Lead Data Analyst 4C

Stellenbeschreibung:

Lead Data Analyst

Ready to turn bold ideas into real-world impact?

At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting‑edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.

Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

Responsibilities

  • Develop and implement data analysis strategies and processes;
  • Lead a team of data analysts to analyze and interpret complex data sets;
  • Collaborate with cross‑functional teams to identify business needs and drive data‑driven decision making;
  • Ensure data accuracy and integrity through data validation and quality control processes;
  • Utilize advanced data mining techniques and tools to discover patterns and trends in large datasets;
  • Present findings and insights to stakeholders using data visualization techniques;
  • Stay current with industry trends and best practices in data analytics and big data technologies;
  • Mentor and train junior data analysts on data analytics techniques and tools.

Qualifications

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

Certifications

  • Certified Data Management Professional - RiversandRiversand
  • Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy
  • IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBMIBM
  • Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft
  • Oracle Database 12c Certified Implementation Specialist - OracleOracle

Required Skills

  • Consumer Packaged Goods (CPG)
  • Databricks SQL
  • Oracle SQL
  • People Leadership
  • Python for Data Analysis

Language

English (Required)

Language Proficiency

Proficient - C2

Job Type

Regular

Master Skill List

Data Engineering

Remote Type

Hybrid

Work Shift

Day 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

Equal Opportunity Employer

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.

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Stelleninformationen

  • Veröffentlichungsdatum:

    31 Jul 2026
  • Standort:

    Remote
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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