227 Data Governance Specialist jobs in Singapore

Data Governance Specialist

Singapore, Singapore beBeeGovernance

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Job Description

The Data Governance Specialist will play a vital role in ensuring the effective management of data breach notification cases. This involves assessing situations, submitting reports, and supporting data and policy functions. The ideal candidate will have experience in data management/analysis and case handling, as well as proficiency in Microsoft Excel and familiarity with Tableau.

Key Responsibilities
  • Assess data breach notification cases and submit detailed reports
  • Support data and policy functions to ensure compliance and best practices
  • Prepare high-quality data for monthly and ad-hoc management reports
  • Contribute to the implementation of a new case and data management system
Requirements
  • Experience in data analysis and case handling is highly desirable
  • Proficiency in Microsoft Excel, including database creation and formula usage
  • Familiarity with Tableau applications
  • Excellent organizational skills and attention to detail
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Data Governance Specialist

068893 $7000 Monthly SALT TALENT SEARCH PTE. LTD.

Posted 2 days ago

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Job Description

SALT is hiring Data Governance Specialist for a global technology client in Singapore for 12 months & renewable contract assignment.


Responsibilities:

  • Define, document, and implement a scalable data governance framework, including strategies, policies, standards, and best practices.
  • Ensure data quality and integrity by defining and tracking KPIs, conducting regular data quality assessments, and implementing improvement plans
  • Define and implement data catalog capabilities and establish scalable metadata management practices
  • Lead cross-functional collaboration with business units, IT teams, and senior leadership to promote data governance practices
  • Provide comprehensive training and ongoing support to employees on data governance principles, policies, and best practices.

Qualification:

  • At least 5 years of experience in Data Governance & Data Quality implementation with bachelor’s degree in computer science, Engineering, or related field.
  • Strong expertise in Google Cloud Dataplex services and Familiarity with modern data governance platforms (e.g., Collibra, Alation, Atlan and Informatica CDGC)
  • Proven experience in designing and deploying data management solutions using Google Cloud Dataplex, integrating data lakes, data warehouses, BI applications and Proficiency in programming languages such as Java, Python.
  • Experience in data lineage, metadata management, and role-based access control (RBAC) within Dataplex.

CEI No: R / EA No: 07C3147

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Data Governance Specialist (IT Consultancy)

048624 Raffles Place, Singapore $9000 Monthly HAYS SPECIALIST RECRUITMENT PTE. LTD.

Posted 9 days ago

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Job Description

Your new company

An IT solutions consultancy is looking for an experienced Data Governance Specialist to join their team.


Your new role

  • Draft, maintain, and implement data governance policies, standards, and procedures across the organization.
  • Collaborate with business units to assess practices, identify gaps, and support policy adoption.
  • Establish a governance framework ensuring consistent data handling, access control, and regulatory compliance.
  • Facilitate communication, training, and documentation to promote governance awareness and support internal/external audits.


What you'll need to succeed

  • Bachelor’s degree in Computer Science/ Information Systems
  • Over 3 years of experience in data governance, compliance, and information management.
  • Strong grasp of governance frameworks, with familiarity in ISO/IEC 27001 and DAMA-DMBOK.
  • Skilled in documentation, policy writing, and audit preparation with excellent communication abilities.
  • Proven stakeholder engagement and cross-functional collaboration across diverse business units.
  • Knowledge of data privacy regulations; experience with cloud platforms and fast-paced environments preferred.


What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

  • Structured career growth and plenty of developmental opportunities
  • Hybrid and stable working environment


What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology, contact Yuki Cheung or email Referrals are welcome.


At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse backgrounds to apply.


EA Reg Number: R | EA License Number: 07C3924 | Company Registration No: D

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Data Governance Specialist (SA/M), Data & Analytics, Technology Consulting

Singapore, Singapore EY

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Data Governance Specialist (SA/M), Data & Analytics, Technology Consulting
Join to apply for the
Data Governance Specialist (SA/M), Data & Analytics, Technology Consulting
role at
EY
Overview
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
The opportunity:
EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize, and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region. We are seeking an experienced Data Governance Expert to join our team and lead data governance initiatives for our customers. The ideal candidate will have a strong background in data governance implementation, including expertise in data quality, data security, data management, and data sharing. Experience with data governance tools such as Alation and Azure Purview is highly desired. Prior experience in Data Engineering is also required.
Your key responsibilities
Define data governance strategies, policies, and procedures.
Define and enforce data governance standards, ensuring data quality, consistency, and accuracy throughout the data lifecycle.
Develop data governance frameworks and guidelines, including data classification, data ownership, and data stewardship.
Provide implementation guidance on data quality initiatives, including establishing data quality standards, conducting data profiling, and defining data quality rules and metrics.
Ensure data security and privacy compliance by providing implementation guidance on appropriate access controls, data classification protocols, and data protection measures.
Design data management processes, including data identification, metadata management, data lineage, and data cataloging.
Define data sharing and collaboration across teams and departments, ensuring data access, usability, and proper data sharing agreements.
Evaluate, select, and implement data governance tools and technologies, such as Alation and Azure Purview, to support data governance initiatives and enhance data management capabilities.
Provide guidance and training to business users and stakeholders on data governance best practices, policies, and procedures.
Stay updated on industry trends, standards, and regulatory requirements related to data governance and recommend appropriate modifications to existing policies and practices.
To qualify for the role
3+ years of experience in data analytics or data governance
Bachelor's degree in Computer Science, Information Management or related field.
Prior experience in a data governance or data management role, with a focus on data quality, metadata management, and data stewardship.
Strong conceptual knowledge of Business Intelligence, Data Warehousing, and Master Data Management.
Excellent communication, presentation, and interpersonal skills.
Strong organizational skills and attention to detail.
Proficient in relevant data governance tools and applications.
What We Offer
EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.
Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
How to apply
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The Exceptional EY Experience. It’s Yours To Build.
Apply now.
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Data Governance Specialist (SA/M), Data & Analytics, Technology Consulting

Singapore, Singapore Ernst & Young Advisory Services Sdn Bhd

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Job Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too.
The opportunity:
EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.
We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize, and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.
We are seeking an experienced Data Governance Expert to join our team and lead data governance initiatives for our customers. The ideal candidate will have a strong background in data governance implementation, including expertise in data quality, data security, data management, and data sharing. Experience with data governance tools such as Alation and Azure Purview is highly desired. Prior experience in Data Engineering is also required.
Your key responsibilities:
Define data governance strategies, policies, and procedures.
Define and enforce data governance standards, ensuring data quality, consistency, and accuracy throughout the data lifecycle.
Develop data governance frameworks and guidelines, including data classification, data ownership, and data stewardship.
Provide implementation guidance on data quality initiatives, including establishing data quality standards, conducting data profiling, and defining data quality rules and metrics.
Ensure data security and privacy compliance by providing implementation guidance on appropriate access controls, data classification protocols, and data protection measures.
Design data management processes, including data identification, metadata management, data lineage, and data cataloging.
Define data sharing and collaboration across teams and departments, ensuring data access, usability, and proper data sharing agreements.
Evaluate, select, and implement data governance tools and technologies, such as Alation and Azure Purview, to support data governance initiatives and enhance data management capabilities.
Provide guidance and training to business users and stakeholders on data governance best practices, policies, and procedures.
Stay updated on industry trends, standards, and regulatory requirements related to data governance and recommend appropriate modifications to existing policies and practices.
To qualify for the role, ideally, you should:
Have 3+ years of experience in data analytics or data governance.
Hold a Bachelor's degree in Computer Science, Information Management or related field.
Prior experience in a data governance or data management role, with a focus on data quality, metadata management, and data stewardship.
Have strong conceptual knowledge of Business Intelligence, Data Warehousing, and Master Data Management.
Possess excellent communication, presentation, and interpersonal skills.
Have strong organizational skills and attention to detail.
Be proficient in relevant data governance tools and applications.
What we offer
EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance.
We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.
Plus, we offer:
Continuous learning : You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture : You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
EY is an equal opportunities employer and welcomes applications from all qualified candidates.
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Data Quality Assurance Specialist

Singapore, Singapore beBeeQuality

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Job Summary

We are seeking a highly skilled Data Quality Assurance Specialist to join our team. The ideal candidate will have a strong background in data analysis and quality control, with excellent communication and problem-solving skills.

Key Responsibilities
  • To gather, analyze and report laboratory data from various sources, including test results, instrument data, and quality control records.
  • To evaluate data quality, identify potential issues, and implement corrective actions to ensure accuracy and reliability.
  • To analyze data to identify trends, patterns, and potential areas for improvement in regional laboratory processes.
  • To prepare reports and presentations summarizing data analysis findings and recommendations for improvement.
  • To collaborate with managers to implement process improvements based on data analysis findings.
Required Skills and Qualifications
  • Ability to work under pressure
  • Proficient in Microsoft Excel
  • Strong knowledge of quality control and assurance principles
  • Data analysis and management skills
  • Attention to detail and ability to maintain high levels of accuracy
  • Excellent communication and teamwork skills
Benefits
  • The opportunity to work in a dynamic and fast-paced environment
  • A competitive salary and benefits package
  • Ongoing training and development opportunities
Working Environment

This role requires the ability to work independently and as part of a team. You will be working in a laboratory setting and may be required to lift heavy equipment or spend long periods of time standing.

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Senior Data Management Professional - Data Quality - ESG Data (Korean speaker), Singapore

Singapore, Singapore Bloomberg

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Senior Data Management Professional - Data Quality - ESG Data (Korean speaker), Singapore
Location
Singapore
Business Area
Data
Ref #

**Description & Requirements**
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 - all while providing platinum customer support to our clients.
Environmental, Social, and Governance (ESG) data is increasingly crucial for our clients - providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, ESG data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.
**Our Team:**
As a team, we are responsible for managing and enhancing ESG-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate ESG risk and opportunity analysis into their workflows.
**The Role:**
The Sustainable Finance Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality, and technology to strengthen our data products by driving the implementation of robust data quality strategies and assurance practices. As a Senior Data Management Professional, you will help develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations. You will apply your problem-solving skills to design and refine quality control processes, ensure data integrity, and support automation of validation workflows to scale effectively. Additionally, you will measure and articulate the impact of your initiatives using business intelligence tools and data quality metrics. This role offers the opportunity to lead global quality initiatives, collaborate with cross-functional teams, and mentor junior colleagues developing in data quality and stewardship.
**We'll trust you to:**
+ Define and execute a comprehensive strategy to achieve best-in-class data quality for ESG data, with a strong emphasis on as-reported disclosures and point-in-time accuracy
+ Conduct data profiling and apply statistical analysis to measure, monitor, and enhance data quality across key ESG data sets and products
+ Collaborate with domain experts in Data, as well as colleagues in Product, Enterprise and Engineering, on implementation scalable, data-driven quality solutions
+ Lead initiatives to improve data quality across global datasets, incorporating regional assurance frameworks with a focus on APAC market nuances and local reporting standards
+ Apply a subject matter expertise in as-reported ESG data structures, ensuring accuracy across point-in-time series, disclosure timelines, and evolving regulatory requirements
+ Provide insights and recommendations to enhance decision making capability in business planning, process improvement, and solution management
+ Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of best practices more broadly
+ Keep up with the industry trends, standards, and innovation in the data quality domain and ESG data standards to continuously refine strategies and maintain competitive edge
+ Work in a fast-paced, multifaceted, and collaborative setting
**You'll need to have:**
+ Excellent written and verbal language proficiency in English and Korean as you will cover Korean content
+ A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics, Environmental Science, or a related field-or equivalent professional qualifications
+ 4+ years of experience in data quality management, quality assurance, or data governance within the finance or technology industry
+ Demonstrated experience developing data quality metrics, reporting frameworks, and governance processes as part of larger data architecture initiatives
+ Demonstrated knowledge of data management principles, including data modeling, ETL processes, and workflow design
+ Proficiency in data analysis and profiling using tools such as Python, R, SQL, and BI platforms, with the ability to identify data quality issues and generate actionable insights
+ Foundational understanding of statistics and the ability to interpret data to inform business decisions and craft compelling narratives
+ Excellent written and verbal communication skills, strong attention to detail, and effective problem-solving abilities
+ Proven ability to manage multiple global projects in parallel and collaborate effectively with cross-functional stakeholders
+ A strong ability to combine technical skills with business insight to improve data quality and operational outcomes
+ Demonstrated continuous career growth within an organisation
**We'd love to see:**
+ Strong knowledge and understanding of the Sustainable Finance market and sustainability related topics, with preference for experience working with a range of disclosure frameworks and standards, including but not limited to TCFD, ISSB, GRI
+ Experience profiling datasets and coming up with necessary requirements
+ Good understanding of data modeling concepts
+ Experience manipulating and wrangling large datasets
+ Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
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, you'll need to have legal authorisation to work full-time in Singapore, without Bloomberg sponsoring your work authorization, to be considered for this role.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
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Senior Data Management Professional - Data Quality - ESG Data (Korean speaker), Singapore

Singapore, Singapore Bloomberg

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Job Description

Description & Requirements
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 - all while providing platinum customer support to our clients.
Environmental, Social, and Governance (ESG) data is increasingly crucial for our clients – providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, ESG data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.
Our Team:
As a team, we are responsible for managing and enhancing ESG-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate ESG risk and opportunity analysis into their workflows.
The Role:
The Sustainable Finance Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality, and technology to strengthen our data products by driving the implementation of robust data quality strategies and assurance practices. As a Senior Data Management Professional, you will help develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations. You will apply your problem-solving skills to design and refine quality control processes, ensure data integrity, and support automation of validation workflows to scale effectively. Additionally, you will measure and articulate the impact of your initiatives using business intelligence tools and data quality metrics. This role offers the opportunity to lead global quality initiatives, collaborate with cross-functional teams, and mentor junior colleagues developing in data quality and stewardship.
You’ll need to have:
Excellent written and verbal language proficiency in English and Korean as you will cover Korean content
A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics, Environmental Science, or a related field—or equivalent professionalqualifications
4+ years of experience in data quality management, quality assurance, or data governance within the finance or technology industry
Demonstrated experience developing data quality metrics, reporting frameworks, and governance processes as part of larger data architecture initiatives
Demonstrated knowledge of data management principles, including data modeling, ETL processes, and workflow design
Proficiency in data analysis and profiling using tools such as Python, R, SQL, and BI platforms, with the ability to identify data quality issues and generate actionable insights
Foundational understanding of statistics and the ability to interpret data to inform business decisions and craft compelling narratives
Excellent written and verbal communication skills, strong attention to detail, and effective problem-solving abilities
Proven ability to manage multiple global projects in parallel and collaborate effectively with cross-functional stakeholders
A strong ability to combine technical skills with business insight to improve data quality and operational outcomes
Demonstrated continuous career growth within an organisation
We’d love to see:
Strong knowledge and understanding of the Sustainable Finance market and sustainability related topics, with preference for experience working with a range of disclosure frameworks and standards, including but not limited to TCFD, ISSB, GRI
Experience profiling datasets and coming up with necessary requirements
Good understanding of data modeling concepts
Experience manipulating and wrangling large datasets
Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
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, you'll need to have legal authorisation to work full-time in Singapore, without Bloomberg sponsoring your work authorization, to be considered for this role.
The data department at Bloomberg is pretty much what it sounds like. They are .
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Data Quality & Enablement Analyst (Tableau)

$11000 Monthly FLARE CONSULTING PTE. LTD.

Posted 4 days ago

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About the Role

We are seeking a dynamic and versatile Data Quality & Enablement Analyst to play a dual-critical role. This unique position sits at the intersection of the data engineering and business intelligence functions. You will be the guardian of the data integrity in Snowflake and the champion who empowers business teams to leverage Tableau for maximum impact. If you are a technical expert who also loves teaching, coaching, and driving data literacy, this is the perfect role for you.

Key Responsibilities

Data Quality & Technical Validation (50%):

  • Design, develop, and execute comprehensive test cases to validate data ingestion and transformation logic within the Snowflake data platform.
  • Perform end-to-end data validation using advanced SQL, comparing data between source systems (e.g., PostgreSQL) and the target Snowflake environment to ensure accuracy and consistency.
  • Validate and quality-check Snowflake stored procedures and complex SQL scripts used for ETL/ELT processing.
  • Develop and utilize Python scripts for automated data comparison, test utilities, and process automation.
  • Utilize JIRA to meticulously manage test cycles, track defects, and report on testing progress and quality metrics.

Tableau Coaching & Business Enablement (50%):

  • Act as a Tableau Coach and trusted advisor to business teams, partnering with them to identify and implement high-impact use cases that enhance decision-making and operational efficiency.
  • Design, develop, and deliver engaging and comprehensive Tableau training programs, including bootcamps, workshops, and hands-on sessions for diverse user groups, from beginners to citizen developers.
  • Provide ongoing one-on-one coaching and support to foster self-sufficiency and innovation in data exploration and visualization.
  • Champion data literacy initiatives across the organization, enabling users to confidently explore, interpret, and communicate data-driven insights.
  • Maintain, refresh, and optimize enterprise Tableau dashboards to ensure they are accurate, relevant, and aligned with evolving business objectives.
  • Conduct User Acceptance Testing (UAT) with business users to validate new dashboard functionality and usability.
Qualifications & Experience

Mandatory Requirements:

  • Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field.
  • 3-6 years of professional experience in a data-focused role, with proven expertise in Tableau and BI tools.
  • Strong proficiency in SQL for data manipulation, validation, and analysis.
  • A basic understanding of Snowflake data warehouse architecture and scripting (SQL, stored procedures).
  • Excellent analytical, problem-solving, and root-cause analysis skills.
  • Outstanding verbal and written communication skills, with a demonstrated ability to collaborate effectively with both technical and non-technical stakeholders.

Preferred Qualifications:

  • Experience working on projects involving Snowflake or similar cloud data platforms (e.g. BigQuery, Redshift, Databricks).
  • Exposure to other BI and data visualization tools such as Power BI or Qlik.
  • Familiarity with AI tools and frameworks; experience supporting Gen-AI enablement initiatives is a significant plus.
  • Hands-on experience with JIRA for task and defect management.
  • Proficiency in using Python for data scripting, automation, or testing.
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Project Manager, Talend ETL & Data Quality, Digital Solutions

Singapore, Singapore INSEAD

Posted today

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Overview
INSEAD is seeking an ETL Project Manager (Talend) to join our Digital department. This is a full-time, short term (6 months) contract position based at our Asia Campus in Singapore or Europe France in Fontainebleau, France. A hybrid working model is in place – 3 days on campus, 2 days from home.
The Digital department at INSEAD supports the school's global operations by delivering cutting-edge technological solutions that enhance teaching, research, and administrative functions. It ensures seamless integration of digital tools and infrastructure across all campuses, fostering innovation and operational efficiency.
Your role within the team
Project delivery: Manages the entire project lifecycle from assessing the business problem, through definition, detailed planning, implementation and delivery while balancing the 3 dimensions of a project which are scope/quality, cost/resources and schedule/timeline.
Proposal & Planning: proposes one or several well-documented, if applicable, financially established solutions clearly outlining the pros and cons of each in use cases. Compiles status reports on the various projects.
Communication: facilitates seamless communication with key stakeholders along the progress of the project and ensures they can make well-informed decisions. Organizes and structures the project with clear milestones, meetings, workshops, collaboration tools and appropriate communication channels and processes. Security and data: ensures to always follow and enforces INSEAD security policies and practices through the project he/she manages. Each project should also be considering of the data usage.
Relationship management: cultivates strong, collaborative relationships between external and internal stakeholders, including Digital departments, across diverse cultures and INSEAD campuses; fostering trust, cooperation among all contributors and facilitates healthy conversations.
Stakeholder engagement: Acts as a reliable key contact, shares knowledge, gives regular updates, provides guidance and is able to recommend solutions across multiple projects and business areas.
Standards/Innovation: respects all relevant INSEAD standards (development, CI .) in his/her activities, under special application of all state-of-the-art technical and ergonomic design standards. Proposes new creative approaches based on INSEAD strategy and commitments.
Qualifications
Bachelor's or Master's Degree in Information Systems/Computer Science or equivalent.
Certificate: PMP or Scrum Master.
More than 5 years of Project Management experience.
Exposure working in a Data Engineering environment – data integration, ETL, data modeling.
Excellent written and oral communication skills.
Tools: Jira and Talend Open Studio for Data Integration.
Responsibilities
Project delivery: Manages the entire project lifecycle from assessing the business problem, through definition, detailed planning, implementation and delivery while balancing the 3 dimensions of a project which are scope/quality, cost/resources and schedule/timeline.
Proposal & Planning: proposes one or several well-documented, if applicable, financially established solutions clearly outlining the pros and cons of each in use cases. Compiles status reports on the various projects.
Communication: facilitates seamless communication with key stakeholders along the progress of the project and ensures they can make well-informed decisions. Organizes and structures the project with clear milestones, meetings, workshops, collaboration tools and appropriate communication channels and processes. Security and data: ensures to always follow and enforces INSEAD security policies and practices through the project he/she manages. Each project should also be considering of the data usage.
Seniority level
Associate
Employment type
Temporary
Job function
Human Resources
Industries
Higher Education
We’re not able to confirm real-time posting statuses here. If you’re viewing this description, please contact the employer for the latest information.
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  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
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