Junior Data Analyst (Finance Analytics team)

Emerging Travel Group

Polska

Remote

PLN 60,000 - 90,000

Full time

2 days ago
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Benefits offered by this job

Flexible schedules
Remote work
Structured onboarding
Personal development plan
Internal lectures and demos
Corporate English school

Job summary

Emerging Travel Group seeks a junior Data Analyst to join the Finance Analytics team. You will turn data into answers for the business, supporting finance with ad hoc SQL data work, maintaining reporting scripts, and ensuring data quality.

You will build dashboards and data marts and collaborate with finance, commercial, marketing and product teams in a data-driven travel-tech environment. The role is ideal for someone early in their analytics career who wants to grow fast, understands how

Qualifications

  • 6-12 months of experience in data analytics, consulting, or a finance-related role with hands-on data work.
  • Confident SQL skills, including joins, window functions, CTEs, aggregations, and data quality checks.
  • Experience with at least one BI tool (Tableau or Metabase).
  • Good Excel skills, including lookup and array functions, pivot tables, and charts.
  • Understanding of GMV, ARPU, margin, conversion, and revenue metrics.
  • English at B2 level or higher.
  • Ability to work in the GMT+3 time zone.

Responsibilities

  • Pull and prepare data with SQL for ad hoc business requests.
  • Maintain and improve reporting and reconciliation scripts.
  • Check data quality and explain what the numbers show.
  • Build dashboards and data marts for stakeholders.
  • Collaborate with finance, commercial, marketing and product teams.

Skills

SQL skills
BI tools
Excel
English B2
GMT+3 availability
Data analytics

Tools

Tableau
Metabase
Python

Job description

As a Junior Data Analyst in the Finance Analytics team, you'll turn data into answers for the business. Most of your work will be supporting the finance department with ad hoc requests: pulling and preparing data with SQL, maintaining and improving existing reporting and reconciliation scripts, checking data quality, and explaining what the numbers show. You'll also take part in research on unit economics and plan-vs-actual, build dashboards and data marts, and work with stakeholders from finance, commercial, marketing, and product teams. The company is strongly data-driven and has a modern tech stack, so the role is a great fit for someone early in their analytics career who wants to grow fast, enjoys working with numbers, and wants to understand how a travel-tech business really makes money.

Requirements
  • 6-12 months of experience in data analytics, consulting, or a finance-related role with hands-on data work. Internships count
  • Confident SQL skills, including joins, window functions, CTEs, aggregations, and data quality checks
  • Experience with at least one BI tool. We use Tableau and Metabase
  • Good Excel skills, including lookup and array functions, pivot tables, and charts
  • Understanding of key business metrics such as GMV, ARPU, margin, conversion, and revenue
  • English at B2 level or higher
  • Ability to work in the GMT+3 time zone
Nice to have
  • Python for data analysis (pandas, numpy, plotly, seaborn, matplotlib)
  • Interest in finance, such as P&L, cost structure, and unit economics, or a related degree
  • Hands-on use of AI tools, such as agents, to speed up your work
Benefits
  • Flexible schedules and opportunity to work remotely
  • Ambitious and supportive team who love what they do, appreciate each other, and grow together
  • A structured onboarding, a personal development plan, and regular internal lectures and demos from the team
  • Internal programs for adaptation and training, development of soft skills, and leadership abilities
  • Partial compensation for participating in external training and conferences
  • Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world
  • Corporate prices on hotels and travel services
  • MyTime Day Off - an extra non-working day without loss of compensation
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