Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 4 days ago

Principal Data Business Analyst

MyCareersFuture94,028 open roles

Pay
SGD 15,000 – SGD 19,000 a Monthly
Where
Singapore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPrincipal Data Business AnalystMyCareersFuture · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 4 days ago

The posting

Principal Data Business Analyst – Corporate Banking & Data Warehousing

Position Overview

We are seeking an executive-level Principal Data Business Analyst to drive the modernization, architecture, and functional alignment of our Corporate Banking Enterprise Data Platform. In this high-impact role, you will bridge the gap between complex corporate banking business lines (Cash Management, Trade Finance, Lending, Treasury) and modern lakehouse data architectures.

With over 15 years of deep expertise in banking data warehousing (EDW), data modeling, and business intelligence, you will act as the technical and domain authority in migrating and optimizing end-to-end data pipelines onto Databricks.

Key Responsibilities

1. Corporate Banking Business & Functional Analysis

  • Partner with senior business stakeholders across Corporate & Investment Banking (CIB) to elicit, analyze, and formalize complex data requirements for regulatory reporting, risk management, credit risk, and commercial analytics.
  • Translate business logic, complex financial calculations, and domain workflows into clear functional requirement documents (FRDs), source-to-target mappings (STTM), and data dictionary definitions.
  • Define and govern KPIs, data lineage, and business definitions for core corporate banking products (e.g., Syndicated Loans, Letters of Credit, Wire Transfers, Nostro/Vostro accounting).

2. Databricks & Lakehouse Integration

  • Lead the functional design and data transformation logic for modernizing legacy banking data warehouses (Oracle, Teradata, DB2) onto modern Databricks Lakehouse (Spark, Delta Lake, Unity Catalog).
  • Design and validate PySpark/SQL-based data transformations, aggregation logic, and feature engineering specifications within Databricks environments.
  • Leverage Databricks Unity Catalog to assist in defining automated data governance, fine-grained access control policies, and auditability mechanisms tailored to banking compliance standards.

3. Data Warehousing & Architecture Strategy

  • Oversee dimensional and relational data modeling initiatives (Kimball/Inmon methodologies, Third Normal Form, Star/Snowflake schemas) optimized for high-volume corporate transaction datasets.
  • Collaborate closely with Enterprise Data Architects and ETL/Data Engineers to design scalable, near-real-time data pipelines and batch processing schedules.
  • Drive end-to-end Data Quality Management (DQM), root-cause anomaly analysis, reconciliation frameworks, and User Acceptance Testing (UAT) strategies.

4. Leadership & Stakeholder Management

  • Act as the lead bridge between executive business leaders, regulatory compliance officers, and core technical engineering squads.
  • Mentor senior/junior business analysts and data engineers on domain concepts, data warehouse standards, and modern data stack paradigms.

Required Qualifications & Experience

  • Experience: 15+ years of progressive experience as a Data Business Analyst, Data Architect, or Systems Analyst within global corporate banking or enterprise financial services environments.
  • Data Warehousing Expertise: Deep background in enterprise data warehousing (EDW) lifecycle—from legacy relational architectures (Teradata, Oracle, Netezza) to modern cloud data platforms.
  • Databricks Technical Skillset: Hands-on technical experience with Databricks (Delta Lake, PySpark, Spark SQL, Unity Catalog, Databricks Workflows). Ability to write and optimize SQL queries, audit PySpark scripts, and design lakehouse pipelines.
  • Domain Mastery: In-depth domain knowledge of Corporate Banking domains, including: Commercial Lending & Credit Risk (PD, LGD, EAD modeling data requirements) Trade Finance & Supply Chain Finance Global Cash Management, Payments (SWIFT ISO 20022), and Treasury Services Basel III/IV, BCBS 239, AML, and Liquidity Risk Reporting (LCR/NSFR)
  • Data Modeling: Proven expertise in conceptual, logical, and physical data modeling, source-to-target mapping, and data flow modeling.
  • Agile & Delivery: Extensive experience leading Agile/Scrum delivery teams using Jira, Confluence, and enterprise business analysis frameworks.

Core Competencies & Skill Matrix

Skill Domain

Required Technical / Functional Proficiency

Level

Corporate Banking

Cash Management, Trade Finance, Commercial Loans, SWIFT, Regulatory Reporting

Subject Matter Expert

Data Warehousing

Dimensional Modeling, Star/Snowflake Schemas, EDW Migration, ETL/ELT Patterns

Master

Big Data Platform

Databricks

(Delta Lake, Unity Catalog, Spark SQL, Workspace, MLflow basics)

Advanced / Technical

Data Querying & Code

Advanced SQL (Windowing, CTEs, Performance Tuning), Python / PySpark

Advanced

Data Governance

Data Lineage, Metadata Management, Collibra / Alation, Data Auditing

Proficient

SDLC Methodology

Agile (Scrum/Kanban), Jira, Source-to-Target Mapping (STTM), UAT Strategy

Lead

Desirable / Good to Have

  • Databricks Certified Data Engineer Associate / Professional or Databricks Accredited Lakehouse Fundamentals.
  • Experience with cloud platforms (AWS, Azure, or GCP) hosting banking data infrastructures.
  • Familiarity with data streaming tools (Kafka, Spark Streaming) for real-time corporate payments and fraud detection workflows.
  • Togaf or CBAP (Certified Business Analysis Professional) certifications.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against MyCareersFuture's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on MyCareersFuture's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    MyCareersFuture's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.