Business Intelligence Analyst

Dallas Mavericks•Dallas, TX

About The Position

The Business Intelligence Analyst supports the Strategy & Analytics department by combining strategy, business intelligence, advanced analytics, data management, and operational support. The role serves as an analytical consultant to the Marketing department and leaders across the organization, bridging marketing strategy, data engineering, analytics, and sales. The analyst transforms raw marketing, audience, and transactional data into dashboards and evaluates the return on marketing initiatives. The role also provides data analysis for decision support, develops models to identify trends, patterns, and business improvement opportunities, and contributes to longer-term initiatives that help the organization remain competitive. The position calls for strong analytical and communication skills, cross-team collaboration, and an interest in using data to increase engagement and revenue.

Requirements

  • 2–4 years of experience in business intelligence, data science, or another highly analytical role.
  • Strong proficiency in advanced SQL, including complex and performant queries, joins, aggregations, data extraction, manipulation, and transformations.
  • Experience building clean, intuitive, stakeholder-ready dashboards with modern BI tools.
  • Familiarity with relational databases, data warehousing concepts such as star schemas, and marketing data structures.
  • Understanding of A/B testing methodologies, statistical significance, and basic forecasting techniques.
  • Strong analytical curiosity and attention to detail, including validating data and reports before presenting findings.
  • Ability to solve problems, work with ambiguity, develop hypotheses, and logically break down approaches and assumptions.
  • Strong communication and collaboration skills to work across business teams and build rapport with staff, partners, customers, and clients.
  • Proactive, results-oriented, strategic, organized, flexible, deadline-driven, and able to multitask.
  • Ability to work both independently and as part of a team, and willingness to help as needed to advance the business.
  • Proficiency with AI tools, including OpenAI, Gemini, or Claude, while not relying solely on AI tools.
  • Proficiency with MS Office applications, including Excel and PowerPoint.
  • B.S. or B.A. degree, or equivalent degree, in business analytics or a related quantitative field, and 2–4 years of applicable experience.

Nice To Haves

  • Experience in sports, entertainment, or a high-growth technology environment.
  • Basic Python or R skills for data manipulation and modeling.
  • An advanced degree.

Responsibilities

  • Design, build, and maintain automated, scalable dashboards and reports tracking KPIs such as CAC, LTV, ROI, and conversion rates.
  • Analyze multi-channel marketing campaign performance across paid media, email, organic, and web channels.
  • Partner with the data engineering team to ensure marketing data from CRMs, advertising platforms, web analytics, and other source systems is accurately ingested, cleaned, and modeled for reporting.
  • Conduct exploratory data analysis to answer business questions from executive leadership and stakeholders.
  • Provide comprehensive data analysis for decision support and develop models to identify trends, patterns, and business improvement opportunities.
  • Collaborate across teams, help advance the business, and contribute to team best practices and innovative growth approaches.
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