Remote Senior Data and Analytics Engineer

Description:

• Float, a leading software for team time planning, is seeking a Senior Data and Analytics Engineer to enhance their data infrastructure and support growth.
• The role involves partnering with the global team, shaping data strategy, improving product analytics, enhancing revenue attribution, and supporting experimentation efforts.
• Responsibilities include leading data infrastructure and operations, defining product analytics tracking plans, managing technical implementations, designing data pipelines, ensuring data quality, and setting up advanced conversion attribution.
• The position offers the opportunity to lead critical projects, innovate with cutting-edge tools, collaborate with cross-functional teams, and directly contribute to enhancing product analytics and revenue attribution.

Requirements:

• 5+ years of experience in data & analytics engineering, preferably in a B2B SaaS environment.
• Proficiency in SQL and at least one mainstream programming language.
• Experience in defining architecture, data modeling, tooling, and strategy for large-scale data processing systems.
• Strong problem-solving, analytical, and communication skills.
• Ability to work collaboratively in a fast-paced, remote environment.
• Background in marketing analytics or product analytics.
• Familiarity with analytics tools like Posthog, Metabase, Segment, BigQuery, Hightouch, and Amplitude.
• Experience with automation tools like Clay and enrichment services is a plus.
• Comfortable with asynchronous communication and remote work tools like Slack, Loom, and Linear.

Benefits:

• Opportunity to shape data strategy and infrastructure.
• Competitive salary of US $155,800 (Level 3).
• Fully remote work environment with a diverse global team.
• Transparent company culture with shared perks, benefits, and ways of working.
• Hiring process includes initial meet, manager interview, take-home task, co-worker task review, and founder interview.
• Encouragement for applicants who may not meet all requirements to apply and highlight their strengths.