Associate Analyst - MDM

Eaton; Maharashtra; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Eaton is seeking a Data Analyst in India to focus on customer data cleaning and enrichment for its Mobility business. The role involves ensuring data quality across master datasets, cleaning addresses, assigning hierarchies, and supporting sales/marketing with data-driven insights.

You will pull data from multiple sources, identify gaps, and collaborate with data owners to deliver accurate and complete customer records for downstream systems.

Qualifications

• Graduation in Computer Science or Engineering in any stream.
• Experience of 2 to 4 years in customer data analysis OR customer data cleaning is a must.

Responsibilities

• Work directly with the sales and marketing teams in Mobility to improve the customer master data in Customer data hub (TPH), ERP & CRM.
• Pull the customer data from various data sources.
• Clean and improve the customer data attributes like Name, address, Segmentation & Hierarchy.
• Support the sales and Marketing team to improve the customer data quality by identifying the data gaps and closing them with the help of the business data owners.
• Discover and interpret data gaps and anomalies in account master data.
• Create a structured and well-defined data overview by analyzing the customer data from multiple sources.
• Make clean, enriched, and high quality (Accurate, Complete, Unique, Consistent & Relevant) customer data available for consumption by various business systems and processes.
• Meet the SLA & TAT for the activities as agreed by the business.
• Perform assigned tasks by superiors and seniors in the organization with high standards of quality & dedication.
• Work as a team player and put teams/business’s best interest first.

Skills

Advanced Excel

SQL

Data quality

Attention to detail

English communication

Excel VBA

Data migration

Education

Graduation in Computer Science or Engineering

Tools

Excel

SQL

Job description

What You’ll Do

Eaton announced, on June 11, 2026, the intent to combine its Mobility Group (including both the Vehicle and eMobility segments) with a new company. We expect to complete this process by the end of the first half of 2027. The compensation and benefits that will initially be offered for this position are based on Eaton's plans, programs and practices. If you are offered and accept this position and be actively employed by the Mobility Group when the transaction closes, the new company will provide further details to employees concerning compensation and benefits at that time.

What You’ll Do

Eaton announced, on June 11, 2026, the intent to combine its Mobility Group (including both the Vehicle and eMobility segments) with a new company. We expect to complete this process by the end of the first half of 2027. The compensation and benefits that will initially be offered for this position are based on Eaton's plans, programs and practices. If you are offered and accept this position and are actively employed by the Mobility Group when the transaction closes, the new company will provide further details to employees concerning compensation and benefits at that time.

In this role you will be working on Customer data cleaning and enrichment for Mobility business. The Data Analyst will ensure that the customer data meets the required data quality by analyzing various attributes of the customer data. The candidate will be responsible for Address clean-up, Hierarchy assignment and management, selling relationship assignment and management.

• Work directly with the sales and marketing teams in Mobility to improve the customer master data in Customer data hub (TPH), ERP & CRM.
• Pull the customer data from various data sources.
• Clean and improve the customer data attributes like Name, address, Segmentation & Hierarchy.
• Support the sales and Marketing team to improve the customer data quality by identifying the data gaps and closing them with the help of the business data owners.
• Discover and interpret data gaps and anomalies in account master data.
• Create a structured and well-defined data overview by analyzing the customer data from multiple sources.
• Make clean, enriched, and high quality (Accurate, Complete, Unique, Consistent & Relevant) customer data available for consumption by various business systems and processes.
• Meet the SLA & TAT for the activities as agreed by the business.
• Perform assigned tasks by superiors and seniors in the organization with high standards of quality & dedication.
• Work as a team player and put teams/business’s best interest first.

Qualifications

• Graduation in Computer Science or Engineering in any stream.
• Experience of 2 to 4 years in customer data analysis OR customer data cleaning is a must.

Skills

• Candidate must be good in understanding the customer master data and find the anomalies in it.
• Candidate must have good experience in advance excel (Lookups, pivot table, formulae, keyboard short cuts etc..).
• Understanding of some degree of automation in excel using VBA will be added advantage.
• Should have knowledge on data migration between tools.
• Hands on SQL experience is good to have.
• Self-management skills, taking initiative and influencing decisions through others.
• Must be attentive to details, innovative and with strong prioritization skills.
• Good communication skills in English, both written and verbal.