I&F Decision Sci Practitioner Assoc Mgr

I&F Decision Sci Practitioner Assoc Mgr

Skill required: Delivery - Advanced Analytics
Designation: I&F Decision Sci Practitioner Assoc Mgr
Qualifications:Any Graduation
Years of Experience:10 to 14 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 lead the Analytics Engineering and Reporting & Visualization capability within Accenture Marketing Operations, managing a team of data, reporting, and visualization analysts to deliver reliable, analytics-ready datasets, automated dashboards, and business-ready reporting solutions for global clients. • Total 9plus years of experience, with 5plus years in analytics engineering, BI, reporting, visualization, data operations, or analytics delivery leadership. • Strong expertise in SQL, data modelling, ETL,ELT concepts, data transformation, validation, reconciliation, and reporting data preparation. • Deep hands-on experience with Power BI, Tableau, Looker, or similar BI platforms.
What are we looking for? • Strong understanding of data warehouse, data lake, relational database, semantic layer, and dimensional modelling concepts. • Experience designing and managing analytics-ready datasets, dashboard data models, reporting tables, scorecards, and reusable BI assets. • Strong knowledge of KPI frameworks, dashboard design principles, report automation, data visualisation best practices, and self-service BI governance. • Ability to review technical work across SQL queries, data models, dashboard logic, refresh processes, and reporting outputs.
Roles and Responsibilities: • Define and govern analytics engineering and reporting strategy across client engagements, including data models, dashboard standards, KPI frameworks, reporting templates, and automation approach. • Lead a team of analytics engineering, reporting, and visualization professionals, providing direction, quality review, coaching, and performance management. • Oversee and support in the design, build, automation, maintenance, and enhancement of dashboards, scorecards, recurring reports, executive reporting packs, and reusable reporting assets. • Design and oversee analytics-ready datasets, semantic layers, reporting tables, data extracts, and dashboard data models. • Partner with campaign analytics, audience segmentation, social analytics, digital analytics, platform, and client teams to understand data requirements and reporting needs. • Ensure source-to-target reconciliation, data validation, completeness checks, refresh monitoring, KPI accuracy, and exception handling across reporting outputs. • Monitor scheduled jobs, data refreshes, reporting datasets, and pipeline dependencies; ensure issues are documented and escalated within agreed SLA timelines. • Review and optimize SQL logic, data models, dashboard performance, and reporting datasets for accuracy, scalability, and efficiency. • Drive standardization of reporting definitions, data visualization, best practices, dashboard governance, documentation, and self-service BI adoption. • Identify opportunities to reduce manual reporting effort through automation, reusable templates, governed datasets, and scalable reporting processes. • Present reporting output, performance narratives, data quality issues, and improvement recommendations to senior stakeholders. • Ensure data governance, privacy, access control, and compliance requirements are followed across analytics data and reporting processes. • Experience with cloud data platforms such as Snowflake, BigQuery