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About the Role
This role is designed for an experienced analytics professional who operates comfortably across analytics and data engineering, serves as a thought partner to the business, and takes ownership of delivering trusted, scalable, analytics-ready data products. As a senior member of the team, you will play a key role in shaping the analytics data layer, defining standardized metrics and datasets, and enabling high-quality reporting and self-service analytics across the organization.
Responsibilities
- Design, build, and own analytics-ready datasets in Snowflake using curated ELT pipelines
- Develop and maintain Snowflake semantic views to standardize business logic, KPIs, and metric definitions
- Act as a trusted partner to business stakeholders by translating analytical needs into scalable, reusable data solutions
- Enable and support self-service analytics across BI tools such as Sigma and Power BI
- Establish and maintain clear documentation for datasets, metrics, and analytical models
- Proactively monitor, validate, and improve data quality, performance, and reliability
- Collaborate closely with data engineering and platform teams to evolve and optimize the analytics data layer
- Support AI and advanced analytics initiatives by delivering well-structured, high-quality datasets suitable for forecasting, machine learning, and generative AI
- Contribute senior-level guidance on analytics engineering best practices, data modeling standards, and dataset design
Requirements
- 5+ years of experience in data analytics, analytics engineering, or data engineering roles
- Advanced SQL skills and hands-on experience working with Snowflake or similar cloud data warehouses
- Experience building and maintaining ELT pipelines using tools such as Coalesce.io, dbt, or comparable frameworks
- Strong experience supporting BI and analytics tools (e.g., Sigma, Power BI, Tableau, Looker)
- Deep understanding of data modeling concepts, including fact and dimension tables and star schemas
- Proven ability to work directly with business users and translate complex requirements into effective data solutions
- Strong analytical thinking, attention to detail, and problem-solving skills
- Experience designing or managing semantic layers or metrics layers
- Familiarity with modern data stack best practices and analytics engineering principles
- Experience with data documentation standards, data quality validation, or observability tools
- Exposure to AI, machine learning, or advanced analytics workflows
- Strong communication skills with the ability to influence and collaborate across teams
Skills
- Snowflake
- ELT pipelines
- Coalesce.io
- dbt
- Sigma
- Power BI
- Tableau
- Looker
- Data modeling
- SQL
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
- 5+ years
Salary/Compensations
- $95,000 to $105,000 annually
Benefits
- Medical, dental, vision, life, and disability insurance
- Flexible Spending Account (FSA)
- Health Savings Account (HSA)
- 401(k) retirement savings program
- Mental health resources and Employee Assistance Program (EAP)
- Paid vacation time
- Paid company holidays
- Employee discount across our family of brands
- Potential eligibility for annual merit-based compensation increases
About the Company
- Be part of a modern data organization focused on data as a product
- Work with a contemporary analytics stack including Snowflake, Coalesce.io, Sigma, and Power BI
- Opportunity to operate at a senior level with real ownership and influence
- High-visibility role with meaningful impact on how the business uses, trusts, and scales data