Role Summary
We are looking for a
hands-on Data Analyst Lead
to drive
ETL and data migration projects
end-to-end.
This role is
execution-focused
, responsible for:
Handling complex data migration tasks
Leading small teams of data analysts
Ensuring timely and accurate delivery
The candidate should be comfortable working in a
fast-paced, client-facing implementation environment
.
Key Responsibilities
1. ETL & Data Migration Execution (Core Responsibility)
Perform end-to-end
data migration (Extract, Transform, Load)
Work on:
Data extraction from source systems
Data transformation and mapping
Data loading into target systems
Handle
large datasets with accuracy and performance in mind
2. Data Mapping & Transformation
Create and manage:
Data mapping documents
Transformation logic
Perform:
Data cleansing
Deduplication
Data normalization
3. Data Validation & Reconciliation
Validate migrated data against source systems
Prepare
reconciliation reports
Identify and fix:
Data mismatches
Missing or inconsistent data
4. Team Handling (Light Leadership)
Guide and support
junior data analysts
Review their work (mapping, validation, outputs)
Ensure quality and consistency in delivery
5. Client Interaction
Work directly with clients to:
Understand data requirements
Clarify mapping and transformation rules
Participate in:
Data workshops
Requirement discussions
6. Delivery Ownership
Manage timelines for assigned projects
Handle multiple migration tasks simultaneously
Take ownership of delivery under tight deadlines
Required Skills & Qualifications
Must Have
Strong experience in
ETL and data migration projects
Advanced
SQL skills
Strong
Excel skills
(data comparison, VLOOKUP, Pivot tables, etc.)
Experience handling
large datasets
Experience in
data validation and reconciliation
Good to Have
Experience with
Python (for automation)
Exposure to
ETL tools
(Informatica, Talend, etc.)
Experience in
SaaS product migrations
(CRM, PSA, ERP)
Basic understanding of
APIs / integrations
Behavioural Competencies
Strong execution mindset
Ability to work under pressure
Attention to detail and data accuracy
Ownership-driven approach
Good communication with clients and internal teams
