Senior Data and Analytics Engineer

Join Float - The World’s Leading Remote Team Planning Software

At Float, we empower teams globally to plan their time efficiently with our leading software. Established in 2012, we have steadily grown and remain proudly independent and self-funded. As a certified B Corporation, we are committed to positive contributions to our team, customers, environment, and the remote work community. Our team of 50 members works 100% remotely across Australia, Mexico, Italy, Nigeria, Canada, and the USA.

Why We’re Hiring

Our commitment to data-driven decision-making is paramount for our growth. We are seeking a Data and Analytics Engineer to enhance our data infrastructure. With over 4,500 top teams and a growing user base of over 100,000, strong data foundations are crucial to achieving our goals.

Role Responsibilities

As a Data and Analytics Engineer at Float, you’ll:

• Lead data infrastructure: Manage and optimize our data platform for smooth operations.
• Shape our data strategy: Work with our Growth Partner, Andrew, on product analytics and revenue attribution.
• Improve data quality: Implement robust data governance practices.
• Enhance conversion tracking: Redefine our attribution modeling strategy.

In Your First Month

You will:

• Understand our data & analytics platform and collaborate with Andrew and Roberto.
• Take ownership of the data platform as the Subject Matter Expert (SME).
• Ship your first data stack improvement.

In Your First 3 Months

You will:

• Define and manage a product analytics tracking plan with our Director of Product, Michael.
• Design, build, and maintain data pipelines and ETL processes.
• Ensure data integrity through robust governance practices.
• Set up advanced trial to customer conversion attribution with Andrew.

Post Onboarding

You will:

• Establish an Account-Based Revenue attribution model.
• Lead documentation practices and data governance protocols.
• Support new growth tools integration like Clay and automation services.

Requirements for Success

To excel in this role, you’ll need:

• 5+ years of data & analytics engineering experience, preferably in B2B SaaS.
• Proficiency in SQL and at least one mainstream programming language.
• Experience with data integration, ETL processes, and large-scale data systems.
• Strong problem-solving and communication skills in a fast-paced, remote environment.
• Knowledge of data governance and documentation practices.
• Familiarity with analytics tools like Posthog, Metabase, Segment, and Amplitude.
• Previous remote work experience and proficiency in tools like Slack, Loom, and Linear.

Why Join Float

As a valued Data & Analytics Engineer, you’ll:

• Lead critical projects and influence our data strategy.
• Collaborate with cross-functional global teams.
• Directly impact product analytics and revenue attribution.

The pay for this role is US $155,800 (Level 3). Learn more about our salary determination on our blog.

Our Hiring Process

Our process ensures you understand us and we understand you:

• Initial Meet (15 min): Discuss your interest with Talent team members, Linda or Julia.
• Manager Interview (45 min): Meet with Andrew, our Growth Partner.
• Co-Worker Interview (30 min): Engage with Jasmin and Roberto on technical skills.
• Take Home Task: Complete a technical evaluation.
• Founder Interview (30 min): Meet our CEO, Glenn.

Note: Even if you don't check all the boxes but feel you have what