Enterprise Data Analyst & BI Insights

Dave & Buster's Inc.; Coppell (TX); Hybrid; USD 67,000 - 90,000; Full time

Benefits offered by this job

Discounts on food and games

PTO with tenure-based increases

11 company holidays + 2 floating

Job summary

Dave & Buster’s is seeking a Data Analyst to transform complex data into actionable insights and trusted reporting. You will partner with business and tech teams to support enterprise reporting, data governance, and strategic initiatives.

The role is based full-time at the Store Support Center in the Dallas–Fort Worth area (hybrid: 4 days in-office, 1 day remote). Collaboration with Data Engineering and Architecture is key to modernizing our data platform.

Qualifications

• Bachelor's degree in a data-related field required.
• 1–2+ years experience in data analytics, BI, or reporting.
• Experience building dashboards and data visualizations for stakeholders.
• Experience supporting cross-functional initiatives with business and tech teams.
• Experience with enterprise data warehouses and large datasets.

Responsibilities

• Conduct ad hoc analyses to support operational, financial, and strategic decisions.
• Develop SQL queries, datasets, data models, and analytical solutions for self-service reporting.
• Create dashboards, scorecards, reports, and KPI tracking solutions.
• Partner with stakeholders to gather requirements and translate needs into specs.
• Support data governance initiatives including metadata management and data quality.

Skills

Advanced SQL

Power BI

Tableau

Dimensional modeling

Data governance

Databricks

Python

Education

Bachelor's degree

Master's degree

Job description

Dave & Buster’s is seeking a Data Analyst to transform complex data into actionable insights and trusted reporting. You will partner with business and tech teams to support enterprise reporting, data governance, and strategic initiatives.

The role is based full-time at the Store Support Center in the Dallas–Fort Worth area (hybrid: 4 days in-office, 1 day remote). Collaboration with Data Engineering and Architecture is key to modernizing our data platform.