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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.
₹0 - ₹0 a year
We offer you a competitive total rewards package, learning, and tremendous
opportunities to grow and advance in your career. At Saviynt, it is not typical for an
individual to be hired at or near the top of the range for their role, and final
compensation decisions are dependent on many factors, including, but not limited to,
location, skill sets, experience and training, licensure and certifications, and other
relevant business and organizational needs.
You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to
the program rules, under which an award, if any, depends on various factors, including,
without limitation, individual and organizational performance.
Saviynt is a fantastic place to work. We are a high-growth Platform-as-a-Service
company focused on Identity Authority to power and protect the world at work. You will
experience tremendous growth and learning opportunities through challenging yet
rewarding work that directly impacts our customers, all within a welcoming and positive
work environment. If you're resilient and enjoy working in a dynamic environment, you
belong with us!
Saviynt is an equal opportunity employer, and we welcome everyone to our team.
All qualified applicants will receive consideration for employment without regard
to race, color, religion, sex, sexual orientation, gender identity, national origin,
disability, or veteran status.
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