80 Data Science Manager jobs in Malaysia

Join to apply for the Data Science Manager role at MoneyMatch

1 day ago Be among the first 25 applicants

Join to apply for the Data Science Manager role at MoneyMatch

The Data Science team serves as the backbone of the company’s data ecosystem, encompassing a wide range of diverse responsibilities. From developing and maintaining robust data pipelines for efficient data handling, to designing and deploying tailored data-driven platforms & products, our team ensures a seamless data management experience for the entire organization.

Most importantly, the Data Science team positions itself as the driving force behind the company’s multi-faceted growth. Operating under the motto of “Pushing the Limit”, the role is just as dynamic as it is impactful. Our comprehensive approach reflects our commitment to strategic data management, enabling and further empowering business units with actionable insights. The collaborative efforts of the Data Science team elevate the efficiency, accuracy, and strategic value of our organization's data landscape.

About the Role:

We are seeking an experienced and passionate Data Science Manager to lead and grow our Data Science team. As a Data Science Manager, you will be at the forefront of transforming data into actionable intelligence. You will lead a multidisciplinary team of data professionals to solve complex business problems using data-driven solutions that influence strategic decisions across the company. You will work closely with cross-functional teams including product, engineering, operations, and compliance to drive innovation and ensure the successful delivery of analytics initiatives.

This role requires not only strong technical skills in data science but also solid leadership, project management capabilities, and a collaborative mindset. Experience in agile development, sprint planning, and Jira will be highly valuable as you’ll help manage the team’s workflow and maintain high operational efficiency. A background in data product management and software engineering is a plus, enabling you to bridge technical execution with business needs.

Primary Responsibilities:

• Lead, mentor, and manage a team of data analysts, developers and engineers to execute projects from ideation to deployment.
• Oversee the development and deployment of machine learning algorithms, data science platforms and statistical analyses.
• Manage project timelines, sprint cycles, and backlog prioritization using agile methodologies.
• Collaborate closely with various other business units in the organization, engaging in their daily operations to comprehend existing processes, with the intention of enhancing operational efficiency within those business units.
• Ensure proper data governance, model validation, and documentation standards are followed.
• Present insights and recommendations to senior stakeholders to support data-driven decision-making.
• Evaluate and adopt the latest tools, technologies, and frameworks to maintain a modern data science stack.
• Stay current with industry trends and advancements in data science, programming and FinTech industry.

Requirements:

• Bachelor's Degree in Computer Science, Software Engineering, Data Science or experience in related fields.
• 5+ years of experience in data science with at least 2-3 years in a managerial or lead role.
• Strong proficiency in Python & R, SQL, and machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, etc.).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and data visualization tools (e.g., Tableau, Power BI, Quicksight).
• Excellent communication skills, both technical and non-technical.
• Proven track record of delivering impactful data projects that influence business outcomes.

Preferred Qualifications:

• Ability to work in a fast-paced agile development environment.
• Experience with software engineering practices, including version control (Git), CI/CD pipelines, and testing frameworks.
• Familiarity with agile project management, including sprint planning, retrospectives, and using tools such as Jira or Trello.
• Proven experience as a Data Product Manager or working closely with product teams to shape data products and solutions.
• Strong project management skills, with a track record of managing timelines, stakeholders, and cross-functional collaboration.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology

Referrals increase your chances of interviewing at MoneyMatch by 2x

Get notified about new Data Science Manager jobs in Petaling Jaya, Selangor, Malaysia .

Federal Territory of Kuala Lumpur, Malaysia 3 days ago

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This job is a Data Science Manager leading a team to turn data into smart strategies. You might like this job because you'll drive innovation, collaborate with various departments, and help shape business decisions using cutting-edge data insights! The Data Science team serves as the backbone of the company’s data ecosystem, encompassing a wide range of diverse responsibilities. From developing and maintaining robust data pipelines for efficient data handling, to designing and deploying tailored data-driven platforms & products, our team ensures a seamless data management experience for the entire organization. Most importantly, the Data Science team positions itself as the driving force behind the company’s multi-faceted growth. Operating under the motto of “Pushing the Limit”, the role is just as dynamic as it is impactful. Our comprehensive approach reflects our commitment to strategic data management, enabling and further empowering business units with actionable insights. The collaborative efforts of the Data Science team elevate the efficiency, accuracy, and strategic value of our organization's data landscape. About the Role: We are seeking an experienced and passionate Data Science Manager to lead and grow our Data Science team. As a Data Science Manager, you will be at the forefront of transforming data into actionable intelligence. You will lead a multidisciplinary team of data professionals to solve complex business problems using data-driven solutions that influence strategic decisions across the company. You will work closely with cross-functional teams including product, engineering, operations, and compliance to drive innovation and ensure the successful delivery of analytics initiatives. This role requires not only strong technical skills in data science but also solid leadership, project management capabilities, and a collaborative mindset. Experience in agile development, sprint planning, and Jira will be highly valuable as you’ll help manage the team’s workflow and maintain high operational efficiency. A background in data product management and software engineering is a plus, enabling you to bridge technical execution with business needs. Primary

Responsibilities: Lead, mentor, and manage a team of data analysts, developers and engineers to execute projects from ideation to deployment. Oversee the development and deployment of machine learning algorithms, data science platforms and statistical analyses. Manage project timelines, sprint cycles, and backlog prioritization using agile methodologies. Collaborate closely with various other business units in the organization, engaging in their daily operations to comprehend existing processes, with the intention of enhancing operational efficiency within those business units. Ensure proper data governance, model validation, and documentation standards are followed. Present insights and recommendations to senior stakeholders to support data-driven decision-making. Evaluate and adopt the latest tools, technologies, and frameworks to maintain a modern data science stack. Stay current with industry trends and advancements in data science, programming and FinTech industry. Job Requirements

Requirements: Bachelor's Degree in Computer Science, Software Engineering, Data Science or experience in related fields. 5+ years of experience in data science with at least 2-3 years in a managerial or lead role. Strong proficiency in Python & R, SQL, and machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, etc.). Experience with cloud platforms (e.g., AWS, GCP, Azure) and data visualization tools (e.g., Tableau, Power BI, Quicksight). Excellent communication skills, both technical and non-technical. Proven track record of delivering impactful data projects that influence business outcomes. Preferred Qualifications: Ability to work in a fast-paced agile development environment. Experience with software engineering practices, including version control (Git), CI/CD pipelines, and testing frameworks. Familiarity with agile project management, including sprint planning, retrospectives, and using tools such as Jira or Trello. Proven experience as a Data Product Manager or working closely with product teams to shape data products and solutions. Strong project management skills, with a track record of managing timelines, stakeholders, and cross-functional collaboration. Skills

Data Analysis Data Management Data Modeling Data Science Data Warehousing Database Design Database Management Software Engineering Agile Software Development Company Benefits

Medical Benefits

Inpatient & outpatient medical benefits are provided to all full time staff. Fast Growth Startup

We provide ample opportunities for career advancement and personal growth within our dynamic environment. Fully Stocked Pantry

Our pantry is restocked every 2 weeks to keep you fueled throughout the day. Free food yasss! Weekly Activities

Weekly badminton, futsal and running session after work. All on house. Just come with your racket and sports gear, and let the fun begin! Performance appraisal will be conducted twice a year. Laptop/Desktop/Mobile Phone Provided

We provide the necessary devices for you to do the job. MoneyMatch is a multi-national financial technology firm focusing on international payments. Our award winning digital platform has successfully executed over MYR 950 million in transactions covering cross-border trade payments and individual remittances. We've achieved such rapid success by optimizing our treasury operations with machine learning algorithms and integration with blockchain solutions for swifter.

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Join to apply for the

Data Science Manager

role at

MoneyMatch 1 day ago Be among the first 25 applicants Join to apply for the

Data Science Manager

role at

MoneyMatch The Data Science team serves as the backbone of the company’s data ecosystem, encompassing a wide range of diverse responsibilities. From developing and maintaining robust data pipelines for efficient data handling, to designing and deploying tailored data-driven platforms & products, our team ensures a seamless data management experience for the entire organization. Most importantly, the Data Science team positions itself as the driving force behind the company’s multi-faceted growth. Operating under the motto of “Pushing the Limit”, the role is just as dynamic as it is impactful. Our comprehensive approach reflects our commitment to strategic data management, enabling and further empowering business units with actionable insights. The collaborative efforts of the Data Science team elevate the efficiency, accuracy, and strategic value of our organization's data landscape. About the Role: We are seeking an experienced and passionate Data Science Manager to lead and grow our Data Science team. As a Data Science Manager, you will be at the forefront of transforming data into actionable intelligence. You will lead a multidisciplinary team of data professionals to solve complex business problems using data-driven solutions that influence strategic decisions across the company. You will work closely with cross-functional teams including product, engineering, operations, and compliance to drive innovation and ensure the successful delivery of analytics initiatives. This role requires not only strong technical skills in data science but also solid leadership, project management capabilities, and a collaborative mindset. Experience in agile development, sprint planning, and Jira will be highly valuable as you’ll help manage the team’s workflow and maintain high operational efficiency. A background in data product management and software engineering is a plus, enabling you to bridge technical execution with business needs. Primary

Responsibilities: Lead, mentor, and manage a team of data analysts, developers and engineers to execute projects from ideation to deployment. Oversee the development and deployment of machine learning algorithms, data science platforms and statistical analyses. Manage project timelines, sprint cycles, and backlog prioritization using agile methodologies. Collaborate closely with various other business units in the organization, engaging in their daily operations to comprehend existing processes, with the intention of enhancing operational efficiency within those business units. Ensure proper data governance, model validation, and documentation standards are followed. Present insights and recommendations to senior stakeholders to support data-driven decision-making. Evaluate and adopt the latest tools, technologies, and frameworks to maintain a modern data science stack. Stay current with industry trends and advancements in data science, programming and FinTech industry. Requirements: Bachelor's Degree in Computer Science, Software Engineering, Data Science or experience in related fields. 5+ years of experience in data science with at least 2-3 years in a managerial or lead role. Strong proficiency in Python & R, SQL, and machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, etc.). Experience with cloud platforms (e.g., AWS, GCP, Azure) and data visualization tools (e.g., Tableau, Power BI, Quicksight). Excellent communication skills, both technical and non-technical. Proven track record of delivering impactful data projects that influence business outcomes. Preferred Qualifications: Ability to work in a fast-paced agile development environment. Experience with software engineering practices, including version control (Git), CI/CD pipelines, and testing frameworks. Familiarity with agile project management, including sprint planning, retrospectives, and using tools such as Jira or Trello. Proven experience as a Data Product Manager or working closely with product teams to shape data products and solutions. Strong project management skills, with a track record of managing timelines, stakeholders, and cross-functional collaboration. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Referrals increase your chances of interviewing at MoneyMatch by 2x Get notified about new Data Science Manager jobs in

Petaling Jaya, Selangor, Malaysia . Federal Territory of Kuala Lumpur, Malaysia 3 days ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 year ago T&T Director - Artificial Intelligence & Data (Technology, Media & Telecommunications) - MY

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Petaling Jaya, Selangor, Malaysia 2 months ago Federal Territory of Kuala Lumpur, Malaysia 3 months ago Federal Territory of Kuala Lumpur, Malaysia 4 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Federal Territory of Kuala Lumpur, Malaysia 5 hours ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Business Intelligence and Data Analytics Manager

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Wilayah Persekutuan Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago Associate Director, Catastrophe Management

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 21 hours ago Federal Territory of Kuala Lumpur, Malaysia 1 hour ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago Pricing Excellence & Analytics Manager, East Asia

Senior Manager, Performance Management & Actuarial

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 months ago DRSC SR&T Manager, Forensic and Financial Crime - Data Analytics

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Senior Manager, Performance Management & Actuarial

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 year ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 days ago Manager / Senior Manager, Pricing & Revenue Management

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Petaling Jaya, Selangor, Malaysia 4 days ago Petaling Jaya, Selangor, Malaysia 4 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 21 hours ago Petaling Jaya, Selangor, Malaysia 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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• Oversee the analytics team to deliver actionable insights for business improvement.
• Develop and implement analytics strategies to enhance decision-making processes.
• Collaborate with cross-functional teams to identify data-driven opportunities.
• Ensure data accuracy and integrity in reporting and analysis.
• Monitor and analyze key performance metrics to evaluate business outcomes.
• Lead the adoption of advanced analytics tools and methodologies.
• Provide guidance and mentorship to team members to foster professional growth.
• Prepare and present high-level reports to senior management.

The Successful Applicant

A successful Senior Manager in Analytics should have:

• A degree in Analytics, Data Science, Business, or a related field.
• Proven expertise in data analytics and business intelligence tools.
• Strong leadership and team management skills.
• Excellent problem-solving and critical-thinking abilities.
• Experience in translating data into actionable insights and strategies.
• Strong communication skills to interact with stakeholders effectively.

What's on Offer

• Competitive salary of MYR 180,000 to MYR 240,000 annually.
• Attractive benefits, including a 3-month performance bonus and a 15% EPF contribution.
• Supportive and collaborative work environment in Kuala Lumpur.
• Exposure to advanced analytics tools and methodologies.

This is an excellent opportunity for ambitious professionals to make a significant impact in the Data Science space. Apply now to take your career to the next level!

ContactJ-Shan LokeQuote job refJN-072025-6786411Phone number60123262534 #J-18808-Ljbffr

Assistant Manager, Data Science

Apply locations Kuala Lumpur, MY-AIA Malaysia time type Full time posted on Posted 6 Days Ago job requisition id JR-54315

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.

As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

If you believe in developing a better tomorrow, read on.

About the Role

• To support on being the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives.
• To be part of the data science team to deliver analytical work with business execution that contribute to business growth, customer experience, productivity and optimizes efficiencies.
• Create valuable best practices that can be replicated in other markets.
• To produce best practice analytics solutions to support business decisions with measurable success to drive business growth and effectiveness.
• To deliver the analytics workplan with the Insights team and business users to ensure delivery of brilliant analytics work that meets the business pace.

Job Description:

• To create and execute the data science approach to support the long term and short term business needs, which will drive tangible business outcome.
• Partnering with the Insights team to ensure delivery of analytics workplan in a timely manner with brilliant quality work.
• This role requires candidates to have a hands-on approach and be the analytics technical expert who uses large data sets and strong in applying varieties of machine learning methodology / algorithms with different data tools in developing the models, running simulations & optimization.
• Being an analytics consultant for the business stakeholders and able to coach team members to recommend and deliver the creative analytics solutions for continuous improvements and solving business questions.
• Implement and manage a high standard of procedural documentation.
• Research and experiment with creative and advanced machine learning techniques and tools.
• Drive the collection of new data and refinement of existing data sources.

Job Requirements:

• Bachelor's Degree / Masters in any relevant field of study is required.
• 5 years’+ data science related experience.
• Advance level in programming-based analytics with experience in two or more of the following languages:SQL / R / Python
• Proven experience in building statistical models, segmentations, predictive and propensity models (e.g. clustering, predictive models, neural network, scenario analysis, conceptual modelling, hypothesis testing).
• Good understanding of design and machine learning algorithm principles.
• Good understanding of machine learning model management principles and practices.
• Able to work in a fast-paced, multidisciplinary and competitive environment.
• Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.
• Able to collaborate with other teams to drive positive outcomes.
• Strong business acumen and project management skills with ability to manage multiple priorities.
• Added bonus if candidate has experiences over Big Data platform (especially unstructured data) and deep learning.
• Strong sense of urgency and accountability to drive business outcomes.

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

#J-18808-Ljbffr

Assistant Manager, Data Science

Apply locations Kuala Lumpur, MY-AIA Malaysia time type Full time posted on Posted 6 Days Ago job requisition id JR-54315 At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone. As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives. To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone. If you believe in developing a better tomorrow, read on. About the Role To support on being the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives. To be part of the data science team to deliver analytical work with business execution that contribute to business growth, customer experience, productivity and optimizes efficiencies. Create valuable best practices that can be replicated in other markets. To produce best practice analytics solutions to support business decisions with measurable success to drive business growth and effectiveness. To deliver the analytics workplan with the Insights team and business users to ensure delivery of brilliant analytics work that meets the business pace. Job Description: To create and execute the data science approach to support the long term and short term business needs, which will drive tangible business outcome. Partnering with the Insights team to ensure delivery of analytics workplan in a timely manner with brilliant quality work. This role requires candidates to have a hands-on approach and be the analytics technical expert who uses large data sets and strong in applying varieties of machine learning methodology / algorithms with different data tools in developing the models, running simulations & optimization. Being an analytics consultant for the business stakeholders and able to coach team members to recommend and deliver the creative analytics solutions for continuous improvements and solving business questions. Implement and manage a high standard of procedural documentation. Research and experiment with creative and advanced machine learning techniques and tools. Drive the collection of new data and refinement of existing data sources. Job Requirements: Bachelor's Degree / Masters in any relevant field of study is required. 5 years’+ data science

related experience. Advance level in programming-based analytics with experience in two or more of the following languages: SQL /

R /

Python Proven experience in

building statistical models, segmentations, predictive and propensity models

(e.g. clustering, predictive models, neural network, scenario analysis, conceptual modelling, hypothesis testing). Good understanding of design and machine learning algorithm principles. Good understanding of machine learning model management principles and practices. Able to work in a fast-paced, multidisciplinary and competitive environment. Strong analytical skills, deductive reasoning, problem solving and critical thinking skills. Able to collaborate with other teams to drive positive outcomes. Strong business acumen and project management skills with ability to manage multiple priorities. Added bonus if candidate has experiences over Big Data platform (especially unstructured data) and deep learning. Strong sense of urgency and accountability to drive business outcomes. Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives. You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

#J-18808-Ljbffr

Oversee the analytics team to deliver actionable insights for business improvement. Develop and implement analytics strategies to enhance decision-making processes. Collaborate with cross-functional teams to identify data-driven opportunities. Ensure data accuracy and integrity in reporting and analysis. Monitor and analyze key performance metrics to evaluate business outcomes. Lead the adoption of advanced analytics tools and methodologies. Provide guidance and mentorship to team members to foster professional growth. Prepare and present high-level reports to senior management. The Successful Applicant A successful Senior Manager in Analytics should have: A degree in Analytics, Data Science, Business, or a related field. Proven expertise in data analytics and business intelligence tools. Strong leadership and team management skills. Excellent problem-solving and critical-thinking abilities. Experience in translating data into actionable insights and strategies. Strong communication skills to interact with stakeholders effectively. What's on Offer

Competitive salary of MYR 180,000 to MYR 240,000 annually. Attractive benefits, including a 3-month performance bonus and a 15% EPF contribution. Supportive and collaborative work environment in Kuala Lumpur. Exposure to advanced analytics tools and methodologies.

This is an excellent opportunity for ambitious professionals to make a significant impact in the Data Science space. Apply now to take your career to the next level! ContactJ-Shan LokeQuote job refJN-072025-6786411Phone number60123262534 #J-18808-Ljbffr

• Analyze business data to interpret business reports, trends and provide suggestions for Management and Head of Department (HOD)
• Drive data remediation projects with existing team.
• Using data driven approach to identify business drivers which can lead to revenue growth and increased profitability.
• Develop visualization and presentation for dissemination of analytical results and derivation of actionable insights.
• Define and optimize marketing automation strategy and build customer segments to facilitate marketing targeting.
• Perform root cause analysis, fix data quality issues and provide ongoing reports.
• Create and maintain optimal data pipeline architecture including assembling large complex data sets to be ready for data analytics.
• Manage database and CRM data, solving any problem during analysis and implementation with Japan Headquarter and HOD.
• Communicate report findings/business insights to business stakeholders through meaningful dashboard/data visualization tools.
• Coordinate with different functional teams to implement models, while monitoring and analyzing model performance and data accuracy.
• Work collaboratively with key departments and Manager in delivering high quality analytics support to management and other stakeholders using statistical and analytical skills and tools.
• Ensure initiatives are aligned with policies and standard operating protocols.

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Responsibilities

As a Data Analysis Specialist I you will responsible for projects and acts as a liaison between the Business and the application development teams. She/He contributes to the different phases of the application life cycle, such as data modeling, maintenance, support and enhancements. Moreover, the Data Analyst responsibilities consist of:

• Identifying and analyzing business needs
• Conducting requirements gathering, and defining scope and objectives
• Making recommendations for solutions or improvements to business processes that can be accomplished through new technology or alternative uses of existing technology.
• Translating business requirements into application requirements
  
  

Key Responsibilities

Business Skills

• Ability to rapidly assimilate information and processes related to one or several tracks within the Data & Analytics
• Capacity to understand, analyze and depict high level architecture or solutions to turn data to insight.
• Knowledge and experience in gathering requirements, functional design, testing and working with business processes.
• Understanding of how IT affects an organization and ability to link it to redesigned business processes.
  
  

Technical Skills

• Utilize data analysis tools and programming languages (e.g., SQL) to manipulate and analyze data.
• Develop and maintain dashboards, reports, and data visualizations.
  
  

Project Management Skills

• Assist in project planning and coordination for data analysis initiatives.
• Track and report on project progress, ensuring that timelines and objectives are met.
  
  

Interpersonal Skills

Data Analyst, Analyst II is an individual contributor is responsible for tasks within a specific domain, focusing on their individual work:

• Networks with other PPG Analysts to understand how IT solutions are deployed in other areas to solve business problems.
• Foster and maintain good relationships with customers and IT colleagues to meet expected customer service levels.
• Share responsibility with other team members to ensure on-time product delivery, which require a clear understanding of expectations and capabilities as well as the ability to act effectively as a team member.
  
  

Qualifications

• Bachelor's Degree, Post Graduate Diploma, Professional Degree, Computer Science/Information Technology or equivalent.
• 0-2 years of IT or a related discipline experience. Outstanding fresh graduates are welcome.
• Analytical and conceptual skills
• Strong oral and written communication skills, including technical writing.
• Must have a strong systems and process orientation.
• Must be comfortable working remotely and lack of face-to-face time with colleagues and managers.
  
  

PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply.

Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

About Us

Here at PPG we make it happen, and we seek candidates of the highest integrity and professionalism who share our values, with the commitment and drive to strive today to do better than yesterday – everyday.

PPG: WE PROTECT AND BEAUTIFY THE WORLD

Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit and follow @ PPG on Twitter.

The PPG Way

Every Single Day At PPG

We partner with customers to create mutual value.

We are “One PPG” to the world.

We trust our people every day, in every way.

We make it happen.

We run it like we own it.

We do better today than yesterday – everyday.

PPG provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, sexual orientation, gender identity or expression. If you need assistance to complete your application due to a disability, please email

PPG values your feedback on our recruiting process. We encourage you to visit Glassdoor.com and provide feedback on the process, so that we can do better today than yesterday.

Benefits will be discussed with you by your recruiter during the hiring process. #J-18808-Ljbffr