Analytics Engineer

MS Digital Entertainment Holdings, LLC; Mohegan (CT); On-site; USD 75,000 - 110,000; Full time

Job summary

Mohegan Digital is seeking an Analytics Engineer to design and maintain data models, metric definitions, and reproducible datasets powering reporting and experimentation. You will build dashboards in Tableau and related tools, ensuring data quality and a single source of truth.

Collaborating with business stakeholders and other data teams, you will translate requirements into robust analytics solutions and document data models and workflows for scalability.

Qualifications

• Bachelor’s degree in a quantitative field or related.
• 1–3 years of analytics or BI experience.
• Proficient in SQL; exposure to a modern data warehouse (e.g., Snowflake).
• Experience building data visualizations with Tableau or BI tools.
• Strong analytical and problem-solving skills with attention to detail.

Responsibilities

• Develop, test, and maintain data models and transformations (SQL, dbt-style workflows).
• Implement metric definitions in semantic layer and build self-serve datasets.
• Build dashboards and reports (Tableau and related tools) for stakeholders.
• Own data quality and monitor pipelines for a single source of truth.
• Collaborate with stakeholders to gather requirements and deliver data solutions.

Skills

SQL

Data modeling

Tableau

Communication

Problem solving

Education

Bachelor's degree in quantitative field

Tools

Snowflake

Python

Tableau

Power BI

Looker Studio

Job description

JOIN OUR TEAM AND EXPERIENCE ENDLESS CAREER POSSIBILITIESIF YOU ARE AN EXISTING TEAM MEMBER, PLEASE CLICK THE FOLLOWING LINK TO BE TAKEN TO THE INTERNAL CAREER SITE: MOHEGAN INTERNAL CAREER SITEPosition 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 recommendationsIntermediate knowledge of Microsoft Office Suite products and applicationsInterest 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 proceduresAppropriate regulations that pertain to Mohegan Information SystemsPhysical Demands and Work Environment:Fast-paced office work environmentMust be able to sit in front of a computer screen for extended periods of timeMust 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.Work Shift:RegularKnock, knock. Hear that sound? That's opportunity!.Mohegan Sun practices Native American Preference in hiring. \"Native American\" means an individual who is a duly enrolled member of the Mohegan Tribe or any group of Native Americans recognized by the Mohegan Tribe, The United States of America, or the State of Connecticut.