Data Analyst

at Nord Security
📍 Vilnius, Lithuania
📍 Kaunas, Lithuania
EUR 38,400-70,800 per year
MIDDLE SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Marketing @ 3 Go @ 3 Python @ 1 SQL @ 1 A/B Testing @ 1 Looker @ 6 R @ 1 Tableau @ 6 Communication @ 3 CRM @ 3 BI @ 6 Google Analytics @ 5 Power BI @ 6

Details

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 150+ 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.

Responsibilities

  • Define, track, and optimize key metrics and KPIs related to customer engagement, retention, and churn across the eSIM product lifecycle.
  • Work closely with marketing teams to evaluate the effectiveness of campaigns, lifecycle programs, and user journeys.
  • 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).

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.

Benefits

The description does not explicitly list benefits beyond the work impact and company context.