Data Analyst: Cloud Analytics & Dashboards (Remote)

SCIENTIFIC GAMES; Englewood (CO); Remote; USD 85,000 - 110,000; Full time

Job summary

Scientific Games is seeking a Data Analyst to turn data into reliable, reusable analyses that help internal teams and lottery customers understand performance, identify opportunities, and make better operating decisions. The role supports reporting, dashboarding, exploratory analysis, and recurring analytical workflows with an emphasis on clarity, accuracy, and repeatability.

The analyst collaborates with business partners, technical teams, and customer stakeholders to define questions, prepare

Qualifications

• Bachelor's degree in mathematics, economics, statistics, data science, computer science, engineering, or another quantitative field.
• At least three years of experience in business intelligence, data analysis, reporting, analytics engineering, data science, or a closely related role.
• Strong SQL skills, including joins, aggregations, filtering, validation, and the ability to work with data from multiple sources.
• Hands on experience with Databricks or comparable cloud analytics platforms, including notebook-based analysis, lakehouse concepts, Spark SQL, or PySpark.
• Familiarity with cloud native analysis patterns in Azure, AWS, or Google Cloud, including shared workspaces, governed datasets, and scalable compute environments.
• Experience with Python for analysis, data preparation, automation, or reproducible analytical workflows.
• Familiarity with GitHub or similar version control tools, including commits, branches, pull requests or review workflows, and readable project documentation.
• Ability to design effective dashboards and visualizations in Tableau, Power BI, Looker, Sigma, or comparable BI tools.

Responsibilities

• Create and maintain analysis, reports, dashboards, notebooks, and visualizations that support revenue growth, cost reduction, operational performance, and customer success.
• Use cloud native data platforms, with emphasis on Databricks, SQL, notebooks, governed datasets, and reusable workflows.
• Translate business questions into clear analytical approaches, data requirements, success measures, and decision-ready recommendations for internal stakeholders and external lottery customers.
• Build and maintain dashboards, reporting assets, and self-service data products using appropriate visualization tools; strong visualization judgment over a specific platform.
• Use GitHub or similar version control practices to manage analytical code, notebooks, documentation, peer review feedback, and reproducible project history.
• Automate recurring analysis, quality checks, data preparation, and distribution steps to deliver more value with less manual effort.
• Collaborate with data engineering and business teams to improve data collection, transformation logic, metric definitions, and shared datasets usability.
• Review data quality, reconcile source differences, document assumptions, and communicate limitations and recommendations clearly.
• Create and maintain studies, research reports, executive dashboards, sales enablement tools, and exploratory visualizations to surface useful insights.
• Identify process improvements that reduce rework and improve trust in data; contribute to durable solutions for future analyses.
• Manage multiple analytics tasks and projects, balancing stakeholder requests with documentation and reliable practices.
• Work effectively in a remote environment, leveraging collaboration tools and shared documentation to align stakeholders.
• Travel to lottery and corporate locations occasionally as needed.

Skills

SQL

Python

Databricks

GitHub

Data visualization

Communication

Data quality

Analytical thinking

Education

Bachelor's degree in quantitative field

Master's in data science/analytics

Tools

Databricks

Tableau/Power BI

Spark SQL / PySpark

GitHub

Azure/AWS/GC cloud

Job description

Scientific Games is seeking a Data Analyst to turn data into reliable, reusable analyses that help internal teams and lottery customers understand performance, identify opportunities, and make better operating decisions. The role supports reporting, dashboarding, exploratory analysis, and recurring analytical workflows with an emphasis on clarity, accuracy, and repeatability.

The analyst collaborates with business partners, technical teams, and customer stakeholders to define questions, prepare