Business Intelligence Analyst

Dallas Mavericks; Dallas (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

Dallas Mavericks is seeking a Business Intelligence Analyst to join Strategy & Analytics. You will translate marketing, audience, and transactional data into robust dashboards, measure ROI, and provide data-driven insights to leadership.

You will partner with data engineering, analytics, and sales to ingest and model data from CRMs, ad platforms, and web analytics. Strong SQL, data visualization, and communication skills are essential to turn complex data into actionable growth strategies.

Qualifications

• 2-4 years in BI, data science, or analytics; sports/entertainment or high-growth tech preferred.
• Strong SQL, data querying, and data transformations with cloud warehouses.
• Experience with marketing/web analytics and marketing platforms.
• Strong communication and cross-functional collaboration.

Responsibilities

• Design, build, and maintain dashboards and reports to track KPIs like CAC, LTV, ROI, and conversion rates.
• Analyze the performance of multi-channel marketing campaigns (paid, email, organic, web).
• Partner with data engineering to ingest, clean, and model marketing data from CRMs, ad platforms, and web analytics.
• Conduct exploratory data analysis to answer critical business questions from leadership.

Skills

SQL querying

Data visualization

Statistical basics

Analytical mindset

Communication skills

Team collaboration

Problem solving

AI tooling familiarity

Education

B.S. or B.A. in business analytics or related field

Tools

Power BI

Tableau

Looker

GA4

Adobe Analytics

GTM

Google Ads

Meta Ads Manager

HubSpot

Salesforce

SFMC

Marketo

Python

R

Job description

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.

ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITES:

• BI & Dashboard Development: Design, build, and maintain automated, scalable dashboards and reports to track key performance indicators (KPIs) such as CAC, LTV, ROI, and conversion rates.
• Campaign Performance & Analytics: Analyze the performance of multi-channel marketing campaigns (paid media, email, organic, web)
• Data Pipelines & Modeling: 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.
• Ad-Hoc Analysis: Conduct exploratory data analysis to answer critical business questions from executive leadership and stakeholders.

CORE COMPETENCIES:

• Data Querying & Manipulation: Strong proficiency in SQL (writing complex queries, joins, and aggregations) to extract and manipulate data from cloud data warehouses.
• Data Visualization: Proven experience building clean, intuitive, and stakeholder-ready dashboards using modern BI tools.
• Data Modeling Concepts: Familiarity with relational databases, data warehousing concepts (e.g., star schemas), and how marketing data structures align.
• Statistical Basics: Understanding of A/B testing methodologies, statistical significance, and basic forecasting techniques.
• Analytical Curiosity: A natural urge to dig deeper into the "why" behind the data, rather than just reporting the "what".
• Attention to Detail: High commitment to data integrity, validating reports thoroughly before presenting findings.
• Team Player: 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.

SKILLS AND QUALIFICATIONS

• 2-4 years of experience in business intelligence, data science, or other highly analytical role. Experience within sports, entertainment, or a high-growth tech environment is preferred.
• Technical Stack includes, but not limited to:
• 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.
• Optional/Plus: Basic Python or R for data manipulation and modeling.
• 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.

EDUCATION:

• 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. Advanced degree preferred.

JOB TYPE:

Full Time

The Dallas Mavericks provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.