473 Data Analysis Tools jobs in Singapore

Contract Duration - 12 months

Working hours: Normal Office hours

Working Location - Changi Business Park

Responsibilities

• Performing Customer Data Management in SAP
• Drive process improvements and system efficiency enhancements
• Being an active part of,

o  Processing Customer Data within SAP - MDG following set standards and

procedures and within established Service Level Agreements (SLAs)

o  Troubleshooting, and resolving any discrepancies in Customer Master

information between source systems and the Hub

o  Actively engaging with Cross Functional Business, and IT teams to resolve

Customer Data Management issues

o  Generating Reports and Quality Metrics

Requirements

• Diploma/Degree in Business Administration/Statistics or any discipline
• Min 1 year of experience in managing cross-functional internal customers, with specific experience in utilizing various information management tools
• Have strong analytical skills with ability to learn new technical and non technical processes
• Working knowledge of PowerBI, Tableau, or RPA
• Research or Data Management experience is an advantage
• Added advantage would be if you had hands-on experiences using SAP

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOL job application platform -

PERSOL Singapore Pte Ltd 
• RCB No E 
• EA License No. 01C4394
• Registration No. R MayThinKyu)

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As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment. We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers. Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society. For more information on Singapore University of Social Sciences, please visit

The Manager, Data Management, is responsible for ensuring the quality, integrity, and consistency of metadata across the university's data warehouse and other operational systems. This role involves collaborating with various stakeholders to establish and implement metadata standards, support data governance initiatives and provide training to end-users. Additionally, the Manager will assist in managing data protection and ensuring compliance with the Personal Data Protection Act (PDPA). The Manager will also serve as a primary point of contact for external data inquiries and requests as well as, coordinating with government agencies.

Key Responsibilities

• Metadata Management: Maintain and update metadata across all data systems to ensure consistency, integrity, and quality.
• Standard Implementation: Work with departments to define and enforce metadata standards and best practices.
• Data Governance Support: Contribute to data governance initiatives, supporting the development and enforcement of policies and procedures.
• Data Protection and PDPA Compliance: Assist in managing data protection practices to comply with PDPA regulations, ensuring sensitive data is handled securely and responsibly.
• Stakeholder Collaboration: Serve as the primary contact for external data requests and inquiries, managing relationships with regulatory entities.
• Training and Support: Provide guidance and training to end-users on data management practices, promoting adherence to governance standards.
• Data Quality Assurance: Oversee data quality monitoring processes, identifying and resolving data integrity issues across the university's data systems.

• Bachelor's degree in Information Management, Data Science, Business, or a related field.
• Minimum 2 years of experience in data management, metadata management, or related fields.
• Strong understanding of data governance, metadata standards, and quality assurance principles.
• Proficiency in data governance tools, metadata management solutions, and data quality software.
• Excellent communication skills for stakeholder management and cross-functional collaboration.

At SUSS, we advocate the Spirit of Learning and pride ourselves as lifelong learners. You will gain access to various learning platforms and plenty of development opportunities to support your growth in a meaningful career

Besides that, you will also get:

• Competitive Pay Package
• Hybrid Work Arrangement (Subject to Job Role)
• Medical Benefits
• Flex Benefits
• Family Care Leaves
• Volunteer Service Leaves
• Wellness & Recreation Activities
• Lifelong Learning Opportunities
• Career Development Opportunities through Internal Job Postings and Transfers

• Support Wave 2 (APAC) project from a data conversion perspective.
• Responsible for helping the regions extract and transform their legacy data into Workday EIBs- as well as reviewing data for general conformity and alignment to Workday configuration.
• Play a role in data validation as well

Data Management

• Develop and improve data reports
• Maintain accurate alumni engagement data (including by not limited event participation, CET, volunteerism) by working with other departments.
• Fulfil ad hoc data requests within specified deadlines, and update alumni LinkedIn profiles and notable alumni lists,
• Work with the team lead and senior executive on recruitment, training, and supervision of student helpers for Blackbaud CRM data updates.

Data & IT Project Management

• Collaborate with units to improve alumni-related IT services.
• Co-lead and coordinate data/IT projects, and manage technical aspects of the alumni portal. Work with internal and external stakeholders.

Operations & Coordination

• Guide and partner with the senior executive in ensuring CRM data accuracy and managing CRM access requests.
• Support data audits and ensure compliance with data privacy policies.
• Maintain and update standard operating procedures (SOPs)

Requirements:

• Bachelor's Degree in Information Systems/Technology, Data Analytics or other related fields.
• Advanced-level knowledge of Microsoft applications e.g. Excel, Word, PowerPoint.
• Knowledge and skills in data visualizations
• Familiarity with the Personal Data Protection Act (PDPA), data privacy and governance policies.
• Minimum 4-5 years' experience in data and database management, or customer or membership-type platforms/app or IT related-projects
• Experience in managing others e.g. junior staff will be advantageous.

Interested candidates, please email your resume to

Anna See Sing Yee

CEI Reg R

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

Job Overview

We are seeking a skilled professional to join our team on a contract basis. The ideal candidate will have experience in calibration and maintenance data management.

Responsibilities

• Ensure accuracy and integrity of calibration and maintenance data within our system.
• Review calibration work orders, ensuring all relevant information is accurately documented and up-to-date.
• Perform quality assurance checks on calibration records, ensuring completeness and accuracy across all entries.
• Collaborate with cross-functional teams to resolve discrepancies in calibration or maintenance data promptly.
• Assist in maintaining comprehensive and organized documentation for calibration and maintenance activities, ensuring compliance with internal auditing procedures.

Requirements

• Minimum 1-2 years of experience in a similar role (e.g., calibration, maintenance, quality control, or data entry).
• Excellent attention to detail and ability to manage large volumes of data with precision.
• Proficiency in data management systems and advanced Microsoft Excel (pivot tables, VLOOKUP, etc.) and Word.
• Ability to learn new systems or processes quickly and efficiently.
• Basic knowledge of calibration procedures, maintenance processes, or industry standards
• Prior experience in calibration or maintenance-related functions

What We Offer

• A competitive compensation package
• Ongoing training and development opportunities
• A collaborative and dynamic work environment

How to Apply

If you meet the requirements and are interested in this opportunity, please submit your application.

Data Management Specialist

We are seeking an experienced data management professional to join our team. As a key member, you will be responsible for designing, implementing, and maintaining large-scale databases to support our organization's critical operations.

• Key Responsibilities:
• Design, implement, and maintain large-scale databases using SQL Server and Oracle 19c. ,
• Configure Always On Availability Groups, Log Shipping, Replication, and other High Availability/Disaster Recovery solutions. ,
• Conduct performance tuning, query optimization, and implement indexing strategies to ensure optimal database performance. ,
• Automate administrative tasks using T-SQL and PowerShell. ,
• Migrate databases to cloud-based platforms such as AWS RDS and EC2 using best practices. ,
• Implement and manage security, including access control, encryption, and auditing.

Required Skills and Qualifications:

• Expertise in SQL Server and Oracle 19c. ,
• Experience with cloud-based platforms such as AWS RDS and EC2. ,
• Strong understanding of database administration concepts, including performance tuning, query optimization, and security. ,
• Proficiency in scripting languages such as T-SQL and PowerShell. ,
• Ability to work independently and collaboratively as part of a team.

Benefits:

• Competitive salary and benefits package. ,
• Ongoing training and development opportunities. ,
• Collaborative and dynamic work environment.

About Us:

• We are a leading organization in the field of data management. ,
• We offer a range of products and services designed to meet the needs of businesses and organizations.

Job Description:

• Data Strategy : Develop and implement a comprehensive data strategy that aligns with the library's goals and objectives. This includes planning and assessing data requirements from various sources to inform data-driven decision making.
• Technical Expertise : Provide technical leadership on data management initiatives, including data cleaning, transformation, and governance. Collaborate with stakeholders to articulate solutions and vendors for data management needs.
• Process Optimization : Work closely with colleagues to identify areas for process improvements, automation, and evaluation of new systems. Lead on technical aspects of IT requirements and solutions for dashboards development, data visualization, and governance.
• Communication : Serve as the primary point of contact for technical communication between CITS, internal and external system administrators, software engineers, developers, or programmers. Ensure effective communication of technical requirements.
• Project Delivery : Oversee project resources and ensure timely delivery of results according to technical specifications. Manage expectations and provide support to stakeholders throughout the project lifecycle.
• Training Development : Identify training needs and design relevant initiatives to upskill colleagues in data management and analytics tools. Develop and deliver training programs to enhance professional development.
• Data Insights : Leverage data analytics expertise to provide actionable insights and recommendations for reporting and decision making. Utilize data visualization tools to present findings effectively.

Requirements:

• A bachelor's degree in Information Systems/Technology, Computer Science, Systems Engineering, or a related field is required. A master's degree in Library and Information Science (MLIS) is an added advantage.
• No less than 5 years of experience, with at least 1-2 years of supervisory experience.

We are seeking a seasoned professional to fill the role of Data Management Lead. This position will be responsible for managing and overseeing all aspects of data management, ensuring that our company's data is accurate, reliable, and secure.

The ideal candidate will have a strong background in data management, with experience in implementing and maintaining data systems, processes, and policies. They will be able to analyze complex data sets, identify trends and patterns, and develop strategies to improve data quality and reduce errors.

This role requires excellent communication and interpersonal skills, as well as the ability to work effectively in a team environment. The successful candidate will be able to collaborate with cross-functional teams, including IT, business stakeholders, and other departments, to ensure seamless data management across the organization.

In addition to their technical expertise, the Data Management Lead will also be responsible for developing and implementing data governance policies and procedures, ensuring compliance with relevant laws and regulations, and identifying areas for process improvement.

• Develop and implement data management strategies and plans
• Analyze and interpret complex data sets to identify trends and patterns
• Develop and maintain data systems, processes, and policies
• Collaborate with cross-functional teams to ensure seamless data management
• Develop and implement data governance policies and procedures

• 8-10 years of experience in data management or a related field
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work effectively in a team environment

Senior Data Management Professional - Data Engineering - Company Financials Markets, Singapore

Location

Singapore

Business Area

Data

Ref #

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the role?

The Company Financials Markets team is looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers. You are expected to take advantage of these knowledge and skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpose Company Financials products. Coupled with good communication and stakeholder management skills, you will also be working very closely with partners across PD&T, including Product Managers, Engineering teams as well as other Company Financials Industries and Cross-function teams to meet the needs of our external and internal clients.

We'll trust you to:

• Develop data-driven strategies, balancing the best of Technical, Product, Financial and Market knowledge, and work with our engineering and product departments to craft solutions
• Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches.
• Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets.
• Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks.
• Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence
• Develop interconnected data models that enable analysis across datasets and develop statistical analysis.

You'll need to have:

• A bachelor's degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field or degree-equivalent qualifications
• Minimum 4+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions, and/or a data engineering role or related fields such data quality, data modeling, or data architecture
• Experience working with Python in development or production environment
• Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
• Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
• Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English

We would love to see:

• Advanced degree/Master's degree in a Finance or STEM subject and/or CFA designation (or working towards it)
• Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
• Experience designing optimal database structures

If This Sounds Like You:

Apply today We'll reach out to discuss the next steps

Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, we may prioritise candidates with legal authorisation to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorization.