250 Data Analytics jobs in Kuala Lumpur

About JD STAR Graduate Program The JD STAR Program, launched by in 2015, is an annual recruitment initiative targeting fresh graduates from top universities worldwide. This program aims to nurture talent by placing high-potential graduates in roles that support 's fast growing business and empowering them through extensive training and coaching. As a dedicated career development platform for sustained growth, it is tailored for graduates seeking professional advancement and career achievements. Job Responsibilities 1, Collect, clean, and analyze sales data from various sources (e.g., CRM systems, sales reports, market trends) to identify key performance indicators (KPIs) such as sales volume, revenue, conversion rates, and regional performance. 2, Generate regular sales reports and dashboards for management, highlighting trends, discrepancies, and opportunities to optimize sales strategies. 3, Conduct in-depth analysis of sales performance against targets, including variance analysis, to explain gaps and recommend actionable improvements. 4, Collaborate with sales teams to understand their needs, provide data-driven insights, and support decision-making for territory planning, resource allocation, and campaign effectiveness. 5, Evaluate the performance of sales initiatives, promotions, and product lines, assessing their impact on overall sales and profitability. 6, Forecast future sales trends using historical data and statistical models, helping the team set realistic targets and adjust plans proactively. 7, Identify inefficiencies in sales processes through data analysis and propose solutions to enhance productivity and sales outcomes. Job Requirements 1, Bachelor's degree in business analytics, statistics, finance, marketing, or a related field; 2, Strong understanding of sales KPIs, sales processes, and business metrics (e.g., revenue, conversion rates, market share). 3, Excellent analytical and problem-solving skills, with the ability to collect, clean, and interpret large datasets to identify trends and variances. 4, Familiarity with statistical analysis and forecasting methods to support sales planning and target setting. 5, Strong communication skills, with the ability to present complex data findings clearly to non-technical stakeholders (e.g., sales teams, management). 6, Detail-oriented mindset with a focus on accuracy in data reporting and analysis. 7, Ability to work collaboratively in cross-functional teams and manage multiple priorities in a fast-paced environment. 8, Chinese and English language skills are a plus.

(NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Ranked 47th on the Fortune Global 500, is China's largest retailer by revenue. In 2023, reported revenues of US$152.8 billion and served approximately 600 million active customers.

We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, continues to expand in markets where our competitive strengths shine. Currently, operates globally, with business activities in countries such as China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, and many others, reaching customers in every corner of the world.

JD Logistics (also known as JINGDONG Logistics), publicly on the Hong Kong Stock Exchange, which provides technology-driven supply chain and logistics solutions, with a market-leading infrastructure network across China. JD Logistics has also developed a robust global supply chain network with highly automated warehousing and reliable international transportation solutions. Currently, JD Logistics operates approximately 100 bonded, overseas, and direct mail warehouses across almost 1 million square meters. The company provide comprehensive logistics support to a diverse range of clients, including both international enterprises and Chinese brands expanding globally.

【Job Responsibilities】
【Job Requirements】
About JD STAR Graduate Program The JD STAR Program, launched by in 2015, is an annual recruitment initiative targeting fresh graduates from top universities worldwide. This program aims to nurture talent by placing high-potential graduates in roles that support 's fast growing business and empowering them through extensive training and coaching. As a dedicated career development platform for sustained growth, it is tailored for graduates seeking professional advancement and career achievements. Job Responsibilities 1, Collect, clean, and analyze sales data from various sources (e.g., CRM systems, sales reports, market trends) to identify key performance indicators (KPIs) such as sales volume, revenue, conversion rates, and regional performance. 2, Generate regular sales reports and dashboards for management, highlighting trends, discrepancies, and opportunities to optimize sales strategies. 3, Conduct in-depth analysis of sales performance against targets, including variance analysis, to explain gaps and recommend actionable improvements. 4, Collaborate with sales teams to understand their needs, provide data-driven insights, and support decision-making for territory planning, resource allocation, and campaign effectiveness. 5, Evaluate the performance of sales initiatives, promotions, and product lines, assessing their impact on overall sales and profitability. 6, Forecast future sales trends using historical data and statistical models, helping the team set realistic targets and adjust plans proactively. 7, Identify inefficiencies in sales processes through data analysis and propose solutions to enhance productivity and sales outcomes. Job Requirements 1, Bachelor's degree in business analytics, statistics, finance, marketing, or a related field; 2, Strong understanding of sales KPIs, sales processes, and business metrics (e.g., revenue, conversion rates, market share). 3, Excellent analytical and problem-solving skills, with the ability to collect, clean, and interpret large datasets to identify trends and variances. 4, Familiarity with statistical analysis and forecasting methods to support sales planning and target setting. 5, Strong communication skills, with the ability to present complex data findings clearly to non-technical stakeholders (e.g., sales teams, management). 6, Detail-oriented mindset with a focus on accuracy in data reporting and analysis. 7, Ability to work collaboratively in cross-functional teams and manage multiple priorities in a fast-paced environment. 8, Chinese and English language skills are a plus.

【About 】
(NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Ranked 47th on the Fortune Global 500, is China's largest retailer by revenue. In 2023, reported revenues of US$152.8 billion and served approximately 600 million active customers.

【Our International Business】
We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, continues to expand in markets where our competitive strengths shine. Currently, operates globally, with business activities in countries such as China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, and many others, reaching customers in every corner of the world.

【International Logistics】
JD Logistics (also known as JINGDONG Logistics), publicly on the Hong Kong Stock Exchange, which provides technology-driven supply chain and logistics solutions, with a market-leading infrastructure network across China. JD Logistics has also developed a robust global supply chain network with highly automated warehousing and reliable international transportation solutions. Currently, JD Logistics operates approximately 100 bonded, overseas, and direct mail warehouses across almost 1 million square meters. The company provide comprehensive logistics support to a diverse range of clients, including both international enterprises and Chinese brands expanding globally.

About JD Young Internship The JD Young Internship Program aims to cultivate young talent by providing opportunities to enhance their professional skills and accelerate their growth. It is also designed to identify high-potential candidates suited for the JD Star Program. Job Responsibilities 1.Collect, clean, and analyze sales data from various sources (e.g., CRM systems, sales reports, market trends) to identify key performance indicators (KPIs) such as sales volume, revenue, conversion rates, and regional performance. 2.Monthly expense provision and bill of lading, such as special service fees for financial and tax laws and workplace rental bills of lading; 3. Online billing failure monitoring, follow up on processing results; 4. Other office administrative and support work; Job Requirements 1, Bachelor's degree in business analytics, statistics, finance, marketing, or a related field; 2,, Excellent analytical and problem-solving skills, with the ability to collect, clean, and interpret large datasets to identify trends and variances. 3, Familiarity with statistical analysis and forecasting methods to support sales planning and target setting. 4, Strong communication skills, with the ability to present complex data findings clearly to non-technical stakeholders (e.g., sales teams, management). 5, Ability to work collaboratively in cross-functional teams and manage multiple priorities in a fast-paced environment. 6, Chinese and English language skills are a plus

(NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Ranked 47th on the Fortune Global 500, is China's largest retailer by revenue. In 2023, reported revenues of US$152.8 billion and served approximately 600 million active customers.

We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, continues to expand in markets where our competitive strengths shine. Currently, operates globally, with business activities in countries such as China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, and many others, reaching customers in every corner of the world.

JD Logistics (also known as JINGDONG Logistics), publicly on the Hong Kong Stock Exchange, which provides technology-driven supply chain and logistics solutions, with a market-leading infrastructure network across China. JD Logistics has also developed a robust global supply chain network with highly automated warehousing and reliable international transportation solutions. Currently, JD Logistics operates approximately 100 bonded, overseas, and direct mail warehouses across almost 1 million square meters. The company provide comprehensive logistics support to a diverse range of clients, including both international enterprises and Chinese brands expanding globally.

About Us

Love, Bonito is a digital-first company on a mission to empower the everyday Asian woman and inspire self-confidence. We are Southeast Asia's leading womenswear brand, headquartered in Singapore, with an omnichannel presence across Hong Kong SAR China, Indonesia, Malaysia and a retail franchise in Cambodia. In addition, we have also expanded into international markets namely the Philippines and the United States of America.

Founded in 2010, we are proudly female-founded with more than 65% female representation in leadership roles (#girlpower). We raised a US$50M Series C round in 2021 and know that we're on the cusp of something great, where we're working towards becoming the most thoughtful brand globally, for the Asian female consumer, especially when it comes to our products, community and experiences.

There's a lot more work to be done with all of our exciting plans. So we're looking to team up with people who are wildly passionate about making an impact and be part of a dynamic team, in a workplace with no corporate BS (yes, you read that right).

Are you passionate about using data to solve real-world challenges?

About the Role

We are seeking a motivated and curious Data Analytics & Science Intern to join our dynamic team and contribute to exciting projects that directly impact our business. This internship is a fantastic opportunity to gain hands-on experience, learn from experienced professionals, and develop your skills in the in-demand field of data science.

About Our Projects

Our data analytics and science team tackles a variety of projects aimed at optimising our operations, enhancing customer experience, and driving business growth. Here are some of the projects you could be involved in:

• Model Optimization - Personalized Recommendations: Enhance our existing recommendation engine through advanced model fine-tuning and performance optimization. Focus on improving recommendation relevancy, computational efficiency, and real-time processing capabilities.
• Size Recommendation Enhancement: Fine-tune and optimize our current size recommendation model by incorporating new data sources, improving model architecture, and implementing sophisticated validation techniques to increase accuracy and user trust.
• Search API Development: Optimizing search functionality to enhance product discovery and improve customer experience through efficient search algorithms.
• Advanced Analytics: Conducting in-depth statistical analysis and developing data-driven solutions to optimize business operations and identify growth opportunities.
• Customer Segmentation: Analyzing customer behavior patterns and developing sophisticated segmentation models to enable targeted marketing strategies and personalized experiences.
• Sorting Algorithm Optimization: Developing and fine-tuning intelligent sorting algorithms to improve product discovery and category browsing, incorporating factors like popularity, relevance, and personalized user preferences.
• Dashboarding & Visualization: Maintain and create interactive dashboards using Tableau and Metabase to provide actionable insights and monitor key business metrics across different departments.

Requirements

Who We Are Looking For

• Data wizard with a fashion flair: Possess a strong foundation in Python, SQL, statistics and machine learning.
• Problem-solving aficionado: Ability to think critically, solve problems creatively, and communicate effectively with both technical and non-technical audiences.
• Team player with an independent spirit: Collaborate seamlessly while taking initiative and ownership of your projects

Advantageous to Have

• Experience working with Databricks, PySpark, TensorFlow/PyTorch, and data visualisation platforms like Tableau or Metabase is a plus
• Passionate learner: Eager to delve into the world of fashion e-commerce data and continuously hone your skills

Benefits

What You Will Gain

• Work on real-world projects that have a direct impact on the business.

• Gain hands-on experience with industry-standard data science tools and methodologies.

• Be mentored by experienced data professionals and learn from their expertise.

• Develop your professional network and build valuable connections within the industry

Data Analytics - Sales - MGR at OCBC

Join to apply for the Data Analytics - Sales - MGR role at OCBC .

Who We Are

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. Today, we’re on a journey of transformation, leveraging technology and creativity to become a future-ready learning organisation with a bold ambition to be Asia’s leading financial services partner for a sustainable future. We invite you to build the bank of the future, innovate the way we deliver financial services, and work in friendly, supportive teams.

Your Opportunity Starts Here. This is the broad job description of the job profile. Definitive job description should be reviewed and discussed between you and your manager.

• Analyze sales data to identify trends, opportunities, and challenges
• Develop data-driven insights to inform sales strategies and improve sales performance
• Collaborate with sales teams to understand their needs and develop targeted solutions
• Design and implement data visualizations to communicate insights to stakeholders
• Develop and maintain databases and data systems to support sales analytics

• A degree in a quantitative field such as mathematics, statistics, or computer science
• At least 3 years of experience in data analytics, preferably in a sales or marketing context
• Strong analytical and problem-solving skills with the ability to communicate complex data insights clearly
• Experience with data visualization tools such as Tableau or Power BI
• Strong collaboration and communication skills to work effectively with sales teams and other stakeholders

• Competitive base salary
• A suite of holistic, flexible benefits to suit every lifestyle
• Community initiatives
• Industry-leading learning and professional development opportunities
• Your wellbeing, growth and aspirations are cared for as the needs of our customers

• Mid-Senior level

• Full-time

• Sales and Business Development
• Industries: Banking

Note: This description retains the core responsibilities and qualifications from the original posting while removing duplicate boilerplate and formatting issues.

Overview

Our client is a multinational financial services firm, with a significant footprint. Based in either Nairobi or Kuala Lumpur, this role will play a critical role in supporting their internal audit activities by providing insights through the analysis and correlation of data extracted from various systems across the business. Through advanced data analytics techniques, the role will enable the audit team to identify control failures, assess risks, and provide independent assurance to senior leadership that risks are being managed effectively and remain within the organization’s approved risk appetite.

• Data profiling: Generating statistics to provide context and background on business processes.
• Reperformance testing: Re-performing calculations to validate transactions (e.g., payroll, claims), metrics from management information reports, and analytics models.
• Exception detection: Identifying instances where known restrictions, policies, or guidelines have not been followed.
• Anomaly detection: Detecting unusual or unexpected patterns of behaviour through data analysis.
• Root cause analysis: Identifying and quantifying the factors contributing to control failures and providing actionable insights.

The role also supports the internal audit leadership team in assessing the overall effectiveness of risk management practices.

As part of the regional audit resource pool, the Data Analytics Manager will be responsible for:

• Applying data analytics tools such as SQL and Python to support audit teams across the full audit lifecycle, from planning through closure.
• Detecting symptoms of control failures by analyzing operational data and providing insights to audit leads.
• Developing and maintaining continuous auditing dashboards using visualization tools such as Tableau or Power BI , providing clear visibility of control effectiveness across business units.
• Identifying trends and emerging themes that support the development of opinions on the organization’s overall control environment.
• Supporting leadership in delivering continuous improvement initiatives and meeting stakeholder reporting requirements.
• Collaborating with internal teams, including IT and Compliance , to facilitate efficient data sourcing for audits and analytics initiatives.

• Build and maintain strong working relationships with audit directors, internal audit leadership, and operational management teams.
• Deliver analytics outputs in line with internal methodologies and audit timelines.
• Provide audit leads with timely, accurate data-driven insights during fieldwork.
• Present audit findings to senior management, ensuring that appropriate responses are obtained for each identified issue.
• Manage analytics projects effectively, taking ownership of deliverables from start to finish.

• Strong technical skills with SQL and Python (Pandas Library) for data analytics.
• Proficiency in visualization tools such as Tableau and/or Power BI .
• Advanced knowledge of Python /R for text analytics, NLP, predictive analytics, or machine learning is highly desirable.
• Excellent stakeholder management, communication, and presentation skills.

• Hands-on technical experience mining, cleaning, and analyzing data using databases and analytics tools.
• Strong working knowledge of SQL in a relational database environment.
• Solid experience using Python for data analysis and automation.
• Experience with machine learning and predictive analytics is advantageous.
• Background in financial services preferred, ideally with exposure to insurance or investment management sectors.
• Experience working within an audit or risk management environment is highly desirable.
• Exceptional attention to detail and logical problem-solving abilities.
• A collaborative team player with the ability to build and maintain professional respect within the team and across departments.

We’re committed to EEO in the workplace and welcome applicants from all backgrounds.

Responsibilities

• Develop and implement data analytics solutions using DataIKU.
• Analyze complex datasets to extract actionable insights for business strategies.
• Collaborate with cross-functional teams to identify and address data-related challenges.
• Create interactive dashboards and visualizations for stakeholders.
• Ensure data accuracy and integrity through thorough validation processes.
• Contribute to the continuous improvement of data analytics workflows and tools.
• Provide technical guidance and support to team members on DataIKU usage.
• Stay updated with the latest trends and advancements in data analytics and technology.

• Proficiency in DataIKU and other data analytics tools or platforms.
• A strong background in data analysis, data visualization, and data modeling.
• Excellent problem-solving skills and attention to detail.
• Educational qualifications in a relevant field such as Data Science, Computer Science, or Mathematics.
• Ability to work collaboratively in a team-oriented environment.

• Competitive annual salary in the range of MYR 140,400 to MYR 171,600.
• Opportunities to work on cutting-edge technology in the professional services industry.
• A permanent role with career growth potential.
• A supportive environment that values innovation and learning.

If you're ready to advance your career in data analytics with DataIKU, we encourage you to apply today!

Contact: Azfar Hisyam
Job ref: JN-
Phone:

Overview

OCBC Federal Territory of Kuala Lumpur, Malaysia

Manager, Data Analytics

OCBC Federal Territory of Kuala Lumpur, Malaysia

Get AI-powered advice on this job and more exclusive features.

Unlock the power of data to drive sales growth and customer satisfaction at OCBC. As a Data Analytics - Sales professional, you'll have the opportunity to turn insights into action, informing sales strategies that meet the evolving needs of our customers. You'll be part of a team that's passionate about using data to make a real impact.

• Analyze sales data to identify trends, opportunities, and challenges
• Develop data-driven insights to inform sales strategies and improve sales performance
• Collaborate with sales teams to understand their needs and develop targeted solutions
• Design and implement data visualizations to communicate insights to stakeholders
• Develop and maintain databases and data systems to support sales analytics

• A degree in a quantitative field such as mathematics, statistics, or computer science
• At least 3 years of experience in data analytics, preferably in a sales or marketing context
• Strong analytical and problem-solving skills, with the ability to communicate complex data insights in a clear and compelling way
• Experience with data visualization tools such as Tableau or Power BI
• Strong collaboration and communication skills, with the ability to work effectively with sales teams and other stakeholders

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Analyst and Finance
• Industries: Banking

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

The Manager, Data Analytics will oversee the data analytics team, leading efforts to provide actionable insights that drive strategic decision-making across the organization. This role involves managing the development of analytics solutions, ensuring data quality, and aligning analytics initiatives with business goals. You will work closely with key stakeholders to translate business needs into data-driven strategies and support the company's overall performance through advanced analytics and reporting.

Key Responsibilities:

Data Analytics Strategy & Execution:

• Develop and execute a comprehensive data analytics strategy to support the company's business goals.
• Lead the creation of analytics frameworks and processes to generate insights that inform product development, marketing, and operational efficiency.
• Ensure that data-driven insights are used to optimize business performance and enhance customer experiences.

Team Leadership & Development:

• Manage, mentor, and develop a team of data analysts and data scientists, ensuring continuous improvement in analytical skills and output.
• Foster a collaborative, data-driven culture within the team and across the organization.
• Set clear goals and KPIs for the team, providing regular feedback and performance evaluations.

Data Tools & Infrastructure:

• Oversee the implementation and use of advanced analytics tools (e.g., SQL, Python, R) and data visualization platforms (e.g., Tableau, Power BI).
• Collaborate with engineering and IT teams to ensure the data infrastructure supports the organization's analytics needs, including data collection, integration, and reporting systems.
• Continuously assess and implement new tools and technologies that enhance data analytics capabilities.

Data-Driven Insights & Reporting:

• Develop and maintain reports, dashboards, and visualizations that communicate key business insights to stakeholders at all levels of the organization.
• Identify trends, patterns, and opportunities from large datasets, and provide actionable recommendations to optimize business operations.
• Collaborate with business units to define key metrics and ensure that performance is tracked against goals.

Collaboration & Stakeholder Management:

• Partner with cross-functional teams including marketing, finance, product, and operations to ensure alignment of analytics initiatives with business objectives.
• Act as the key point of contact for analytics across the organization, ensuring stakeholders have access to accurate and timely data.
• Communicate complex data insights in a clear and actionable way to both technical and non-technical stakeholders.

Advanced Analytics & Predictive Modeling:

• Lead initiatives that leverage advanced analytics techniques, such as machine learning and predictive modeling, to solve business challenges.
• Develop models to forecast customer behavior, optimize marketing strategies, and enhance product performance.
• Ensure continuous improvement in analytics processes and methods to stay ahead of industry trends and best practices.

Data Governance & Quality:

• Ensure data accuracy, integrity, and consistency across all analytics platforms and tools.
• Establish data governance processes to maintain high standards in data quality and ensure compliance with relevant regulations.
• Work with the data engineering team to enhance data collection and warehousing for more accurate and reliable analytics.

Key Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• 5+ years of experience in data analytics or a related field, with at least 2 years in a leadership or management role.
• Strong proficiency in data analytics tools and languages (e.g., SQL, Python, R) and experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Hands-on experience with statistical analysis, data mining, and predictive modeling.
• Proven ability to manage teams, deliver insights, and work cross-functionally with multiple stakeholders.
• Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.

Preferred Skills:

• Experience with cloud data platforms (e.g., AWS, GCP, Azure) and big data technologies.
• Knowledge of advanced analytics techniques, such as machine learning, AI, and automation.
• Experience working in (industry-specific knowledge, e.g., fintech, e-commerce, healthcare).

Strong business acumen and understanding of how data analytics drives value in business.

Are you game?