Analytics Engineer

166_MS_Digital_Entertainment_Holdings_LLC MS Digital Entertainment Holdings, LLC

United States

Vor Ort

USD 85.000 - 110.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Mohegan Digital is seeking an Analytics Engineer to build and maintain modeled data, metric definitions, and dashboards for reporting and experimentation. Under the Analytics Engineering Manager, you’ll develop trusted datasets, document them, and grow into a more independent contributor with strong SQL and data-visualization skills.

The role emphasizes collaboration with business stakeholders, data teams, and analysts to deliver data solutions that drive organizational objectives and

Qualifikationen

  • Bachelor's degree in a quantitative field or related area is required.
  • 1–3 years of analytics, data, BI, or related experience, including internships or projects.
  • Strong SQL skills and experience with modern data warehouses (e.g., Snowflake) are expected.
  • Experience building visualizations with Tableau or Power BI; Looker Studio is a plus.
  • Familiarity with data modeling concepts and dbt-style transformations.
  • Excellent communication and ability to translate data into business insights.

Aufgaben

  • Develop, test, and maintain data models and transformations (SQL, dbt-style) on a data warehouse.
  • Document metric definitions in the semantic layer and build reliable datasets for self-service.
  • Create dashboards/reports (Tableau and related tools) to answer business questions for stakeholders.
  • Own data quality and monitor pipelines to ensure a single source of truth.
  • Collaborate with stakeholders, analysts, and data teams to gather requirements.
  • Support experimentation and analytics initiatives by developing datasets and metrics.
  • Create and maintain documentation for models, datasets, and analytics workflows.
  • Identify opportunities to improve data architecture and self-service analytics.

Kenntnisse

SQL development
Data modeling
Dashboarding
Analytical thinking
Communication skills
Team collaboration

Ausbildung

Bachelor's degree in a quantitative field

Tools

Snowflake
Python
Tableau
Power BI
Looker Studio
dbt

Jobbeschreibung

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
  • 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
  • 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 required

This 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

Regular Knock, knock. Hear that sound? That's opportunity! . Mohegan Sun practices Native American Preference in hiring.

What began in 1996 as a gaming destination in southeastern Connecticut with a handful of Team Members has expanded into a premier entertainment enterprise with over 10,000 team members across the globe. What drives our success is the centuries-old philosophy of the Mohegan Tribe “The Spirit of Aquai”. Its principles of welcoming, mutual respect, cooperation and building relationships have shaped our culture, and serve as the foundation that we live by with every guest and team member interaction today, and for generations to come.

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