Analytics Engineer Jobs

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Sr. Analytics Engineer

Total Wine & More•SSC - MD, MD
•$122,200 - $165,000•Onsite

About The Position

Total Wine & More is seeking a Senior Analytics Engineer to join its Data Services team in the Bethesda, Maryland office. The role transforms raw data into trusted, actionable insights by bridging data engineering and data analysis. The Analytics Engineer builds scalable, well-documented, and tested data models that support business users across merchandising, supply chain, marketing, and e-commerce. This position reports to the Senior Director, BI & Data Platform. The position partners with data engineers, analysts, and business stakeholders to translate business logic into reusable data transformations, maintain semantic layers and data marts, and promote data quality, governance, documentation, and data literacy across the organization.

Requirements

  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related field, or equivalent years of experience.
  • 3–6 years of experience in analytics engineering, data modeling, or BI development.
  • Expert-level SQL skills and strong experience with dbt, Snowflake, BigQuery, or similar modern data stack tools.
  • Familiarity with version control such as Git, CI/CD pipelines, and data testing frameworks such as dbt tests or Great Expectations.
  • Strong understanding of dimensional modeling, data warehousing, and ETL/ELT best practices.
  • Excellent communication skills and ability to work cross-functionally in a large, matrixed organization.

Nice To Haves

  • Master's degree in a quantitative field such as Computer Science, Statistics, or Engineering, or equivalent years of experience.
  • Exposure to data visualization tools such as Looker, Tableau, or Power BI.

Responsibilities

  • Design, build, and maintain robust, modular, and scalable data models using tools such as dbt to support self-service analytics and reporting.
  • Partner with data engineers, analysts, and business stakeholders to translate business logic into clean, reusable data transformations.
  • Own and optimize semantic layers and data marts that power dashboards, KPIs, and advanced analytics.
  • Ensure data quality, consistency, and governance across multiple domains, including sales, inventory, and customer loyalty.
  • Collaborate with data platform teams to improve data tooling, observability, and performance.
  • Contribute to documentation and data literacy efforts across the organization.

Benefits

  • Paid time off (PTO)
  • Generous store discounts
  • Health care plans, including medical, prescription, dental, and vision
  • 401(k)
  • Health savings account (HSA)
  • Flexible spending account (FSA)
  • Pre-tax commuter benefits
  • Disability and life insurance coverage
  • Paid parental leave
  • Pet insurance
  • Critical illness and accident insurance
  • Discounted home and auto insurance
  • College tuition assistance
  • Career development and product training
  • Consumer classes

Career Resources

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