I&F Decision Sci Practitioner Specialist

Skill required: Delivery - Advanced Analytics

Designation: IF Decision Sci Practitioner Specialist

Qualifications:Any Graduation

Years of Experience:7 to 11 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, leading data enablement for reporting, dashboarding, campaign analytics, audience segmentation, and social digital analytics services.

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 optimisation 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.

Familiarity with data governance, data lineage, access controls, privacy, consent, and compliance requirements.

Basic knowledge of Python or R for data automation, validation, or advanced data preparation.

Experience in airline, loyalty, travel, retail, financial services, or subscription-led businesses.
QualificationAny Graduation