نسیبا
نسیبا

Data Analyst

Tehran/ Amir Abad
Full Time
Saturday to Wednesday, 8:00 – 17:00 (Thursdays if required)
-
Loan -Bonus -Military Service Option -Health insurance -Snacks -Breakfast
11 - 50 employees
Internet Provider / E-commerce / Online Services
Iranian company dealing only with Iranian entities
1399
Privately held
توضیحات بیشتر

key Requirements

3 years experience in similar position
Sql Server - Advanced
MySql - Advanced
Python - Advanced

Job Description

About the Role

We are a technology-driven LendTech company focused on building smart, data-led products.
We are looking for a skilled Data Analyst to support data-informed decision-making across the organization.
This role is centered on transforming raw data into reliable, actionable insights using SQL and Metabase, and clearly communicating findings to both technical and non-technical teams.

 

Key Responsibilities

  • Write, optimize, and maintain advanced SQL queries on production databases
  • Design and manage Metabase dashboards and reports for multiple departments
  • Collaborate with Product, Risk, Operations, Marketing, Compliance, and Finance teams
  • Translate business needs into measurable KPIs and metrics
  • Analyze lending-related data (users, loans, repayments, risk, funnels, performance)
  • Ensure data accuracy, consistency, and governance across reports
  • Support ad-hoc analysis and executive-level reporting
  • Help improve data culture and self-service analytics across teams


Required Skills & Qualifications

  • Strong expertise in SQL databases (PostgreSQL / MySQL / SQL Server or similar)
  • Hands-on experience with Metabase (dashboards, permissions, performance tuning)
  • Strong analytical thinking and problem-solving skills
  • Excellent communication skills with stakeholders from different departments
  • Ability to explain insights clearly to non-technical audiences
  • Experience working with large-scale, business-critical datasets

Nice to Have

  •  Experience in LendTech / FinTech / Banking / Payments
  • Understanding of risk, credit scoring, funnels, and lifecycle metrics
  • Familiarity with data modeling, ETL processes, or data warehouses
  • Experience with Python for data analysis
  • Knowledge of compliance or regulatory reporting


Work Location

  • Tarbiat Modares University

Employment Type

  • Full-time / On-site

Working Hours

  • Saturday to Wednesday, 8:00 – 17:00 (Thursdays if required)

Salary

  • Negotiable

Job Requirements

Gender
Men / Women
Language
English| Intermediate - 50%
Software
MySql| Advanced Sql Server| Advanced Python| Advanced

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