384 Data Analyst jobs in Singapore
Data Analyst
Posted 24 days ago
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Job Description
br>We are seeking a Data Analyst with a strong engineering background and expertise in Looker Studio, Windsor.ai, and SEO analytics. The ideal candidate will be responsible for analyzing digital marketing data, optimizing SEO strategies, and creating insightful dashboards to drive business decisions.
You are comfortable with working with data coming from different sources and systems and have a deep understanding of how the data can be used or manipulated to get the desired results or outcomes.
Need someone who can help with a variety of analytical and research tasks which also involves tasks such as scraping data from different sites (using a Chrome extension tool) and doing analysis on this data based on instructions provided by us. Need to be able to operate independently and work things out. Must be highly proficient in using Excel, fluent verbal/written communicator, and problem solver. You will be required to take an Excel test as part of the assessment.
Please watch this video for more of an overview of the role: Responsibilities:
Collect, clean, and analyze data from various sources, including Windsor.ai and SEO platforms.
Develop and maintain Looker Studio dashboards for data visualization and reporting.
Monitor and optimize SEO performance using data-driven insights.
Work closely with marketing and engineering teams to improve data accuracy and reporting efficiency.
Identify trends, patterns, and opportunities to enhance digital marketing strategies.
Ensure data integrity and compliance with industry standards.
Required Skills & Qualifications:
Bachelor’s or Master’s degree in Engineering, Data Science, or a related field.
Experience with Windsor.ai for marketing analytics and data integration.
Strong understanding of SEO principles and ability to analyze search engine performance.
Knowledge of SQL, Python, or R for data manipulation (preferred).
Excellent problem-solving skills and attention to detail.
Strong communication skills to present insights effectively.
Preferred Qualifications:
Experience working with Google Analytics, Google Search Console, and other SEO tools.
Familiarity with ETL processes and data warehousing.
Prior experience in digital marketing or e-commerce analytics.
Benefits:
Competitive salary
Opportunity to work with cutting-edge data analytics tools.
Working from home
How to apply:
To apply, send an email describing no more than three research tasks you've completed recently that required advanced use of Excel.
Data Analyst
Posted today
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This is an exciting opportunity to work with data from fieldwork, ensuring it is accurately processed and utilized for business growth.
As a key member of our team, you will be responsible for the following:
- Data processing, including reading and analyzing information collected in the field.
- Receiving training in engineering software to enhance your skills and knowledge.
- Demonstrating basic computer proficiency, including the ability to use MS Office applications.
We are seeking highly motivated individuals who can work collaboratively or independently, demonstrating strong problem-solving, organizational, and multi-tasking abilities.
To succeed in this role, you should have:
- A high degree of attention to detail, ensuring accuracy and precision in all tasks.
- A responsible and well-organized approach to work, with a strong focus on meeting deadlines.
If you possess these qualities and are interested in a challenging and rewarding career, we encourage you to apply.
Data Analyst
Posted today
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- Innovative Technology and Industry Leadership
- Global Exposure and Career Development
A global leader in connected technologies , specializing in innovative solutions for automotive, consumer electronics, and enterprise markets. The company is known for its expertise in audio engineering, infotainment systems, IoT, and AI-driven technologies , partnering with major brands worldwide. With a strong presence across multiple regions, it offers opportunities to work on cutting-edge products and collaborate with diverse, cross-functional teams to drive digital transformation and enhance user experiences
Job Description
- Design and implement data collection methods, ensuring accuracy and consistency across multiple sources.
- Conduct data mining, analysis, and visualization to identify trends and generate actionable insights.
- Create dashboards and reports to present findings clearly to stakeholders and senior management.
- Collaborate with product, marketing, and global insights teams to develop data-driven strategies, brand health reports, and performance tracking across APAC.
- Manage agency relationships to ensure timely and accurate delivery of data and report
- Bachelor's degree in eCommerce, Digital Analytics, Information Systems, Computer Science, or related field with 2+ years of data analytics experience.
- Proficient in data mining, analysis, and visualization using Excel, Power BI, and web analytics/UX tools (e.g., Google Analytics, Mouseflow). Strong analytical and problem-solving skills, with excellent communication abilities to present insights to non-technical audiences.
- Able to work independently or in teams in fast-paced environments
- Preferred with Marketing and E-commerce analytics background
- Flexible work environment with access to employee discounts on premium consumer technology products.
- Offers extensive training and development opportunities through in-house learning programs, along with employee recognition and rewards initiatives.
- Promotes an inclusive and diverse workplace that supports both professional growth and personal development
Jayden Yap (Lic No: R / EA no: 18C9065)
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Michael Page International Pte Limited, company number N (including Page Executive A) and Page Personnel Recruitment Pte Ltd (Registration Number: C)) operates under the EA Licence Numbers of 18S9099 and 18C9065.
Data Analyst
Posted today
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- Drive business growth through data analysis and modeling; iterate product strategies using A/B testing to improve user experience and retention;
- Collaborate closely with product, operations, and R&D teams to establish a data analysis system;
- Develop and refine data analysis methodologies and frameworks, extract recurring data needs of departments, and work with relevant teams to develop fixed reports and data products;
- Build user segmentation models and churn prediction algorithms, and enhance user engagement and loyalty through refined operations.
- Full-time bachelor's degree or above, preferably in mathematics, statistics, econometrics, or computer science;
- Strong data sensitivity and ability to solve business problems through data analysis;
- Proficient in common data analysis tools: SQL, Tableau, Excel, and capable of using Python/R/SPSS for analysis and modeling;
- Understanding of A/B test principles and solid knowledge of statistics;
- Good teamwork, communication skills, and a strong sense of responsibility.
- Strong reporting and communication skills in Chinese.
Data Analyst
Posted today
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Job Description
Key Responsibilities
• nalyze security logs and data sets to identify patterns and potential threats
• eate reports and visualizations that transform complex security data into actionable insights
• pport the team in monitoring security alerts and helping with initial triage
• sist in developing and refining dashboards
• rticipate in security research on emerging browser vulnerabilities and attack techniques
• lp document security processes and findings for internal knowledge sharing
What You'll Learn
• actical application of data analytics in cybersecurity context
• owser security concepts and common web vulnerabilities
• curity monitoring workflows and incident response procedures
• w to translate technical security findings into business insights
Requirements
• rrently pursuing or recently completed an undergraduate degree in Computer Science, Cybersecurity, Information Technology, or related field
• rking knowledge of SQL for data querying and analysis
• miliarity with big data concepts and analytical tools
• rong problem-solving abilities and attention to detail
• cellent written and verbal communication skills
• gerness to learn browser security concepts and web application vulnerabilities
Data Analyst
Posted today
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Job Description
This role will support the Corporate Development within Alliance Healthcare Group and its subsidiaries
What You'll Be Doing
- Data analysis to support business decision-making, strategic development and operational requirements.
- Produce dashboard and reports to provide insights into historical data, trending and predictive trends.
- Frame business scenarios and propose features that impact critical business processes and decisions.
- Act as the Data Analytics expert to provide insights on our data, to identify trends and opportunities and suggest solutions based on these insights to support business decision.
- Develop data mart, data models that can support data analysis to draw insightful information, predictive modelling and trend analysis, enabling us to proactively meet client needs and provide insights for active panel clinics management and portfolio management.
- Design and develop dashboard frameworks and reporting view to achieve efficiency in reporting for routine standard reports.
- Optimize statistical efficiency and quality.
- Collaborate closely with internal teams to understand insurers' or clients' requirements and business agreements, prepare claims analysis, and identify opportunities for improving efficiency of report submission.
- Standard regular reports to keep a view on panel clinics performance to ensure alignment with panel clinics management, cost containment strategies and to meet audit requirements.
- Utilize SQL and any other provided analytical tools to meet reporting requirements for clients/insurers/brokers.
- Degree in Data Analytics or relevant discipline.
- Candidates without experience are welcomed to apply.
- Ability to use programming languages such as Python, SQL and BI tools such as Tableau and Power BI.
- Strong Financial and Statistical Analysis skills, and Business acumen.
- Advanced knowledge with Microsoft Office Suite, especially in Microsoft Excel and use of Macros.
- Possess creative thinking, with excellent problem solving skills.
- Great time and priority management skills, and adherence to deadline.
- A good team player, able to work closely with multiple operational functions of the company.
- Written and verbal communication skills.
- Ability to contextualize business operations to data observations and support decision-making with insightful analysis.
To learn more about our Organisation, please visit
Data Analyst
Posted today
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1. Data Management and Analysis: Collect, sanitize, monitor, and analyze data from bus and rail AFC devices, identifying trends and detecting anomalies.
2. Data Interpretation and Reporting: Apply statistical techniques to analyze data, provide ongoing reports, and visualize insights to inform business decisions.
3. Complex Data Analysis: Identify, analyze, and interpret trends and patterns in complex data sets to inform predictive maintenance and system optimization.
4. Data Visualization and Communication: Present findings in a clear and concise manner, translating complex data insights into actionable recommendations.
5. Collaboration and Prioritization: Work with management to prioritize business needs, develop strategies for process improvement, and identify opportunities for optimization.
6. Process Improvement: Continuously seek out new opportunities for process improvement, leveraging data-driven insights to drive business outcomes.
Technical Requirements:
1. Data Modeling and Analysis: Expertise in data models, data mining, clustering, and segmentation techniques.
2. Technical Skills:
- Proficiency in reporting packages (e.g., Cognos) and databases (e.g., SQL).
- Programming skills in Python and experience with ETL frameworks.
- Familiarity with Python libraries (Pandas, NumPy, Scikit-learn, Python Dash, StreamLit).
- Good understanding of cloud concepts and cloud deployments
- Familiarity with automation tools (e.g. power automate, N8N etc.)
- Frontend Development: Creating the client-side of applications, focusing on layout, design, and user experience.
3. Data Visualization: Expertise in creating dashboards in Tableau and PowerBI, with hands-on experience in Tableau Server (publishing workbooks, administration settings).
4. Additional Skills:
- Knowledge of Java is a plus
- Concepts and appliation of LLM & GenAI
Experience and Education:
1. Experience: 2-3 years of relevant experience as a Full Stack Developer, Data Analyst or Business Data Analyst. Fresh graduates with relevant expertise and interest will also be considered.
2. Education: Degree in Computer Science, Electrical/Electronic Engineering, Information Management, Statistics, or a related field.
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Data Analyst
Posted today
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We are a forward-thinking organization dedicated to innovation and growth. Our core focus is on exploring and developing long-term insights and technologies related to our existing businesses and new opportunities beyond.
Data Analyst
Posted today
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We are looking for a skilled and detail-oriented Data Analyst to join our team. In this role, you will support various business teams by providing data-driven insights through reporting and analysis. You will be responsible for data extraction, transformation, visualization, and developing dashboards using Power BI. This role requires strong analytical thinking, a solid understanding of data sources, and the ability to work effectively in a cross-functional and collaborative environment.
Key Responsibilities:
- Extract, clean, and validate data from multiple sources for analysis
- Transform raw data into meaningful reports and actionable insights
- Design, build, and maintain interactive dashboards and reports using Power BI
- Collaborate with stakeholders to understand business needs and provide data support
- Ensure data quality, consistency, and integrity across all reports
- Work closely with both local and remote data teams to deliver analytical solutions
- Contribute to the development of documentation, standards, and best practices for analytics and reporting
- Bachelor's degree in Computer Science, Statistics, or a related discipline
- Minimum 5 years of experience in data analysis or a similar role
- Proficient in SQL and data visualization tools, especially Power BI
- Strong knowledge of data cleaning, transformation, and validation techniques
- Good communication and stakeholder management skills
- Ability to work independently and collaboratively in a dynamic environment
We regret that only shortlisted candidates will be notified.
EA License No.: 01C4394
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Data Analyst
Posted today
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About the Role:
We're seeking a seasoned data analyst to join our growth and excellence team. In this global role, you'll leverage your technical expertise to streamline operational workflows through data automation and intelligent process design.
You'll work closely with cross-functional stakeholders across sales, operations, and data engineering to drive better visibility into how technical product experiences contribute to pipeline movement and revenue generation.