Role Summary Drive reporting and measurement across our Quality Analytics & Reporting charter. Gather, analyze, and publish insights from operational, financial, and organizational datasets; own weekly/monthly KPI cadences; and partner with risk/quality leads to turn data into actionable decisions. Key Responsibilities Own end to end reporting cycles (weekly/monthly), including KPI definition, trend analysis, and executive-ready insights for quality programs. Partner with risk/quality stakeholders in markets to understand reporting needs and translate them into dashboards and analytical deliverables. Perform data ETL from enterprise data lakes; profile data to detect anomalies; ensure accuracy and timeliness of published metrics. Design and maintain dashboards/visualizations (Power BI, Qlik Sense, Tableau) and publish narrative summaries for leadership. Steward operational datasets (e.g., org change trackers) that feed reporting cycles; coordinate updates with team huddles. Lead/coordinate reporting connects to review status, risks, and actions. Identify process-improvement opportunities from analytics work; propose automation/quality enhancements. Must Have Skills Advanced data visualization and dashboarding using Power BI, Qlik Sense, Tableau, and Excel. Strong SQL for ETL and data lake extractions; proficiency in data profiling/quality checks. Ability to synthesize quantitative insights into clear narratives/business recommendations. Nice to Have / Preferred Python for analysis/automation; code optimization for reporting workflows. Copilot/GenAI literacy for EDA, summarization, and prompt driven content creation; familiarity with Agentic AI use cases in analytics. Ways of Working Regular participation in team huddles and reporting connects; cadence ownership for Quality updates. Cross functional collaboration with quality/risk leads; disciplined documentation of reports and assumptions. Location Hyderabad (primary) or Bengaluru, based on team distribution and stakeholder proximity. ________________________________________ Tool & Platform Expertise (target list) Data & Visualization Power BI, Qlik Sense, Tableau, Excel (modeling, performance tuning, enterprise dashboard publishing). Data Engineering SQL (ETL, transformations, QA checks); Data Lake extractions; data profiling and anomaly detection. Programming & Automation Python for analytics pipelines, EDA, and code optimization within reporting workflows. AI Assisted Analytics Microsoft Copilot and Generative/Agentic AI for summaries, topic extraction, RCA comment analysis, and productivity chains. Collaboration & Cadence Ownership of reporting connects and participation in team huddles; disciplined report publication and communication.

TBD

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.

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