Experienced Data Analyst – Remote | Full-Time

We are looking for an experienced Data Analyst with strong expertise in subscription-based business models to help drive data-backed business decisions across multiple global markets and products. If you thrive on turning raw data into strategic insights and enjoy answering complex business questions with clarity and confidence, we’d love to hear from you. You will work closely with our business, marketing, and product teams to analyze large-scale datasets (millions of users), evaluate performance across regions and campaigns, and uncover actionable insights that impact growth, retention, and profitability. Our tech stack includes Ruby on Rails applications with MySQL databases , so hands-on data extraction skills are essential. Key Responsibilities Analyze subscription business metrics including: Retention & churn Cohort analysis LTV & ARPU CPA & ROAS Regional and product-level performance Extract raw datasets from MySQL databases using SQL Write scripts (Ruby, Python, or similar) to process and transform data Analyze marketing performance (especially Google Ads campaigns) Provide data-driven insights to support business strategy and decision-making Respond to ad-hoc queries from business stakeholders with structured analysis Identify patterns, trends, and growth opportunities across markets Build dashboards and reports using analytics tools or spreadsheets Collaborate with marketing teams to evaluate campaign effectiveness Required Skills and Experience 3+ years of experience as a Data Analyst (preferably in subscription or SaaS businesses) Proven experience handling large-scale user datasets (millions of users) Strong expertise in: SQL (advanced queries, joins, aggregations, performance optimization) Data extraction & transformation Proficiency in at least one scripting language (Ruby, Python, or similar) Deep understanding of: Cohort analysis Retention metrics Subscription revenue models CPA, CAC, LTV Experience analyzing Google Ads performance data Strong analytical thinking with business acumen Ability to translate complex data into clear business insights Comfortable working independently in a remote environment Nice to Have Experience working on a customer-facing live product with a large active user base Experience working with global markets Exposure to BI tools (e.g., Tableau, Power BI, Looker, Metabase, etc.) Experience working alongside marketing performance teams What We Offer / Benefits Competitive pay package Fully remote work environment 5 working days per week 30 days of paid leave annually — choose your own days No forced bond agreements Genuine work/life balance (we truly mean it) Occasional company-sponsored team meetups (domestic & international) Exposure to global teams Continuous learning, training, and strong growth opportunities