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.

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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