Total 25 Data Entry Clerk job vacancies in Kuala Lumpur KUL

JOB SUMMARY:

• Responsible for supporting & analyzing customer data from various databases across ASEAN
• Expected to write SQL / Python code to extract data from various databases, cleanse, validate, consolidate, and visualize data

 

PRINCIPAL DUTIES AND RESPONSIBILITIES:

• Work with Marketing, Operation, and Technology to source the necessary data and understand the data
• Manage master data, including creation, updates, import, and export
• Review and validate a wide range of SQL-based data across different databases and systems
• Define data performance, lifecycle and quality metrics and ensuring compliance with data related policies and standards
• Ensure data quality issues are logged, tracked, and remedied in a timely and effective manner
• Engage and execute the dashboards on Tableau / PowerBI, or similar visualization tools
• Perform ad-hoc data analysis and present results in a clear manner

4e Exchange, a leading financial derivatives trading platform, is seeking a Senior Data Analyst to join our team. As a global leader in the financial services industry, 4e Exchange offers a wide range of financial trading services and products, with a team of experienced professionals supported by advanced technology. The Senior Data Analyst will be responsible for analyzing and interpreting complex data to inform company decisions, as well as identifying trends and opportunities for growth. The ideal candidate will have a strong background in data analytics and financial services, with the ability to communicate insights to various stakeholders.

Responsibilities

• Collect, analyze, and interpret large sets of financial and user data
• Generate reports and presentations to communicate insights and recommendations to management
• Identify trends, patterns, and opportunities for growth within the company's data
• Collaborate with cross-functional teams to support and guide effective decision making
• Develop and maintain data models and databases
• Maintain and update data visualizations and dashboards
• Continuously identify areas for improvement and efficiency in data analysis processes

• Bachelor's or Master's degree in Data Science, Mathematics, Statistics, Finance, or related field
• 5+ years of experience in data analysis, preferably in financial services or trading
• Proficiency in coding languages such as SQL/Excel, Python, R etc.
• Strong analytical and problem-solving skills, with a focus on attention to detail
• Excellent communication and collaboration skills
• Familiar with A/B test design and analysis
• Ability to manage multiple tasks and projects at once while meeting deadlines.

• Experience in building cloud data pipelines and data warehousing within a cloud data warehouse.
• Experience or Exposure in Mortgage, Financial Institution or Banking is Mandatory
• Can effectively communicate in Bahasa language.
• Proficient in ETL tools such as Azure Data Factory, Azure Databricks, DBT is required.
• Experience in reporting tools, Tableau, Power Bi
• Good to have: Understanding of statistical modelling, machine learning, or data mining, text mining concepts and a track record of solving problems with these methods.
• Conducting full lifecycle analysis to include requirements, activities and design.
• Data analysts will develop analysis and reporting capabilities.
• Interpret data, analyze results using statistical techniques and provide ongoing reports.

• Leading, executing, and delivering data science projects for clients in Thailand.
• Developing detailed project scopes and methodologies, designing, and implementing solutions using appropriate tools and techniques.
• Building strong relationships with Visa partners, clients, and corresponding data science & analytics teams, driving collaboration, and ensuring the implementation of Visa's recommendations.
• Maintaining quality control and up-to-date documentation for all data science projects.
• Innovating by utilizing Visa's data, client data, and non-traditional data sources to meet client needs.
• Enhancing existing data science and analytic techniques by promoting new methodologies and best practices.
• Fostering thought leadership in the data science domain and building intellectual property through innovation.
• Managing communication with clients and stakeholders effectively.
• Mentoring, guiding, and supervising data scientists in the project team.
• Delivering analytics projects from inception to completion, providing actionable insights and recommendations.
• Identifying opportunities for innovation using non-traditional data and new modeling techniques.
• Managing internal and external stakeholders.
• Supervising data scientists reporting to this role.
• Developing data-driven solutions using Visa data.
• Building data science visualization capabilities to address client problems.
• Driving innovation using data science techniques.
• Advocating for data science within partner organizations, advising and coaching analytical teams, and sharing best practices and case studies.
• Continually assessing the environment to challenge assumptions about data sources, potential analytics partners, tools, talent, and infrastructure.
• Exploring and adopting leading methodologies and best practices from other international markets.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Manage and deliver analytics benchmarking reports from conception to completion with actionable insights and recommendations.

High interaction with external clients and manage internal and external stakeholders.

Define detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques

Work with the broader Visa data science team to create data driven solutions.

Focus on building data science visualization capabilities to solve client's problems.

Drive innovation through using data science techniques

Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.

Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.

Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets

 

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

About Kasagi:

Join Kasagi Labo, a creator-centric platform revolutionizing global anime production and distribution.  We are building a technology platform that utilizes Generative AI, Machine Learning, and Blockchain to enable billions of fans to continuously discover the anime they love, connect with creators, and with each other, and ultimately purchase high-end, authentic merchandise.  

About the Role:

Kasagi Labo is seeking a Data Engineer to join our forward-thinking team in Kuala Lumpur. You will be responsible for the overall development life-cycle and delivery of a cloud-native, multi-tenant content delivery and social networking platform. This role is ideal for experienced individuals who are ready to take on more technical responsibilities and contribute to the data infrastructure of our cutting-edge technology platform.

What you can expect to work on:

• Lead the design, implementation, and maintenance of scalable data pipelines and ETL processes to support data ingestion, transformation, and storage.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions that address data needs.
• Architect and optimize data models and databases, to ensure reliability, performance, and scalability.
• Develop and maintain robust data infrastructure, including modern S3 data lake solutions
• Implement best practices for data quality, and data security to ensure compliance and integrity of data assets.

• Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred.
• 3-5 years of hands-on experience in data engineering, with a strong focus on building and maintaining data pipelines and infrastructure.
• Expertise in big data technologies and distributed computing frameworks (e.g.,, Spark, Kafka, Cloud equivalent/EMR Glue) for processing large-scale datasets.
• High proficiency in SQL and SparkSQL and experience working with relational databases (e.g., SparkSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Strong programming skills in languages such as Python, Java, or Scala, for data manipulation, scripting, and automation.
• Excellent problem-solving and analytical skills, with a keen attention to detail and a focus on delivering high-quality solutions.
• Effective communication and collaboration skills, with the ability to articulate technical concepts to non-technical stakeholders.
• Experience with implementing an internal customer-facing self service analytics function is a plus

• We Listen. Your voice, ideas, and suggestions matters to us, as we continuously evolve
• Our People. You’ll be working with a diverse, multicultural, international, talented, fun, supportive, and innovative people and teams. We are people you can be proud to work with
• On The Edge of Innovation. Working on the latest technological, social and entertainment trends.
• Flat Organisation. Our team is a community, we work together as a team from all levels in a true decentralised spirit

To independently develop interactive dashboard using Power BI based on requirement and information provided by client.

• Develop dashboards and reports leveraging Power BI
• Design interactive and engaging data visualizations to communicate insights
• Implement self-service business intelligence capabilities for users across departments / clients
• Work closely with end users and stakeholders to understand their needs and requirements
• Conduct ad-hoc queries, analyse datasets and identify trends and patterns
• Maintain and optimize existing dashboard solutions
• Stay current with industry trends and best practices around data visualization
• Collaborate with cross-functional teams to build robust data systems and processes

Administer, maintain and support MFM Group of Companies Servers, IT related computer hardware & software, network infrastructure & its connectivity to ensure smooth operation.

Responsibilities: 

• Ensure efficiency in PC software, hardware support and high availability of network infrastructure for WAN (broadband) and LAN, wired and wireless communication within the Group of Companies.

• Proactively monitor, identify and resolve technical problems, network infrastructure, configure and administer IT related hardware/software problems to meet users’ expectations within a stipulated time.

• Maintain all IT related inventory and software licensing control.

• Generate / maintain appropriate technical documentation, system manuals, workflow processes, procedures and guidelines.

• Evaluate and recommend IT related hardware and software solution.

• Supervise and work with vendors to ensure projects/tasks are implemented as per specification and on time.

• Ability to integrate various hardware platforms, whenever necessary in different topology.

• Assist in every related area of network infrastructure and IT related hardware/software whenever required to ensure the continuous smooth running of the operation.

• To perform any other tasks or assignments as directed by the management from time to time

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 build and implement the data science approach and road map to support long-term and short-term business needs.

• Tailor made business reports, statistics & segmentations for different reporting requirements in a timely manner with brilliant quality work.
• Ensure timely & accurate portfolio reporting, management and regulatory reports update to support management and business performance.
• Work out detailed requirements and layout design together with respective subject matter experts for IT assessment to automate the reports.
• Assist sales team to improve efficiency by giving informative statistic for business decision and monitoring.
• Build insights across agency business to drive long-term process or operational changes required for business improvement.

Job Requirements:

• Bachelor's Degree from any fields of study from a recognized University.
• 2 years or working experience in Analytics or Strategy will be favourable.
• Proficient in Microsoft Office Software (Word, Excel, PowerPoint).
• Able to work independently with minimal guidance and monitoring to meet tight reporting deadlines.
• Analytical and proactive.
• Proficient in programming based analytics software e.g. SAS, SQL, Power BI.
• Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.
• Able to collaborate with other teams to drive positive outcomes.

#LI-DNI

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.

We are seeking a diligent and detail-oriented Location Confirmation Specialist to join our team. In this role, you will be responsible for confirming the location of various buildings in the city center using a smartphone camera and our proprietary app. Your primary task will be to capture and upload photos of a significant number of buildings, ensuring accurate documentation of their locations.

• Collect Name, Position (lat/lon or geotag), Attributes (TBD)
• Collect address number and its position (geotag)
• Collection (surveying) street level imagery. Just driving selected areas in a city and shooting with a smartphone (or a dedicated camera) mounted in-car
• Collection of street level images. Easily move around selected areas of the city and take pictures with your smartphone

 

 

 

 

 

• How to collect - by walk, bike, car, etc. - of your choice, by your car (gas will be compensated additionally)
• Smartphone, internet connection
• English Intermediate
• Common computer literacy

 

• Flexible schedule
• Payment for fuel
• Ready to take on a student
• Can be combined with main job
• Competitive salary