Data Analyst/Engineer
About The Position
We are seeking a motivated and technically strong Data Analyst / Engineer to join our growing Data Products & Platforms team. This role sits at the intersection of analytics and data engineering and is ideal for someone who enjoys transforming raw data into trusted, analytics-ready datasets that drive business decisions. In this role, you will partner closely with business stakeholders, analytics teams, and data platform partners to design, build, and maintain reusable datasets in Snowflake. You’ll leverage modern ELT tools and semantic layers to support reporting and self-service analytics across the organization while helping ensure our data is reliable, well-documented, and ready for advanced analytics and AI use cases.
Requirements
- 3–5 years of experience in data analytics, analytics engineering, or data engineering roles
- Strong proficiency in SQL and experience working with Snowflake or similar cloud data warehouses
- Experience building ELT pipelines using tools such as Coalesce.io, dbt, or similar frameworks
- Experience supporting BI and analytics tools (e.g., Sigma, Power BI, Tableau, Looker)
- Solid understanding of data modeling concepts, including fact and dimension tables and star schemas
- Ability to work directly with business users and translate requirements into effective data solutions
- Strong analytical thinking, attention to detail, and problem-solving skills
Nice To Haves
- Experience working with semantic or metrics layers
- Familiarity with modern data stack best practices and analytics engineering principles
- Experience with data documentation, data quality checks, or data observability tools
- Exposure to AI, machine learning, or advanced analytics workflows
- Strong communication skills and a collaborative, team-oriented mindset
Responsibilities
- Design, build, and maintain analytics-ready datasets in Snowflake using curated data from ELT pipelines
- Develop and support semantic views to standardize business logic, definitions, and metrics
- Partner with business stakeholders to understand reporting and analytical needs and translate them into scalable data solutions
- Enable and support self-service analytics across BI tools such as Sigma and Power BI
- Define, document, and maintain clear metric definitions and dataset documentation
- Monitor, validate, and improve data quality, reliability, and performance
- Collaborate with data engineering and platform teams to continuously improve the analytics data layer
- Support AI and advanced analytics use cases by delivering high-quality, well-structured datasets suitable for forecasting, machine learning, and generative AI
- Ensure data is AI-ready by maintaining consistent feature definitions, freshness standards, and documentation
Benefits
- Medical, dental, vision, life and disability insurance for the associate and family (if applicable)
- Flexible Spending Account
- Health Savings Account
- 401k retirement program
- Mental health resources/ Employee Assistance Program
- 80 hours of paid vacation time (accrued on an hourly basis)
- 9 paid holidays
- 30% employee discount across our family of brands
- Potential eligibility for annual merit-based wage increase, if applicable
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
