Strategic Programs Senior Analyst

Accenture PLC

Mumbai

In loco

INR 1.200.000 - 2.100.000

Tempo pieno

10 giorni fa

Generatore di candidature

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Descrizione del lavoro

Accenture PLC is seeking a Payroll Data Scientist to optimize payroll operations through data-driven insights, predictive modeling, and automated reporting. You'll collaborate with HR, Finance, and IT to improve accuracy and efficiency.

The role focuses on data analysis, dashboard development, API integrations, and process optimization within the payroll domain, requiring strong programming and ML skills.

Competenze

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

Mansioni

Data Analysis and Interpretation using advanced analytics to identify payroll trends, anomalies, and opportunities
Design and maintain dashboards and reports for stakeholders; automate data gathering from databases, APIs, or sensors
Collaborate with payroll operations to streamline processes based on data-driven insights
Integrate enterprise systems via APIs; design and implement REST API integrations
Execute processes accurately, escalate issues, and create action plans with SME-level knowledge transfer

Conoscenze

Python

SQL

REST APIs

Machine Learning

Data Visualization

Power BI

PowerApps

Power Query

Communication

Problem Solving

Formazione

Bachelor's degree in Data Science/Statistics/CS/Analytics

Strumenti

Workday

Dayforce

SAP

Descrizione del lavoro

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