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Analytics and Modeling Specialist
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- Posted 3 days ago
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Job Description
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.
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.
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