TL;DR

Data Analyst (Fintech): Understanding, measuring, and improving the entire employee experience from hiring to retention, with an accent on building clear dashboards and reports for HR data. Focus on running deep-dive ad-hoc analyses to derive actionable insights and streamlining reporting workflows.

Location: Remote from anywhere in the world (schedule based on Dubai time). Opportunity to choose a country for registration: Armenia, Georgia, Serbia, Portugal, Spain, UAE, or fully remote.

Company

%hirify_global% creates financial freedom by reshaping people's relationship with money, allowing shoppers to split payments online and in-store with no interest or fees.

What you will do

Build and maintain clear, insightful dashboards and reports across the employee lifecycle.
Analyze HR data (hiring, attrition, engagement, performance) to uncover key stories behind the numbers.
Perform deep-dive ad-hoc analyses and present findings that drive action.
Ensure data quality across HR systems and help streamline/automate reporting workflows.
Partner with HR, Finance, and Leadership to support strategic workforce planning and decision-making.
Act as the go-to person for all HR analytics inquiries.

Requirements

2–4 years of experience in HR analytics, people operations, or a related data role.
Hands-on experience with HR systems (HRIS, ATS), DWH (BigQuery), and visualization tools (Looker, Metabase).
Advanced knowledge of SQL and Python.
Fluency in spreadsheets (Excel or Google Sheets) for data storytelling.
Natural curiosity and a sharp eye for spotting patterns, gaps, and opportunities.
Clear communication skills to turn complex findings into simple narratives.

Nice to have

Experience in a startup, tech, or fintech environment.

Culture & Benefits

Flexible working hours with autonomy and responsibility.
Participation in the company’s employee stock options program.
Opportunity to be part of a fast-growing, international team.
Competitive compensation and a no-BS, high-trust environment.
Contribution to shaping how data drives people strategy.

Hiring process

Stage 1: Applied
Stage 2: Review
Stage 3: Screening Stage @%hirify_global%
Stage 4: Interview
Stage 5: Advanced Stage - %hirify_global%
Stage 6: Final interview @%hirify_global%
Stage 7: Offer Stage
Stage 8: Hired