Intern

Data Mapping Executive (Internship)

Duration: (6 Months)

Stipend (18 k per month)

Company:

Website:

Location:

About Binary Semantics Ltd.

Data Mapping Intern

Key Responsibilities:

• Perform accurate

  data mapping and validation

  for vehicle-related datasets.
• Work extensively on

  Microsoft Excel

  for data comparison, cleaning, and mapping using functions such as

  VLOOKUP

  ,

  HLOOKUP

  ,

  IF

  , and

  Pivot Tables

  .
• Identify and match

  vehicle makes and models

  across different datasets for all segments — primarily

  two-wheelers, four-wheelers, and commercial vehicles

  .
• Maintain and update a repository of

  vehicle specifications

  , including

  engine cubic capacity (CC)

  ,

  fuel type (Petrol/Diesel/EV)

  , and

  seating capacity

  .
• Coordinate with internal teams to ensure accuracy and completeness of mapped data.
• Assist in data quality checks and ensure adherence to project timelines.
• Support motor insurance data mapping initiatives and related projects.

Required Skills & Qualifications:

• Graduate in any discipline (preferably in Commerce, Science, or Engineering).

• Proficiency in MS Excel

  and understanding of key functions (especially VLOOKUP, Pivot Tables, and data cleaning tools).
• Strong

  knowledge of Indian vehicle makes and models

  across all major segments.
• Basic understanding of

  vehicle specifications

  and terminology.
• Exposure to or understanding of

  Motor Insurance

  processes is desirable.
• Good analytical, attention-to-detail, and problem-solving skills.
• Experience working with

  motor dealerships

  or insurance handling will be an added advantage.

Desirable Background:

• Candidates currently working in or with prior experience in

  automotive dealerships

  ,

  insurance renewal desks

  , or

  motor data handling

  are preferred.

What We Offer:

• Opportunity to work in the

  automotive data domain

  with a reputed IT company.
• Exposure to

  data analytics and digital insurance ecosystems

  .
• Competitive salary and growth opportunities.