Sr. Data Analyst

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.

WHAT YOU BRING:
• 2+ years of professional experience in a Data Analyst or similar role.
• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related quantitative field, or equivalent practical experience.
• Proficiency in querying and manipulating large datasets using SQL in cloud data warehouses, specifically Snowflake.
• Strong experience with data visualization tools, particularly Tableau, for creating impactful dashboards and reports.
• Advanced skills in Google Sheets for data manipulation, analysis, and modeling.
• Demonstrated ability to use Google Slides for clear and compelling presentation of data-driven insights.
• Experience with data automation techniques and tools (e.g., scripting languages like Python) to streamline data pipelines and reporting processes.
• Excellent problem-solving skills and attention to detail.