536 Data Analysis jobs in Singapore

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

As a risk assessment and data analysis expert, you will drive business decisions by combining actuarial knowledge with advanced data analytics skills.
Your Key Responsibilities

• Analyse treaty terms and product features in collaboration with actuarial and accounting teams to ensure accurate interpretation and implementation.
• Lead the onboarding of new treaties into our systems, ensuring accurate mappings, data consistency, and validation of results.
• Maintain high data quality by performing comprehensive checks, cleaning, and reconciliations, supporting portfolio management and pricing analysis.
• Design and maintain dashboards on Excel and Power BI to visualize, monitor, and analyse client data for business decision-making.
• Conduct ad-hoc analyses, including premium reconciliations, claims investigations, and preparation of datasets for experience studies and management reporting.
• Liaise with clients and internal stakeholders to identify, investigate, and resolve data issues, ensuring robust documentation and consistent data standards.
• Review and validate analytical outputs and data processes to ensure accuracy and uphold high-quality output from the team.
• Support junior members of the team in expanding their actuarial, systems, and insurance knowledge.

• Fellow of a recognized actuarial body.
• Bachelor's degree in Actuarial Science or related field, with a strong interest in data analytics.
• Minimum 3 years of experience in actuarial-related roles; experience in life insurance industry preferred.
• Proficient in Excel and SQL, with hands-on experience in data automation and managing large datasets.
• Skilled in data visualization, particularly using Power BI to develop clear and insightful dashboards.
• Strong analytical and problem-solving skills to interpret complex data structures and ensure high levels of data accuracy through thorough validation and reconciliation.

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

The primary function of this position is to lead data analysis efforts for customer and internal team purposes. This includes analyzing H-M Matching & HDD Optimization, isolating the impact of Head & Media Component on HDD optimization, identifying key performance indicators (KPIs) and media parameters that affect HDD performance, and developing predictive models to forecast HDD performance during the media development stage.

We are seeking an experienced Business Intelligence Data Analyst to collaborate with stakeholders and document requirements for data-driven projects.

• Collaborate with business and technical stakeholders to gather and document requirements, ensuring effective project delivery.
• Analyse existing manual reporting processes and identify opportunities for automation and process improvement, enhancing overall operational efficiency.
• Map data flows from source systems to reporting outputs, guaranteeing data integrity and consistency.
• Work with data engineers and developers to define data extraction, transformation, and loading (ETL) requirements, ensuring seamless integration.
• Support the design and implementation of Power BI dashboards and visualisations to meet business needs, providing actionable insights for informed decision-making.

Requirements:

• Minimum 5 years' experience as a Business Intelligence Data Analyst in data-driven projects, showcasing expertise in data analysis and interpretation.
• Excellent information gathering and stakeholder engagement skills, fostering strong relationships with cross-functional teams.
• Demonstrated ability in process improvement and business process re-engineering, driving organisational growth through innovative solutions.
• Experience working with source systems, data warehouses, and ETL processes, understanding the complexities of data management.
• Experience with SQL or other data querying tools, proficiently extracting valuable insights from large datasets.
• Proficiency in Power BI for data visualisation and dashboard development, creating interactive and dynamic reports.

Responsibilities:

• Lead data analysis efforts for both customer and internal teams focused on H-M Matching and HDD optimization
• Isolate and evaluate the impact of Head and Media components on HDD performance
• Identify Key Process Input Variables (KPIVs) and Media Parameters affecting HDD pass rates, error codes, and defect rates
• Develop predictive models for HDD performance during media development using KPIV/Parameter matrices
• Collaborate closely with R&D teams to communicate analysis results and findings
• Support RTV failure analysis (FA) and work with internal teams on root cause identification and corrective actions

Requirements:

• Degree in Engineering, Science, or related field; Masters degree is a plus
• Minimum 1 year experience in the HDD industry
• At least 2 years experience in data analysis or similar function
• Strong data analysis and critical thinking skills
• Ability to interpret complex analytical results
• Adaptable to changing priorities and fast-paced environments
• Excellent communication and interpersonal skills for cross-functional collaboration
• Proficient in analysis software such as Minitab, Tableau, Spotfire, JMP, R, or equivalents
• Competent in Microsoft Office
• Preferred but not required: knowledge of Python, SQL, Macros, or other programming languages
• Familiarity with Six Sigma, Lean Manufacturing, and Design of Experiment (DOE) methodologies is advantageous

Additional Information

• Able to work in a cleanroom environment

To apply, please visit and search for Job Reference: V6W68XYR

To learn more about this opportunity, please contact Yingying at

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R

This is in partnership with the Employment and Employability Institute Pte Ltd (e2i).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltds PDPA and e2is PDPA .

The student, as part of the Global Product Engineering team and under the guidance of an assigned mentor, will undertake projects working on developing data analysis automation and visualization tools.

Job Description

In your new role you will:

• Be engaged in data post-processing relating to backend final test
• Support the conceptualization and applicatio n of statistic/AI methods in backend yield analysis and reporting
• Develop data analysis automation tools
• Assist engineer on ad-hoc scripting requests for data analysis

Internship Learning Outcomes :

• Understand the main steps of back-end assembly packaging process , back-end final test production procedures and the subsequent data post-processing
• Gain knowledge on the concept and application of statistical methods in back-end yield analysis and reporting
• Make intensive use of Knime, Tableau, Python, HTML for programming of a data analysis tool
  Enhance communication skills through interaction with international colleagues

Your Profile

You are best equipped for this task if you have:

• Bachelor's or Master's degree student pursuing relevant fields of studies in Electrical/Electronic Engineering, Computer Engineering/Science or Information Technology
• Knowledge of sofeware: Tableau, Knime
• Knowledge on programming languages: Tableau, Python, HTML
  Motivated to learn and pick up new knowledge

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

We are on a journey to create the best Infineon for everyone.

This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.

• Embed Here for good and Group's brand and values in Client Experience
• Able to take on other projects such as improving client journey, processes and perform analysis of clients' insights where applicable.

• 4 plus years of experience in banking processes with familiarity in banking processes.
• Experience excel including use of formulas, conducting of trend analysis and presenting it into power point presentations for C-suite level is preferred.
• Experience in market research and insights, and speaking to clients.
• Experience in a client experience background or UI/UX is a plus .

• Good writing and communication skill.
• Powerpoint
• Excel (knowledge of Macros/Pivot) is an advantage
• Research & Insights
• UX/UI

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

We are seeking a talented and motivated individual to join our research team as a Research Fellow . This role is an excellent opportunity for someone to contribute to the advancement of knowledge in the field of cancer research.

Job Description:

The successful candidate will be involved in a project investigating telomere-binding proteins in sarcoma, spanning experimental approaches like chromatin immunoprecipitation, gene editing, expression analysis, and mass spectrometry. The role requires designing and conducting experiments, analyzing data, and writing manuscripts.

About the Role:

This is a full-time position that requires strong analytical and problem-solving skills. The successful candidate will work closely with our team to design and implement experiments, collect and analyze data, and present findings through publications and presentations.

Key Responsibilities:

• Design and conduct experiments using various techniques such as chromatin immunoprecipitation, gene editing, expression analysis, and mass spectrometry.
• Analyze data and write manuscripts for publication in reputable scientific journals.

Requirements:

To be considered for this role, you should have a strong background in molecular biology, biochemistry, or a related field. You should also have experience with experimental design, data analysis, and manuscript writing.

What We Offer:

We offer a competitive salary and benefits package, including access to cutting-edge research facilities and opportunities for professional development.

Contact Information:

Please submit your application, including your CV and a cover letter, to us via email. We look forward to hearing from you.