Data Analyst/Engineer

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.

• 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

• Be part of a modern data organization that treats data as a product

• Work with a contemporary analytics stack including Snowflake, , Sigma, and Power BI

• Opportunity to grow your skills across both analytics and data engineering

• High-impact, highly visible role influencing how the business uses and trusts data

• 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 , 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

• 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

The expected salary range for this position is $90,000 to $110,000 yearly. The actual compensation will be determined by experience and other factors permitted by the law.

To ensure that we remain an employer of choice, we offer comprehensive and competitive health, wellness, and other benefits to regular and full-time team members. Benefits vary by location, average hours, and time with the company.

Benefits for this location include*:

• Medical, dental, vision, life and disability insurance for the associate and family (if applicable)
• Flexible Spending