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
Cloud • Security • Software • Cybersecurity
The Solutions Architect II will design and implement complex web and security solutions, provide technical consulting, and optimize customer engagement with Akamai's services.
Top Skills:
AWSAzureDevOpsGCPJavaScriptPerlPythonWeb Development
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Lead design and implementation of ML tools for scenario classification, anomaly detection, sensor data quality, behavior analytics, and automated reporting. Build scalable pipelines and automated data curation for camera, radar, and LiDAR; create SIL/HIL replay interfaces, ground-truthing and annotation tools, and offline benchmarking. Integrate ML modules into simulation, HIL/SIL, and CI/CD ecosystems, implement reproducible workflows (Docker, CI/CD, artifact versioning, automated tests), monitor model/data quality and mentor junior engineers while collaborating with verification and perception teams.
Top Skills:
Artifact VersioningAutomated TestsCameraCi/CdDockerHilLidarRadarSensor FusionSilSimulation Platforms
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Design, implement, and optimize high-performance embedded inference systems for automotive ADAS. Develop and integrate ML runtimes on edge SoCs, ensure low-latency concurrency and I/O, integrate with ROS2/sensor frameworks, deploy to SIL/HIL and CI pipelines, and perform profiling and debugging of perception stacks (camera/radar/LiDAR) under real-time constraints.
Top Skills:
C++17C++20CameraCudaEmbedded Ml RuntimesGitlab CiHilJenkinsLidarNvidia OrinNvidia XavierNxp S32PythonQualcomm Sa8XxxRadarRenesas R-CarRos2Sensor FrameworksSilTi Tda4
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
