Lead end-to-end analytics for credit and risk use cases: extract and aggregate large datasets, run advanced analyses, build Tableau dashboards, deliver insights to stakeholders, and mentor junior analysts to drive data-led decisions.
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.
RequirementsKey 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.
- 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.
- 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.
Similar Jobs
Artificial Intelligence • Productivity • Software • Automation
Leads Zapier’s India entity as statutory Board Director and General Manager. Owns local operations, governance, legal, tax, audit, transfer pricing, regulatory compliance, risk management, vendor relationships, and people decisions. Serves as the bridge between India-based teams and global leadership, translating strategy into execution and establishing operating rhythms for a fully remote workforce. Partners with Deloitte, HR, finance, auditors, regulators, and global executives while overseeing hiring, performance, compensation, employee relations, and compliance with Indian labor requirements.
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads industrial engineering for semiconductor assembly and test manufacturing, including capacity and resource planning, labor optimization, operational excellence, cost reduction, manufacturing analytics, and factory systems. Develops capacity models, staffing standards, dashboards, and automation initiatives while supporting budgets and capital planning. Builds and mentors an industrial engineering team and collaborates globally to standardize manufacturing practices and improve efficiency, utilization, cycle time, and cost performance.
Top Skills:
Advanced AnalyticsAIManufacturing SimulationMesExcelPower BISQLTableau
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Lead Ericsson Antenna System’s Asia business, owning regional strategy, sales, business development, customer partnerships, and profit and loss. The role manages antenna and filter product lines, establishes strategic customer relationships, collaborates with market-area organizations, and directs annual business planning and target setting. Success requires telecommunications expertise, international leadership, large-account management, customer-facing experience, strong business acumen, and the ability to lead culturally diverse teams.
Top Skills:
Ericsson Antenna SystemMobile Communication AntennasRf FiltersTelecommunications
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
