Senior Analytics Engineer

Summary

Join TheyDo, a fully remote B2B SaaS company, as their next Senior Analytics Engineer. As one of three core members of the data team, you will play a pivotal role in shaping their data culture and strategy, transforming raw data into actionable insights. You will be a key partner in translating business needs into robust data solutions, taking full ownership of the analytics lifecycle. Your work will empower teams to make better decisions. TheyDo offers competitive compensation, pre-IPO equity, fully remote work with flexible hours, health insurance, flexible holiday days, a learning and development budget, a wellbeing budget, paid parental leave, home office or co-working support, company events, and the latest tech and tools. This is a chance to build a world-class analytics function from the ground up in a fast-paced startup environment.

Requirements

• Strong proficiency in SQL and building production-grade data models
• Hands-on experience with modern data transformation tools (like dbt ) and cloud data warehouses (like Google BigQuery , Snowflake, or Redshift) is essential
• Familiarity with modern BI tools (like Omni , Looker, ThoughtSpot, etc.) and an understanding of how to build an effective semantic layer for business users
• A minimum of 4 years of experience in an analytics engineering, data engineering, or a similar role
• A product-minded and proactive problem-solver . You are comfortable with ambiguity and skilled at translating vague business questions into technical requirements and concrete data models
• An innovator who actively embraces AI and seeks out opportunities to leverage it in daily work to improve efficiency and unlock new insights
• Excellent communication skills and the ability to work effectively with non-technical stakeholders
• A strong sense of ownership and the ability to work autonomously in a small team environment. You document your work and think about long-term maintainability
• An enthusiasm for building things from the ground up and making a significant impact in a growing startup

Responsibilities

• Design, build, and maintain scalable and efficient data models in our Google BigQuery data warehouse using dbt , ensuring data is accurate, well-documented, and easy to understand
• Own the semantic layer of our analytics platform, exposing curated data models as intuitive Topics in Omni Analytics for self-service use by business stakeholders
• Collaborate directly with internal teams (Product, Marketing, and Sales) to understand their challenges, gather requirements, and deliver data solutions that drive business outcomes
• Take ownership of the end-to-end analytics engineering workflow, from requirement gathering and data modeling to validation and final delivery in our BI tool
• Contribute to our team's best practices in data modeling, testing, and documentation, helping to build a world-class analytics function from the ground up

Benefits

• Competitive compensation and pre-IPO equity
• Fully remote working with flexible hours
• Health Insurance benefit
• Flexible holiday days
• Learning and Development budget
• Wellbeing budget
• Paid parental leave
• Home office or co-working support
• Company events
• Latest tech & tools