Business Intelligence Analyst

MUST live in Austin

Must be a US Citizen

As a Business Intelligence Analyst, you will be a key support member of our BI & Analytics team, partnering with internal Revenue Operations business units to support data-driven decisions. You will help our internal customers by turning raw data into clear, actionable insights.

The ideal candidate is curious, detail-oriented, and eager to learn. You must have a foundational understanding of data analysis, SQL, and data visualization principles and a passion for solving business problems. This role provides an excellent opportunity to grow your technical skills and business acumen in a fast-paced, supportive environment.

Desired Attributes

• Strong analytical mindset and exceptional attention to detail.

• Proactive problem-solving skills, with the ability to independently analyze and resolve data challenges.

• A strong curiosity and passion for learning new technologies and business processes.

• Good organizational and time-management skills.

• Can understand broad business context and begin to translate them into data analysis with guidance.

Responsibilities:

• Partner with stakeholders to understand their business questions and reporting needs.

• Contribute to core analytics projects and initiatives that support corporate strategy.

• Query data from our data warehouse using SQL to support ad hoc analysis.

• Develop, maintain, and enhance interactive dashboards in Tableau to track key performance indicators (KPIs).

• Use Excel for data cleaning, manipulation, and quick analysis (e.g., pivot tables, lookups).

• Assist in scoping and defining analysis projects into well-defined milestones.

• Learn and contribute to data models within our dbt (data build tool) environment under the guidance of senior team members.

• Proactively identify, troubleshoot, and escalate data quality or dashboard performance issues.

• Maintain relationships and communicate clearly with internal stakeholders regarding project status and manage expectations.

• Conduct regular and ad hoc analysis and reporting of data.

Requirements:

• Bachelor's degree in Analytics, Business, Computer Science, Economics, or a related field (or equivalent experience).

• 0-2 years of relevant experience in data analysis, business intelligence, or a similar field (strong internship or project experience is highly valued).

• Proficiency in Excel, including pivot tables, lookups, and charting.

• Strong foundational knowledge of SQL for data querying and manipulation.

• Experience with a data visualization tool, preferably Tableau (building dashboards, calculated fields).

• Familiarity with or a strong desire to learn DBT and data modeling concepts.

• Ability to analyze information and effectively present concepts in written, spreadsheet, and presentation formats.

• Excellent interpersonal and organizational skills.

• Ability to support the analytics team and internal customers on tight deadlines.

Onboarding Plan & Milestones

First 30 Days: Foundation & Immersion

• Learn the company's data strategy, key data sources, and business KPIs.

• Get trained on the BI toolkit: data warehouse, Tableau Server, and DBT environment.

• Meet key stakeholders in your assigned business units to understand their functions.

• Shadow the data request and dashboard development process.

• Complete your first ad hoc data pull using SQL.

Days 31-60: Integration & Contribution

• Begin to support small-to-medium-sized Tableau dashboard enhancement requests.

• Assist a senior analyst on a larger analytics project.

• Contribute to a DBT model under supervision.

• Take ownership of a recurring report, ensuring its accuracy and timeliness using Excel or Tableau.

Days 61-90: Ownership & Optimization

• Begin to manage a simple dashboard build from requirements gathering to delivery.

• Present your findings from an analysis to a stakeholder with support from your manager.

6-Month Goals

• Demonstrate growing ownership of several key dashboards or reports.

• Show solid proficiency in SQL and Tableau, handling most common requests independently.

• Build strong, trust-