Business Intelligence Analyst

Business Intelligence Analyst 📍 Location: Santa Clara, CA, US 🏢 Industry: Computer Hardware Manufacturing 💼 Work Setting: Onsite Are you passionate about turning complex business data into strategic insights, leveraging AI-powered analytics, and influencing executive decision-making through compelling data storytelling?

We are seeking a Business Intelligence Analyst to drive data-informed decision-making across marketing, sales, and business operations. This role partners closely with senior leadership to transform large datasets into actionable insights, develop executive dashboards, and build analytical frameworks that measure business performance and guide strategic investments.

The ideal candidate combines advanced analytical expertise with strong business acumen, executive communication skills, and an AI-first mindset.

Key Responsibilities

• Business Intelligence & Strategic Analytics Analyze complex marketing, sales, customer, and operational datasets to identify trends, opportunities, risks, and growth drivers.
• Develop data-driven recommendations that support strategic planning, investment decisions, and business performance optimization.
• Partner with executives and business leaders to translate analytical findings into actionable business strategies.
• Conduct exploratory, diagnostic, predictive, and performance analyses to support organizational objectives.
• Deliver insights that influence key business initiatives and long-term planning.

Dashboard Development & Data Visualization

Design, develop, and maintain executive-level dashboards, scorecards, and reporting solutions. Create intuitive visualizations that communicate complex information clearly and effectively. Develop KPI frameworks to measure business outcomes, campaign effectiveness, and operational performance.

Ensure reporting solutions provide timely, accurate, and actionable information for stakeholders. Continuously improve reporting capabilities through automation and enhanced visualization techniques.

Data Modeling & Advanced Analysis

Build scalable data models that enable deeper business analysis and support self-service reporting capabilities. Apply statistical methodologies to evaluate business performance, identify trends, and uncover meaningful insights. Develop forecasting models, performance metrics, and analytical frameworks that support decision-making.

Validate data quality, investigate anomalies, and ensure analytical accuracy across reporting environments. Leverage quantitative techniques to solve complex business challenges.

AI-Driven Analytics & Automation

Develop and implement AI-assisted workflows that improve analytical efficiency and accelerate insight generation. Leverage modern AI tools and automation technologies to streamline reporting, data preparation, and analysis processes. Identify opportunities to integrate AI-powered solutions into business intelligence functions.

Evaluate emerging technologies that enhance decision support, forecasting, and operational intelligence. Champion an AI-native approach to problem-solving and analytics innovation. Executive Communication & Storytelling Translate complex analytical findings into clear, concise, and compelling narratives tailored to executive audiences.

Prepare presentations, reports, and strategic recommendations for senior leadership. Connect data insights directly to business impact, financial outcomes, and strategic objectives. Present findings confidently to stakeholders across business and technical functions.

Enable leaders to make informed decisions through effective data storytelling.

Stakeholder Collaboration

Work closely with marketing, sales, finance, operations, and technology teams to understand business goals and analytical needs. Gather requirements and translate business questions into measurable analytical solutions. Build trusted relationships with stakeholders and serve as a strategic advisor on data-driven decision-making.

Support cross-functional initiatives through data analysis, reporting, and performance measurement. Promote a culture of data literacy and analytical excellence across the organization.

Required Qualifications

• Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, Mathematics, Computer Science, Finance, or a related quantitative field.
• 8+ years of experience in business intelligence, analytics, management consulting, strategy, or a similarly analytical role.
• Proven experience delivering insights and recommendations to senior executives and business leaders.
• Strong background in statistical analysis, data modeling, and business performance measurement.
• Experience working with large, complex datasets to solve business challenges.
• Technical Skills Advanced proficiency in SQL for data extraction, transformation, and analysis.
• Strong experience using Python for analytics, automation, and statistical modeling.
• Expertise in business intelligence and data visualization platforms such as Power BI, Tableau, Looker, or similar tools.
• Strong understanding of data modeling, KPI development, and reporting architecture.
• Experience applying statistical techniques, forecasting methodologies, and quantitative analysis.
• Familiarity with data warehousing, analytics platforms, and enterprise reporting ecosystems.
• Experience building automated reporting and AI-assisted analytical workflows.
• Knowledge of modern analytics, machine learning, and AI-enabled decision-support technologies.

Preferred Qualifications

• Experience supporting marketing, revenue, sales, or go-to-market organizations.
• Background in management consulting, business strategy, corporate analytics, or executive advisory functions.
• Experience implementing AI-powered analytics solutions and workflow automation.
• Familiarity with cloud-based analytics platforms and modern data architectures.
• Advanced degree in Analytics, Data Science, Business Administration, Economics, Statistics, or a related discipline.