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As an Analyst, you will work across lending functions, using data to support analysis and generate insights that inform decision-making across growth, and business operations. You will work with structured datasets to understand user behavior and funnel metrics, helping identify trends and patterns.
You will collaborate with Senior Analysts to support analytical requests, assist in running experiments.
Support analytical requests from internal data team
Work with large datasets to extract, clean, and analyze data using SQL/Python
Build and maintain recurring reports and derive actionable insights from them
Perform exploratory data analysis to identify trends, patterns, and anomalies
Ensure accuracy, consistency, and reliability of data outputs
Have 1+ years of experience in analytics role
Hold a Bachelor's or Master's degree in a quantitative field such as Engineering, Statistics, Mathematics, or a related discipline.
Are comfortable working on defined tasks as well as exploring new problems
Are looking to grow from execution-focused work to insight-driven contributions
Are able to adapt to changing requirements and handle shifting priorities
CredAvenue is building India’s first and largest de-facto operating system for the discovery, investment, fulfilment, and collection of any debt solution.We reached $1.3 Billion valuation in March 2022, becoming India's fastest fintech Unicorn. As of today, CredAvenue is backed by Sequoia Capital, Insight Partners, B Capital, Lightrock, CRED, TVS Capital Funds, and Dragoneer Investment Group. Pioneering the Startup 2.0 concept, we are on a mission to deepen and power the $120 Trillion global enterprise debt market which would unlock a GDP multiplier and thus, create massive economic value.
Job ID: 147043421
Skills:
Advanced Excel, Sdlc, Stlc, Power Bi, Data Testing, T-sql, Automation Tools, Microstrategy, QA Methodologies
Skills:
Golang, Python, Data Analysis, Fraud risk management, Security and threat analysis
Skills:
data engineering , Tableau, Data Modeling, Cloud Storage, Python, BigQuery, Power Bi, Dataproc, Data Architecture, Sql, Gcp, Iam, Spark, DataFlow, Airflow, Cloud Logging, CI CD, Pub Sub, Cloud Composer, Cloud Run, ETL ELT pipelines, Vertex AI, Monitoring, Cloud Functions, Governance concepts, Looker, AWS data engineering tools, Secret Manager, GCS, Infrastructure-as-Code, Azure data engineering tools
Skills:
charles river ims , Sql, Devops, PowerShell, Servers, Automation, Networks, Python, Perl, Ms Sql Server, Securities trading software, Disaster Recovery, Business Continuity, database software, FIX
Skills:
Apttus Cpq, Soql, Salesforce Cpq, Salesforce Administration, Python, automation scripting tools
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