Senior Business Intelligence Developer

Saviynt is an identity authority platform built to power and protect the world at work. In a world of digital transformation, where organizations are faced with increasing cyber risk but cannot afford defensive measures to slow down progress, Saviynt’s Enterprise Identity Cloud gives customers unparalleled visibility, control and intelligence to better defend against threats while empowering users with right-time, right-level access to the digital technologies and tools they need to do their best work.

We are seeking a motivated Sr. Business Intelligence developer (Tableau) with 5-8 years of experience in tableau to join our growing data team. This role is ideal for candidates eager to build a career in Analytics, working closely with Business, analysts, and snowflake data engineers. You will contribute to designing, building, and maintaining Tableau report and Tableau Platform that ensure reliable, high-quality tableau reports for business decision-making.

WHAT YOU WILL BE DOING:
• Developed Enterprise Grade BI Solution Development in Tableau.
• Design, develop, and deploy business intelligence solutions (e.g., dashboards, reports, data visualizations) using BI tools like Tableau. Also be able to design, develop and deploy reporting solutions using native application report builders.
• Develop complex queries, reports, stored procedures, and data models to support business intelligence requirements.
• Leverage a wide range of BI technologies and platforms to build interactive dashboards, visualizations, and automated reports that provide meaningful insights to business users.
• Implement and integrate data from various sources into BI platforms, ensuring BI Tool Administration & Configuration:
• Oversee the administration and configuration of BI tools to ensure optimal performance, security, and scalability.
• Monitor BI tool performance and make recommendations for improvements or adjustments as needed.
• Manage user permissions and security roles within BI platforms to ensure data governance and compliance.
• Troubleshoot data integration issues and work with the data engineering team to resolve any discrepancies or data quality issues.
• Documentation & Reporting:
• Develop and maintain documentation for BI solutions, including data models, data flow diagrams, report specifications, and user guides.
• Document all development processes, queries, and configurations to ensure consistency and maintainability.
• Create clear, actionable documentation for users, guiding them through how to access, interpret, and utilize BI solutions effectively.
• Testing & Quality Assurance:
• Perform functional, regression, and performance testing on BI reports, dashboards, and data models to ensure data accuracy, reliability, and optimal performance.
• Work with business stakeholders to perform user acceptance testing (UAT) on BI solutions before full deployment.
• Continuously monitor and improve the quality of BI solutions through ongoing testing and feedback.

• Technical Skills:
• Advanced proficiency in Tableau is must; experience with multiple tools (power BI, Qlikview) is a plus.
• Strong experience with SQL for data extraction, manipulation, and reporting.
• Familiarity with ETL processes and data integration tools (e.g., SSIS, Alteryx, Talend) is beneficial.
• Knowledge of data warehousing, cloud platforms (e.g., AWS, Azure), and big data technologies is advantageous.

WHAT YOU BRING::
• Bachelor or Master’s degree in a related field (e.g. Computer Science ,Data Analytics, Business Intelligence ,Information Systems, Business Analytics).
• 5+ years of experience in BI development or a related field, with a strong background in developing data-driven solutions using BI tools.
• Proven experience in the development, deployment, and maintenance of BI reports, dashboards, and data visualizations.
• Experience with database systems (SQL, OLAP, or data warehousing) and data modeling concepts.
• Tableau developer/ Admin Certifications is Must.
• Familiarity with Agile development methodologies.
• Knowledge of data governance, privacy, and security best practices.
• Experience with database systems (SQL, OLAP, or data warehousing, snowflake) and data modelling concepts.