Data Analyst

About the job

Must have : Data Analyst - The must-have skills are Python, advanced SQL, Hadoop/Spark/GCP expertise, strong data handling/analysis, and experience in financial services Job Description: • Minimum 5 years of work experience in Data Analysis, BI or Data Engineering roles with a quantitative degree preferably in Computer Science, Statistics or Mathematics. • Excellent Data handling and strong analytical skills to collect, transform and discover patterns. • Technical proficiency in writing code in Python, advanced SQL queries and a good understanding of other data mining tools & techniques. • Expertise in working on data/cloud platforms such as Apache Hadoop, Spark, GCP and experience working with large datasets. • Experience in translating business challenges into data problems and coming up with solutions. • Fluency in articulating findings to peer group and stakeholders. • Prior experience in data transformation projects is a bonus. • Experience in Banking or Financial services.

Requirements

• Python
• advanced SQL
• Hadoop
• Spark
• GCP
• data handling
• data analysis

Qualifications

• Computer Science
• Statistics
• Mathematics

Preferred Technologies

• Python
• advanced SQL
• Hadoop
• Spark
• GCP
• data handling
• data analysis

About the company

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.