167 Data Reporting jobs in Singapore

Job Location: HarbourFront

Key Responsibilities:

• Perform data extractions from client systems or databases to support reporting and operational activities.
• Conduct data validation and verification to ensure accuracy, consistency, and completeness of information.
• Prepare and maintain Excel-based reports and summaries for internal teams and external clients.
• Support data-driven operations by identifying inconsistencies or issues in data sets and coordinating with relevant teams for resolution.
• Maintain proper documentation of processes, reports, and updates using Confluence.
• Track and manage assigned tasks, requests, or issues through JIRA.
• Collaborate closely with business and project teams to ensure smooth delivery of data and reports.
• Contribute to continuous improvement of reporting processes and documentation standards.

Requirements:

• Bachelor's degree in Accountancy, Business Administration, or a related field.
• 2–3 years of experience in data handling, reporting, or operations support, preferably in a professional services or audit environment.
• Strong proficiency in Microsoft Excel (advanced formulas, pivot tables, lookups, and data formatting).
• Basic understanding of JIRA and Confluence for documentation and workflow management.
• Strong attention to detail, with the ability to handle large data volumes accurately.
• Excellent communication, coordination, and interpersonal skills.
• Self-motivated, adaptable, and capable of managing multiple priorities independently.

Job Location: HarbourFront

Key Responsibilities:

• Perform data extractions from client systems or databases to support reporting and operational activities.
• Conduct data validation and verification to ensure accuracy, consistency, and completeness of information.
• Prepare and maintain Excel-based reports and summaries for internal teams and external clients.
• Support data-driven operations by identifying inconsistencies or issues in data sets and coordinating with relevant teams for resolution.
• Maintain proper documentation of processes, reports, and updates using Confluence.
• Track and manage assigned tasks, requests, or issues through JIRA.
• Collaborate closely with business and project teams to ensure smooth delivery of data and reports.
• Contribute to continuous improvement of reporting processes and documentation standards.

Requirements:

• Bachelor’s degree in Accountancy, Business Administration, or a related field.
• 2–3 years of experience in data handling, reporting, or operations support, preferably in a professional services or audit environment.
• Strong proficiency in Microsoft Excel (advanced formulas, pivot tables, lookups, and data formatting).
• Basic understanding of JIRA and Confluence for documentation and workflow management.
• Strong attention to detail, with the ability to handle large data volumes accurately.
• Excellent communication, coordination, and interpersonal skills.
• Self-motivated, adaptable, and capable of managing multiple priorities independently.

We're looking for an organized and detail-oriented Assistant Manager (CCM Data Analyst) to join the Manpower Planning & Strategy Division If you have a knack for data management, cleaning, and analysis, and are comfortable engaging with internal and external stakeholders, this is a fantastic opportunity to contribute to significant policy-informing work within the public sector.

• Contract Duration: 12 Months
• Salary: Up to $18.50 per hour
• Division: Manpower Planning & Strategy Division
• Work Hours:
  
  Mondays to Thursdays: 8.30am to 6pm
  
  Fridays: 8.30am to 5.30pm
• Start Date: Expected October 2025
• Work Arrangement: Hybrid

• Data Management & Cleaning: Oversee the collection, cleaning, and management of large datasets from the ILTC-IS database for 2024 and 2025.
• Data Analysis & Reporting: Prepare annual local-foreign and attrition analyses, and assist with ad-hoc data requests and deep-dive analysis relied upon for policy formulation.
• Process Improvement: Review and provide input on ILTC-IS module and SOPs to improve data collection efficiency, and collaborate with IT to develop a new manpower data module on the SuSy platform.
• Stakeholder Engagement: Coordinate with CCOs via numerous emails and calls to guide them in submitting data returns, and manually collect data from care settings not on the online platform (e.g., AACs).
• Administrative Support: Provide essential administrative support, including arranging and staffing meetings with various internal and external stakeholders.

• Experience: Preferred candidate with prior working experience in a similar role.
• Data Skills: Strong proficiency in Microsoft Excel is a must. Comfortable with tedious data-cleaning, reconciliation of erroneous data, and data churning.
• Analytical Tools: Good to have additional experience with other analytical tools.
• Soft Skills:
  
  Strong stakeholder management skills (both internal and external).
  
  Excellent written and verbal communication skills.
  
  Highly organised with strong logical thinking ability.
  
  Comfortable with high volumes of phone calls and emails.
• Commitment: Able to commit to a 12-month contract.

How to Apply:

Apply via MyCareersFuture. Only shortlisted applicants will be contacted.

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Internal Ref: ID – JO 26281

BGC Group Pte Ltd (Outsourcing)

EA 05C3053

Data Analyst – Corporate Banking

Role Overview:

We are seeking a highly analytical and detail-oriented Data Analyst to be part of us. The role will focus

on analysing large datasets, generating actionable insights, and supporting strategic decision-making.

The ideal candidate will have strong data management skills, financial domain knowledge (Preferably

Regulatory Reporting, Risk and Compliance in a corporate banking products), and the ability to

communicate findings in a clear, business-oriented manner.

Key Responsibilities

• Collect, clean, and validate data from multiple banking systems (e.g., loan management,

treasury, trade finance, payments).

• Perform quantitative and qualitative analysis on corporate banking portfolios, including

lending, deposits, trade finance, and treasury products.

• Work with stakeholders to identify business needs and translate them into data-driven

solutions.

• Conduct trend, variance, and scenario analysis to support pricing, profitability, and client

segmentation.

• Ensure compliance with data governance, quality, and regulatory reporting standards.

• Partner with technology teams to improve data pipelines, automate reporting, and

implement advanced analytics use cases.

Required Skills & Qualifications

• Bachelor's degree in data science, Statistics, Economics, Finance, Computer Science, or a

related field.

• Minimum 8 years of experience as a Data Analyst, ideally within banking or financial

services.

• Familiarity with statistical analysis tools(Python, R) preferred.

• Good understanding of corporate banking products (loans, deposits, trade finance,

treasury, payments).

• Knowledge of risk, compliance, and regulatory reporting frameworks in banking.

• Strong analytical, problem-solving, and critical-thinking skills.

• Excellent communication skills to translate technical data into business insights.

Preferred Attributes

• Experience in data warehousing, ETL, or big data platforms (Ex: Snowflake, Hadoop,

Spark).

• Exposure to machine learning techniques for credit/risk scoring or client segmentation.

• Strong business acumen with an ability to connect data insights to revenue, cost, and risk

drivers.

• Ability to work in cross-functional teams within a fast-paced banking environment

Overview
Data Analyst – Corporate Banking
Role Overview
We are seeking a highly analytical and detail-oriented Data Analyst to be part of us. The role will focus on analysing large datasets, generating actionable insights, and supporting strategic decision-making. The ideal candidate will have strong data management skills, financial domain knowledge (Preferably Regulatory Reporting, Risk and Compliance in a corporate banking products), and the ability to communicate findings in a clear, business-oriented manner.
Responsibilities
Collect, clean, and validate data from multiple banking systems (e.g., loan management, treasury, trade finance, payments).
Perform quantitative and qualitative analysis on corporate banking portfolios, including lending, deposits, trade finance, and treasury products.
Work with stakeholders to identify business needs and translate them into data-driven solutions.
Conduct trend, variance, and scenario analysis to support pricing, profitability, and client segmentation.
Ensure compliance with data governance, quality, and regulatory reporting standards.
Partner with technology teams to improve data pipelines, automate reporting, and implement advanced analytics use cases.
Required Skills & Qualifications
Bachelor’s degree in data science, Statistics, Economics, Finance, Computer Science, or a related field.
Minimum 8 years of experience as a Data Analyst, ideally within banking or financial services.
Familiarity with statistical analysis tools (Python, R) preferred.
Good understanding of corporate banking products (loans, deposits, trade finance, treasury, payments).
Knowledge of risk, compliance, and regulatory reporting frameworks in banking.
Strong analytical, problem-solving, and critical-thinking skills.
Excellent communication skills to translate technical data into business insights.
Preferred Attributes
Experience in data warehousing, ETL, or big data platforms (Ex: Snowflake, Hadoop, Spark).
Exposure to machine learning techniques for credit/risk scoring or client segmentation.
Strong business acumen with an ability to connect data insights to revenue, cost, and risk drivers.
Ability to work in cross-functional teams within a fast-paced banking environment
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Overview
We are seeking an experienced professional to drive data governance initiatives and ensure accurate, timely regulatory reporting within the banking and financial services sector. The role is techno-functional, requiring strong knowledge of data management frameworks, regulatory reporting standards, and hands-on experience with data analysis and automation tools.
Data Governance
Establish and maintain data governance frameworks, policies, and data quality standards.
Define data ownership, stewardship, and lineage across business and technology domains.
Implement and monitor data quality metrics to ensure accuracy and consistency of key data elements.
Collaborate with business and IT teams to ensure compliance with data policies and regulatory data requirements.
Support data classification, metadata management, and audit processes.
Regulatory Reporting
Oversee end-to-end process of regulatory reporting to ensure completeness, accuracy, and timeliness.
Interpret and apply local and international reporting standards (e.g., MAS 610/1003, Basel III/IV, IFRS, BCBS 239).
Liaise with Finance, Risk, and Compliance teams to reconcile and validate data used in regulatory submissions.
Maintain data lineage documentation to trace source-to-report mapping for audit and compliance.
Support automation and optimization of reporting workflows using tools such as Power BI, SQL, or Python.
Requirements
Bachelor’s degree in Information Technology, Finance, Accounting, or related field.
5+ years of experience in Data Governance, Data Management, or Regulatory Reporting within banking or financial institutions.
Strong understanding of data governance frameworks and regulatory standards.
Proficiency in data analysis and reporting tools (e.g., SQL, Power BI, AxiomSL, or equivalent).
Experience with metadata management, data lineage, and data quality monitoring.
Knowledge of ServiceNow or other workflow management tools is an advantage.
Excellent analytical, communication, and stakeholder management skills.
Please send your detailed resume in MS Word format to

with
Education Level
Working experiences
Each employment background
Reason for leaving each employment
Last drawn salary
Expected salary
Date of availability
#J-18808-Ljbffr

We are seeking an experienced professional to drive data governance initiatives and ensure accurate, timely regulatory reporting within the banking and financial services sector. The role is techno-functional, requiring strong knowledge of data management frameworks, regulatory reporting standards, and hands-on experience with data analysis and automation tools.

Data Governance:

• Establish and maintain data governance frameworks, policies, and data quality standards.
• Define data ownership, stewardship, and lineage across business and technology domains.
• Implement and monitor data quality metrics to ensure accuracy and consistency of key data elements.
• Collaborate with business and IT teams to ensure compliance with data policies and regulatory data requirements.
• Support data classification, metadata management, and audit processes.

Regulatory Reporting:

• Oversee end-to-end process of regulatory reporting to ensure completeness, accuracy, and timeliness.
• Interpret and apply local and international reporting standards (e.g., MAS 610/1003, Basel III/IV, IFRS, BCBS 239).
• Liaise with Finance, Risk, and Compliance teams to reconcile and validate data used in regulatory submissions.
• Maintain data lineage documentation to trace source-to-report mapping for audit and compliance.
• Support automation and optimization of reporting workflows using tools such as Power BI, SQL, or Python.

Requirements:

• Bachelor’s degree in Information Technology, Finance, Accounting, or related field.
• 5+ years of experience in Data Governance, Data Management, or Regulatory Reporting within banking or financial institutions.
• Strong understanding of data governance frameworks and regulatory standards.
• Proficiency in data analysis and reporting tools (e.g., SQL, Power BI, AxiomSL, or equivalent).
• Experience with metadata management, data lineage, and data quality monitoring.
• Knowledge of ServiceNow or other workflow management tools is an advantage.
• Excellent analytical, communication, and stakeholder management skills.

Please send your detailed resume in MS Word format to with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability

Job Title: Data Analyst – Corporate Banking

Role Overview

We are seeking a highly analytical and detail-oriented Data Analyst to be part of us. The role will focus on analysing large datasets, generating actionable insights, and supporting strategic decision-making. The ideal candidate will have strong data management skills, financial domain knowledge (Preferably Regulatory Reporting, Risk and Compliance in a corporate banking products), and the ability to communicate findings in a clear, business-oriented manner.

Key Responsibilities

Collect, clean, and validate data from multiple banking systems (e.g., loan management, treasury, trade finance, payments).

Perform quantitative and qualitative analysis on corporate banking portfolios, including lending, deposits, trade finance, and treasury products.

Work with stakeholders to identify business needs and translate them into data-driven solutions.

Conduct trend, variance, and scenario analysis to support pricing, profitability, and client segmentation.

Ensure compliance with data governance, quality, and regulatory reporting standards.

Partner with technology teams to improve data pipelines, automate reporting, and implement advanced analytics use cases.

Required Skills & Qualifications

Bachelor's degree in data science, Statistics, Economics, Finance, Computer Science, or a related field.

Minimum 2–5 years of experience as a Data Analyst, ideally within banking or financial services.

Familiarity with statistical analysis tools (Python, R) preferred.

Good understanding of corporate banking products (loans, deposits, trade finance, treasury, payments).

Knowledge of risk, compliance, and regulatory reporting frameworks in banking.

Strong analytical, problem-solving, and critical-thinking skills.

Excellent communication skills to translate technical data into business insights.

Preferred Attributes

Experience in data warehousing, ETL, or big data platforms (Ex: Snowflake, Hadoop, Spark).

Exposure to machine learning techniques for credit/risk scoring or client segmentation.

Strong business acumen with an ability to connect data insights to revenue, cost, and risk drivers.

Ability to work in cross-functional teams within a fast-paced banking environment.

Job Type: Contract

Contract length: 12 months

Pay: $4, $6,000.00 per month

Work Location: In person

We’re Hiring: Data Analyst (Regulatory Reporting - MAS) - Corporate Banking!
We are looking for a detail-oriented and analytical Data Analyst to join our Corporate Banking team, specializing in regulatory reporting with the Monetary Authority of Singapore (MAS). The ideal candidate will possess strong data analysis skills and a solid understanding of banking regulations to support compliance and reporting initiatives.
Location:
Singapore, Singapore
Work Mode:
Work From Office
Role:
Data Analyst - Regulatory Reporting (MAS) Corporate Banking
What You’ll Do:
Collect, clean, and validate data from multiple banking systems (e.g., loan management, treasury, trade finance, payments).
Perform quantitative and qualitative analysis on corporate banking portfolios, including lending, deposits, trade finance, and treasury products.
Work with stakeholders to identify business needs and translate them into data-driven solutions.
Conduct trend, variance, and scenario analysis to support pricing, profitability, and client segmentation.
Ensure compliance with data governance, quality, and regulatory reporting standards.
Partner with technology teams to improve data pipelines, automate reporting, and implement advanced analytics use cases.
Required Skills & Qualifications:
Bachelor’s degree in data science, Statistics, Economics, Finance, Computer Science, or a related field.
Minimum 2–5 years of experience as a Data Analyst, ideally within banking or financial services.
Familiarity with statistical analysis tools (Python, R) preferred.
Good understanding of corporate banking products (loans, deposits, trade finance, treasury, payments).
Knowledge of risk, compliance, and regulatory reporting frameworks in banking.
Strong analytical, problem-solving, and critical-thinking skills.
Excellent communication skills to translate technical data into business insights.
Preferred Attributes:
Experience in data warehousing, ETL, or big data platforms (Ex: Snowflake, Hadoop, Spark).
Exposure to machine learning techniques for credit/risk scoring or client segmentation.
Strong business acumen with an ability to connect data insights to revenue, cost, and risk drivers.
Ability to work in cross-functional teams within a fast-paced banking environment.
#J-18808-Ljbffr