Forvis Mazars
Statistical Expert(m/w/x)
Full-time/Part-timeWith HomeofficeExperienced
Bern, Zürich, Lausanne, Genf
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FOForvis Mazars
Statistical Expert(m/w/x)
Bern, Zürich
Part-time, Full-timeWith Home OfficeExperienced
Nejo AI Summary
Applying statistical methods for the EQUAL-SALARY Foundation, analyzing data for client decision-making. Microeconometric analysis and causal inference specialization required. Part-time, flexible hours, remote work possibility.
Requirements
- Master’s degree in Econometrics, Economics, or Social Sciences
- Strong background in quantitative methods and econometrics
- Specialization in micro econometric analysis and causal inference
- Proficiency in R, Python, or Stata
- Ability to select appropriate modelling approaches
- Ability to analyze linear regression results
- Ability to derive meaningful insights
- Knowledge of Compensation & Benefits
- Knowledge of general Human Resources topics
- Knowledge of local regulations on equal pay in Switzerland
- Ability to perform salary analysis or control independently
- Outcomes and reports verified and validated by accredited Ansal Expert
- Complete EQUAL-SALARY Ansal Experts training
- Successful completion of certification exam
- Lead two statistical analysis supervised by EQUAL-SALARY Foundation
- Master’s degree in Econometrics, Economics, or Social Sciences
- Strong background in quantitative methods and econometrics
- Specialization in micro econometric analysis and causal inference
- Proficiency in R, Python, or Stata
- Ability to select appropriate modelling approaches
- Ability to analyze linear regression results
- Ability to derive meaningful insights
- Knowledge of Compensation & Benefits
- Knowledge of general Human Resources topics
- Knowledge of local regulations on equal pay in Switzerland
- Ability to perform salary analysis or control independently
- Outcomes and reports verified and validated by accredited Ansal Expert
- Complete EQUAL-SALARY Ansal Experts training
- Successful completion of certification exam
- Lead two statistical analysis supervised by EQUAL-SALARY Foundation
Tasks
- Analyze and interpret data for meaningful insights
- Support decision-making and strengthen analytical processes
- Collaborate within a dynamic and growing team
- Apply statistical methods defined by the EQUAL-SALARY Foundation
- Liaise with clients on data quality and clarifications
- Understand client compensation philosophy and policies
- Interpret real-life compensation situations for equal pay assessments
- Work confidently with statistical tools like R and R Studio
- Explain statistical concepts to HR teams
- Contribute to initiatives requiring data analytics skills
- Collaborate with EQUAL-SALARY audit teams
- Work with other project teams
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Stata
Benefits
Flexible Working
- Part-time working models
- Flexible working hours
- Remote work possibility
Learning & Development
- Career development and training
Workation & Sabbatical
- Opportunity to work abroad
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Forvis Mazars and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FOForvis Mazars
Statistical Expert(m/w/x)
Bern, Zürich
Part-time, Full-timeWith Home OfficeExperienced
Nejo AI Summary
Applying statistical methods for the EQUAL-SALARY Foundation, analyzing data for client decision-making. Microeconometric analysis and causal inference specialization required. Part-time, flexible hours, remote work possibility.
Requirements
- Master’s degree in Econometrics, Economics, or Social Sciences
- Strong background in quantitative methods and econometrics
- Specialization in micro econometric analysis and causal inference
- Proficiency in R, Python, or Stata
- Ability to select appropriate modelling approaches
- Ability to analyze linear regression results
- Ability to derive meaningful insights
- Knowledge of Compensation & Benefits
- Knowledge of general Human Resources topics
- Knowledge of local regulations on equal pay in Switzerland
- Ability to perform salary analysis or control independently
- Outcomes and reports verified and validated by accredited Ansal Expert
- Complete EQUAL-SALARY Ansal Experts training
- Successful completion of certification exam
- Lead two statistical analysis supervised by EQUAL-SALARY Foundation
- Master’s degree in Econometrics, Economics, or Social Sciences
- Strong background in quantitative methods and econometrics
- Specialization in micro econometric analysis and causal inference
- Proficiency in R, Python, or Stata
- Ability to select appropriate modelling approaches
- Ability to analyze linear regression results
- Ability to derive meaningful insights
- Knowledge of Compensation & Benefits
- Knowledge of general Human Resources topics
- Knowledge of local regulations on equal pay in Switzerland
- Ability to perform salary analysis or control independently
- Outcomes and reports verified and validated by accredited Ansal Expert
- Complete EQUAL-SALARY Ansal Experts training
- Successful completion of certification exam
- Lead two statistical analysis supervised by EQUAL-SALARY Foundation
Tasks
- Analyze and interpret data for meaningful insights
- Support decision-making and strengthen analytical processes
- Collaborate within a dynamic and growing team
- Apply statistical methods defined by the EQUAL-SALARY Foundation
- Liaise with clients on data quality and clarifications
- Understand client compensation philosophy and policies
- Interpret real-life compensation situations for equal pay assessments
- Work confidently with statistical tools like R and R Studio
- Explain statistical concepts to HR teams
- Contribute to initiatives requiring data analytics skills
- Collaborate with EQUAL-SALARY audit teams
- Work with other project teams
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Stata
Benefits
Flexible Working
- Part-time working models
- Flexible working hours
- Remote work possibility
Learning & Development
- Career development and training
Workation & Sabbatical
- Opportunity to work abroad
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Forvis Mazars and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Forvis Mazars
Industry
Consulting
Description
Die Forvis Mazars Group ist auf Audit, Tax und Advisory spezialisiert und unterstützt Kunden weltweit in jeder Phase ihrer Entwicklung.
Not a perfect match?
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