
Data Analyst
1 week ago
Location:
Makati - Hybrid (1x a week onsite)
Experience Level:
Multiple roles available – Senior (8+ years) & Mid-Level (3+ years)
Job Overview:
We are seeking experienced
Data Analysts
to support data mapping and integration efforts within the banking domain. This role will focus on end-to-end data sourcing, mapping, and transformation processes, particularly in the context of large-scale implementation projects. While
Capital and Liquidity Reporting
experience is a strong plus, a
banking background is mandatory
.
Successful candidates will bring strong
analytical and problem-solving skills
, the ability to work independently in complex environments, and excellent communication abilities to collaborate with stakeholders across business and technology teams.
Key Responsibilities:
- Lead and execute
data mapping and sourcing
activities across core banking processes. - Support data integration initiatives, working closely with Data Architects, Data Quality teams, and technical developers.
- Analyze and document current and future state data flows for reporting processes.
- Ensure the integrity and quality of data used in
regulatory reporting
, particularly Capital and Liquidity (nice to have). - Participate in the full project lifecycle across
at least two implementation projects
, from requirements gathering through execution and validation. - Work independently to identify data issues, propose solutions, and communicate impacts clearly to business stakeholders.
Qualifications:
- 3+ years of experience
in data analysis roles (for mid-level),
8+ years for senior roles
. - Proven experience in the banking or financial services industry
(mandatory). - Strong expertise in
data mapping, data lineage, and data integration
within complex environments. - Familiarity with
banking processes
, products, and systems (e.g., deposits, lending, treasury). - Strong
analytical and problem-solving
skills. - Excellent
communication skills
(both written and verbal) for cross-functional collaboration. - Ability to work
independently with minimal supervision
.
-
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