had to think outside the box and how your contributions led to successful outcomes. This will demonstrate your critical thinking abilities and your value as a team player.
✨Be Ready to Collaborate
Since the role involves working closely with project teams, be prepared to discuss how you approach collaboration. Share experiences where you’ve worked effectively in a team environment, especially in brainstorming sessions or when integrating AI into projects. Highlight your flexibility and willingness to jump in.
✨Communicate Clearly
Practice explaining complex statistical outputs in simple terms. The ability to convey your findings to non-statisticians is crucial. Use examples from your past work to illustrate how you’ve successfully communicated insights to clients or team members who may not have a technical background.
