I&F Decision Sci Practitioner Analyst

Skill required: Delivery - Advanced Analytics

Designation: IF Decision Sci Practitioner Analyst

Qualifications:Any Graduation

Years of Experience:3 to 5 years

Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song- all powered by the world-s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.

What would you do
Accenture is a global professional services company specializing in strategy, consulting, technology, operations, digital, cloud, and security services. With approximately 699,000 employees serving clients in 120+ countries, Accenture helps organizations drive innovation and create value through technology and human ingenuity. .You will be aligned with our Marketing Operations vertical, supporting data enablement for reporting, dashboarding, campaign analytics, audience segmentation, and social, digital analytics services.

2-5 years of experience in data operations, analytics engineering, reporting data support, or data pipeline support.

Strong SQL skills for data extraction, joins, transformations, aggregations, validation, and reconciliation.

Experience supporting ETL,ELT processes, recurring data feeds, scheduled jobs, and data refresh cycles.

What are we looking for

Understanding data warehousing, data lake concepts and working with large structured datasets.

Ability to perform source-to-target reconciliation, data completeness checks, duplicate checks, and exception validation.

Experience preparing dashboard-ready datasets, reporting tables, semantic layers, or BI data models.

Working knowledge of BI reporting tools such as Power BI, Tableau, Looker, or similar.

Experience leveraging AI and automation tools to streamline analytics workflows, improve decision-making, and enhance operational efficiency.


Roles and Responsibilities:

Support data pulls, transformations, pipeline checks, and data validation activities.

Monitor scheduled jobs, data refreshes, and recurring data feeds; flag pipeline failures, delays, or anomalies.

Assist with reconciliation, source-to-target checks, data completeness checks, and dashboard dataset readiness.

Prepare and maintain dashboard-ready datasets, reporting data models, and recurring extracts for analytics teams.

Support issue investigation for data discrepancies, failed refreshes, missing data, or inconsistent reporting outputs.

Partner with reporting, campaign analytics, and audience segmentation teams to understand data requirements and dependencies.

Maintain documentation for data extracts, transformation logic, validation checks, recurring process steps, and known data issues.

Escalate data quality, access, or pipeline issues to relevant platform, data engineering, or client teams as per agreed process.
QualificationAny Graduation