Job Openings Data Analyst

About the job Data Analyst

Term: 12 months

Required Qualifications:

  • A degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or Engineering
  • A minimum of 3-5 years of relevant work in performing data exploration and feature engineering
  • Proficiency in statistical techniques such as Gradient Boosting, Linear & Logistic Regression, Decision Trees, Clustering
  • Proficiency in using query languages such as Python, and in Data Analysis and Management Tools such as SQL, Power BI
  • Strong ability to interpret complex data into actionable insights to identify opportunities for growth and improvement
  • Excellent stakeholder management skills, with a collaborative, diplomatic, and flexible approach
  • Excellent presentation skills, including the ability to communicate complex ideas effectively, both verbally and in writing
  • Proficiency in storyboarding data storytelling, with strong skills in MS Excel and MS PowerPoint
  • Understanding of local market conditions and industry regulations

Nice to have:

  • Understand the macro trends impacting payments, banks and financial services and assimilate the information to develop value propositions and execute client adoption. 

Responsibilities:

  • Hands-on development of detailed project scopes and methodologies, as well as designing, and implementing solutions using appropriate tools and techniques
  • Ensuring quality control and maintaining up-to-date documentation for all data science projects
  • Monitoring client portfolio growth data, identifying spending trends, and pinpointing growth opportunities using non-traditional data and new modeling techniques
  • Providing data support for card campaign design, including identification of customer spending tiers, set-up and maintenance of Test & Control groups for campaign targeting, and performance tracking of ongoing and tactical campaigns
  • Regularly tracking and benchmarking the portfolio dashboard, focusing on market segments and channel opportunities, and providing data-driven insights to enhance performance of both ongoing and ad-hoc/tactical campaigns
  • Managing communication with clients and stakeholders effectively