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Synchrony

Analyst, Consumer & Commercial Analytics

Synchrony

Analyst in Analytics focusing on data and project delivery to facilitate Synchrony’s growth and profitability. Collaborating with teams using analytical tools and delivering strategic insights.

Posted 7/23/2026full-timeRemote • 🇮🇳 IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in data extraction, transformation, and visualization, with a strong foundation in SQL, SAS, and Python for data manipulation. Capable of articulating analytical findings and recommendations to support business objectives in retail finance.

Highest-signal resume keywords
SQL Query WritingData VisualizationData TransformationAnalytical Tools ProficiencyRetail Finance Metrics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ExtractionData ValidationData ManipulationStatistical AnalysisQuantitative Analysis
Soft Skills
CommunicationProblem-SolvingAttention to Detail
Tools & Technologies
SQLSASPython
Industry Keywords
Retail FinanceAudit ProceduresBusiness ObjectivesProject Delivery

Tech Stack

Tools & technologies
Open SourcePythonSQL

About the role

Key responsibilities & impact
  • Understand the request of the business
  • Extract, transform, validate and visualize large data
  • Address project delivery enabling Synchrony’s growth and profitability
  • Leverage Data and Analytical tools to create and track metrics
  • Participate and execute on strategic ideas in line with business objectives and project requirements
  • Adherence to timely delivery, accuracy and documentation in line with Audit Procedures

Requirements

What you’ll need
  • BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 0 to 2 years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 2 to 4 years of experience
  • Academic knowledge of SQL/SAS/Open Source concepts, ability to write and execute queries
  • Basic Understanding of Core Concepts/Metrics in Retail Finance
  • Ability to articulate analysis outcomes into findings and recommendations
  • Working Knowledge on SQL/SAS/Python to perform data manipulation

Benefits

Comp & perks
  • Enhanced Flexibility
  • Option to work from home or workspaces in Regional Engagement Hubs
  • In-person engagement activities such as business meetings, trainings, and culture events