What is the salary for this Data Analyst role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with Saviynt.

Where is this Data Analyst position located?

This is an on-site position at Saviynt located in Bengaluru.

How do I apply for this Data Analyst job at Saviynt?

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Saviynt is actively hiring for Data roles. Visit the company page to see all open positions and learn more about working at Saviynt.

Data Analyst

Saviynt Bengaluru 1 day ago

data

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

Data Analyst role is essential for transforming raw business data into actionable insights,

supporting data-driven decision-making across the Global Support Department, and

improving operational efficiency. The Data Analyst will play a crucial role in shaping

reporting and analytics for internal stakeholders.

The Analytics Team is dedicated to extracting value and strategic direction from

datasets. Our core purpose is to provide accurate, timely, and insightful data analysis

that informs business strategy, optimizes processes, and drives continuous

improvement across the company.

WHAT YOU WILL BE DOING

Analyze complex datasets to identify trends, patterns, and insights that can drive

business decisions.

Develop and maintain dashboards and reports using data visualization tools (e.g., Tableau) to track key performance indicators (KPIs) and operational metrics.

Collaborate with cross-functional teams to understand data requirements and deliver relevant analyses.

Design, develop, and automate reports and data workflows to improve efficiency and data accessibility.

Ensure data quality and integrity by performing regular audits and validation checks.

Present findings and recommendations clearly and concisely to non-technical stakeholders using tools like PowerPoint and Excel.

Assist in the creation of predictive models and forecasts to support planning initiatives.