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Risk Analyst - Data

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Onsite

Risk Analyst - Data

Neuroglia Health

Risk Analyst - Data

Skills

SQL QueriesData MiningPythonData AnalysisMachine LearningNo-code AutomationsComplianceRisk Management

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹350,000 – ₹400,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

12 August 2026

What they need


About the Role:

We are looking for a detail-oriented and analytical Risk Analyst to join our team. The ideal candidate is passionate about working with data, identifying risks, improving operational efficiency through automation, and delivering high-quality outcomes. This role requires someone proactive, adaptable, and committed to achieving key performance indicators (KPIs) in a fast-paced environment.

Key Responsibilities:

  • Analyse large volumes of data to identify trends, anomalies, and potential risks.
  • Design, build, and maintain SQL queries for data extraction, validation, and analysis.
  • Develop automated workflows and reporting solutions to improve operational efficiency.
  • Monitor business and operational risk metrics, investigate exceptions, and recommend corrective actions.
  • Create dashboards, reports, and performance metrics for stakeholders.
  • Ensure data quality, accuracy, and consistency across all analyses and reports.
  • Collaborate with cross-functional teams to improve processes and reduce operational risks.
  • Meet individual and team KPIs while maintaining high standards of quality and accuracy.

Required Skills:

  • Strong proficiency in SQL (joins, CTEs, window functions, aggregations, subqueries, query optimisation, etc.).
  • Advanced Excel skills
  • Ability to identify opportunities for automation and process optimisation.
  • Strong analytical and problem-solving abilities.
  • Experience working with large datasets and deriving actionable insights.
  • Self-driven with a strong sense of ownership and accountability.

Preferred / Added Advantage:

  • Knowledge of Python for data analysis, scripting, or automation.
  • Exposure to Machine Learning concepts or predictive analytics.
  • Understanding of risk management, fraud analytics, compliance, or operational risk.

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