Back
High due to Tier-1 brand, generalist data role, metro location, and broad skill requirements.
Core data analytics skills transfer across industries; payments domain experience is optional.
Many mandatory technical skills and platform requirements increase filtering rigor.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain advanced reports and data visualizations to support global and regional pricing teams across multiple products and markets.
Translate business requirements into technical solutions and deliver high-quality analytics outputs on time.
Manage large-scale data manipulation, apply data quality controls, and present insights through interactive dashboards and presentations.
Proficiency in SQL and experience with SQL Server and Microsoft BI stack (SSIS, SSAS, SSRS is a plus).
Experience with data visualization tools such as Tableau, Power BI, or Domo.
Bachelor’s or Master’s degree in Computer Science, IT, Engineering, Mathematics, Statistics, or related field.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working with financial institutions or in the payments domain preferred.
Demonstrated ability to convert business needs into data-driven insights and solutions for a global audience.
Familiarity with programming languages (Python, R, Pyspark), big data environments (Hadoop, Ozone), and AI/ML techniques is advantageous.