Analytics and Modeling Specialist

Accenture PLC; Bengaluru; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Accenture PLC in India seeks a data analytics professional to drive reporting and KPI cadences across quality analytics. You will gather and publish insights from operational and financial data, partner with risk leads, and turn data into actionable decisions.

The role emphasizes visualization, storytelling, and collaboration across markets. Responsibilities include owning weekly/monthly cycles, building dashboards, profiling data, and coordinating huddles to discuss risks and actions.

Qualifications

• Advanced data visualization and dashboarding across BI tools.
• Strong SQL for ETL, data lake extractions, profiling and quality checks.
• Ability to translate quantitative insights into clear business recommendations.

Responsibilities

• Own end-to-end reporting cycles (weekly/monthly) including KPI definition and insights for quality programs.
• Partner with risk/quality stakeholders to translate needs into dashboards and deliverables.
• Perform ETL, profile data, and ensure accuracy and timeliness of published metrics.
• Design and maintain dashboards/visualizations (Power BI, Qlik Sense, Tableau) with narrative summaries for leadership.
• Coordinate updates with team huddles and lead reporting connections to reviews of status, risks, and actions.
• Identify process-improvement opportunities from analytics work and propose automation enhancements.

Skills

Advanced data visualization

Strong SQL for ETL

Narrative data storytelling

Tools

Power BI

Qlik Sense

Tableau

Excel

Python

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.

TBD

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