Enterprise Data Analyst - BI Insights & Governance

Dave & Buster's Management Corporation, Inc.; United States; On-site; USD 67,000 - 90,000; Full time

Benefits offered by this job

Discounts on food and games

Paid time off

11 company holidays

Medical/dental/vision benefits

401k with company match

On-site gym

Job summary

Dave & Buster’s is seeking a Data Analyst to transform data into actionable insights and support enterprise reporting, governance, and strategic initiatives. You will partner with business and technology teams to deliver trusted reporting solutions and enable data-driven decision-making across the organization.

The role emphasizes data quality, requirement gathering, and collaboration with Data Engineering and Data Architecture to support modernization efforts and KPI standardization.

Qualifications

• Bachelor's degree or higher in a relevant field.
• Experience building dashboards and reports for business stakeholders.
• Experience working 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.
• Create dashboards, scorecards, and KPI tracking using enterprise platforms.
• Collaborate with stakeholders to gather requirements and translate needs into technical specs.
• Support data governance initiatives and data quality efforts.

Skills

SQL development

Data analysis

Dashboard creation

Education

Bachelor's degree in Data Analytics, Information Systems, Business Administration, Finance, Computer Science, Statistics, or related field

Master's degree preferred

Tools

Power BI

Tableau

Databricks

Job description

Dave & Buster’s is seeking a Data Analyst to transform data into actionable insights and support enterprise reporting, governance, and strategic initiatives. You will partner with business and technology teams to deliver trusted reporting solutions and enable data-driven decision-making across the organization.

The role emphasizes data quality, requirement gathering, and collaboration with Data Engineering and Data Architecture to support modernization efforts and KPI standardization.