Data Analyst

About Client:

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.

Job Title: Data Analyst

Key Skills: Data analyst with Python + SQL + Pyspark , Power BI,

Job Locations: Chennai, Bangalore

Experience: 4 - 7 Years

Budget: 7 - 10 LPA

Education Qualification: Any Graduation

Job Description:

Strong analytical skills must be complemented by excellent communication and collaboration abilities. The ideal candidate will have a demonstrated track record of influencing key business decisions through impactful insights. You will also be expected to continuously evaluate and adopt new quantitative methods and technologies to improve analytical capabilities across the organization.

Essential Qualifications:

A bachelors degree in a quantitative field such as Engineering, Operations Research, Management Science, Economics, Statistics, Applied Mathematics, Computer Science, or Data Science is required; an advanced degree (Masters, MBA, or PhD) is preferred. Candidates should have at least 3 years of experience applying advanced statistical methods to large, complex datasets. Proficiency in PySpark, Python, R, and SQL is essential, along with familiarity in data visualization tools such as PowerBI, MicroStrategy, Tableau, QlikView, or D3.js. Experience working on platforms like Databricks and with IQVIA datasets is highly valued. Strong Excel and PowerPoint skills, along with a background in statistical modeling and machine learning, are a plus. The role requires the ability to extract and communicate key insights, along with excellent organizational and time management capabilities.

Desirable Qualifications:

The ideal candidate will possess strong leadership and interpersonal skills, with a proven ability to work effectively across business functions and with senior stakeholders. Excellent communication and influencing abilities are essential for presenting complex analyses in a concise and impactful manner. Strategic thinking and the ability to build credibility with the Commercial Leadership Team are key. Familiarity with scientific areas especially oncology is a plus. Experience working with big data technologies, including Spark, is desirable. Candidates should also demonstrate strong problem-solving skills and the ability to quickly grasp new concepts.

Interested Candidates please share your CV to [HIDDEN TEXT]