We are seeking a hands-on, business-minded Business Data Analyst to evaluate, measure, and communicate the outcomes and performance of strategic enterprise partnerships. Operating at the intersection of analytics, business strategy, and cross-functional execution, this role focuses on turning raw performance metrics into clear business insights and executive-ready narratives for senior leadership.
The analytics capability for these initiatives is in an early, agile phase, making this position ideal for a scrappy analytical professional who excels at iterating rapidly, cobbling together disparate datasets, and using modern generative AI tools to accelerate daily reporting workflows.
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Key Responsibilities- Executive Storytelling & Insights: Translate strategic partnership goals into structured analytical frameworks, test key business hypotheses, and deliver executive-ready analyses that synthesize quantitative findings into clear recommendations.
- Cross-Functional Relationship Building: Partner with cross-functional stakeholders across business development, product, finance, and analytics teams to locate data across systems, define key performance indicators, and navigate metric nuances across different product lines.
- Data Sourcing & Querying: Build, validate, and execute light SQL queries to pull and assemble data from diverse enterprise repositories.
- Generative AI Workflow Integration: Actively leverage generative AI tools (such as Claude, OpenAI Codex, or Cursor) in daily workflows to prototype dashboards, automate recurring reporting, ingest data, and accelerate documentation.
- Dashboarding & Prototyping: Consume and analyze data from platforms like Tableau, Splunk, Databricks, Qlik Sense, and Looker, while maintaining flexibility to present insights through rapid AI prototypes, lightweight web pages (HTML/GitHub Pages), or traditional dashboards.
- Proactive Problem Solving: Identify underlying data trends and independently investigate 2nd and 3rd-level follow-up business questions to surface root causes and strategic opportunities.
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Requirements & Qualifications- Experience: Minimum of 3+ years of post-college experience in business analytics, strategy analytics, product analytics, partnership analytics, or strategy consulting.
- Technical Skills: Strong proficiency in SQL querying and navigating enterprise data repositories.
- Generative AI Fluency: Demonstrated hands-on fluency using generative AI tools (e.g., Claude, Codex, Cursor) within daily analytical workflows to automate tasks and prototype rapidly.
- Business Acumen & Storytelling: Strong "left brain / right brain" balance with a proven track record of converting complex quantitative data into executive-level narratives.
- Data Platform Familiarity: Familiarity with enterprise analytics and visualization platforms such as Tableau, Splunk, Databricks, Qlik Sense, or Looker.
- Mindset: Highly scrappy, resourceful, and collaborative with an "MVP" iterative approach to problem-solving.
- Education: Bachelor's or Master's degree in Data Analytics, Statistics, Economics, Mathematics, Computer Science, Engineering, or a related quantitative field.
- Location Requirement: Mandatory on-site attendance 3 days a week at the Mountain View, CA location.
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Preferred / Nice-to-Have Qualifications- Programming Languages: Proficiency in Python, R, or other analytical programming languages is a nice-to-have bonus, but not required.
- Domain Experience: Background in SaaS business models or corporate partnership analytics.
- Clarification on Scope: This is a non-data-engineering and non-data-science position; advanced statistical modelling, cluster analysis, and heavy regressions are not required.
Business Data Analyst, Business Intelligence Analyst, Strategy Analytics Consultant, Product Analytics Analyst, Partnership Data Analyst, Corporate Development Analyst, Quantitative Business Analyst, SQL, Tableau, Splunk, Databricks, Qlik Sense, Looker, Claude, OpenAI Codex, Cursor, Generative AI, HTML, GitHub Pages, Python, R, Data Storytelling, Business Intelligence, Data Pipelines, Workflow Automation, Executive Reporting
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