Data Analyst

Scientific Games, LLC is hiring a Data Analyst to turn data into reliable, reusable analysis that helps internal teams and lottery customers understand performance and make operating decisions. The role supports reporting, dashboards, exploratory analysis, and recurring analytical workflows, while partnering with business, technical, and customer stakeholders to validate data and communicate findings.

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

Help 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 the right visualization tool for the need. Tableau experience is helpful, but the role is tool agnostic and values strong visualization judgment over a specific platform version

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 where practical so the team can deliver more value without adding proportional manual effort

Partner with data engineering and business teams to improve data collection, transformation logic, metric definitions, and the usability of shared datasets

Review data quality, reconcile source differences, document assumptions, and clearly communicate limitations, confidence levels, and recommended next steps

Create and maintain studies, research reports, executive dashboards, sales enablement tools, and exploratory visualizations that surface useful insights and practical growth opportunities

Identify process improvement opportunities and contribute to durable solutions that reduce rework, improve trust in the data, and make future analysis easier to repeat

Manage multiple analytics tasks and projects, balancing stakeholder requests with clear documentation and reliable analytical practices

Work effectively in a remote environment, using collaboration tools, written updates, and shared documentation to keep stakeholders aligned

Travel to lottery and corporate locations on an occasional as needed basis

Preferred

Experience contributing to reusable data models, metric layers, feature datasets, or certified analytical tables that support multiple downstream use cases

Experience automating recurring reporting or analytics workflows with scheduled jobs, orchestration tools, notebooks, scripts, or CI style validation

Working knowledge of data quality practices, testing approaches, lineage, documentation, and governance in modern analytics environments

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 practical business analysis

Experience supporting sales, operations, gaming, lottery, retail, or other transaction rich business domains

Reusable Data Modeling

Metric Layer Development

Feature Dataset Development

Certified Analytical Tables

Reporting Workflow Automation

Analytics Workflow Automation

Scheduled Jobs

Workflow Orchestration

Notebook Development

Scripting

CI-Style Validation

Data Quality Practices

Data Testing

Data Lineage

Data Documentation

Data Governance

Alteryx

dbt

Airflow

Azure Data Factory

Forecasting

Segmentation

Regression

Classification

Statistical Business Analysis

Sales Domain Experience

Operations Domain Experience

Gaming Domain Experience

Lottery Domain Experience

Retail Domain Experience

Transaction-Rich Domains

Benefits

Remote work arrangement

Company

Lottery and sports betting games, technology, analytics, and services

Alpharetta, Georgia, USA

https://www.scientificgames.com/

Founded in 1973

1001-5000 employees

Qualifications

Bachelor's degree in mathematics, economics, statistics, applied 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, coursework, certification, or practical exposure 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 or similar language 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

Strong attention to detail and ability to collect, organize, analyze, interpret, and communicate significant amounts of information accurately

Ability to explain analytical findings, tradeoffs, and recommendations in plain language for business, executive, and customer audiences

Thinks beyond one time deliverables and looks for ways to make each analysis easier to reuse, maintain, audit, and scale

Balances speed with reliability by documenting assumptions, validating outputs, and building repeatable workflows

Communicates clearly in writing and conversation with technical teams, business partners, executives, and customer stakeholders

Works effectively in a team environment, seeks feedback, and contributes to shared analytical standards

Prioritizes effectively, manages multiple deadlines, and adapts as business needs or data realities change

Learns new tools, languages, platforms, and analytical methods as needed

Experience contributing to reusable data models, metric layers, feature datasets, or certified analytical tables that support multiple downstream use cases

Experience automating recurring reporting or analytics workflows with scheduled jobs, orchestration tools, notebooks, scripts, or CI style validation

Working knowledge of data quality practices, testing approaches, lineage, documentation, and governance in modern analytics environments

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 practical business analysis

Experience supporting sales, operations, gaming, lottery, retail, or other transaction rich business domains

At least three years of experience in business intelligence, data analysis, reporting, analytics engineering, data science, or a closely related role.

Required skills

SQL, Databricks, Python, Azure, AWS, Google Cloud, GitHub, Tableau, Power BI, Looker, Sigma, Statistical Methods

Experience

3+ years