Data Analyst

About Us

Holafly is a high-growth scale-up revolutionizing how businesses and travellers connect to the internet abroad. Since 2018, we’ve empowered travellers in over 200 destinations worldwide with secure and reliable eSIM solutions. With a team of 500+ professionals across multiple countries, we are scaling globally to support corporate and enterprise clients with seamless connectivity.

We’re not just connecting people - we’re enabling companies and their employees to stay productive, informed, and competitive, wherever in the world they do business.

About the Role

We are seeking a highly analytical and detail-oriented Data Analyst to join our team. In this role, you will be responsible for transforming complex data into clear, actionable insights and empowering business teams through effective use of our Business Intelligence (BI) tools. You will train stakeholders across the organization on data best practices and advise them on how to maximize the value derived from our data.

This position has a strong focus on customer retention, recurrence, and loyalty, requiring you to work closely and cross-functionally with teams such as Marketing, Product, and Customer Support. You will also play a key role in analyzing and quantifying the impact of CRM campaigns and lifecycle initiatives, ensuring that data-driven insights translate into meaningful business actions.

Key Responsibilities:

• Collect, clean, analyze, and interpret large datasets related to customer behavior, lifecycle, CRM performance, and recurrence patterns.
• Build clear, concise, and impactful visualizations, reports, and dashboards (preferably in Looker Studio) that help business teams monitor retention, recurrence, cohorts, and key lifecycle metrics.
• Train and upskill different business units on BI tools, improving their ability to self-serve insights and understand data effectively.
• Provide expert guidance to CRM, Recurrence, and Loyalty business stakeholders on how to leverage data to answer key questions, evaluate opportunities, and support decision-making.
• Lead deep-dive analyses on acquisition cohorts, behavioral segments, repeat purchase drivers, churn signals, and leakage points.
• Analyze the end-to-end performance of CRM campaigns and Loyalty actions, measuring uplift, segmentation impact, LTV contribution, and overall business outcomes.
• Work closely with data engineers to ensure data accuracy, consistency, and accessibility across platforms, including the integration of CRM data sources like Klaviyo.
• Identify opportunities to improve data processes, reporting frameworks, and analytical methodologies to increase efficiency and insight quality.
• Stay up-to-date with industry best practices in BI, data visualization, customer lifecycle analytics, and data-driven decision-making.

Requirements:

• Bachelor’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Business Analytics) or a business-related discipline with strong analytical training.
• Proven experience as a Data Analyst or in a similar analytical role, preferably in digital, e-commerce, CRM, lifecycle, or retention-focused environments.
• Expert-level SQL skills (must-have), with the ability to extract, transform, and analyze large datasets across multiple sources.
• Extensive experience with BI and data visualization tools (preferably Looker Studio; also Power BI, Tableau, Looker, Mode, or similar).
• Demonstrated ability to create dashboards and visualizations that clearly communicate insights, performance trends, and customer lifecycle behavior.
• Strong analytical, problem-solving, and critical thinking abilities, with the ability to translate findings into actionable business insights.
• Experience working with or analyzing CRM data, and understanding how campaigns influence segments, cohorts, LTV, retention, and recurrence.
• Excellent communication and storytelling skills, capable of explaining data insights and technical concepts to non-technical audiences.
• Ability to work independently and collaboratively in a fast-paced, high-growth environment, managing multiple priorities.
• High attention to detail and a strong commitment to data quality, accuracy, and integrity.
• Comfortable working cross-functionally with teams such as Product, CRM, Marketing, Strategy, and Customer Support.
• Fluent in English (Spanish is a plus).

Nice to Have

• Experience working in startups or scale-ups, preferably in digital or e-commerce businesses or SaaS environments.
• Experience in loyalty programs, customer retention strategies, or lifecycle management.
• Familiarity with CRM platforms and data structures (Klaviyo experience is a strong plus).
• Exposure to customer behavior analytics, product analytics, or LTV modelling.
• Basic knowledge of Python for light analysis or automation (not required, but beneficial).
• Understanding of A/B testing, uplift analysis, or measurement frameworks used in CRM and lifecycle optimization.

What we Offer

• Remote work 
• Great company culture and international environment
• Education Bonus
• Paid time off to relax and recharge
• Highly-skilled teammates and lots of opportunities for growth, learning and development!