Manager Amazon Analytics

Weekday 1; India; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

Weekday 1 is seeking a Manager – Amazon Analytics to drive data-led decision-making across business, risk, and credit-focused use cases. The role combines advanced analytics, data engineering, and business insights with hands-on credit analytics experience.

You will lead analytics initiatives, mentor junior analysts, and collaborate with product, risk, finance, and business teams to deliver scalable analytical solutions and governance across large datasets.

Qualifications

• 2–8 years of experience in analytics, BI, or data analytics roles.

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 and opportunities.
• Design and execute data extraction and aggregation using SQL and SAS across multiple data sources.
• Develop and maintain dashboards, reports, and visualizations using Tableau for leadership and business teams.
• Drive analytics use cases related to credit cards, consumer credit, and risk analytics.

Skills

SQL

SAS

Tableau

Credit card analytics

Advanced analytics

Data visualization

Job 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.