Analytics Engineering Lead

About point.me

At point.me, we’re on a mission to increase the spending power for millions of people by turning loyalty points into wealth. We are committed to simplifying the loyalty points experience and increasing our customers' spending power by using our real-time search and booking engine, making it easy to book flights with points. 

Over the last two-plus decades, points and miles have evolved into a multi-billion-dollar industry. Exact numbers aren’t published, but it’s estimated that $300 billion in award points are issued every year. For context, that’s on par with the GDP of Greece!

Join us and be part of a fast-growing company where your work will make a real impact on the future of award booking. We offer competitive salaries, meaningful equity, comprehensive health coverage, and the opportunity to work fully remotely as part of a distributed team.

The Position

As our founding Analytics Engineering Lead, you’ll play a key role in unlocking the full potential of data from our data systems. You will be responsible for transforming raw data into reliable, consistent, business-ready datasets that drive informed decision-making across teams using modern tools and technology. 

What You'll Do

• Data Transformation & Modeling:
  • Own dbt modeling to transform raw data into business-ready datasets.
  • Design data models that align with how stakeholders think about the business.
  • Enable self-serve analytics through clean, intuitive data models.
  • Ensure clean, reliable data is readily available for teams to use it for critical decision-making and business insights.
  • Ensure data accuracy and consistency as systems evolve.
• Data Flow:
  • Own the flow of data through our modern data stack (Snowflake, dbt, Airbyte, Segment, Iterable).
  • Own analytics ingestion pipelines and data storage and data transformation.
  • Optimize data flow while keeping infrastructure costs low.
  • Implement foundational data observability and monitoring solutions to trace issues to the source.
• Strategic Direction:
  • Articulate and direct the path forward on analytics infrastructure for the company.
     

Who You Are

You’ve been the go-to analytics engineer at a start-up, know your way around a modern data stack (Snowflake, dbt, Segment, etc.), and enjoy making complex business logic actually make sense for the business.

• Data Modeling: You have deep experience designing and maintaining scalable, modular data models in dbt, with a strong understanding of how to create transformations that align with how the business thinks about our data.
• Architectural Strategy: You have a strong understanding of how to design and evolve our overall modern data stack architecture to achieve data analytics and activation goals. You are familiar with many tools in a modern tech stack (including Snowflake, dbt, Airbyte, Segment), understand key tradeoffs, and know when to build versus buy.
• Stakeholder Collaboration: You have the ability to work directly with non-technical stakeholders to understand their needs and how they think about our data in order to ensure that we are delivering capabilities that align with the business.
• Strategic Prioritization and Articulation: You are able to direct and guide the direction the company is taking on analytics infrastructure.

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or business intelligence roles, with a proven track record of delivering high-quality data models and reporting assets.
• Advanced proficiency with dbt and experience designing modular, well-documented transformation layers in a modern data stack.
• Strong SQL skills, with a deep understanding of data modeling best practices
• Experience working with cloud data warehouses, especially Snowflake, including performance tuning and query optimization.
• Hands-on experience with BI tools, preferably Looker, including explore and dashboard development and LookML configuration.
• Exposure to event-based data models (e.g., user interaction or engagement logs) and translating them into reporting-friendly structures.
• Comfort working in stakeholder-facing roles, helping non-technical teams frame data questions and self-serve from curated datasets.
• Experience contributing to data platform or data governance initiatives, such as metric standardization, data cataloging, or access management.
• Familiarity with CI/CD practices in analytics engineering, including dbt Cloud jobs, testing frameworks, and version control (e.g., Git).

What Success Looks Like

• Analytics can answer key business questions.
• Stakeholders can self-serve basic analytics questions.
• Key data is activated in Iterable.
• Visibility and forecasting capability for data pipeline and storage costs.

​Why You'll Like Working Here

Join our growing team! Here at point.me we believe in taking care of our team, so that our team can take care of our customers. All employees are offered the following:

• Competitive salaries
• Ownership with meaningful equity
• Fully-paid Medical, Dental, Vision, HRA for US employees
• 100% distributed workforce, so you can contribute from anywhere
• Open vacation policy, with a minimum of 15 days off each year
• Paid family leave for all parents

The anticipated salary range for this role's listed level is $150,000-$220,000.  Level and salary ranges are determined through interviews and a review of experience, knowledge, skills, abilities of the applicant, in alignment with market data.

While our team members can join us from anywhere, all applicants must be eligible to work in the United States.

Given the nature of our business, we anticipate that all team members will be traveling from time to time, including company trips and off-sites, or meeting with strategic partners. As such, being fully vaccinated against COVID-19 is a condition of employment at point.me. 

​Equal Opportunity Employer

At point.me, we value a diverse team. That's why we are committed to providing equal opportunity employment regardless of race, national or ethnic origin, color, religion, age, sex, sexual orientation, gender identity or expression, marital status, veteran status, disability, or any other protected class. We encourage you to apply and to let us know if you require accommodation during the recruitment process.