Analytics and Modeling Specialist

Analytics and Modeling Specialist

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.