Analytics Engineer

Mohegan Sun; Connecticut; Hybrid; USD 85,000 - 125,000; Full time

Job summary

Mohegan Sun is seeking an Analytics Engineer to build and maintain data models, metrics, and dashboards that power reporting and experimentation. You will develop trusted datasets and self-serve analytics under the Analytics Engineering Manager, growing into an independent contributor.

The role emphasizes SQL, dbt-style transformations, and data visualization depth. Ideal candidates have 1–3 years in analytics, experience with Snowflake and Tableau, and strong communication skills to translate

Qualifications

• Bachelor’s degree in a quantitative field or related area.
• 1–3 years in analytics, data, BI, or related role.
• Working proficiency in SQL; Snowflake experience a plus.
• Experience building data visualizations and dashboards (Tableau preferred; Power BI / Looker Studio acceptable).
• Familiarity with data modeling concepts and dbt-style transformations.
• Strong analytical and problem-solving skills with attention to detail.

Responsibilities

• Develop, test, and maintain data models and transformations (SQL, dbt-style) on the data warehouse under supervision.
• Implement and document metric definitions in the semantic layer; build well-organized datasets for self-service.
• Build and maintain dashboards and reports (Tableau and related tools) that translate data into clear answers for stakeholders.
• Own data quality for assigned domains; monitor pipelines and investigate discrepancies.
• Collaborate with business stakeholders and data teams to gather requirements and deliver data solutions.
• Support experimentation and analytics initiatives by developing datasets and metrics for decision-making.
• Create and maintain comprehensive documentation for data models, metrics, datasets, and analytics workflows.
• Identify opportunities to improve data architecture, reporting efficiency, and self-service analytics.

Skills

SQL

Data Visualization

Tableau

Power BI

Looker Studio

Data Modeling

Dimensional Modeling

Semantic Layer

dbt

Dashboarding

Communication

Office Suite

Education

Bachelor’s degree in quantitative field

Tools

Snowflake

Python

Tableau

Power BI

dbt

Job description

## Analytics EngineerApply: Uncasville, CT: Full time: Posted Today: R-13906**JOIN OUR TEAM AND EXPERIENCE ENDLESS CAREER POSSIBILITIES****IF YOU ARE AN EXISTING TEAM MEMBER,** **PLEASE CLICK THE FOLLOWING LINK TO BE TAKEN TO THE INTERNAL CAREER SITE: MOHEGAN INTERNAL CAREER SITE****Position Summary:**The Analytics Engineer builds and maintains the modeled data and metric definitions that power reporting, experimentation, and the future platform within Decision Intelligence. Working under the Analytics Engineering Manager, the incumbent develops trusted, well-documented datasets and dashboards, and grows into an increasingly independent contributor. The role is a strong fit for a capable problem solver who is early in their analytics-engineering career and eager to develop modeling, SQL, and data-visualization depth.**Primary Duties and Responsibilities** includes but not limited to:* Develop, test, and maintain data models and transformations (SQL, 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 that others can self-serve from.* Build and maintain dashboards and reports (Tableau and related tools) that translate data into clear, accurate answers for business and marketing stakeholders.* Own data quality for assigned domains — monitor pipelines, investigate discrepancies, and help ensure a single source of truth.* Collaborate with business stakeholders, analysts, and data teams to gather requirements and deliver effective data solutions that support 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.**Minimum Education and Qualifications:*** Bachelor’s degree in a quantitative, computer science, statistics, information systems, or related field required.* 1–3 years of experience in analytics, data, business intelligence, or a related role, including relevant internships or academic projects.* Working proficiency in SQL required; exposure to a modern data warehouse (e.g., Snowflake) and to Python for data work is a plus.* Experience building data visualizations and dashboards (Tableau preferred; Power BI / Looker Studio acceptable).* Familiarity with data modeling concepts and a willingness to develop analytics-engineering depth (dimensional modeling, semantic layers, dbt-style transformations).* Strong analytical and problem-solving skills, with attention to detail and a demonstrated ability to learn quickly and work through ambiguous problems.* Excellent communication skills with the ability to translate data into marketing recommendations* Intermediate knowledge of Microsoft Office Suite products and applications* Interest in the online gaming / iGaming industry; direct experience is a plus but not required.* Ability to manage multiple tasks, take direction, and collaborate within a team. **Competencies:** Incumbent will master the following competencies while in this position:* Data modeling and SQL development — building tested, documented, reusable datasets.* Dashboarding and visualization — translating data into clear, accurate reporting.* Analytical problem solving — investigating discrepancies and resolving them methodically.* Collaboration and growth — taking direction and developing analytics-engineering depth over time. **Training Requirements:*** Mohegan Corporate office and departmental policies and procedures* Appropriate regulations that pertain to Mohegan Information Systems **Physical Demands and Work Environment:*** Fast-paced office work environment* Must be able to sit in front of a computer screen for extended periods of time* Must be able to work various shifts and flexible hours with occasional travel requiredThis is not necessarily an exhaustive list of all responsibilities, requirements or working conditions associated with the job. Mohegan Digital reserves the right to make changes to the above job description whenever necessary.