117 Feature Engineering jobs in Kuala Lumpur

Job Overview:

We are looking for a proactive Data Analysis/Data Science Intern to join our team. This role combines data analysis with server and system application responsibilities. The intern will set up a data warehouse, install and configure reporting solution for reporting dashboards, and assist in managing server-side applications to support data workflows. This is a unique opportunity to develop skills in both data science and system administration while contributing to impactful projects.

Work-Life:

• Conduct data analysis to extract insights from structured and unstructured datasets.
• Design and set up a data warehouse to centralize company data for efficient storage and retrieval.
• Install, configure, and maintain reporting solution on a server to enable report dashboard creation.
• Develop interactive dashboards and reports using reporting solution to meet business needs.
• Perform server-side tasks, including installing and managing system applications required for data processing and reporting.
• Ensure system performance and troubleshoot issues.
• Clean and preprocess data to ensure accuracy and consistency for analysis and reporting.
• Document data workflows, server configurations, and application setup processes.
• Collaborate with team members to support ad-hoc data analysis and system-related requests.

Requirements:

• Currently pursuing a degree in Data Science, Computer Science, Information Technology, or a related field.
• Basic knowledge of data analysis techniques and tools (e.g., SQL, Python, or R).
• Familiarity with server setup, system administration, or application installation (e.g., Linux basics, server management).
• Interest in or experience with data warehousing and ETL processes.
• Willingness to learn and configure open-source tools like Apache Superset.
• Strong problem-solving skills and a proactive approach to technical challenges.
• Ability to work independently and as part of a team.
• Good communication skills to document processes and present insights.
• Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI).
• Knowledge of server environments (e.g., Linux, Windows Server) and basic networking concepts.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud) for hosting data or applications.
• Exposure to scripting for automation (e.g., Bash, Python).
• Understanding of database management systems (e.g., MySQL, PostgreSQL).

What You'll Gain

• Practical experience in data analysis and creating actionable reports.
• Hands-on skills in setting up and managing a data warehouse and server applications.
• Mentorship from experts in data science and system administration.
• A chance to build a strong foundation in both analytical and technical domains.

About the Role

We are looking for a Data Analysis Engineer for one of the Top Tech Companies to support international mobile gaming business. You'll work on security strategy, player behavior analysis, and big data processing to deliver insights that drive better decisions and game operations.

Job Responsibilities

1. Analyze and process large-scale game data (Python/SQL)

2. Support security strategy and video/user behavior analysis

3. Provide data insights for business and operations teams

4. Collaborate across teams to solve problems and improve efficiency

What We're Looking For

Job requirements:

1. Bachelor degree or above in computer science or related major, at least 1 year related working experience;

2. Proficiency in at least one development language (lua/python/c++, etc.), and familiarity with lua is preferred;

3. Experience in using linux, proficient in using python and sql for big data analysis and processing;

4. Solid basic computer knowledge, good coding ability, good problem location, analysis and solution ability.

5. Strong sense of responsibility, strong logical thinking ability, communication ability and pressure resistance ability;

6. Experience with FPS games such as "CODM" or "PUBGM", high-ranking players are preferred.

Office is located in the CBD area (Menara 1 Sentrum), offering a modern and vibrant working environment. You'll have the opportunity to collaborate with top IT talents from around the world while working at the forefront of cutting-edge technology.

Job Scope:

• Collect and compile data from various sources, ensuring data accuracy and integrity.
• Prepare and analyze periodical (weekly, monthly, quarterly, etc.) sales reports.
• Support others with related to information required for reporting or analysis work.
• Perform ad hoc duties as assigned by management from time to time

Requirement:-

• Candidate must possess a Diploma or Bachelor's degree in Business Management/Statistics or equivalent.
• Excellent written and verbal communication in English, Bahasa Malaysia, and Chinese.
• Fluency in Microsoft Office, especially in Excel
• Strong sense of responsibility, able to work efficiently and effectively under a fast-paced environment and tight deadlines.
• Able to work independently and maintain confidentiality
• The internship duration is a minimum of 3 months.
• Working Location : KL
• Monthly allowance: RM

Job Type: Internship

Contract length: 3 months

Pay: RM1,200.00 per month

Application Question(s):

• Your internship Period (start & end date)

Work Location: In person

Key Responsibilities:

• Utilize automated tools to extract data from primary and secondary sources efficiently.

• Identify and rectify coding errors and corrupted data to ensure data accuracy and reliability.

• Develop and maintain databases and data systems, reorganizing data into a readable format for analysis.

• Perform in-depth analysis to assess the quality and significance of data, identifying patterns and trends.

• Filter data by reviewing reports and performance indicators to identify and correct code problems.

• Utilize statistical tools to identify, analyze, and interpret patterns and trends in complex data sets, facilitating diagnosis and prediction.

• Assign numerical value to essential business functions for assessing and comparing business performance over time.

• Analyze local, national, and global trends impacting the organization and the industry.

• Prepare comprehensive reports for management, stating trends, patterns, and predictions using relevant data.

• Present final analysis reports to stakeholders, enabling them to make informed decisions based on various facts and trends.

Qualifications:

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field.

• Proven experience in data analysis, preferably in a managerial role.

• Proficiency in data extraction tools and database management systems.

• Strong analytical and problem-solving skills, with the ability to interpret complex data sets.

• Familiarity with statistical tools and techniques for data analysis and interpretation.

• Excellent communication and presentation skills, with the ability to convey complex information effectively.

• Ability to work collaboratively in a team environment and manage multiple projects simultaneously.

• Attention to detail and accuracy in data analysis and reporting.

If you have a passion for data analysis and leadership, and you are eager to contribute to CHAGEE's data-driven decision-making processes, we encourage you to apply for this position. Join us in leveraging data insights to drive business success and innovation.

JOB PURPOSE

Drive data analytics strategy to create opportunities for growth and improvements as well as ensuring long term business sustainability. Develop data-backed business strategies and support the business teams in executing the strategies.

PRINCIPAL ACCOUNTABILITIES

• Achieve cost savings by automating dashboard and reports in-house. Reduce reliance on vendor for reports automation which incur project / enhancement costs
• Identify income streams or business opportunities by developing business strategies through application of data analytics.
• Liaise with business users and stakeholders to identify business problems and develop solutions aligned with business objectives.
• Work alongside senior leaders across retail, corporate and support divisions to identify opportunities to apply data and advanced analytics to support critical business decision.
• Providing and presenting strategic data-driven recommendations across channels to improve business decision-making.
• Active engagement and collaboration with NGOs, Societies and Industry players to promote Bank's products and services to the community involved in agricultural activities.
• Ensure emphasis of Environmental, Social and Governance (ESG) by large corporates is aligned with applicable government agencies and are focused on revitalizing the agricultural sector.
• Support Head of Department in developing data warehouse and BI technology vision, roadmaps, and blueprints.
• Lead ad-hoc cross functional data analytics project, as and when required.
• Manage a team of data analyst and data engineers in delivering quality, accurate and timely periodic and ad-hoc management reports, dashboards, and analysis.
• Lead analytics framework development and strengthen the use of analytics across the organization, plan, execute and manage Analytics and Business Intelligence projects.
• Analyse large and complex sets of data/ information and drive fact-based decision making at all levels.
• Exercise sound judgement while analysing and interpreting data to ensure a high level of data integrity, accuracy, and timeliness in reporting
• Ensure discipline in documentation of assumptions, observations, and findings.
• Prepare and present findings to senior management in a logical, concise, and articulate manner.
• Develop and establish key metrics for business performance evaluation.
• Guide and coach the team on analytic capability and technical skills
• Attend to ad-hoc request from management

QUALIFICATIONS

• Minimum 10 years of working experience in data analysis, business analyst or management reporting role of which 5 years in managerial role.
• Prior experience in DFI, commercial bank or other financial institutions is preferred.
• Preferably with a degree in Banking, Finance, Accounting, Data Analytics, Computer Science, Information Management, IT, Applied Statistics, or any related discipline.
• Possess a Professional Certification eg., C.A. (MIA)/ ACCA/ CPA/ CIA/ CIAFIN/ CFE/ CCP/ CIFP is an added advantage
• Excellent written and communication skills, as well as interpersonal skills.

KNOWLEDGE AND SKILLS

• Passion and strong technical competency in quantitative methods and/or business analytics;
• Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management;
• Able to manage diverse relationships;
• Ability to lead, multi-task and manage changing priorities effectively;
• Willingness to learn, accept new challenges and go extra mile;
• Self-motivated, resourceful, and enjoy sharing knowledge with team members;
• Proactive, result oriented and takes pride in their quality of work;
• Enjoys working cross-functionally with any business units;
• Advance in Microsoft Office (MS Words, MS Excel and MS Power Point);
• Experience in using statistical tools for analysing datasets (SPSS, SAS, PowerBI etc);
• Good analytical, interpersonal, communication and writing skills;
• Fluent in Bahasa Malaysia and English verbally and in report writing;

• Possess a high level of integrity and able to work as a team; and

• Strong administrative and management skills.

Associate, Integrated Operations (Data Analysis)

Lazada, Kuala Lumpur, Malaysia

The Integrated Operations Team is responsible for the strategic planning, execution, and continuous improvement of our core seller programs. The team owns the commercial team’s quarterly target setting and performance management processes, and administers incentive computations. It also operates the Commercial Academy to design and deploy soft- and hard-skill training programs to enhance workforce capabilities.

• Analyze and enhance business strategies using data, optimizing resources across teams such as sales operations and seller programmes.
• Lead the commercial target-setting process to guide business growth; create and maintain dashboards to track key performance indicators.
• Collaborate with Business Intelligence and Data Product teams to ensure data accuracy and actionability for key stakeholders.
• Identify trends and opportunities in seller program design for improvements and maintain governance of financial viability.
• Monitor seller performance and provide insights to refine seller programs; optimize KAM incentive distributions according to efficient target setting processes.
• Conduct targeted analyses to solve business challenges and provide strategic, data-driven recommendations on sales operations, incentives, and profitability models.
• Collaborate with Seller Engagement and Sales Operations teams to manage seller communications and inquiries.

• Bachelor’s Degree in Business Management or related field.
• 3–4 years of experience in Data Analytics, Business Intelligence, or commercial operations (e-commerce, consulting, or retail).
• Strong communication and interpersonal skills; works well in team environments.
• Quick learner who adapts to changing environments and priorities.
• Solid analytical abilities; proficiency in Excel; familiarity with SQL is a plus but not mandatory.
• Organized, detail-oriented, and self-motivated. Project management experience is a bonus.

• Seniority level: Associate
• Employment type: Full-time
• Job function: Analyst, General Business, and Strategy/Planning
• Industries: Internet Marketplace Platforms and Consumer Services

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About Setel:
The Future of Mobility

Introduced in July 2018, Setel is a mobile platform that aims to delight customers by innovating for better, inclusive mobility. Setel serves customers across Malaysia by powering one app as the constant companion to ease motorists' journey across fueling, parking, EV charging, motor insurance, road tax, auto assistance, general purchases, and more across an ecosystem of PETRONAS petrol stations, retail partners, and online merchants.

In this role you will:

• Produce, enhance, and maintain recurring reports and dashboards
• Analyze transactional data and develop automated queries based on required business logic
• Provide campaign data analysis and operational support for Marketing, Product, and Operations Teams
• Develop and execute ad-hoc queries and analyses required by business stakeholders
• Maintain and update documentation to ensure reproducibility and transparency
• Contribute fresh perspectives, identify areas for improvement, and address gaps in data team processes
• Assist with any related tasks, projects, and other assigned duties as and when deemed necessary.
• Ensure adherence to the compliance of company policies, industry regulations and legal requirements.

You're a great fit if you have/are:

• Currently pursuing or recently completed a bachelor's degree in related field or similar quantitative discipline (e.g. Computer Science, Data Science, Statistics, Mathematics, etc.)
• Can join us in Oct 2025 and stay for 4-6 months
• Proficient in data analysis tools like Excel or SQL
• Strong problem-solving skills with attention to detail
• Ability to interpret data and derive actionable insights
• Collaborative team player with a willingness to learn from others
• Meticulous in ensuring data accuracy and reliability
• Effective communicator, capable of presenting complex data clearly
• Eager to learn new tools and able to prioritize workload effectively
• Ability to handle sensitive information with confidentiality.
• Excellent communication and interpersonal skills.

What Makes Working With Us Awesome

• Our people and culture: You will get to work with awesome and friendly colleagues to whom you can expect to collaborate well to deliver your work. Empowerment is given and you will get a lot of opportunities for peer-learning.
• Availability of tools and applications: You will be provided with different tools to facilitate your work. Automate your work whenever possible so that you can focus on delivering impact for your role.
• Development focused: Your learning and growth matters most for us. We are people centric and always ready to help our people to define what they want to make an impact on and craft their learning plan accordingly.

Cool Perks/ Benefits

• Our office elevates our values on the importance of collaboration & engagement. We want our work to be fun and to support this, we have spacious collaboration spaces, a well-stocked kitchen and gaming area.
• Hybrid work arrangement.
• Exciting sport and engagement activities to strengthen employee bonding.

Personal Data Protection
Setel Ventures Sdn Bhd ("Setel", "we", "our" "us") is committed to protecting and respecting your privacy. This Setel privacy statement ("Privacy Statement") explains what personal data we collect about you, when and why we collect it, how we use it, the conditions under which we may disclose it to others, your rights to your personal data and how we keep it secure. This Privacy Statement covers both our online and offline collection activities, including personal data that we collect through online platforms such as websites, applications, third party social networks or our online and physical events, or through other third parties that we work with. Please read this carefully to understand our views and practices regarding your personal data.

Role Overview

We are seeking a highly motivated and analytical Manager to oversee two critical areas: data analysis and SOP management & improvement. This role will drive operational excellence by analyzing retail performance data, identifying trends, and ensuring continuous improvement in standard operating procedures (SOPs) across the business.

Key Responsibilities

• Lead and manage the Data Analysis and SOP teams, providing direction and support.
• Analyze sales and operational data to generate insights and support business decision-making.
• Review, develop, and improve SOPs to enhance efficiency, compliance, and service quality.
• Collaborate with cross-functional teams (operations, merchandising, finance) to ensure SOPs are practical and aligned with business goals.
• Identify process gaps and recommend improvements to streamline retail operations.
• Drive change management and training programs related to new or revised SOPs.
• Stay updated on retail industry best practices and implement relevant improvements.

Requirements

• Bachelor's degree in Business Administration, Data Analytics, Operations Management, or related field.
• Minimum 10 years of working experience, with at least 3 years in a managerial role.
• Strong background in data analysis, reporting, and process improvement.
• Experience in the retail industry is highly preferred.
• Proficient in Microsoft Excel, Power BI/Tableau, or similar analytical tools.
• Excellent communication, problem-solving, and project management skills.
• Ability to lead and motivate a team to achieve performance goals.

Job Type: Full-time

Pay: RM8, RM10,617.68 per month

Benefits:

• Free parking
• Health insurance
• Professional development

Application Question(s):

• What data tools (Excel, Power BI, etc.) have you used?
• Do you have experience in reviewing and improving SOPs or workflows? (Yes/No)
• Have you managed a team before? How many people?

Work Location: In person