Accenture hiring for Analytics and Modeling Associate

Roles and Responsibilities: 

•Key Accountabilities
• Data Modeling & Reporting Architecture: Maintain scalable data models that compile CRM and source system data into scalable datasets that power dashboards, reporting, and automated insights.
• Sales Reporting, Dashboarding & KPI Management: Maintain, and automate sales reports, PowerBI dashboards, and KPIs to ensure consistent, accurate, and actionable performance visibility.
• Sales Performance & Trend Analysis: Analyze sales activity, pipeline health, conversion trends, and capacity metrics to inform leadership decisions and support forecasting.
• Reporting Operations & Requests: Support reporting , ad hoc requests, and standardized reporting packages with defined SLAs; streamline reporting processes and reduce manual effort.
• CRM Data Support & Hygiene Reinforcement: Support CRM data quality initiatives by assisting with data cleanup, de-duplication efforts, validation checks, and seller follow-ups to reinforce hygiene standards defined by the Sales System Analyst.
• Targets single or multiple contact lists, including inbound inquiries, existing customers, whitespace or other sources, and Decision Makers from multiple business units.
• Monitor and remediate data quality issues including missing DUNS numbers, non-standard field values, and accounts not following creation best practices.
• Monitor pipeline hygiene including stale opportunities and unconverted leads, conduct appropriate outreach, and share performance insights with relevant stakeholders after review.
• Manage account stewardship activities in MS Dynamics including parenting alignment to D&B Hoovers, KN designation management, and ensuring accounts are correctly tagged per defined standards.
• Demonstrate flexibility and adaptability to support evolving business requirements and organizational priorities.
• Collaborate across functions, proactively learn new processes and tools, and take ownership of additional responsibilities as required. Operational Outcome KPIs
•”Reporting accuracy & timeliness (SLA adherence) Dashboard adoption & usage rates Pipeline conversion & trend visibility Leadership satisfaction with reporting outputs Reduction in manual / ad hoc reporting through automation”
•Activity/Execution KPIs
•”Report turnaround time Number of dashboards and datasets automated Reporting request volume managed Data cleanup & de-duplication volume supported CRM hygiene SLA adherence Data validation turnaround time”