Job Description
Summary
KPMG Global Services (KGS) is seeking an Assistant Manager – Data Management & Analytics in Gurgaon, Haryana. This role is ideal for professionals with 6–8 years of experience in data engineering, big data analytics, and machine learning. The candidate will lead strategic data initiatives, design and implement ETL/ELT pipelines, build predictive ML models, and deliver actionable insights to drive business decisions. Strong expertise in cloud platforms (AWS/Azure/GCP), SQL, Python, PySpark, and BI tools is essential. The position offers a high-impact opportunity to manage cross-functional projects, improve data governance, and lead analytics teams in a fast-paced environment.
Job Details at a Glance
| Attribute | Details |
|---|---|
| Job Title | Assistant Manager – Data Management & Analytics |
| Company | KPMG Global Services Pvt. Ltd. |
| Location | Gurgaon, Haryana, India |
| Experience | 6–8 years in data engineering/analytics |
| Education | Bachelor’s or Master’s in Data Science, Statistics, Mathematics, Computer Science, or related field |
| Role Type | Full-time |
| Shift / Timings | Standard IST hours |
| Tools & Technologies | Databricks, AWS, Azure, GCP, SQL, Python, PySpark, DAX, Tableau, Power BI, scikit-learn, TensorFlow, PyTorch |
Key Responsibilities
Data Management & Analysis
- Act as a strategic data advisor, shaping innovative data solutions from concept to execution.
- Design, train, and optimize machine learning models using appropriate algorithms.
- Build and maintain automated ETL/ELT pipelines for efficient data processing.
- Design scalable data models for structured and unstructured data on big data platforms.
- Oversee data acquisition, cleaning, integration, ensuring quality and governance.
- Perform complex data analyses and generate actionable business insights.
- Create dashboards and reports for stakeholders using Tableau, Power BI, or similar tools.
Project Management
- Lead data-driven projects, planning, executing, and monitoring deliverables.
- Coordinate with cross-functional teams to achieve project goals.
- Identify and address roadblocks, ensuring timely project completion.
Quality Assurance
- Develop and implement data quality control procedures.
- Conduct regular data audits and root-cause analysis for discrepancies.
- Collaborate with data engineers to maintain and enhance data infrastructure.
Stakeholder Engagement
- Build strong relationships with internal stakeholders to understand data requirements.
- Communicate complex data concepts to non-technical audiences clearly.
- Facilitate data-sharing and collaboration across departments.
Continuous Improvement
- Stay updated on industry trends and best practices in analytics and data management.
- Propose process improvements to enhance team efficiency.
- Participate in knowledge-sharing sessions to foster a learning culture.
Skills & Expertise
- Hands-on experience with big data platforms (Databricks, AWS, Azure, GCP).
- Proficiency in SQL, Python, PySpark, DAX for data manipulation and analysis.
- Experience with ML libraries: scikit-learn, XGBoost, TensorFlow, PyTorch.
- Skilled in creating dashboards/reports using Tableau, Power BI, or similar tools.
- Strong understanding of software development lifecycle (SDLC) and Agile methodologies.
- Ability to manage large, complex datasets and derive actionable insights.
- Excellent leadership, communication, and interpersonal skills.
Qualifications
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
- 6–8 years of experience in data engineering, analytics, or related roles.
- Proven experience in leading teams, managing multiple projects, and delivering under tight deadlines.
Apply Now
Take the next step in your career as Assistant Manager – Data Management & Analytics at KPMG Global Services, Gurgaon.