Data Analytics Specialist — Remote Dashboards & Insights

sglottery; EE. UU.; A distancia; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Scientific Games is seeking a Data Analyst to turn data into reliable, reusable analysis that informs revenue growth, cost reduction, and operational performance across lottery and iLottery platforms.

The role focuses on building cloud-native analysis in Databricks, validating data, and delivering clear, business-ready findings. You will collaborate with business partners, technical teams, and customer stakeholders, applying SQL and Python skills with an emphasis on automation and repeatability.

Formación

• Bachelor's degree in a quantitative field. A master's is a plus.
• 3+ years in BI/analytics or related roles.
• Strong SQL skills with multi-source data.
• Experience with Databricks or similar cloud analytics platforms.
• Familiarity with Azure/AWS/Google Cloud patterns.
• Python or similar for analysis and automation.
• GitHub or similar version control with reproducible workflows.
• Design of dashboards and visualizations using BI tools.

Responsabilidades

• Create and maintain analyses, reports, dashboards, notebooks, and visualizations.
• Use cloud-native data platforms and Databricks for workflow automation.
• Translate business questions into analytical approaches and actionable recommendations.
• Develop and maintain self-service data products with appropriate visualization tools.
• Collaborate with data engineering and business teams to improve data collection and definitions.
• Review data quality, document assumptions, and communicate findings clearly.
• Produce studies, executive dashboards, and exploratory visualizations to surface insights.

Conocimientos

SQL

Python

Databricks

Version control

Data visualization

Cloud platforms

Educación

Bachelor's degree in a quantitative field

Master's degree in data science/analytics (a plus)

Herramientas

Databricks

GitHub

Tableau/Power BI/Looker/Sigma

Descripción del empleo

Scientific Games is seeking a Data Analyst to turn data into reliable, reusable analysis that informs revenue growth, cost reduction, and operational performance across lottery and iLottery platforms.

The role focuses on building cloud-native analysis in Databricks, validating data, and delivering clear, business-ready findings. You will collaborate with business partners, technical teams, and customer stakeholders, applying SQL and Python skills with an emphasis on automation and repeatability.