Reef.ai is seeking a remote Data Analyst to join our rapidly growing team in Hawaii.

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Job Title: Data Analyst - Customer Onboarding & ML Data Preparation

Location: [Remote]

About Reef.ai

Reef.ai is an AI-powered customer data, scoring, and recommendation platform. Reef leverages machine learning to deliver Outcome-Based Scoring, AI-led customer scores optimized for specific revenue outcomes.

Reef is addressing a significant gap in the market by taking on the highly valuable and nuanced problem of customer scoring and resource prioritization. We’re off to a great start with a strong team, an amazing product, and experienced, supportive investors. Now we’re looking to add the right people to help us take our next step towards becoming a market-defining company.

Role Overview: We are looking for a Data Analyst to join our team and play a key role in onboarding customers and preparing their data for machine learning applications. You will work closely with customer success, data engineering, and ML teams to help transform raw data into high-quality inputs that can power predictive models and advanced analytics.

Responsibilities:

Collaborate with customer success teams to understand and guide client data needs during onboarding.
Clean, transform, and validate large datasets, ensuring accuracy and readiness for machine learning workflows.
Identify and resolve data discrepancies, inconsistencies, and quality issues before model deployment.
Develop and maintain scalable data preparation processes and pipelines, utilizing SQL and relevant ETL tools.
Work alongside machine learning engineers to ensure data structures meet modeling requirements.
Provide insights and recommendations based on customer data, contributing to improved product and process enhancements.
Document data transformation and preparation procedures, ensuring transparency and reproducibility.

Qualifications:

2+ years of experience in data analysis, data wrangling, or data engineering, ideally in a customer-focused or SaaS environment.
Proficiency in SQL for data extraction and transformation; experience with Python is a plus.
Strong analytical skills and experience handling large datasets.
Excellent communication skills to effectively liaise between technical and non-technical stakeholders.
Ideal candidates will have familiarity with ETL tools and data transformation platforms, such as DBT and Apache Airflow, along with cloud environments like Google Cloud and AWS. Familiarity with data ingestion tools (e.g., Fivetran) and version control (e.g., Git) is also a plus.

Why Reef:

Join a start-up solving a high-impact problem and backed by experienced leadership and investors.
Positive, supportive culture where employees are empowered to do their best work.
Amazing opportunity for professional growth. Young company, allowing you to be empowered and trusted to make impactful decisions and contribute strategically.
Attractive compensation package including early-stage equity/stock options.
Flexible working arrangements.

Benefits:

Health, dental, and vision insurance
WFH stipend
Unlimited PTO — take time when you need it
Twice a year company meetups — this year the team went to Hawaii in Feb and Portland in August
11 public holidays

If you possess these qualities and are excited about the opportunity to join an early-stage startup and make a significant impact on its success, we encourage you to apply.

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