TL;DR
Data Analyst (Fintech): Analyzing large datasets to identify trends and build financial models for the hirify.global for Business team with an accent on business planning and sales funnel optimization. Focus on developing dashboards, automating reporting cycles, and communicating data-driven insights to stakeholders to fuel company growth.
Location: Hybrid (requires at least 12 in-office days per month).
Company
hirify.global is a rapidly growing international tech company focused on urban mobility with over 200 million customers in 50+ countries.
What you will do
- Analyze large datasets and identify actionable trends to support business planning.
- Own and automate monthly and quarterly business reporting cycles.
- Develop and maintain dashboards using BI tools to improve data visibility.
- Build data-driven business cases to identify and leverage growth opportunities.
- Collaborate with stakeholders to lead optimization initiatives across the business.
Requirements
- Bachelor’s or Master’s degree in a quantitative field like Mathematics, Economics, or Computer Science.
- 3+ years of experience in data analytics or financial modeling.
- Strong SQL proficiency.
- Experience with at least one BI tool (Looker, Tableau, Power BI, or similar).
- Excellent proficiency in English, both written and verbal.
- Demonstrated business acumen and ability to collaborate effectively.
Nice to have
- Experience with Python or R for data analysis.
- Knowledge of DBT and data modeling best practices.
- Familiarity with B2B sales funnel metrics.
Culture & Benefits
- Competitive salary and stock options package.
- Hybrid work model emphasizing both flexibility and in-person collaboration.
- Comprehensive wellness perks for physical and mental health.
- One-month paid sabbatical after 5 years of tenure.
- Regular company events and team gatherings.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →