Manager Amazon Analytics
India
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingExtract and aggregate data across sources using SQL and SAS
Build and maintain Tableau dashboards and reports for leadership
Monitor credit card and consumer credit portfolio performance and behavior
Mentor and review the work of junior analysts
From the employer’s posting
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.
including portfolio monitoring, performance tracking, and customer behavior analysis
Mentor and guide analysts, conducting reviews and ensuring high-quality analytical standards.
What you’ll bring
All qualificationsPreferred experience
- Experience working in financial services, fintech, banking, or credit-focused domains.
- Prior experience leading or mentoring junior analysts.
Qualification wording
Experience working in financial services, fintech, banking, or credit-focused domains.
Prior experience leading or mentoring junior analysts.
Tools in this posting
- SAS
- SQL
- Tableau
Source — Tool mentions in context
- 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.
- 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.
- 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.
- 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.
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 15, 2026 · 76 days ago
- Recorded sightings
- 393
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Jan 27, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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