Weekday AI

Proactive software engineer recruitment via referrals

Manager Amazon Analytics

Data AnalysisConfirmed live in the last 24 hours

Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

At least 2 years of experience in analytics, business intelligence, or data analytics roles, with experience ranging from 2 to 8 years specified.
Strong hands-on expertise in SQL for data extraction, transformation, and aggregation.
Proficiency in SAS for advanced analytics, modeling, and statistical analysis.
Experience with Tableau or similar business intelligence tools for data visualization and dashboarding.
Solid understanding of credit card analytics, consumer credit, or lending-related data.
A strong foundation in advanced analytics, including segmentation, trend analysis, and performance metrics.
Ability to work with large, structured datasets and deliver insights at scale.

Responsibilities

Lead end-to-end analytics initiatives, from problem definition to insight generation and recommendation delivery.
Perform advanced analytics on large, complex datasets to identify trends, patterns, and business opportunities.
Design and execute data extraction and aggregation processes using SQL and SAS across multiple data sources.
Develop and maintain dashboards, reports, and visualizations using Tableau to support leadership and business teams.
Drive analytics use cases related to credit cards, consumer credit, and risk analytics, including portfolio monitoring, performance tracking, and customer behavior analysis.
Collaborate with product, risk, finance, and business teams to align analytics outcomes with organizational goals.
Ensure data accuracy, consistency, and governance across analytical outputs.
Translate analytical findings into clear, concise insights and present them to senior stakeholders.
Mentor and guide analysts, conduct reviews, and ensure high-quality analytical standards.
Continuously improve analytical frameworks, methodologies, and automation for scalable insights delivery.

Desired Qualifications

Experience working in financial services, fintech, banking, or credit-focused domains.
Exposure to stakeholder management in fast-paced, data-driven environments.
Prior experience leading or mentoring junior analysts.

Manager Amazon Analytics

Weekday AI · India (Remote) · Full-time · Posted 2026-01-27

Workplace: remote

Department: Weekday's Client via platform

Description

This role is for one of the Weekday's clients

Min Experience: 2 years

JobType: full-time

We are looking for a Manager – Amazon Analytics to drive data-led decision-making across business, risk, and credit-focused use cases. This role is ideal for an analytics professional who thrives at the intersection of advanced analytics, data engineering, and business insights, with hands-on expertise in credit and credit card analytics.

As a Manager, you will work closely with cross-functional stakeholders to translate complex data into actionable insights, build scalable analytical solutions, and mentor junior analysts. You will play a critical role in extracting, aggregating, and analyzing large datasets to support strategic initiatives and operational excellence.

Requirements

Key Responsibilities

Lead end-to-end analytics initiatives, from problem definition to insight generation and recommendation delivery.
Perform advanced analytics on large, complex datasets to identify trends, patterns, and business opportunities.
Design and execute data extraction and aggregation processes using SQL and SAS across multiple data sources.
Develop and maintain dashboards, reports, and visualizations using Tableau to support leadership and business teams.
Drive analytics use cases related to credit cards, consumer credit, and risk analytics, including portfolio monitoring, performance tracking, and customer behavior analysis.
Collaborate with product, risk, finance, and business teams to align analytics outcomes with organizational goals.
Ensure data accuracy, consistency, and governance across all analytical outputs.
Translate analytical findings into clear, concise insights and present them to senior stakeholders.
Mentor and guide analysts, conducting reviews and ensuring high-quality analytical standards.
Continuously improve analytical frameworks, methodologies, and automation for scalable insights delivery.

Required Skills & Qualifications

2–8 years of experience in analytics, business intelligence, or data analytics roles.
Strong hands-on expertise in SQL for data extraction, transformation, and aggregation.
Proficiency in SAS for advanced analytics, modeling, and statistical analysis.
Experience with Tableau or similar BI tools for data visualization and dashboarding.
Solid understanding of credit card analytics, consumer credit, or lending-related data.
Strong foundation in advanced analytics, including segmentation, trend analysis, and performance metrics.
Ability to work with large, structured datasets and deliver insights at scale.
Excellent problem-solving skills with strong attention to detail.
Strong communication skills with the ability to explain complex analyses to non-technical stakeholders.

Preferred Qualifications

Experience working in financial services, fintech, banking, or credit-focused domains.
Exposure to stakeholder management in fast-paced, data-driven environments.
Prior experience leading or mentoring junior analysts.

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

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