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Statistical Expert(m/w/x)
Applying microeconometric analysis and causal inference for client certification. Master's degree in Econometrics or related field required. Part-time models with flexible hours and remote work possible.
Requirements
- Master’s degree in Econometrics, Economics, or Social Sciences
- Strong background in quantitative methods and econometrics
- Proven specialization in micro econometric analysis and causal inference
- Proficiency in analytical tools 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 independently perform salary analysis
- 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 or appointed expert
- Master’s degree in Econometrics, Economics, or Social Sciences
- Strong background in quantitative methods and econometrics
- Proven specialization in micro econometric analysis and causal inference
- Proficiency in analytical tools 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 independently perform salary analysis
- 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 or appointed expert
- Professional experience
Tasks
- Analyze, interpret, and transform data into insights
- Apply statistical methods (regression) for certification
- Liaise with clients on data quality
- Clarify data with clients
- Understand client compensation philosophy
- Understand client compensation policies
- Perform equal pay assessments using statistical modeling
- Work with statistical tools like R and R Studio
- Explain statistical concepts to HR teams
- Collaborate with EQUAL-SALARY audit teams
- Contribute to data analytics initiatives
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 possible
Learning & Development
- Career development and training
Workation & Sabbatical
- Opportunity to work abroad
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Statistical Expert(m/w/x)
Applying microeconometric analysis and causal inference for client certification. Master's degree in Econometrics or related field required. Part-time models with flexible hours and remote work possible.
Requirements
- Master’s degree in Econometrics, Economics, or Social Sciences
- Strong background in quantitative methods and econometrics
- Proven specialization in micro econometric analysis and causal inference
- Proficiency in analytical tools 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 independently perform salary analysis
- 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 or appointed expert
- Master’s degree in Econometrics, Economics, or Social Sciences
- Strong background in quantitative methods and econometrics
- Proven specialization in micro econometric analysis and causal inference
- Proficiency in analytical tools 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 independently perform salary analysis
- 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 or appointed expert
- Professional experience
Tasks
- Analyze, interpret, and transform data into insights
- Apply statistical methods (regression) for certification
- Liaise with clients on data quality
- Clarify data with clients
- Understand client compensation philosophy
- Understand client compensation policies
- Perform equal pay assessments using statistical modeling
- Work with statistical tools like R and R Studio
- Explain statistical concepts to HR teams
- Collaborate with EQUAL-SALARY audit teams
- Contribute to data analytics initiatives
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 possible
Learning & Development
- Career development and training
Workation & Sabbatical
- Opportunity to work abroad
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.
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