Data Analyst

About the Company

Scientific Games is a global provider of lottery games, sports betting, and technology solutions, serving government lotteries worldwide. The company develops backend systems, entertainment experiences, and retail and digital solutions for the lottery industry. Its work includes data analytics and iLottery, supported by a focus on innovation, performance, security, and trusted partnerships.

About the Role

Scientific Games is seeking a Data Analyst to turn data into reliable, reusable analysis that helps internal teams and lottery customers understand performance, identify opportunities, and make informed business decisions.

In this role, you will work across reporting, dashboard development, exploratory analysis, and recurring analytical workflows. You will collaborate with business partners, technical teams, and customer stakeholders to define analytical requirements, prepare and validate data, and communicate findings clearly. The position emphasizes SQL, cloud-based analytics platforms such as Databricks, Python, version control, and automation.

Key Responsibilities

• Create and maintain reports, dashboards, notebooks, analysis, and visualizations that support revenue growth, cost reduction, operational performance, and customer success
• Use cloud-native data platforms, particularly Databricks, SQL, notebooks, governed datasets, and reusable workflows
• Translate business questions into analytical approaches, data requirements, success measures, and actionable recommendations
• Develop dashboards, reporting assets, and self-service data products using appropriate visualization tools
• Use GitHub or similar version control tools to manage analytical code, notebooks, documentation, peer reviews, and project history
• Automate recurring analysis, data preparation, quality checks, and distribution processes where practical
• Work with data engineering and business teams to improve data collection, transformation logic, metric definitions, and shared datasets
• Review data quality, reconcile differences between data sources, document assumptions, and communicate limitations and recommended next steps
• Develop research reports, studies, executive dashboards, sales enablement tools, and exploratory visualizations
• Identify process improvements that reduce rework, strengthen data reliability, and make analysis easier to repeat
• Manage multiple analytics projects and stakeholder requests while maintaining clear documentation and reliable analytical practices
• Work effectively with remote teams through collaboration tools, written updates, and shared documentation
• Travel occasionally to lottery and corporate locations as needed

Required Qualifications

• Bachelor's degree in Mathematics, Economics, Statistics, Applied Statistics, Data Science, Computer Science, Engineering, or another quantitative field
• At least 3 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 working with data from multiple sources
• Hands-on experience, coursework, certification, or practical exposure to Databricks or comparable cloud analytics platforms
• Understanding of notebook-based analysis, lakehouse concepts, Spark SQL, or PySpark
• Familiarity with cloud analytics environments such as Azure, AWS, or Google Cloud, including shared workspaces, governed datasets, and scalable computing
• Experience with Python or a similar language for analysis, data preparation, automation, or reproducible workflows
• Familiarity with GitHub or comparable version control tools, including commits, branches, pull requests, review workflows, and project documentation
• Ability to create effective dashboards and visualizations using Tableau, Power BI, Looker, Sigma, or similar BI tools
• Strong attention to detail and the ability to collect, organize, analyze, interpret, and communicate information accurately
• Ability to explain analytical findings, trade-offs, and recommendations clearly to business teams, executives, and customers

Preferred Qualifications

• Master's degree in Data Science, Applied Statistics, Analytics, or a related field
• Experience developing reusable data models, metric layers, feature datasets, or certified analytical tables
• Experience automating recurring reporting and analytics workflows using scheduled jobs, orchestration tools, notebooks, scripts, or CI-style validation
• Working knowledge of data quality practices, testing, data lineage, documentation, and governance
• Experience with Alteryx, dbt, Airflow, Azure Data Factory, or similar transformation and orchestration tools
• Familiarity with forecasting, segmentation, regression, classification, or other statistical methods used in business analysis
• Experience supporting sales, operations, gaming, lottery, retail, or other transaction-focused business areas

Skills & Abilities

• Looks for ways to make analytical work reusable, maintainable, auditable, and scalable
• Balances speed with accuracy by documenting assumptions, validating results, and developing repeatable workflows
• Communicates effectively with technical teams, business partners, executives, and customer stakeholders
• Works collaboratively, welcomes feedback, and contributes to shared analytical standards
• Manages multiple priorities and deadlines while adapting to changing business needs and data requirements
• Willingness to learn new tools, programming languages, platforms, and analytical methods

Physical Requirements

The role regularly involves sitting, standing, walking, bending, using hands, and operating a computer. It also requires close and distance vision and the ability to adjust focus when working with computers and business equipment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.

Work Conditions & Employment Requirements

Scientific Games operates in highly regulated gaming and lottery businesses. Depending on the role, employees may be required to obtain gaming or other licenses, complete background investigations or security checks, and meet applicable legal, regulatory, or contractual standards.

As a condition of employment, candidates may be asked to consent to a due diligence or background investigation, to the extent permitted by law. Employees may also be asked to perform other job-related duties beyond those specifically listed in this description.

Equal Employment Opportunity

Scientific Games, LLC and its affiliates are Equal Opportunity Employers. The company does not discriminate against applicants based on race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, disability, or any other status protected by federal, state, or local law.