Analytics Engineer

MS Digital Entertainment Holdings, LLC; Montville (CT); On-site; USD 85,000 - 120,000; Full time

Job summary

MS Digital Entertainment Holdings, LLC in Uncasville, CT is seeking an Analytics Engineer to build modeled data and metrics for reporting, experimentation, and the broader platform. You will develop data models and semantic layers, ensure trusted datasets, and enable self-serve analytics with a single source of truth.

The role requires SQL proficiency, experience with dashboards in Tableau, and collaboration with stakeholders to deliver data solutions that drive marketing and business decisions.

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 internships or academic projects.
• Working proficiency in SQL (required); exposure to a modern data warehouse such as Snowflake and Python is a plus.
• Experience building data visualizations and dashboards, with Tableau preferred (Power BI or Looker Studio acceptable).
• Familiarity with data modeling concepts and willingness to deepen analytics-engineering skills, 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 in ambiguous situations.
• Excellent communication skills, including the ability to translate data into marketing recommendations.
• Intermediate knowledge of Microsoft Office Suite.
• Interest in the online gaming / iGaming industry; direct experience is a plus but not required.

Responsibilities

• Develop, test, and maintain data models and transformations in the data warehouse using SQL and dbt-style workflows, under direction from the Analytics Engineering Manager.
• Implement and document metric definitions in the semantic layer, creating reliable datasets that others can self-serve from.
• Build and maintain dashboards and reports using Tableau (and related tools) to present accurate answers for business and marketing stakeholders.
• Own data quality for assigned domains by monitoring pipelines, investigating discrepancies, and helping ensure a consistent single source of truth.
• Partner with business stakeholders, analysts, and data teams to gather requirements and deliver data solutions aligned with organizational objectives.
• Support experimentation and performance measurement 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.
• Help identify opportunities to improve data architecture, reporting efficiency, self-service analytics, and data accessibility.

Skills

SQL

dbt-style workflows

Tableau

Power BI

Looker Studio

Python

Snowflake

Dimensional modeling

Semantic layers

Microsoft Office Suite

Education

Bachelor’s degree in a quantitative field

Tools

Tableau

Power BI

Looker Studio

Python

Snowflake

dbt-style transformations

Excel

Job description

MS Digital Entertainment Holdings, LLC is hiring an Analytics Engineer for an onsite role in Uncasville, CT. In this position, you will build modeled data and metric definitions that support reporting, experimentation, and the broader platform within Decision Intelligence. The work emphasizes trusted datasets, clear dashboards, and documentation so teams can move faster with self-serve analytics and a single source of truth.

What you’ll do

• Develop, test, and maintain data models and transformations in the data warehouse using SQL and dbt-style workflows, under direction from the Analytics Engineering Manager.
• Implement and document metric definitions in the semantic layer, creating reliable datasets that others can self-serve from.
• Build and maintain dashboards and reports using Tableau (and related tools) to present accurate answers for business and marketing stakeholders.
• Own data quality for assigned domains by monitoring pipelines, investigating discrepancies, and helping ensure a consistent single source of truth.
• Partner with business stakeholders, analysts, and data teams to gather requirements and deliver data solutions aligned with organizational objectives.
• Support experimentation and performance measurement 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.
• Help identify opportunities to improve data architecture, reporting efficiency, self-service analytics, and data accessibility.

What you bring

• 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 such as Snowflake and Python is a plus.
• Experience building data visualizations and dashboards, with Tableau preferred (Power BI or Looker Studio acceptable).
• Familiarity with data modeling concepts and willingness to deepen analytics-engineering skills, 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 in ambiguous situations.
• Excellent communication skills, including the ability to translate data into marketing recommendations.
• Intermediate knowledge of Microsoft Office Suite.
• 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.

Tools you’ll use

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

Work environment

• Fast-paced office work environment.
• Must be able to sit in front of a computer screen for extended periods.
• Must be able to work various shifts and flexible hours with occasional travel required.
• Regular work shift.