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 and evolve our dbt implementation and data modelling to transform raw data into clean, business-ready datasets. Build out efficient, scalable and intuitive data models to analyze business and platform performance across the company.

Data Flow & Infrastructure: Own the flow of data through our modern data stack (Snowflake, dbt, Airbyte, Segment, Iterable), from analytics ingestion pipelines, to data transformation (ETL), all the way through semantic models for reporting. Optimize data flow performance while balancing infrastructure costs.

Enablement & Collaboration: Collaborate with technical and non-technical partners to translate business problems into technical solutions. Support teams as they frame data questions and self-serve using analytical tooling and foundational datasets you own.

Data Quality & Governance: Ensure clean, reliable data as a champion of data quality — identifying root causes of data problems and implementing solutions to prevent future occurrences.

Strategic Direction: Articulate and direct the path forward on analytics tooling choices for the company. Make thoughtful, forward-looking decisions about our data architecture and tooling choices.

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. 

• 3+ years of experience in analytics engineering.
• 5+ years of experience in the data field, such as data engineering, or business intelligence roles.
• 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.
• Advanced proficiency in dbt, with exposure to translating event-based data (e.g. user interaction logs) into reporting-friendly structures.
• Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
• Experience working with enterprise BI tooling (Looker, Tableau, or similar).
• 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. 
• Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.

​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.