SAILY
Technology
DataAnalyst
Neural analysis suggests this role is
optimal for Mid-Senior candidates.
“Data Analyst at SAILY. Skills: Data analysis, SQL, Python, Data visualization. Define key metrics. Track key metrics”
What You'll Achieve.
Find new business opportunities; Uncover growth opportunities; Uncover optimization opportunities
Industry & Context.
Problem-solving mindset; Translate data into insights
What They're Looking For.
Must Have
2+ years of experience in a data analyst role, Solid proficiency in SQL, Python (or R) for data manipulation, Experience with data visualization tools, Proficiency in Google Analytics
Nice to Have
Experience with Google BigQuery, Familiarity with customer lifecycle frameworks, Experience in A/B testing analysis, Statistical modeling experience, Marketing attribution experience
What You'll Do.
Develop automated reports
Maintain automated reports
Conduct deep-dive analyses
Deliver presentations of insights
Support development of scalable analysis
Support maintenance of scalable analysis
How You'll Work.
Team & Collaboration
Cross-functional teams
Communication Scope
Data-driven insights presentation
Full Job Description
AT SAILY, WE’RE REMOVING THE HASSLE FROM GETTING SECURE DATA PLANS WHILE TRAVELING. No roaming charges, no plastic SIM cards. Just fast, secure mobile data in 200+ countries. Join the team behind Lonely Planet’s #1 eSIM—built for explorers, powered by NordVPN. Your impact? Helping people stay securely connected, wherever they go. MAIN RESPONSIBILITIES - Define, track, and optimize key metrics and KPIs for product and marketing teams; - Analyze users and product to find new business opportunities and areas for improvement; - Develop and maintain automated reports and dashboards that provide visibility into customer behavior and product performance; - Conduct deep-dive analyses on customer cohorts, segmentation strategies, and touchpoints to uncover growth and optimization opportunities; - Deliver clear, compelling presentations of data-driven insights to cross-functional stakeholders; Support the development and maintenance that enable scalable analysis (e.g. user segmentation, attribution modeling, funnel analysis). CORE REQUIREMENTS - 2+ years of experience in a data analyst role, ideally in telecommunications, SaaS, or a digital product environment; - Solid proficiency in SQL (experience with Google BigQuery is a strong plus) and Python (or R) for data manipulation and analysis; - Hands-on experience working with CRM or marketing datasets (e.g., user lifecycle, campaign tracking, customer behavior); - Familiarity with customer lifecycle frameworks and techniques for LTV, churn, retention, and cohort analysis; - Strong experience with data visualization tools (e.g., Looker, Tableau, Power BI, or equivalent); - Proficiency in Google Analytics or other web/app analytics platforms; - Experience in A/B testing analysis, statistical modeling, or marketing attribution is a plus; - Excellent communication skills, a problem-solving mindset, and the ability to translate data into actionable insights for diverse audiences. What We Offer Innovate with industry leaders Work al
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