Skill required: Delivery - Advanced Analytics

Designation: I&F Decision Sci Practitioner Specialist

Qualifications:Any Graduation

Years of Experience:7 to 11 years

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security.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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com

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. Visit us at www.accenture.com. You will be aligned with our Marketing Operations vertical, leading data enablement for reporting, dashboarding, campaign analytics, audience segmentation, and socialdigital analytics services. You will work with data, analytics, CRM, campaign, and platform teams to design reliable datasets, manage recurring data processes, validate data quality, and ensure analytics-ready data is available for business reporting.

5-8 years of experience in analytics engineering, data operations, data pipeline support, BI data modelling, reporting data enablement
Strong SQL expertise for complex joins, transformations, aggregations, window functions, performance tuning, validation, and reconciliation
Hands-on experience with ETLELT processes, recurring data feeds, scheduled jobs, data refresh cycles, and pipeline monitoring What are we looking for
Strong understanding of data warehouse, data lake, relational database, and dimensional modelling concepts
Experience building dashboard-ready datasets, semantic layers, reporting tables, BI data models, and reusable analytics data assets
Experience leveraging AI and automation tools to streamline analytics workflows and enhance operational efficiency
Ability to perform source-to-target reconciliation, data completeness checks, duplicate checks, exception validation, and root cause analysis
Experience supporting BI reporting tools such as Power BI, Tableau, Looker, or similar Roles and Responsibilities:
Lead data pulls, transformations, pipeline checks, and data validation activities across agreed analytics workstreams
Design and maintain dashboard-ready datasets, reporting data models, semantic layers, and recurring analytical extracts
Monitor scheduled jobs, data refreshes, and recurring data feeds; identify failures, delays, anomalies, and downstream impact
Perform source-to-target reconciliation, completeness checks, duplicate checks, transformation validation, and exception analysis
Investigate data discrepancies across dashboards, reports, campaign outputs, audience files, and source systems
Partner with reporting, campaign analytics, audience segmentation, social analytics, and digital analytics teams to define data requirements and dependencies
Coordinate with client data engineering, platform, and technology teams to resolve data access, pipeline, refresh, and quality issues
Support optimization of SQL queries, reporting datasets, and data models to improve performance, reliability, and scalability
Define and maintain documentation for data extracts, transformation rules, validation checks, recurring processes, known issues, and data lineage
Guide junior team members on SQL logic, data validation, reconciliation, documentation, and issue investigation