Junior Data Analyst (Finance Analytics team)

RateHawk; United States; Remote; USD 60,000 - 85,000; Full time

Job summary

RateHawk is seeking a Junior Data Analyst to join the Finance Analytics team. You’ll support the finance department with ad hoc requests, pull and prepare data with SQL, and maintain reporting scripts.

You’ll build dashboards, check data quality, and explain numbers to stakeholders across finance, commercial, marketing and product. You’ll contribute to unit economics and plan‑vs‑actual analyses, while helping maintain data marts and improving existing reporting.

Qualifications

• 6–12 months of experience in data analytics, consulting, or a finance‑related role with hands‑on data work.
• Confident SQL skills with joins, window functions, CTEs and data quality checks.
• Experience with at least one BI tool (Tableau or Metabase).
• Strong Excel skills, including lookups, arrays, pivot tables and charts.
• Understanding of GMV, ARPU, margin, conversion and revenue.
• English at B2 level or higher and ability to work in GMT+3.

Responsibilities

• Turn data into actionable answers for the business and finance teams.
• Support ad hoc data requests and pull/prepare data with SQL.
• Maintain and improve reporting and reconciliation scripts and check data quality.
• Explain what the numbers show and partner with finance, marketing, product and commercial teams.
• Build dashboards and data marts; participate in unit economics and plan‑vs‑actual research.

Skills

SQL

Data analysis

English (B2+)

GMV / ARPU understanding

Data quality checks

Tools

Tableau

Metabase

Excel

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.

• 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.
• 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.