Senior Data Analytics Engineer - Data Insights

Accountabilities

• Design and develop the company’s analytics foundation.
• Build scalable data models, establish trusted metrics, and enable teams across the organization to make informed decisions through accessible and reliable data.
• Partner with Analytics Engineers, Data Engineers, Data Analysts, and business stakeholders to understand decision-making needs and translate them into scalable data solutions.
• Architect, build, test, and maintain reliable data models and pipelines using modern analytics engineering practices.
• Develop and optimize data transformations within Snowflake and dbt environments to create trusted analytical datasets.
• Design and implement metrics layers, dimensions, and KPI frameworks that support self-service analytics and consistent business reporting.
• Establish best practices for data modeling, metric definitions, documentation, and analytics workflows.
• Transform raw warehouse data into meaningful data assets that support dashboards, reporting, experimentation, and strategic analysis.
• Improve data quality, reliability, and accessibility across the organization by developing scalable solutions.
• Collaborate with technical and non-technical teams to ensure data products align with business priorities.
• Manage complex analytics projects from concept through implementation while maintaining strong stakeholder communication.
• Leverage AI tools and techniques to enhance development workflows, documentation quality, and analytics engineering efficiency.
• Stay current with emerging technologies and industry trends to continuously improve data capabilities.

Requirements

• 5+ years of relevant industry experience in analytics engineering, data engineering, business intelligence, or related fields.
• Expert-level SQL skills, including experience with advanced data modeling, query optimization, and analytical transformations.
• Strong experience with data warehousing concepts, architecture, and best practices.
• 3+ years of experience working with Python and dbt for data transformation and analytics development.
• Hands-on experience building semantic layers, metrics layers, and self-service analytics solutions.
• Proven ability to design and deliver scalable data solutions that support business growth.
• Experience managing complex data projects independently from planning through delivery.
• Strong analytical, problem-solving, and troubleshooting abilities.
• Excellent communication skills, with the ability to explain technical concepts clearly to non-technical stakeholders.
• Experience working effectively in remote, collaborative environments.
• Familiarity with source code management tools such as Git or Bitbucket.
• Experience working with cloud platforms such as AWS, GCP, or Azure.
• Experience handling semi-structured data formats such as JSON.
• Experience with business intelligence tools and analytics solutions.
• Knowledge of machine learning analytics engineering or marketing analytics is a plus.

Benefits

• Opportunity to work in a remote-first SaaS environment focused on building scalable solutions for enterprise customers.
• Meaningful, high-impact work influencing product strategy, customer success, and company-wide decision-making.
• Company equity participation, providing employees with ownership in long-term growth.
• 25 days of paid time off annually, increasing to 30 days after five years of employment.
• Comprehensive medical, dental, and vision insurance coverage.
• Additional protection through life insurance, critical illness coverage, accidental death and dismemberment insurance, and long-term disability coverage.
• Annual wellness allowance to support fitness, sports, and outdoor activities.
• Paid volunteering days to support community initiatives.
• Opportunities for continuous learning, professional development, and career growth.
• A flexible remote work environment designed to support collaboration and autonomy.