Junior Data Analyst (Finance Analytics team)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 23h ago
The date the source published, not the day we noticed it (2026-10-01). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Georgia, Armenia, Poland, Vietnam, Bulgaria
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $112.0k–135.9k/yr
Middle 50% of 9 listings that do state pay — Finance · all levels · Georgia · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 3h ago · last seen just now
The listing
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.