Analytics Engineer

The Analytics Engineer will build and maintain modeled data and metric definitions that support reporting, experimentation, and the evolution of the Decision Intelligence platform. This onsite role in Uncasville, CT focuses on trusted datasets, clear dashboards, and improving how stakeholders access and use analytics.

Responsibilities

• Develop, test, and maintain data models and transformations using SQL and dbt-style workflows on the data warehouse under the direction of the Analytics Engineering Manager.
• Implement and document metric definitions in the semantic layer, and build reliable, well-organized datasets for self-serve use.
• Build and maintain dashboards and reports using Tableau and related tools to provide clear, accurate insights for business and marketing stakeholders.
• Own data quality for assigned domains by monitoring pipelines, investigating discrepancies, and helping maintain a single source of truth.
• Collaborate with business stakeholders, analysts, and data teams to gather requirements and deliver data solutions aligned to organizational objectives.
• Support experimentation, performance measurement, and analytical initiatives by developing datasets and metrics that enable informed decision-making.
• Create and maintain comprehensive documentation for data models, metric definitions, datasets, reporting processes, and analytics workflows.
• Assist in identifying opportunities to improve data architecture, reporting efficiency, self-service analytics capabilities, and overall data accessibility.

Required Qualifications

• Bachelor’s degree in a quantitative, computer science, statistics, information systems, or related field.
• 1 to 3 years of experience in analytics, data, business intelligence, or a related role, including relevant internships or academic projects.
• Working proficiency in SQL.
• Experience building data visualizations and dashboards, with Tableau preferred (Power BI or Looker Studio acceptable).
• Familiarity with data modeling concepts and a willingness to develop analytics-engineering depth, including dimensional modeling, semantic layers, and dbt-style transformations.
• Strong analytical and problem-solving skills, with attention to detail and the ability to learn quickly while navigating ambiguous problems.
• Excellent communication skills, including the ability to translate data into marketing recommendations.
• Intermediate knowledge of Microsoft Office Suite products and applications.
• Interest in the online gaming or iGaming industry (direct experience is a plus but not required).
• Ability to manage multiple tasks, take direction, and collaborate within a team.

Preferred Skills and Tools

• Exposure to a modern data warehouse (for example, Snowflake).
• Exposure to Python for data work.

Technologies

• SQL
• dbt-style workflows
• Tableau
• Power BI
• Looker Studio
• Python
• Snowflake
• Microsoft Office Suite
• Dimensional modeling
• Semantic layers

Competencies

• Data modeling and SQL development focused on building tested, documented, reusable datasets.
• Dashboarding and visualization to translate data into clear, accurate reporting.
• Analytical problem solving to investigate discrepancies and resolve them methodically.
• Collaboration and growth including taking direction and building analytics-engineering depth over time.

Training and Compliance

• Mohegan Corporate office and departmental policies and procedures.
• Appropriate regulations that pertain to Mohegan Information Systems.

Work Environment and Physical Demands

• Fast-paced office work environment.
• Ability to sit in front of a computer screen for extended periods of time.
• Ability to work various shifts and flexible hours, with occasional travel required.

Work Location and Schedule

Location: Uncasville, CT (onsite).
Work Shift: Regular.