Associate Consultant KDNI

KPMG · Bangalore

Source and collection record

Last observed by our collector: 8 October 2026 at 11:40 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 30049566

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected minimum qualification: GraduationAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 3 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

• Team player with strong inter-personal & communication skills • Demonstrates a strong work ethic, a responsive attitude, professional rigour and ability to adhere to budget • Maintains technical and non-technical skills in line with personal and professional institution accreditation requirements and KPMG business needs • Shows personal drive and positive attitude to deliver results within tight deadlines and in demanding conditions • Possesses effective written and verbal communication skills and the ability to work collaboratively within a team • Excellent analytical, and problem-solving skills related to power and energy sector • Work as part of a team to provide power systems planning, modelling, analysis, and advisory services to clients in the power generation, transmission, distribution, and industrial high-voltage sectors. • Engage in continuous learning to enhance understanding of market tools and methodologies • Assist in performing power systems and energy modelling analyses • Contribute to data collection, validation, and analysis for power system planning and operational studies Collaborate with cross-functional teams to ensure timely and accurate project deliverables and project outputs • Bachelor’s degree in Electrical Engineering ( Master’s degree preferred) • Sound understanding of Electrical Power systems • Knowledge of steady state and dynamic modelling, model development, and generator/network behaviour • Familiarity with any industry-standard power or energy software (academic or internship experience acceptable) • Basic programming skills in Python for data analysis and automation • Proficiency in MS Excel and technical reporting

Collected minimum qualification

Graduation