Strategic Programs Senior Analyst

Accenture PLC; Mumbai City; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Accenture seeks a Payroll Data Scientist to optimize payroll operations, ensure compliance, and detect anomalies across HR, Finance, and IT. You will leverage data to build predictive models, automate reporting, and enhance payroll accuracy and efficiency.

Responsibilities include developing predictive models for forecasting, creating dashboards, automating data gathering from databases and APIs, and driving data-driven process improvements within payroll domain.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• Total Years of Experience: 4 - 6 years.
• Total Years of Role Specific Experience: 3 - 4 years in Payroll Analytics.

Responsibilities

• Data Analysis and Interpretation: analyze payroll data, identify trends and anomalies.
• Reporting and Dashboard Development: design dashboards and automate reporting.
• Process Optimization: streamline payroll processes based on data-driven insights.
• Integrate Enterprise Systems: connect AI solutions to internal systems via APIs.
• Process Support: execute processes accurately and update documentation.

Skills

Python

SQL

R

APIs

Statistics

Machine Learning

PowerBI

PowerApps

Power Query

Data modelling

Communication skills

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field

Tools

SNOW

WQM

CRM

Job description

Role

Payroll Data Scientist

Accenture Hiring Level

Level 10

Job Description

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.

• Data Analysis and Interpretation:
  • Utilizing advanced analytical techniques to analyze payroll data, identify trends, anomalies, and opportunities for improvement.
  • Use statistical methods and tools to find patterns, trends, and relationships.
  • Develop predictive models for payroll forecasting, headcount planning, and cost optimization.
• Reporting and Dashboard Development:
  • Designing and maintaining comprehensive dashboards and reports that provide actionable insights to stakeholders.
  • Build automations to gather data from various sources like databases, APIs, web scraping, or sensors.
• Process Optimization:
  • Collaborate with payroll operations teams to streamline processes and enhance efficiency based on data-driven recommendations.
  • Translate complex data results into actionable business strategies.
• Integrate Enterprise Systems
  • Connect AI solutions to internal systems via APIs
  • Design and implement REST API integrations (authentication, data exchange)
  • Work with structured and unstructured data across multiple sources
• Process Support:
  • Execute the process accurately and timely as hands on processor.
  • Escalate issues and seek advice when faced with complex issues/problems.
  • Creates a logical plan, realistic estimates and schedule for an activity or project segment.
  • Ensure Local Work Instructions are followed and updated regularly and train the team members on process updates.
  • Ensure process controls are in place; Maintain, validate and update process documentations.
  • Perform "Root Cause Analysis" on issues faces and suggest appropriate corrective action for current remediation and future control.
  • Participates in Knowledge Transfer of any process and acquires in depth knowledge of process as an SME.
  • Strengthen work relationship with Onshore Teams and other internal teams.
  • Participate in conference calls and prepare 'minutes of meeting'.

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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

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