Strategic Programs Senior Analyst

Accenture; Mumbai; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Accenture is seeking a Data Scientist in the Payroll domain to enhance payroll operations through data analysis, predictive modeling, and dashboard development. Key responsibilities include optimizing processes, collaborating with HR and IT teams, and utilizing advanced analytical methods. The ideal candidate holds a Bachelor’s degree and has 4-6 years of experience, with strong skills in Python, SQL, and machine learning. This role is based in Mumbai, India, and offers opportunities for professional growth.

Qualifications

• 4 – 6 years of experience.
• 3 – 4 years of payroll analytics experience.

Responsibilities

• Leverage data to optimize payroll operations and enhance accuracy.
• Utilize advanced analytical techniques to analyze payroll data.
• Design comprehensive dashboards and reports with actionable insights.
• Collaborate with teams to streamline processes and enhance efficiency.
• Connect AI solutions to internal systems via APIs.

Skills

Python

R

SQL

REST APIs

Statistics & Math

Payroll Knowledge

Machine Learning

Communication Skills

Data Modelling & Analytics

Microsoft PowerApps

Power Query

Problem-solving skills

Education

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

Tools

Workday

Dayforce

SAP

PowerBI

Tableau

MS Access

Job description

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.

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 a hands‑on processor.
• Escalate issues and seek advice when faced with complex issues or problems.
• Creates a logical plan, realistic estimates and schedule for a 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 documentation.
• Perform root‑cause analysis of issues faced and suggest appropriate corrective action for current remediation and future control.
• Participate in knowledge transfer of any process and acquire in‑depth knowledge of the process as an SME.
• Strengthen work relationships with onshore teams and other internal teams.
• Participate in conference calls and prepare minutes of meeting.

Qualification

Background Requirements

Education

• Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.

Total Years of Experience

• 4 – 6 years of experience.

Total Years of Payroll Analytics Experience

• 3 – 4 years of payroll analytics experience.

Skills Knowledge Required

• Programming: Python, R, SQL (Mandatory)
• APIs: Hands‑on experience with REST APIs and authentication (OAuth, tokens) (Mandatory)
• Payroll Knowledge (Preferred)
• Statistics & Math (Probability, regression, hypothesis testing) (Mandatory)
• Payroll Systems (Workday, Dayforce, SAP) and CRM/Workflow tools (SNOW, WQM, CRM) (Preferred)
• MS Office (Preferred)
• Machine Learning (Classification, clustering, recommendation systems) (Mandatory)
• Communication Skills (Mandatory)
• Data Modelling & Analytics (PowerBI, Tableau, MS Access) (Mandatory)
• Microsoft PowerApps (Mandatory)
• Power Query (Mandatory)
• Problem‑solving skills (Analytical skills, collaborative thinking, adaptable to change) (Mandatory)