Analytics Engineer: Data Modeling & Dashboards

MS Digital Entertainment Holdings, LLC

Mohegan (CT)

On-site

USD 75,000 - 110,000

Full time

6 days ago
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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

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.

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