Data Analyst (Finance Department)

TripleTen is a service that empowers individuals, regardless of their prior experience, to embark on the exciting and challenging journey of mastering IT professions such as software engineering, data science, business intelligence analytics, and QA engineering in a feasible and accessible way, ultimately leading to employment opportunities.

Our mission is to ensure that every student has the opportunity to successfully master a new profession and become a valuable member of the IT industry. We are successfully producing highly desirable tech professionals in the most competitive EdTech market in the world - the US market.

• Maintain and develop financial reporting for all business units (Product, Marketing, HQ);
• Analyze key metrics such as First Cash, Bookings, Refunds, Revenue;
• Supervise revenue recognition process, adapt revenue recognition to the new products
• Work on automating financial reports and processes using modern tools (PySpark, Airflow, Tableau);
• Develop dashboards and reports for various stakeholders (management, operational teams);
• Collaborate closely with the CFO and other teams to create analytics that meet current and strategic business needs.

• Remote full-time collaboration
• Extended medical insurance for employees and 80% compensation of insurance for family members (if you are already in Belgrade and join our team there);
• A comfortable digital office. We use modern digital tools—Miro, Notion, Zoom, etc.— to make collaborating together process seamless;
• Professional freedom, where we trust your experience instead of wasting each other's time and effort micromanaging;
• Tangible results measured by the percentage of students who find a job after completing one of our courses;
• Growth. Our product is expanding quickly, so it's a great time to get on board and challenge yourself;
• Diverse and tight-knit team which is spread out across Serbia, the US, Georgia, Armenia, Israel and more.

REQUIREMENTS

• 2+ years of experience as a financial analyst or in a related role;
• Strong understanding of financial metrics and their impact on business processes (Revenue, Bookings, ARPPU, Cash In, etc.);
• Sufficiently proficient in Python and SQL for analytics & automatisation;
• Working experience on analytics tools required (SQL, Excel, Tableau, Python, PySpark, Airflow);
• English proficiency at B2 level or higher.

Preferred qualifications:

• Familiar with educational products;
• Able to independently analyze data and generate hypotheses;
• Experience with PySpark.