Senior Business Intelligence Developer

Fortinet•Sunnyvale, CA

4d•$150,000 - $183,000

About The Position

We are seeking a visionary and highly skilled Senior Business Intelligence Developer to spearhead the evolution of our analytics ecosystem. In this role, you will bridge the gap between traditional business intelligence and modern artificial intelligence. You will design, develop, and deploy enterprise-grade analytics solutions using Tableau, while integrating cutting-edge AI tools (such as generative AI, automated machine learning, and predictive analytics) to transform raw data into autonomous, actionable insights.

Requirements

8+ years of professional experience writing advanced calculations, data modeling, and developing enterprise-scale deployments in Tableau.
Hands-on experience deploying modern AI/BI features.
Expert-level proficiency in SQL.
Strong working knowledge of Python or R for advanced data manipulation and statistical modeling.
Proven experience working with cloud data platform stacks (Databricks, Google BigQuery, Azure Synapse, or Snowflake).
Strong analytical mindset with an eye for UI/UX design and data storytelling.
Ability to work autonomously in a fast-paced environment and manage multiple project timelines.
Exceptional communication skills to explain technical AI concepts to business stakeholders.
Must be authorized to work in the U.S. without sponsorship.

Nice To Haves

Power BI, Zoho Analytics, Qlik Sense
Certifications such as Tableau Desktop/Server Certified Professional.
Experience with cloud-native AI services (Azure AI, AWS Bedrock, or Google Cloud AI).
Familiarity with Agile/Scrum methodologies.

Responsibilities

Design, build, and maintain highly interactive, scalable, and visually compelling dashboards in both Tableau.
Optimize complex data models, DAX queries, and Tableau calculations to ensure rapid report performance and seamless user experience.
Migrate legacy reporting systems into modern, AI-augmented BI frameworks.
Embed native and third-party AI functionalities (e.g., Tableau Pulse, Einstein AI) into the analytics workflow to provide predictive insights and natural language querying.
Collaborate with data science teams to operationalize machine learning (ML) models, bringing predictive and prescriptive data directly into executive-level dashboards.
Leverage Generative AI tools to automate data preparation, code generation (SQL/DAX/Python), and insight summarization.
Write complex, optimized SQL queries and build efficient data pipelines to extract, transform, and load (ETL/ELT) data from cloud warehouses (e.g., SSIS, Databricks, BigQuery or Snowflake).
Implement robust row-level security (RLS) and data governance policies within BI environments.
Act as the subject matter expert (SME) on emerging AI and BI trends, recommending new tools and frameworks to keep the organization ahead of the curve.
Translate complex business requirements from non-technical stakeholders into robust technical blueprints.