Accenture
I&F Decision Sci Practitioner Specialist
Mumbai
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hirly's read of this role
- Seniority
- Mid level
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 3 Oct 2026
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the posting
- 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 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.
Any Graduation
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com
Equal Employment Opportunity Statement
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.
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