Business Intelligence (BI) Analytics Intern

Bedrock Data • San Mateo, CA

6d

About The Position

As our BI Analytics Intern, you won't just be pulling data, you will be building the systems that allow our team to understand it. You will play a foundational role in standing up our analytics environment in Salesforce, extracting actionable insights from transcripts, and establishing a source of truth for our internal data assets to ensure our Sales and Finance teams are completely aligned.

Requirements

• Currently pursuing (or recently graduated with) a degree in Business Analytics, Finance, Data Science, Information Systems, Economics, or a related field.
• A solid understanding of basic sales and financial metrics (pipeline coverage, forecasting, ARR).
• A strong interest in Large Language Models (LLMs) and how conversational AI is transforming business intelligence.
• A systems-thinker who enjoys building structured documentation and keeping complex information organized.

Nice To Haves

• Familiarity with Python or R for data manipulation.
• Familiarity in SQL and experience with data visualization tools.
• Prior exposure to Salesforce (or similar CRM platforms); you understand how sales and revenue data is structured (Leads, Opportunities, Accounts).
• Curiosity building foundational analytics.

Responsibilities

• Design and deploy custom analytics within Salesforce, establishing KPI reporting for pipeline health and sales velocity, and building robust forecasting dashboards.
• Audit existing Salesforce data quality and work with stakeholders to clean, normalize, and structure data for reliable reporting.
• Design finance dashboards in Salesforce to track critical metrics (e.g., ARR, pipeline, and win rates), ensuring the Finance team has real-time access to accurate, reliable data.
• Establish a cadence of automated, self-serve reporting for the Sales and Finance leadership teams.
• Analyze LLM-generated transcripts, summaries, and sales call data to uncover trends in buyer sentiment, objection handling, and win/loss drivers.
• Establish and structure an internal knowledge repository, documenting data models and building a data dictionary.
• Partner directly with Sales, Finance, RevOps, and Product teams to understand their unique data needs and translate business questions into technical requirements.

Benefits

• High-Impact Projects: You will build revenue and data infrastructure that the company will rely on long after your internship ends.
• Mentorship: Work closely with senior leaders across multiple departments (Sales, Finance, Ops) who are invested in your growth.
• Hands-on AI Experience: Real-world experience analyzing unstructured data using cutting-edge LLM tooling.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed