Business Intelligence Analyst

Dallas Mavericks • Dallas, TX

8h

About The Position

The Business Intelligence Analyst (BIA) supports the Strategy & Analytics department by combining strategy, business intelligence, advanced analytics, data management, and operational support, serving as a high-impact analytical consultant to the Marketing department and leaders throughout the organization. This role serves as a bridge between marketing strategy, data engineering, analytics, and sales. The ideal candidate will take ownership of transforming raw marketing, audience, and transactional data into building robust dashboards, and measuring the ROI of our marketing initiatives. They will further provide comprehensive data analysis for decision support, develop models to identify trends, patterns, and opportunities for business improvement, and continuously innovate to help us stay competitive with longer-term business initiatives. The ideal candidate pairs a strong analytical mindset with excellent communication skills, a proven ability to collaborate across teams, and a passion for using data to drive engagement and revenue.

Requirements

• Strong proficiency in SQL (writing complex queries, joins, and aggregations) to extract and manipulate data from cloud data warehouses.
• Proven experience building clean, intuitive, and stakeholder-ready dashboards using modern BI tools.
• Familiarity with relational databases, data warehousing concepts (e.g., star schemas), and how marketing data structures align.
• Understanding of A/B testing methodologies, statistical significance, and basic forecasting techniques.
• A natural urge to dig deeper into the “why” behind the data, rather than just reporting the “what”.
• High commitment to data integrity, validating reports thoroughly before presenting findings.
• Self-starter passionate about helping lead the team toward advancing the business. Champion innovative ways to find growth by working within the team environment. Align with team to adopt and develop best practices.
• 2-4 years of experience in business intelligence, data science, or other highly analytical role.
• Advanced SQL - ability to write complex, performant queries and manage data transformations. Uses, but does not rely solely on, AI tools to improve efficiency.
• Marketing & Web Analytics: Google Analytics 4 (GA4) Adobe Analytics, and Google Tag manager (GTM).
• Marketing Platforms: Google Ads, Meta Ads Manager, HubSpot, Salesforce, SFMC, or Marketo.
• Data Visualization: Advanced capabilities in Power BI, Tableau, or Looker.
• Strong ability to solve problems and deal with ambiguity. Hypotheses driven and able to logically break down approach and assumptions.
• Team player, proactive, results-oriented, strategic thinker, highly organized, flexible, and strong analytical skills. Willingness to roll up sleeves and help as needed to advance the business.
• Strong communication skills and collaborative work style to work across multiple business teams to efficiently drive results and impact. Deadline-driven, organized, and able to multi-task.
• Ability to work in a team and on a standalone basis. Ability to develop a collaborative rapport with staff, partners, customers, clients, etc.
• Proficiency with AI tools, including OpenAI, Gemini, Claude, etc.
• Proficiency with MS Office applications including Excel and PowerPoint.
• B.S. or B.A. Degree or equivalent degree in a field of business analytics or related quantitative field and 2-4 years of applicable experience.

Nice To Haves

• Experience within sports, entertainment, or a high-growth tech environment is preferred.
• Optional/Plus: Basic Python or R for data manipulation and modeling.
• Advanced degree preferred.

Responsibilities

• Design, build, and maintain automated, scalable dashboards and reports to track key performance indicators (KPIs) such as CAC, LTV, ROI, and conversion rates.
• Analyze the performance of multi-channel marketing campaigns (paid media, email, organic, web).
• Partner with the data engineering team to ensure marketing data from various source systems (CRMs, ad platforms, web analytics) is accurately ingested, cleaned, and modeled for reporting.
• Conduct exploratory data analysis to answer critical business questions from executive leadership and stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level