Risk Analyst - Data

Neuroglia Health; Bengaluru; On-site; INR 600,000 - 800,000; Full time

Job summary

Neuroglia Health is seeking a detail-oriented Risk Analyst to join our team in Bengaluru. You will analyze large data sets, design SQL queries, and build automated workflows to improve operational efficiency while tracking KPIs with a focus on data quality and accuracy.

The role requires proactive problem solving, strong analytics, and collaboration with cross-functional teams to reduce operational risk and deliver high-quality insights.

Qualifications

• Strong proficiency in SQL with joins, CTEs, and window functions.
• Advanced Excel skills.
• Ability to design automation and dashboards.
• Experience handling large datasets and deriving insights.
• Self-driven with ownership and accountability.

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 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.

Skills

SQL

Advanced Excel

Automation

Analytical thinking

Data analysis

Large data handling

Tools

Python (basic)

Job description

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.