Senior Business Intelligence Developer

Fortinet, Inc.

Sunnyvale (CA)

On-site

USD 150,000 - 183,000

Full time

6 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
401(k)
Paid holidays
Vacation & Sick Time
Vacation
Sick Time
Comprehensive Leave

Job summary

Fortinet, Inc. is seeking a Senior BI Developer to lead enterprise analytics, combining traditional BI with AI capabilities. You will design and deploy enterprise-grade dashboards in Tableau, while embedding AI tools to transform data into actionable insights.

You will work on data pipelines, governance, and collaboration with data science to operationalize ML models. A strong focus on data storytelling and UI/UX in executive dashboards is essential.

Qualifications

  • 8+ years of professional BI experience, with enterprise deployments in Tableau or similar.
  • Strong SQL and data manipulation skills (Python or R) for analytics.
  • Experience with cloud data platforms (Databricks, BigQuery, Azure Synapse, Snowflake).
  • Experience with cloud data platforms: Databricks, BigQuery, Azure Synapse or Snowflake.
  • Nice to have: Power BI, Zoho Analytics, Qlik Sense.

Responsibilities

  • Design, build, and maintain interactive dashboards in Tableau and BI systems.
  • Integrate AI features (Tableau Pulse, Einstein AI) for predictive insights.
  • Develop data pipelines and governance, including RLS and security policies.
  • Collaborate with data science teams to operationalize ML models in dashboards.

Skills

BI expertise
AI & analytics
SQL proficiency
Python or R
Data storytelling
AI/ML
Data modelling
Data storytelling
Cloud platforms

Tools

Databricks
BigQuery
Azure Synapse
Snowflake
Power BI
Qlik Sense
Zoho Analytics

Job description

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.

Key Responsibilities
BI Architecture & Dashboard Engineering
  • 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.
AI Integration & Advanced Analytics
  • 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.
Data Engineering & Governance
  • 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.
Strategy & Collaboration
  • 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.
Required Qualifications & Skills
Technical Core
  • BI Expertise: 8+ years of professional experience writing advanced calculations, data modelling, and developing enterprise‑scale deployments inTableau.
  • AI & Advanced Analytics: Hands‑on experience deploying modern AI/BI features.
  • Data Languages: Expert‑level proficiency in SQL. Strong working knowledge of Python or R for advanced data manipulation and statistical modelling.
  • Data Ecosystems: Proven experience working with cloud data platform stacks (Databricks, Google BigQuery, Azure Synapse ,or Snowflake).
  • Nice to Have: Power BI, Zoho Analytics, Qlik Sense
Soft Skills
  • 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.
Preferred Qualifications
  • 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.

Must be authorized to work in the U.S. without sponsorship.

The US base salary range for this full‑time position is $150,000-$183,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time, as well as a comprehensive leave program.

Wage ranges are based on various factors, including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.

All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at the time of hire and annually at the Company’s discretion.

Why Join Us:

We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well‑being.

Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 890,000+ customers around the globe.

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