Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

Are you driven by the desire to see your hard work directly impact others? Join the DNDTS team, where we excel in crafting success stories through dynamic projects. Each endeavor is a unique opportunity to contribute to our proven track record of achievements.

Experience the satisfaction of seeing your efforts transform into positive changes in people's lives. In our thriving SME environment, you won't be limited to a single role. You'll have the chance to engage in cross-departmental collaboration, fostering a rich learning experience.

As our team consistently grows, so do opportunities for career advancement. We embrace the startup culture by having a casual working attire and a flat hierachy across deparments. Your journey with us goes beyond a job—it's a chance to make a lasting impact while expanding your skill set. Join DNDTS and become a key player in our success story.

About the Company

Our company specializes in electronic products. We believe in the power of data to guide and refine our business strategies, including marketing, new business development, and overall operations. We are looking for a data analyst to help us unlock the potential of data and optimize our business for continued growth and success.

Roles & Responsibilities

As a Data Analyst, you will be responsible for gathering, analyzing, and leveraging data to inform decision-making and enhance our supply chain, sales channels, and overall business processes. You will collaborate with various departments to identify trends, improve efficiency, and maximize profitability.

Key Responsibilities

• Collect and analyze market data using our proprietary tool to uncover insights into consumer preferences, competitor strategies, industry trends, and potential opportunities for growth.

• Utilize our data analytics and visualization tools to examine data, communicate findings about key business aspects such as sales, revenue, costs, and production.

• Perform process analysis to pinpoint inefficiencies or bottlenecks and implement business process improvements for maximum profit.

• Conduct cost-benefit analyses to determine the optimal allocation of resources, investments in equipment, staffing decisions, or procurement strategies.

Qualifications / Requirements

• Bachelor's degree in Computer Science, Business Analytics, or a related field.

• Proficiency in common data analysis programming languages, libraries, and tools (e.g., Python, R, SQL, Pandas, NumPy).

• Solid data analysis and visualization skills, with experience in tools such as Tableau, Power BI, or similar platforms.

• Excellent communication skills, with proficiency in English.

• Ability to work independently and collaboratively with cross-functional teams.

• Strong problem-solving skills and a results-oriented mindset.

Benefits

• Flexible working hours

• Yearly Bonus

• Medical Insurance Coverage

• Staff Discounts

• Corporate Discounts at participating F&B and Retail Outlets

• Fast Career Advancement Opportunities

• Multi-Industry Exposure

• Working Location: East - Airline House - Next to Singapore Airlines HQ

Please ensure you meet the minimum qualifications before applying. We regret to inform that only shortlisted candidates will be notified. If you are a data analyst with a passion for using data to optimize operations and drive growth within the electronics industry, apply now to join our innovative company and embark on a rewarding career journey.

Join Our Dynamic Data Science and Research Team

Are you passionate about transforming healthcare with cutting-edge AI and research methodologies? Our Data Science and Health Services Research (HSR) team is at the forefront of care transformation, working collaboratively with clinical leads to enhance patient outcomes and community well-being.

Why Join Us?

1. Purpose-Driven Work: Be part of impactful projects that integrate AI tools and advanced analytics to revolutionize care delivery.

2. Team Culture and Collaboration: Thrive in a team that values teamwork, mutual trust, and dynamic collaboration, supported by a strong focus on well-being.

3. Commitment to Learning: Benefit from continuous learning opportunities, mentorship, and capacity-building programs to advance your career.

4. Vision for the Future: Join a team that is committed to:

• Driving healthcare innovation through research and evidence-based practice.
• Expanding internal capabilities and expertise.
• Building and nurturing relationships across diverse disciplines.

Key Responsibilities:

• Design and develop integration pipelines for clinical data, chatbot data, and patient-reported outcomes.
• Develop and refine AWS chatbot functionality and maintenance.
• Ability to resolve the technical issues independently or escalate to next level for support
• Collaborate with clinical leads to identify gaps, and areas for improvement in AI tool developments
• Lead AI project design, including system and study design, as well as AI project evaluations and ROI
• Present findings, updates, and recommendations to senior management and committees
• Write-up coding and SOP independently and collaborate with team members to validate and improve the technical solution

What We’re Looking For:

• Qualifications: PhD/master/degree in Computer Science, Engineering, or a related field.
• Experience: 2–3 years of relevant work experience in AI development or data engineering.
• Expertise in AWS or RAG (Retrieval-Augmented Generation) tools.
• Proficient in SQL and familiar with the use SQL Server.
• Familiar with the use, design, and implementation of RESTful APIs.
• Familiar with Python libraries such as Django, Dash, Plotly and with building web-based data visualisation applications.
• Familiar with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn, Plotly and other machine learning libraries.
• Familiar with the use of Docker, Kubernetes and with performing container deployments.
• Proficiency in system integration and clinical AI design.
• Strong project management and interpersonal skills.
• A self-driven attitude with a passion for solving complex challenges and advancing healthcare innovation.

Join Our Dynamic Data Science and Research Team

Are you passionate about transforming healthcare with cutting-edge AI and research methodologies? Our Data Science and Health Services Research (HSR) team is at the forefront of care transformation, working collaboratively with clinical leads to enhance patient outcomes and community well-being.

Why Join Us?

1. Purpose-Driven Work: Be part of impactful projects that integrate AI tools and advanced analytics to revolutionize care delivery.

2. Team Culture and Collaboration: Thrive in a team that values teamwork, mutual trust, and dynamic collaboration, supported by a strong focus on well-being.

3. Commitment to Learning: Benefit from continuous learning opportunities, mentorship, and capacity-building programs to advance your career.

4. Vision for the Future: Join a team that is committed to:

• Driving healthcare innovation through research and evidence-based practice.
• Expanding internal capabilities and expertise.
• Building and nurturing relationships across diverse disciplines.

Key Responsibilities:

• Support the development of AI tools within the Electronic Medical Records (EMR), including validating feasibility in clinical settings.
• Collaborate with clinical leads to evaluate programs, identifying predictive factors and areas for improvement.
• Design and lead program evaluations, including cost-effectiveness analysis and study design.
• Conduct literature reviews to support evidence-based practices.
• Perform data analysis using tools such as Python, R, Tableau, AWS and other statistical software.
• Prepare and present comprehensive reports and insights to management and stakeholders.
• Work in multidisciplinary teams to drive improvements in clinical outcomes and patient satisfaction.

What We’re Looking For:

• Qualifications: A degree in Statistics, Business Analytics, Health Economics, Public Health, or a related field.
• Experience: 2–3 years in a relevant field with a strong grasp of quantitative and qualitative methods.
• Proficiency in analytics tools like Python, R, Tableau, AWS and other statistical software.
• Familiar with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn, Plotly.
• Excellent project management and organizational abilities.
• Strong communication skills and a proactive mindset.
• Passion for problem-solving and intellectual curiosity.
• Ability to adapt to new challenges and embrace innovation.

Responsibilities

• Work with business analysts and internal stakeholders to identify business problems and

opportunities propose analytics solutions, as well as data and technology requirements, and

formalize them into a project Analytics solutions which include, but are not limited to report

automation, advanced analytics, and AI engines

• Work with data engineers to plan, identify, and integrate data from multiple source systems to

enterprise data platform for analytics purposes

• Perform data exploration, preprocess, and analyse the data (both structured and unstructured);

develop and deploy machine learning/deep learning models

• Create dashboards to communicate and present key findings to stakeholders, and manage UAT

• Work with the team to run and prioritise projects according to objectives and business impact

• Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive

impactful solutions in the company

• Explore new methodologies for increasing the efficiency and effectiveness of Generative AI

applications

• Continuously evaluate and enhance the performance of Generative AI models through rigorous

testing and experimentation

Requirements:

• Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering

or equivalent disciplines that focused on extensive use of data for analysis

• Strong programming experience using python or spark, with solid understanding of data science

concepts.

• Practical knowledge in statistical and machine learning techniques including Regression, Random

Forest, Boosting, Trees, Text Mining, Network Analysis, etc

• Practical knowledge in deep learning techniques including computer version, NLP, etc

• Experience in data visualization software such as Power BI or Tableau

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

• Beneficial to possess knowledge or practical experience in generative AI or developing LLM

applications using the Microsoft Azure stack or third-party packages such as LangChain.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with 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 e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui