Job Description

###

Role Overview

We are seeking a

Data Management Analyst

with a strong blend of

Business Analysis and Quality Assurance

experience to support data management initiatives within the financial domain. The ideal candidate will have hands-on exposure to

data warehouses

, data quality, and reconciliation processes, and will work closely with business and technical stakeholders to ensure data accuracy, consistency, and reliability.

###

Key Responsibilities

Act as a bridge between

business users and technical teams

to understand data requirements and translate them into functional specifications. Perform

data validation, reconciliation, and quality checks

, including implementation, monitoring, and issue resolution. Analyze data from

data warehouses and source systems

to identify gaps, inconsistencies, and improvement opportunities. Design and execute

data quality test cases

, support UAT, and ensure adherence to business rules. Manage

SLA-driven support activities

, including handling queries and issues raised by end users. Prepare and maintain

functional and technical documentation

such as BRDs, FRDs, data mapping documents, and SOPs. Collaborate with stakeholders to support

data governance, controls, and continuous improvement initiatives

. Participate in project discussions, requirement walkthroughs, defect triage, and data review sessions.
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? Required Qualifications & Experience

Bachelor's degree in

Computer Science, Information Technology, or related field

.

3-7 years of experience

in

Data Management

, preferably within the

financial services industry

. Strong experience in

Data Warehouse environments

(data validation, reporting layers, reconciliation). Proven background in

Business Analysis and/or Data Quality/QA roles

. Hands-on experience with

data analysis and reconciliation

activities. Working knowledge of

SQL and Python

for data analysis and validation (not heavy development). Experience handling

end-user queries and SLA-based support

. Strong experience in

documentation

(functional specs, data definitions, test scenarios, reports). Excellent

problem-solving, communication, and stakeholder management

skills. High attention to

detail, data accuracy, and quality

. Ability to

manage multiple priorities

in a fast-paced environment.
###

Nice to Have

Experience with

banking/financial data platforms

. Exposure to

data governance, metadata management, or regulatory reporting

. * Prior involvement in

UAT or data migration/warehouse projects

.