Description

The Big Data Analyst plays a crucial role in analyzing large datasets to generate insights and support decision-making within an organization. They are responsible for interpreting data, identifying trends, and implementing data-driven solutions to optimize business performance.n Roles and Responsibilities: 1. Analyze and interpret complex data sets to extract meaningful insights; 2. Develop and maintain data pipelines for large-scale data processing; 3. Collaborate with cross-functional teams to understand data requirements and deliver actionable recommendations; 4. Identify patterns and trends in data to drive business strategy and decision-making; 5. Design and implement data visualizations to communicate findings effectively; 6. Perform data cleansing, integration, and validation to ensure accuracy and consistency of data; 7. Stay current with industry trends and best practices in big data analytics and technology.

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications

Certified Data Management Professional - Riversand Riversand, Cloudera Certified Qualified (CCP) Data Scientist - Upgrad Upgrad, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy Databricks Academy, Microsoft Certified: Azure Data Engineer Associate - Microsoft Microsoft, Oracle Database 12c Certified Implementation Specialist - Oracle Oracle

Required Skills

Accounts Payable Process, Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Claims Management, Client Relations, Collaboration Tools, Commercial Excellence, Consumer Electronics, Consumer Packaged Goods (CPG), Design Thinking, Digital Business Strategy, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion,



Industrial Manufacturing Processes, Insurance, Intelligent Automation (IA), Internet Businesses, Life Science {+ 10 more}

Language

English (Required)

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Office

Work Shift -

Evening Job (India)

Why join Genpact?
• Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
• Make an impact – Help global enterprises solve business challenges that matter
• Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

📌 Analyst - Data Engineering 5A (India)
🏢 1401 Genpact India
📍 India