Sr. Analytics Engineer

Total Wine & MoreSSC - MD, MD
$122,200 - $165,000Onsite

About The Position

Total Wine & More is seeking a Senior Analytics Engineer to join our growing Data Services team. This role will play a pivotal role in transforming raw data into trusted, actionable insights. In this role, you will bridge the gap between data engineering and data analysis, building scalable, well-documented, and tested data models that empower business users across merchandising, supply chain, marketing, and e-commerce. This role reports to the Senior Director, BI & Data Platform.

Requirements

  • Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Economics or related fields required or equivalent years of experience.
  • 3-6 years 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 (e.g., Git), CI/CD pipelines, and data testing frameworks (e.g., dbt tests, 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 (e.g., Computer Science, Statistics, Engineering). preferred or equivalent years of experience.
  • Exposure to data visualization tools (e.g., Looker, Tableau, Power BI).

Responsibilities

  • Design, build, and maintain robust, modular, and scalable data models using tools like 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 (e.g., sales, inventory, customer loyalty).
  • Collaborate with data platform teams to improve data tooling, observability, and performance.
  • Contribute to the documentation and data literacy efforts across the organization.

Benefits

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