Manager, Amazon Analytics

Job not on LinkedIn

🕒 January 27

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

☁️ SaaS

🎯 Recruiter

Human Resources • SaaS • Recruitment

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• 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.

🎯 Requirements

• 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.