Marketing Data Analyst
CORP0000 - SSC, United States
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Dave & Buster's
Eat, drink, play and watch sports at your local Dave & Buster's! Fun for the whole gang - no group is too large - Contact a planner todayJob Description:
We are seeking a highly skilled and collaborative Marketing Data Analyst to bridge the gap between data engineering and data analysis. In this role, you’ll transform raw data into clean, tested, and well-documented datasets that enable self-service analytics and strategic decision-making across the organization.
You’ll work closely with data engineers, analysts, and business stakeholders to design and maintain data models, pipelines, and analytics infrastructure that support scalable, reliable, and insightful data use.
This role is a part of the Growth Marketing function within the marketing department, directly reporting into the Senior Director, Growth Marketing.
What You’ll Do
- Pipeline Development: Establish data pipelines for key marketing sources
- Model Development: Build and maintain scalable, reusable, and well-documented data models using tools like dbt (or equivalent).
- Build or maintain computed or predictive models to advance marketing effectiveness
- Data Transformation: Design ELT processes to transform raw data into structured, analytics-ready tables.
- Quality Assurance: Implement data validation and testing frameworks to ensure high data integrity and reliability.
- Cross-functional Collaboration: Work with analysts, data engineers, and business teams to understand data needs and ensure alignment with analytical goals.
- Performance Optimization: Monitor query and pipeline performance, identifying opportunities to improve efficiency and reduce cost.
- Documentation & Enablement: Maintain clear documentation for data models and pipelines, and support the analytics team in using data effectively.
- Data Governance: Contribute to data governance practices, ensuring consistency, privacy, and compliance across datasets.
- Data Analysis: Support Data analysis when/where needed
Qualifications:
Required:
- 1-3+ years of experience in analytics engineering, data engineering, or analytics-focused roles
- Proficiency with SQL and data modeling best practices (e.g., medallion schemas)
- Proficient in branding strategies, Git/GitHub workflows and collaborative development
- Experience with dbt, Airflow, or similar ELT/ETL tools
- Strong understanding of modern data warehouses (e.g.,Databricks)
- Strong understanding of modern marketing concepts and platforms (e.g. CDPs, Clean Rooms, Lifecyle Marketing)
- Experience with Git and version control for analytics workflows
- Familiarity with BI tools (e.g., Power BI)
- Excellent communication and stakeholder management skills
Preferred:
- Experience in a cloud-based data environment (e.g., Azure)
- Exposure to programming languages like Python or R
- Familiarity with CI/CD pipelines and data testing frameworks (e.g., Great Expectations, dbt tests)
- Prompt engineering skills for code generation and problem solving
- Background in statistics, analytics, or computer science
WHAT’S IN IT FOR ME?:
Dave & Buster’s / Main Event is an imaginative and dynamic company dedicated to creating innovative entertainment experiences that bring joy, laughter, and excitement to people of all ages. Our mission is to foster a culture of fun and creativity, and we take pride in our commitment to delivering memorable and unique entertainment solutions.
- Exclusive discounts on food and games at D&B & Main Event.
- Paid Time Off (PTO) that increases with tenure.
- 11 Company Holidays (Including your Birthday) & 2 Floating Holidays per year.
- Medical, dental, vision and voluntary benefits
- Sub Benefits:
- Livongo and Telehealth benefits
- 401k with company match following 6 months of employment.
- Buster’s Legacy Fund (Support Team Members during difficult Times)
- Employee Assistance Program (EAP) Offerings.
- Work out facility on-site.
- Employee Power Card | Free Video Games.
We work hard, play hard and have FUN!
Salary Range:
72000-
96000We are an equal opportunity employer and participate in E-Verify in states where required.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Azure CI/CD Computer Science Data analysis Databricks Data governance Data pipelines dbt ELT Engineering ETL Git GitHub ML models Pipelines Power BI Privacy Prompt engineering Python R SQL Statistics Testing
Perks/benefits: 401(k) matching Career development Health care Startup environment
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