Market Research Analyst, Advanced Statistics

Ipsos North America

. Clean, structure, code, and summarize survey and secondary data .

Posted 10/6/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical analysis and programming, utilizing tools such as R, SPSS, and Python to derive insights from data. Proficient in experimental design and communicating complex findings to stakeholders, ensuring timely and accurate delivery of results.

Highest-signal resume keywords

Statistical AnalysisExperimental DesignR ProgrammingSPSS ProficiencyMarket Research Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisMultivariate AnalysisHypothesis TestingRegression AnalysisAnalysis Of Variance (ANOVA)Excel VBAPython ProgrammingSampling MethodologiesData CleaningData Structuring

Soft Skills

CommunicationCollaborationAttention To Detail

Tools & Technologies

SPSSRExcelPythonSASStataPowerPoint

Industry Keywords

Market ResearchQuantitative PsychologyBiostatisticsEconometricsClient Service

Tech Stack

Tools & technologies

PythonVBA

About the role

Key responsibilities & impact

Clean, structure, code, and summarize survey and secondary data
Use statistical software such as SPSS and R and business software such as Excel to uncover and evaluate solutions and assist project staff in running statistical analyses
Apply programming skills such as Excel VBA and Python to automate standard statistical procedures and chart creation
Apply multivariate analysis and Ipsos proprietary products
Work with Client Service from understanding business questions through design, analysis, and application
Work from an analytic plan and assemble Excel outputs or PowerPoint decks with results and explanations for Client Service
Ensure timely delivery of error-free work

Requirements

What you’ll need

BS or MS in Statistics, Applied Statistics, Biostatistics, Econometrics, Quantitative Psychology, or a closely related quantitative field
Strong academic foundation in experimental design (DOE), hypothesis testing, regression analysis, analysis of variance (ANOVA), linear and generalized linear models, sampling methodologies, and multivariate statistical analysis
Experience designing and analyzing market research studies, including surveys, pricing research, concept testing, and customer insights projects
Ability to design experiments and quasi-experiments to measure causal impact
Experience applying statistical methods to business decision-making
Proficiency with statistical software such as R, SAS, Python, SPSS, or Stata
Experience communicating complex statistical findings to non-technical business stakeholders