Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are seeking a highly skilled Data Analyst / Consultant with expertise in entity resolution and data matching to support a critical data mapping initiative. The primary objective of this role is to accurately map internal entity IDs to external identifier sets, ensuring high-quality 1:1 relationships across datasets.

This is an immediate requirement with potential for extension into larger-scale data initiatives.

Key Responsibilities

Map internal entity identifiers to external identifier systems (e.g., ISINs and other financial entity data)
Perform entity matching using incomplete or partially structured data (e.g., entity names)
Apply NLP and fuzzy matching techniques to improve match accuracy
Ensure clean, reliable 1:1 mappings across datasets
Work on an initial dataset (2,000-3,000 records) with scalability in mind
Clean, transform, and standardize unstructured or imperfect datasets
Collaborate with stakeholders to validate matching logic and outcomes
Document methodologies and matching rules for future scaling

Required Skills & Experience

Possess at least 2-5 years of relevant experience in entity resolution / record linkage / data matching
Hands-on expertise in fuzzy matching techniques and NLP approaches
Strong experience working with imperfect or unstructured datasets
Proficiency in Databricks or similar big data platforms (e.g., Spark)
Solid data wrangling and data engineering skills
Strong analytical and problem-solving abilities

Preferred Qualifications

Experience working in financial services or with financial datasets
Exposure to large-scale data mapping or master data management (MDM)
Programming skills in Python (libraries such as pandas, fuzzywuzzy, spaCy, etc.)

Data Analyst / Consultant (Databricks, Data Matching, Entity Resolution)