Strategic Programs Senior Analyst

About The Role

Role

Payroll Data Scientist

Accenture Hiring Level

Level 10

About The Role

As a Data Scientist in the Payroll domain, you will leverage data to optimize payroll operations, ensure compliance, detect anomalies, and support strategic decision-making. You will work closely with HR, Finance, and IT teams to build predictive models, automate reporting, and enhance payroll accuracy and efficiency.

Qualification

Background Requirements

Criteria

Minimum Requirement

Evaluation Methodology

• Education
• Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field
• To be verified through documents submitted at the time of interview
• Total Years of Experience
• 4 - 6 years of Experience
• To be verified through documents submitted at the time of interview
• Total Years of Role Specific Experience
• 3 - 4 years of Payroll Analytics Experience
• To be verified through documents submitted at the time of interview

Skills Knowledge Required

Skills / Knowledge

Mandatory Vs Preferred

Measure of Skill Proficiency

Evaluation Methodology

• Programming (Python, R, SQL)
• Mandatory
• Met Expectation /Not Met Expectation
• Practice
• Hands-on experience with APIs
• i. REST APIs, authentication (OAuth, tokens)
• ii.System integration experience
• Mandatory
• Met Expectation /Not Met Expectation
• Practice
• Payroll Knowledge
• Preferred
• Met Expectation /Not Met Expectation
• Interview
• Statistics Math (Probability, regression, hypothesis testing)
• Mandatory
• Met Expectation /Not Met Expectation
• Practice
• Payroll Systems (Example:Workday / Dayforce / SAP) and CRM/Workflow tools (SNOW / WQM / CRM etc.)
• Preferred
• Met Expectation /Not Met Expectation
• Interview
• MS Office
• Preferred
• Met Expectation /Not Met Expectation
• Practice
• Machine Learning (Classification, clustering, recommendation systems)
• Mandatory
• Met Expectation /Not Met Expectation
• Practice
• Communication Skills
• Mandatory
• Met Expectation /Not Met Expectation
• Interview
• Data Modelling / Analytics (Example:PowerBI / Tableau / MS Access)
• Mandatory
• Met Expectation /Not Met Expectation
• Practice
• Microsoft PowerApps
• Mandatory
• Met Expectation /Not Met Expectation
• Practice
• Power Query
• Mandatory
• Met Expectation /Not Met Expectation
• Practice
• Problem solving skills (Analytical skills / Collaborative thinking/ Adaptable to change)
• Mandatory
• Met Expectation /Not Met Expectation
• Interview

Note for Sourcing

Candidate meets the educational, industry role specific experience criteria to be put across HR screening.

Note for HR Screening

Candidate meets the sourcing criteria within the standard compensation bracket for the role, basic communication skills to be put through for written assessment

Note for Ops Interview

Candidate nearer to the target on skill/knowledge required should be put on hold and considered again depending on the pipeline of the resources available to meet the hiring targets

Note for Offer Management

Candidates fit the role requirement but above the standard compensation offered should be referred to delivery/transition lead for decision