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Weekday AI (YC W21)

Manager Analytics

Weekday AI (YC W21)
India · Full-time · Associate

This role is for one of the Weekday's clients

Min Experience: 2 years

JobType: full-time

We are seeking a Manager - Analytics who is passionate about transforming data into actionable insights and driving data-led decision-making. This role sits at the intersection of business strategy and advanced analytics, with a strong focus on credit and credit card analytics. The ideal candidate will bring hands-on expertise in data extraction, aggregation, and visualization, along with the ability to translate complex datasets into clear, impactful insights for stakeholders.

You will work closely with cross-functional teams including business, risk, product, and technology to solve real-world problems using analytics. This role requires both strong technical depth and the ability to communicate insights effectively.

Requirements

Key Responsibilities

  • 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.

Required Skills & Experience

  • 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).

Preferred Competencies

  • Strong analytical and problem-solving mindset with attention to detail.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Excellent communication and stakeholder management skills.
  • Business-oriented approach with the ability to convert data into actionable insights

Key Skills

Ranked by relevance

tableau sql sas storytelling
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Posted
Jan 28, 2026
Type
Full-time
Level
Associate
Location
India

Industries

IT Services IT Consulting

Categories

Other

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