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Senior Statistics Analyst
MindMiners. Support the Sales, Customer Service, and Research teams in assessing client needs and defining methodological approaches .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical methodologies, sample design, and data analysis using R and Python, while effectively translating business challenges into actionable research solutions. Strong communication and analytical skills support collaboration with cross-functional teams to develop automated statistical solutions.
Highest-signal resume keywords
Degree In StatisticsSample DesignStatistical InferenceR ProgrammingPython Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical MethodologiesMultivariate AnalysisWeighting StrategiesTURFWTPANACORSegmentationRegressionAutomated Statistical SolutionsMarket Research
Soft Skills
Strong Communication SkillsAnalytical ThinkingAutonomy
Tools & Technologies
MindMiners PlatformGit
Industry Keywords
Market IntelligencePricing MethodologiesVan WestendorpGabor-GrangerMaxDiffConjoint
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Support the Sales, Customer Service, and Research teams in assessing client needs and defining methodological approaches
- Provide guidance on sample design, weighting strategies, statistical inference, and methodologies such as TURF, WTP, ANACOR, segmentation, and regression
- Participate in technical discussions with clients, contributing to research proposals and solutions
- Research, develop, and validate statistical methodologies
- Collaborate with Product and Technology to transform methodologies into automated, scalable solutions on the MindMiners platform
- Document and standardize methodologies
- Share knowledge and serve as a technical reference for internal teams
Requirements
What you’ll need- Degree or graduate-level qualification in Statistics
- Experience with sample design, statistical inference, and multivariate analysis
- Proficiency in R and/or Python for data analysis and development of statistical solutions
- Ability to translate business challenges into methodological approaches
- Strong communication skills, analytical thinking, and autonomy
- Experience in market research and market intelligence (a plus)
- Knowledge of pricing methodologies (Van Westendorp, Gabor-Granger), MaxDiff, and Conjoint (a plus)
- Experience developing automated statistical solutions and using code version control (Git) (a plus)
- Interest in artificial intelligence applied to research, methodological innovation, and automation (a plus)
Benefits
Comp & perks- Flexible points — flexibility in meal allowance and home office assistance balances
- Health and dental insurance
- Transportation allowance or parking
- Flexible working hours
- Birthday day off
- TotalPass
- Extended maternity and paternity leave
- Childcare assistance
- Miners Learn — professional development budget for courses
- Miners Book — unlimited budget for purchasing physical or digital books
- Innovative environment focused on growth and learning