Marketing Data Analyst - SnappPay

Job description

About SnappPay
At SnappPay, we are going to disrupt the financial industry in Iran and rebuild the concept of financial services for the digital world customers. We have the best talents in tech, product, and business areas and have been developing top-notch products.


About the Team
SnappPay is the financial arm of the Snapp Group, focused on financial products. We are leveraging Financial Technologies to provide our users with better and smarter solutions for Payment, Credit, Investment, Insurance, and their other financial needs.
Supporting Snapp Group’s mission of enhancing Iranian people's quality of life through Internet services, SnappPay’s mission is to bring financial inclusion to all Iranian.
This is just the beginning of Fintech disruption


Responsibilities
  • Conducting research and extracting necessary data for the whole team
  • Make logical correlations and provide insight based on facts
  • Provide fast & accurate reports/data
  • Suggest improvement activities to related teams.
  • Be in touch with relevant departments for mentioned activities
  • Monitoring different KPIs for business and marketing and delivering insight about improving each KPI based on market research and data analysis.
  • measure the impact of different actions in all aspects of marketing with data driven approach

Requirements

  • Having a Marketing/Business background
  • Strong communication & presentation skills (verbal and written)
  • Analytical person
  • Team player
  • Able to have a deep understanding of data to explore it to find hidden patterns
  • Able to share his/her reports to the team and stakeholders and communicate with them as a team to reach a satisfying solution.
  • Strong attention to detail and experience in using structured approaches to problem-solving
  • understanding of how to perform data extraction and manipulation, as well as programming languages (SQL and Python)
  • Able to work with marketing analysis tools like google analytics.
  • familiar with optimization tools like google optimize.
  • Having experience in marketing research is a plus.
  • Familiar with Machine learning methods especially clustering is plus