✦ Luna Orbit — Data & Analytics

Senior Data Analyst - Global Payment Network (Discover)

at Discover Financial Services

📍 5 Locations Unknown 💰 $111K – $126K USD / year Posted March 25, 2026
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Position Details

Salary $111K – $126K USD / year
Type Full-Time
Experience mid
Exp. Years 2+ years
Education Bachelor's in a Science, Technology, Engineering, Mathematics discipline
Category Data & Analytics

About this role

Mid-level Data Analyst supporting Discover's Global Payment Network with data analysis, visualization, and quality management.

Key Responsibilities

  • Analyze payment data
  • Build data models and dashboards
  • Ensure data quality
  • Collaborate with tech teams
  • Support data-driven decisions

Technical Overview

Environment includes Python, R, Spark, SQL, AWS, with focus on data analysis, visualization, and data governance.

Ideal Candidate

The ideal candidate is a mid-level data analyst with 2+ years experience in data analysis, proficient in Python, R, Spark, SQL, and AWS, with strong analytical skills.

Must-Have Skills

Degree in ScienceTechnologyEngineeringMathematicsScripting experience in PythonRSparkSQLExperience with data warehouses/SQLExperience utilizing and developing within AWS services

Tools & Platforms

AWS

Required Skills

PythonRSparkSQLData WarehousingData AnalysisData VisualizationMetadataData QualityAWS

Hard Skills

PythonRSparkSQLData WarehousingData AnalysisData VisualizationMetadataData QualityAWS

Soft Skills

analytical thinkingproblem solvingcommunicationcollaborationattention to detail

Industry & Role

Industry Finance & Banking
Job Function Performing data analysis and visualization for global payment systems
Role Subtype Data Analyst
Tech Domains Python, R, Spark, SQL / PostgreSQL, Amazon Web Services

Clearance & Visa

Clearance Required None
Visa Sponsorship No

Keywords for Your Resume

data analystdata analysisdata visualizationpythonrsparksqldata warehousingawsbig datadata qualitymetadatadata governance

Deal Breakers

Less than 2 years of experience in data analytics, No experience with AWS or data warehouses, Lack of scripting experience in Python, R, Spark, or SQL

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