Weekday (YC W21)

Manager, Analytics

Weekday (YC W21)

full-time

Posted on:

Location Type: Remote

Location: India

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Tech Stack

About the role

  • Lead end-to-end data analytics initiatives, from problem definition to insight generation and presentation.
  • Perform data extraction, aggregation, and manipulation from large, complex datasets using SAS and SQL.
  • Build and maintain analytical datasets to support reporting, advanced analytics, and business intelligence use cases.
  • Develop dashboards and visualizations using Tableau to track performance, identify trends, and support decision-making.
  • Apply advanced analytics techniques to solve business problems related to credit risk, credit card portfolios, customer behavior, and performance optimization.
  • Analyze credit and credit card data to generate insights around customer acquisition, spend behavior, delinquency, risk, and portfolio health.
  • Partner with business stakeholders to understand requirements and convert them into analytical solutions and insights.
  • Present findings and recommendations clearly to senior stakeholders using data-backed storytelling.
  • Ensure data accuracy, consistency, and governance across analytics deliverables.
  • Support ad-hoc analysis and deep dives as required to address emerging business needs.

Requirements

  • 2–7 years of experience in Analytics or Data Analytics, preferably in BFSI, financial services, or credit card domains.
  • Strong hands-on experience with SAS for data manipulation, analysis, and reporting.
  • Advanced proficiency in SQL for data extraction, joins, aggregations, and performance optimization.
  • Solid experience in data extraction, aggregation, and table creation from multiple data sources.
  • Expertise in Tableau for building interactive dashboards and visual analytics.
  • Strong understanding of credit and credit card analytics, including customer behavior, risk metrics, and portfolio performance.
  • Exposure to advanced analytics techniques such as segmentation, trend analysis, and predictive insights (experience with statistical or ML methods is a plus).
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analyticsdata extractiondata manipulationSASSQLTableauadvanced analytics techniquescredit risk analysiscustomer behavior analysisperformance optimization
Soft Skills
problem definitioninsight generationdata-backed storytellingstakeholder engagementcommunication