Strategic Programs Analyst

As a Data Scientist in the Payroll domain, you will support the use of data to help optimize payroll operations, maintain compliance, identify anomalies, and assist decision-making under guidance. You will work with HR, Finance, and IT teams to help build predictive models, automate reporting, and improve 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. Assist in developing predictive models for payroll forecasting, headcount planning, and cost optimization.

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.

Assist in developing 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.

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. Help translate data results into actionable business insights under guidance.

Collaborate with payroll operations teams to streamline processes and enhance efficiency based on data-driven recommendations.

Help translate data results into actionable business insights under guidance.

Integrate Enterprise Systems Connect AI solutions to internal systems via APIs Support the design and implementation of REST API integrations (authentication, data exchange) Work with structured and unstructured data across multiple sources

Connect AI solutions to internal systems via APIs

Support the design and implementation of 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. Contributes to a logical plan, realistic estimates and schedule for an activity or project segment. Ensure Local Work Instructions are followed and stay updated on process changes. 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 working knowledge of the process. Strengthen work relationship with Onshore Teams and other internal teams. Participate in conference calls and prepare ‘minutes of meeting’.

Execute the process accurately and timely as hands on processor.

Escalate issues and seek advice when faced with complex issues/problems.

Contributes to a logical plan, realistic estimates and schedule for an activity or project segment.

Ensure Local Work Instructions are followed and stay updated on process changes.

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 working knowledge of the process.

Strengthen work relationship with Onshore Teams and other internal teams.

Participate in conference calls and prepare ‘minutes of meeting’.

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

Payroll Knowledge

Preferred

Interview

Statistics & Math (Probability, regression, hypothesis testing)

Payroll Systems (Example: Workday / Dayforce / SAP) and CRM/Workflow tools (SNOW / WQM / CRM etc.)

MS Office

Machine Learning (Classification, clustering, recommendation systems)

Communication Skills

Data Modelling / Analytics (Example: PowerBI / Tableau / MS Access)

Microsoft PowerApps

Power Query

Problem solving skills (Analytical skills / Collaborative thinking/ Adaptable to change)

Candidate meets the educational, industry & role specific experience criteria to be put across 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

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

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

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

2 - 4 years of Experience

Total Years of Role Specific Experience

1 - 2 years of Payroll Analytics Experience

Visit us at www.accenture.com

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.