15 hours ago

Data Analyst, Finance Department

TripleTen Indonesia

Hybrid
Full Time
$85,000
Hybrid

Job Overview

Job TitleData Analyst, Finance Department
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$85,000
LocationHybrid

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Job Description

About TripleTen

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.

What You Will Do as a Data Analyst, Finance Department

  • 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.

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.

What TripleTen Can Offer You

  • 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.

Key skills/competency

  • Financial Reporting
  • Data Analysis
  • SQL
  • Python
  • Tableau
  • Revenue Recognition
  • PySpark
  • Airflow
  • Business Intelligence
  • Financial Metrics

Tags:

Data Analyst
Financial Analyst
Finance
Reporting
Analysis
Automation
SQL
Python
Tableau
PySpark
Airflow
Excel
Business Intelligence
EdTech
Metrics
Revenue
Bookings
Dashboards
Stakeholder Management
Data Visualization
Data Engineering

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How to Get Hired at TripleTen Indonesia

  • Research TripleTen's mission: Understand their commitment to accessible IT education and global impact to tailor your application.
  • Highlight financial analytics skills: Showcase your proficiency in SQL, Python, Tableau, and financial metric analysis on your resume.
  • Demonstrate automation experience: Provide examples of how you've automated financial reports or processes using tools like PySpark and Airflow.
  • Emphasize remote collaboration: Detail your experience working effectively in diverse, geographically distributed teams.
  • Prepare for technical and behavioral interviews: Be ready to discuss your financial analysis expertise and problem-solving approaches for a Data Analyst role.

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