Explore exciting Data Analyst jobs in What Jobs are available for Data Analyst in Kuala Lumpur?
Showing 208 Data Analyst jobs in Kuala Lumpur
Data Analyst
Kuala Lumpur, Kuala Lumpur
Fairview International School
Posted 4 days ago
Job Viewed
Job Description
CUSTOMER SUCCESS AND ACCOUNT MANAGEMENT OFFICE (AMO) At iDynamics Software, we help businesses grow smarter through digital transformation — from ERP and CRM to e-Invoicing and AI-driven analytics.
We believe technology is only as powerful as the people behind it. That’s why we’re building a team of curious, analytical thinkers who can turn data into meaningful business impact.
Your Role As a Data Analyst (Junior Executive), you’ll turn raw data into real business insights — helping both iDynamics and our clients make better, faster decisions.
You’ll work across ERP, CRM, and analytics systems to uncover trends, improve efficiency, and support digital projects.
What You’ll Do
Collect, clean, and interpret data from ERP and e-Invoicing systems (e.g. NetSuite, MyInvois).
Build dashboards and reports using Power BI, Excel, or SuiteAnalytics.
Identify business trends, performance gaps, and improvement opportunities.
Support project and management teams with data-driven insights.
Collaborate with consultants and technical teams on automation and forecasting initiatives.
What We’re Looking For
Degree in Business Analytics, Information Systems, Statistics, Accounting, or related fields.
Strong analytical and problem-solving mindset.
Proficient in Excel; familiarity with SQL or BI tools is an advantage.
Curious learner who’s eager to understand how businesses run.
Good communication skills and a positive, proactive attitude.
Why Join Us
Work in a digital-first company shaping how Malaysian businesses adopt AI and cloud solutions.
Learn directly from experienced ERP and analytics professionals.
Exposure to real business data and digital transformation projects.
Hybrid working culture with strong emphasis on growth and learning.
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We believe technology is only as powerful as the people behind it. That’s why we’re building a team of curious, analytical thinkers who can turn data into meaningful business impact.
Your Role As a Data Analyst (Junior Executive), you’ll turn raw data into real business insights — helping both iDynamics and our clients make better, faster decisions.
You’ll work across ERP, CRM, and analytics systems to uncover trends, improve efficiency, and support digital projects.
What You’ll Do
Collect, clean, and interpret data from ERP and e-Invoicing systems (e.g. NetSuite, MyInvois).
Build dashboards and reports using Power BI, Excel, or SuiteAnalytics.
Identify business trends, performance gaps, and improvement opportunities.
Support project and management teams with data-driven insights.
Collaborate with consultants and technical teams on automation and forecasting initiatives.
What We’re Looking For
Degree in Business Analytics, Information Systems, Statistics, Accounting, or related fields.
Strong analytical and problem-solving mindset.
Proficient in Excel; familiarity with SQL or BI tools is an advantage.
Curious learner who’s eager to understand how businesses run.
Good communication skills and a positive, proactive attitude.
Why Join Us
Work in a digital-first company shaping how Malaysian businesses adopt AI and cloud solutions.
Learn directly from experienced ERP and analytics professionals.
Exposure to real business data and digital transformation projects.
Hybrid working culture with strong emphasis on growth and learning.
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0
Data Analyst
Kuala Lumpur, Kuala Lumpur
iSoftStone
Posted 4 days ago
Job Viewed
Job Description
Data Analyst Location: iSoftStone Federal Territory of Kuala Lumpur, Malaysia
Direct message the job poster from iSoftStone
About Us A leading global technology group, renowned for its extensive ecosystem of digital services and platforms. With a strong presence in cloud computing, mobile gaming, social media, and enterprise solutions, the organization supports millions of users and businesses worldwide. It emphasizes innovation, scalability, and security, making it a key player in driving digital transformation across various industries.
Responsibilities
Responsible for our client international mobile game business related security strategy development, operation, videos analysis, relevant statistical analysis and other work.
Responsible for the development of security strategies, data analysis, operations, related statistical analysis and other tasks for our client international gaming business.
Perform data extraction and conduct basic analysis of overseas FPS player behavior as required; complete player profiling and segmentation analysis for violators under guidance. Execute established operational strategies, monitor and report on the effectiveness of violator governance.
Responsible for company's overseas mobile game business related security strategy development, operation, videos analysis, relevant statistical analysis and other work.
Job Requirements
Bachelor degree or above in computer science or related major, at least 1 year related working experience;
Proficiency in at least one development language ( Lua/Python/C++ , etc.), and familiarity with Lua is preferred;
Experience in using
Linux , proficient in using Python and SQL for big data analysis and processing;
Solid basic computer knowledge, good coding ability, good problem location, analysis and solution ability.
Able to adapt to a bilingual (Chinese-English) languages' work environment; Strong sense of responsibility, strong logical thinking ability, communication ability and pressure resistance ability;
Experience with FPS games such as "CODM" or "PUBGM" or any other mobile games , high-ranking players are preferred.
Knowledge of data analytics, natural language processing algorithms, computer vision algorithms, or experience with large models
is preferred.
Experience in using automation tools such as Selenium for data analysis is a plus point.
Seniority level Associate
Employment type Contract
Job function Information Technology
Industries IT Services and IT Consulting, IT System Data Services, and Data Infrastructure and Analytics
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Direct message the job poster from iSoftStone
About Us A leading global technology group, renowned for its extensive ecosystem of digital services and platforms. With a strong presence in cloud computing, mobile gaming, social media, and enterprise solutions, the organization supports millions of users and businesses worldwide. It emphasizes innovation, scalability, and security, making it a key player in driving digital transformation across various industries.
Responsibilities
Responsible for our client international mobile game business related security strategy development, operation, videos analysis, relevant statistical analysis and other work.
Responsible for the development of security strategies, data analysis, operations, related statistical analysis and other tasks for our client international gaming business.
Perform data extraction and conduct basic analysis of overseas FPS player behavior as required; complete player profiling and segmentation analysis for violators under guidance. Execute established operational strategies, monitor and report on the effectiveness of violator governance.
Responsible for company's overseas mobile game business related security strategy development, operation, videos analysis, relevant statistical analysis and other work.
Job Requirements
Bachelor degree or above in computer science or related major, at least 1 year related working experience;
Proficiency in at least one development language ( Lua/Python/C++ , etc.), and familiarity with Lua is preferred;
Experience in using
Linux , proficient in using Python and SQL for big data analysis and processing;
Solid basic computer knowledge, good coding ability, good problem location, analysis and solution ability.
Able to adapt to a bilingual (Chinese-English) languages' work environment; Strong sense of responsibility, strong logical thinking ability, communication ability and pressure resistance ability;
Experience with FPS games such as "CODM" or "PUBGM" or any other mobile games , high-ranking players are preferred.
Knowledge of data analytics, natural language processing algorithms, computer vision algorithms, or experience with large models
is preferred.
Experience in using automation tools such as Selenium for data analysis is a plus point.
Seniority level Associate
Employment type Contract
Job function Information Technology
Industries IT Services and IT Consulting, IT System Data Services, and Data Infrastructure and Analytics
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1
Data Analyst
Kuala Lumpur, Kuala Lumpur
Miniso
Posted 5 days ago
Job Viewed
Job Description
We are looking for a data-driven analyst to support store operations through reporting, performance analysis, and forecasting. The role involves managing data in Excel, creating dashboards (Power BI/Tableau a plus), and providing actionable insights to improve sales, inventory, and business planning. Strong analytical and communication skills are essential for working across teams and driving data-informed decisions.
Data Processing & Reporting Efficiently manage and analyze operational data using Excel, and prepare standardized reports;
Perform in-depth analysis using pivot tables, formulas, and functions;
Create visual dashboards with Power BI or Tableau (an advantage).
Store Operations Analysis Conduct multi-dimensional analysis of store performance, including:
Sales performance and average transaction value
Product assortment and category contribution
Inventory turnover efficiency
Year-on-year / month-on-month trend analysis
Identify challenges and growth opportunities, and provide recommendations to the operations team.
Forecasting & Trend Analysis Use historical data, combined with holidays, promotional campaigns, and market trends, to forecast sales performance and inventory requirements;
Provide forward-looking data support to assist in business planning and inventory optimization.
Business Support & Communication Translate complex data into clear, concise reports and actionable insights;
Collaborate with cross-functional teams (operations, merchandising, stores) to support business decision-making.
Diploma or Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related fields preferred;
Proficient in
Excel
(pivot tables, functions, formulas) with strong analytical skills;
Strong logical thinking, data sensitivity, and ability to perform independent data analysis;
Excellent communication and teamwork skills, able to clearly present findings;
At least 1 year of relevant experience in data analysis or retail operations analysis preferred.
Hands‑on experience with
Power BI ,
Tableau , or other data visualization tools;
Previous experience in retail, chain stores, or FMCG data analysis;
Knowledge of SQL, Python, or R for data processing and predictive analysis
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Data Processing & Reporting Efficiently manage and analyze operational data using Excel, and prepare standardized reports;
Perform in-depth analysis using pivot tables, formulas, and functions;
Create visual dashboards with Power BI or Tableau (an advantage).
Store Operations Analysis Conduct multi-dimensional analysis of store performance, including:
Sales performance and average transaction value
Product assortment and category contribution
Inventory turnover efficiency
Year-on-year / month-on-month trend analysis
Identify challenges and growth opportunities, and provide recommendations to the operations team.
Forecasting & Trend Analysis Use historical data, combined with holidays, promotional campaigns, and market trends, to forecast sales performance and inventory requirements;
Provide forward-looking data support to assist in business planning and inventory optimization.
Business Support & Communication Translate complex data into clear, concise reports and actionable insights;
Collaborate with cross-functional teams (operations, merchandising, stores) to support business decision-making.
Diploma or Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related fields preferred;
Proficient in
Excel
(pivot tables, functions, formulas) with strong analytical skills;
Strong logical thinking, data sensitivity, and ability to perform independent data analysis;
Excellent communication and teamwork skills, able to clearly present findings;
At least 1 year of relevant experience in data analysis or retail operations analysis preferred.
Hands‑on experience with
Power BI ,
Tableau , or other data visualization tools;
Previous experience in retail, chain stores, or FMCG data analysis;
Knowledge of SQL, Python, or R for data processing and predictive analysis
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2
Data Analyst
Kuala Lumpur, Kuala Lumpur
FastLane Capital Limited
Posted 6 days ago
Job Viewed
Job Description
We are hiring on behalf of our client, a Singapore-based sustainable technology company focused on turning waste into value and enabling eco-friendly practices. They are looking for a passionate and detail-oriented
Data Analyst (Remote) to join their team and make an impact in sustainability.
Key Responsibilities:
Sustainability Data Management & Reporting Collect, verify, and analyze sustainability data from clients and partners. Develop and maintain Environmental, Social, and Governance (ESG) reporting structures aligned with established frameworks. Ensure data quality, accuracy, and consistency through robust verification processes. Platform & Tools Managment Support the development, setup, and maintenance of proprietary sustainability data platforms. Contribute to improvements and innovations in data management systems Data Analysis & Insights Analyze sustainability metrics to identify trends, track progress, and highlight opportunities for waste reduction and efficiency improvements. Provide actionable insights that support clients in achieving their sustainability goals. Collaboration, Communication & Training Partner with business development, operations, and client sustainability teams to communicate program outcomes effectively. Assist in training and educating stakeholders on data collection methods, sustainability reporting, and best practices. Requirements:
Bachelors degree in Environmental Management, Data/Computer Science, Environmental Engineering, or a related analytics field. Experience in data collection, validation, and analysis. Previous exposure to sustainability or ESG-related data (preferred but not required). Strong analytical and problem-solving skills, especially with large datasets. Advanced proficiency in Microsoft Excel and/or Google Sheets (macros knowledge is a plus). Familiarity with Measurement & Verification (M&V) standards (advantageous). Benefits & Perks:
Contribute directly to impactful sustainability projects Be part of a passionate and collaborative team. Gain hands-on experience with innovative sustainability data platforms. Grow your career in a fast-evolving field with real-world impact.
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Data Analyst (Remote) to join their team and make an impact in sustainability.
Key Responsibilities:
Sustainability Data Management & Reporting Collect, verify, and analyze sustainability data from clients and partners. Develop and maintain Environmental, Social, and Governance (ESG) reporting structures aligned with established frameworks. Ensure data quality, accuracy, and consistency through robust verification processes. Platform & Tools Managment Support the development, setup, and maintenance of proprietary sustainability data platforms. Contribute to improvements and innovations in data management systems Data Analysis & Insights Analyze sustainability metrics to identify trends, track progress, and highlight opportunities for waste reduction and efficiency improvements. Provide actionable insights that support clients in achieving their sustainability goals. Collaboration, Communication & Training Partner with business development, operations, and client sustainability teams to communicate program outcomes effectively. Assist in training and educating stakeholders on data collection methods, sustainability reporting, and best practices. Requirements:
Bachelors degree in Environmental Management, Data/Computer Science, Environmental Engineering, or a related analytics field. Experience in data collection, validation, and analysis. Previous exposure to sustainability or ESG-related data (preferred but not required). Strong analytical and problem-solving skills, especially with large datasets. Advanced proficiency in Microsoft Excel and/or Google Sheets (macros knowledge is a plus). Familiarity with Measurement & Verification (M&V) standards (advantageous). Benefits & Perks:
Contribute directly to impactful sustainability projects Be part of a passionate and collaborative team. Gain hands-on experience with innovative sustainability data platforms. Grow your career in a fast-evolving field with real-world impact.
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3
Data Analyst
Kuala Lumpur, Kuala Lumpur
Dr Clear Aligners
Posted 6 days ago
Job Viewed
Job Description
Responsibilities
Collect, clean, and transform raw data into meaningful datasets for analysis. Design and maintain BI dashboards and reports (Power BI, Tableau, Looker Studio, or equivalent) for business stakeholders. Translate business needs into technical requirements, ensuring data visualization supports decision-making. Monitor KPIs, metrics, and business trends to provide insights on performance and growth opportunities. Develop and implement statistical models, machine learning algorithms, and predictive analytics to support strategic initiatives. Perform exploratory data analysis to identify patterns, correlations, and anomalies. Build, test, and deploy models for forecasting, segmentation, recommendation, and optimization. Ensure data integrity, accuracy, and compliance with internal policies. Partner with cross-functional teams to understand requirements and deliver actionable insights. Document methodologies, maintain reproducible workflows, and promote best practices in data usage. Qualifications
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field. Minimum 4 years of proven experience as a Data Analyst, BI Analyst, or Data Scientist. Proficiency with BI tools for dashboarding and reporting. Strong foundation in statistics, data modeling, and machine learning techniques. Excellent problem-solving skills, with the ability to translate complex findings into actionable insights. Strong knowledge of sales/e-commerce funnels, digital marketing metrics, and fulfilment operations metrics. Analytical thinker with strong attention to detail. Effective communicator, able to explain technical concepts to non-technical stakeholders. Adaptability in a fast-paced, data-driven environment. Business acumen to connect data insights with strategic goals. Continuous learner, keeping up with trends in data science and BI.
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Collect, clean, and transform raw data into meaningful datasets for analysis. Design and maintain BI dashboards and reports (Power BI, Tableau, Looker Studio, or equivalent) for business stakeholders. Translate business needs into technical requirements, ensuring data visualization supports decision-making. Monitor KPIs, metrics, and business trends to provide insights on performance and growth opportunities. Develop and implement statistical models, machine learning algorithms, and predictive analytics to support strategic initiatives. Perform exploratory data analysis to identify patterns, correlations, and anomalies. Build, test, and deploy models for forecasting, segmentation, recommendation, and optimization. Ensure data integrity, accuracy, and compliance with internal policies. Partner with cross-functional teams to understand requirements and deliver actionable insights. Document methodologies, maintain reproducible workflows, and promote best practices in data usage. Qualifications
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field. Minimum 4 years of proven experience as a Data Analyst, BI Analyst, or Data Scientist. Proficiency with BI tools for dashboarding and reporting. Strong foundation in statistics, data modeling, and machine learning techniques. Excellent problem-solving skills, with the ability to translate complex findings into actionable insights. Strong knowledge of sales/e-commerce funnels, digital marketing metrics, and fulfilment operations metrics. Analytical thinker with strong attention to detail. Effective communicator, able to explain technical concepts to non-technical stakeholders. Adaptability in a fast-paced, data-driven environment. Business acumen to connect data insights with strategic goals. Continuous learner, keeping up with trends in data science and BI.
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4
Data Analyst
Kuala Lumpur, Kuala Lumpur
RAM Holdings
Posted 6 days ago
Job Viewed
Job Description
We seek an Analyst for the Data Analytics division of RAM Rating Services Berhad, Malaysia’s leading and premier Credit Rating Agency. The work we do includes: Development, maintenance, calibration of credit models of various portfolio types Review and validation of credit models Firm-level credit assessment and performance analytics across segments Probability of default (PD) and IFRS 9 expected credit loss analytics Customised solutions and advisory for credit and portfolio management As Analyst, you will play an important part in project execution and delivery, quantitative analysis and preparing documentation, reports or presentations to communicate findings and recommendations. You will also be responsible for operational client collaboration and helpdesk support. You will: Undertake internal or external client projects in the areas of data analysis and financial and credit analytics to communicate findings and develop recommendations. Perform industry, business, financial assessment and credit rating for the assigned cases/entities under your purview. Provide support for analytics solutions, tools or software applications, assisting where necessary in solution development, implementation, customer and stakeholder support, issues resolution and identifying areas for improvement. Undertake data extraction, preparation and analysis for assignments using appropriate tools and techniques. Prepare credit and analytical reports including documentation, supporting materials and presentations. Develop, enhance or refine rating methodologies and analytical frameworks. Conduct research for assignments and subject matters of interest as required. Participate or present in internal and external meetings to discuss, explain, provide insights and contribute on case assignments, reports and other analytical tasks. Maintain orderly files and documentation of assignments’ data, analytical output, minutes, deliverables, communications and administrative matters. Requirements:
Bachelor’s degree in Finance, Accounting, Data Science, Statistics or a related discipline. Excellent command of Microsoft Excel with proficiency in VBA for automation and tooling. Command of analytical tools and software such as Python and R is preferred. Good written and verbal communication skills. Candidates with 2 – 3 years’ experience in financial modelling, credit analysis and data analytics are encouraged to apply.
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Bachelor’s degree in Finance, Accounting, Data Science, Statistics or a related discipline. Excellent command of Microsoft Excel with proficiency in VBA for automation and tooling. Command of analytical tools and software such as Python and R is preferred. Good written and verbal communication skills. Candidates with 2 – 3 years’ experience in financial modelling, credit analysis and data analytics are encouraged to apply.
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5
Data Analyst
Kuala Lumpur, Kuala Lumpur
Tata Consultancy Services
Posted 9 days ago
Job Viewed
Job Description
A purpose-led organization that is building a meaningful future through innovation, technology, and collective knowledge. We're #BuildingOnBelief. Tata Consultancy Services (TCS) is a global leader in IT services, digital and business solutions that partners with its clients to simplify, strengthen and transform their businesses. TCS offers a consulting‑led, integrated portfolio of IT, BPS, infrastructure, engineering and assurance services. We ensure the highest levels of certainty and satisfaction through a deep‑set commitment to our clients, comprehensive industry expertise and a global network of innovation and delivery centres. For more information, visit us at Job Title:
Data Analyst Job Description: Minimum of 5 years in a senior data analyst role Extract, analyse, interpret & identify patterns in data from various tables or reports. Report results of analysis to relevant team members. Support initiatives for data integrity and normalization. Assess data quality and filter/clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. Key Roles and Responsibilities
Perform initial analysis to work with Project Manager and delivery team to develop Data Management solution. Manage master data, including creation, updates, and deletion, and generate reports from single or multiple systems. Seniority level
Mid‑Senior level Employment type
Contract Job function
Information Technology IT Services and IT Consulting All applicants who meet the requirements will be considered equally and fairly for employment. We will review your application and will get back to you if we are considering your interest in this opportunity.
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Data Analyst Job Description: Minimum of 5 years in a senior data analyst role Extract, analyse, interpret & identify patterns in data from various tables or reports. Report results of analysis to relevant team members. Support initiatives for data integrity and normalization. Assess data quality and filter/clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. Key Roles and Responsibilities
Perform initial analysis to work with Project Manager and delivery team to develop Data Management solution. Manage master data, including creation, updates, and deletion, and generate reports from single or multiple systems. Seniority level
Mid‑Senior level Employment type
Contract Job function
Information Technology IT Services and IT Consulting All applicants who meet the requirements will be considered equally and fairly for employment. We will review your application and will get back to you if we are considering your interest in this opportunity.
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6
Data Analyst
Kuala Lumpur, Kuala Lumpur
career.io
Posted 11 days ago
Job Viewed
Job Description
Data Analyst Career.io is rapidly growing and looking for driven, customer‑obsessed professionals to help our team revolutionize the career‑services industry. We’re committed to helping job seekers write the next chapter of their careers—and we want to help write yours, too! We hire for growth and longevity because we value the happiness and well‑being of our employees.
We are seeking a highly skilled and experienced Data Analyst to join our Analytics team. You will be responsible for conducting research, creating dashboards, and generating reports for teams across the organization. You will utilize technical expertise to ensure data is accurate and high‑quality. Data is then analyzed, structured, and presented to aid individuals, businesses, and organizations in making informed decisions.
This is a 100% remote/work‑from‑home role.
The Key Responsibilities
Develop and implement data‑driven strategies to enhance product performance and user experience
Analyze user behavior and product usage data to identify opportunities for optimization and innovation
Create visually engaging reports and dashboards for internal teams and external partners, aiding in data‑driven decision‑making
Perform in‑depth data analysis to uncover reasons behind metric fluctuations and verify assumptions, addressing ad‑hoc questions beyond standard dashboards
Collaborate with cross‑functional teams to understand product requirements and improve feature functionalities
Utilize statistical models and machine learning techniques to predict product trends and user behavior
Implement rigorous quality assurance processes to uphold data accuracy and reliability
Present insights and recommendations to stakeholders, contributing to product strategy development
Enhance data warehouse organization with new objects like analytic data marts and views
Collaborate with Data Engineering to influence data governance, addressing Analytics Team needs
Must‑Haves
Bachelor or master’s in Data Science, Computer Science, Engineering, or related fields
Strong knowledge of, and experience with, SQL and Python
Some experience with dbt
2 to 4 years of hands‑on experience in data analytics or a similar role
Expertise in analytical tools, specifically Periscope, Mixpanel, Google Analytics, etc.
Statistical knowledge, strong analytical and problem‑solving skills, including ability to handle and accurately analyze large data sets
Excellent communication skills, including experience speaking to technical and business audiences and working globally
Comfortable with multi‑tasking, managing multiple stakeholders, and working as part of a team
Technical proficiency in database design, development, data models, data marts, and techniques for data mining and segmentation
Nice‑to‑Haves
Experience with cloud‑based data warehousing platforms such as Redshift, Snowflake, etc.
Experience with Message Gears
Why You’ll Love Working Here
Work from anywhere—our team is distributed across the world, from the US to India, UK, UAE, and Netherlands
Globally growing products
Competitive salary (USD)
At Career.io we believe that diversity in thought and cultural background leads to better teams and stronger companies. We seek talented, qualified employees, regardless of race, color, sex/gender (including pregnancy, gender identity, and gender expression), national origin, religion, sexual orientation, disability, age, marital status, citizenship status, veteran status, or any other protected classification under country or local law. Career.io is proud to be an Equal Employment Opportunity Employer.
Come join our team. Together, we’ll help others tell their career stories and land their dream jobs.
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We are seeking a highly skilled and experienced Data Analyst to join our Analytics team. You will be responsible for conducting research, creating dashboards, and generating reports for teams across the organization. You will utilize technical expertise to ensure data is accurate and high‑quality. Data is then analyzed, structured, and presented to aid individuals, businesses, and organizations in making informed decisions.
This is a 100% remote/work‑from‑home role.
The Key Responsibilities
Develop and implement data‑driven strategies to enhance product performance and user experience
Analyze user behavior and product usage data to identify opportunities for optimization and innovation
Create visually engaging reports and dashboards for internal teams and external partners, aiding in data‑driven decision‑making
Perform in‑depth data analysis to uncover reasons behind metric fluctuations and verify assumptions, addressing ad‑hoc questions beyond standard dashboards
Collaborate with cross‑functional teams to understand product requirements and improve feature functionalities
Utilize statistical models and machine learning techniques to predict product trends and user behavior
Implement rigorous quality assurance processes to uphold data accuracy and reliability
Present insights and recommendations to stakeholders, contributing to product strategy development
Enhance data warehouse organization with new objects like analytic data marts and views
Collaborate with Data Engineering to influence data governance, addressing Analytics Team needs
Must‑Haves
Bachelor or master’s in Data Science, Computer Science, Engineering, or related fields
Strong knowledge of, and experience with, SQL and Python
Some experience with dbt
2 to 4 years of hands‑on experience in data analytics or a similar role
Expertise in analytical tools, specifically Periscope, Mixpanel, Google Analytics, etc.
Statistical knowledge, strong analytical and problem‑solving skills, including ability to handle and accurately analyze large data sets
Excellent communication skills, including experience speaking to technical and business audiences and working globally
Comfortable with multi‑tasking, managing multiple stakeholders, and working as part of a team
Technical proficiency in database design, development, data models, data marts, and techniques for data mining and segmentation
Nice‑to‑Haves
Experience with cloud‑based data warehousing platforms such as Redshift, Snowflake, etc.
Experience with Message Gears
Why You’ll Love Working Here
Work from anywhere—our team is distributed across the world, from the US to India, UK, UAE, and Netherlands
Globally growing products
Competitive salary (USD)
At Career.io we believe that diversity in thought and cultural background leads to better teams and stronger companies. We seek talented, qualified employees, regardless of race, color, sex/gender (including pregnancy, gender identity, and gender expression), national origin, religion, sexual orientation, disability, age, marital status, citizenship status, veteran status, or any other protected classification under country or local law. Career.io is proud to be an Equal Employment Opportunity Employer.
Come join our team. Together, we’ll help others tell their career stories and land their dream jobs.
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7
Data Analyst
Kuala Lumpur, Kuala Lumpur
慘扭敬
Posted 12 days ago
Job Viewed
Job Description
As a Data Analyst, you will work closely with stakeholders to understand business challenges and opportunities, transforming raw data into valuable insights. You will be responsible for sourcing, cleaning, and analyzing data, uncovering patterns and trends that drive strategic decisions. By creating clear and effective data visualizations, you will present your findings in a way that simplifies complex information, supporting the development of data-driven products and initiatives. Job Requirements:
Collaborating with stakeholders to define business challenges or opportunities. Sourcing, cleaning, and preparing data for analysis. Analyzing data to identify patterns, trends, and actionable insights. Creating data visualizations to simplify complex information. Presenting findings in a compelling way that supports strategic decision-making and contributes to building data-driven products. Job Requirements:
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Proficient in SQL for querying databases and working with large datasets. Knowledge on Statistical analysis and data analysis. Experience with data visualization tools like Tableau, Power BI, or Looker. Familiarity with Excel for data manipulation and analysis. Experience with ETL processes and understanding of data warehousing concepts. Strong ability to translate business questions into analytical tasks. Expertise in data cleaning, preprocessing, and structuring. Problem-solving abilities to find patterns and actionable insights from data. Ability to work with large, complex datasets and perform exploratory and statistical analyses. Ability to present findings in a clear, concise manner through reports and visual presentations. Experience collaborating cross-functionally with teams like product, marketing, and sales to identify data-driven solutions. At least 2 years of experience as a Data Analyst, or related role. Familiarity with relevant industry data, especially if applying for specialized sectors like e-commerce, fintech, online marketplace etc.
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Collaborating with stakeholders to define business challenges or opportunities. Sourcing, cleaning, and preparing data for analysis. Analyzing data to identify patterns, trends, and actionable insights. Creating data visualizations to simplify complex information. Presenting findings in a compelling way that supports strategic decision-making and contributes to building data-driven products. Job Requirements:
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Proficient in SQL for querying databases and working with large datasets. Knowledge on Statistical analysis and data analysis. Experience with data visualization tools like Tableau, Power BI, or Looker. Familiarity with Excel for data manipulation and analysis. Experience with ETL processes and understanding of data warehousing concepts. Strong ability to translate business questions into analytical tasks. Expertise in data cleaning, preprocessing, and structuring. Problem-solving abilities to find patterns and actionable insights from data. Ability to work with large, complex datasets and perform exploratory and statistical analyses. Ability to present findings in a clear, concise manner through reports and visual presentations. Experience collaborating cross-functionally with teams like product, marketing, and sales to identify data-driven solutions. At least 2 years of experience as a Data Analyst, or related role. Familiarity with relevant industry data, especially if applying for specialized sectors like e-commerce, fintech, online marketplace etc.
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8
Data Analyst
Kuala Lumpur, Kuala Lumpur
RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
Posted 13 days ago
Job Viewed
Job Description
Direct message the job poster from RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
Aspiring IT Recruiter | Passionate About Connecting Tech Talent Job Position Title:
Data Analyst
Company:
RiDiK Pte Ltd
Job Summary:
We’re looking for a Data Analyst to support our team in Malaysia. This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If you’re someone who takes initiative, values continuous learning, and thrives in a collaborative setting, we’d love to hear from you.
Skills & Qualifications:
1-3 years of experience in data engineering or a related field, with hands‑on experience designing and deploying scalable data pipelines and ETL/ELT processes.
Proven expertise in Google Cloud Platform (GCP) services, especially BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow).
Strong programming skills in Python, SQL, and familiarity with data pipeline frameworks (e.g., Apache Beam, Airflow, dbt).
Experience working with data warehouse architecture and dimensional data modelling in cloud-based environments.
Solid understanding of data security, IAM, encryption, and compliance in a cloud environment.
Familiarity with CI/CD practices, version control (e.g., Git), and infrastructure as code.
Ability to troubleshoot complex data issues, perform root cause analysis, and implement long‑term solutions.
About CLPS RiDiK: RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting‑edge end‑to‑end services across banking, wealth management, and e‑commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact.
Details Seniority level: Entry level Employment type: Contract Job function: Information Technology, Analyst, and Business Development Industries: IT Services and IT Consulting, Computer and Network Security, and Financial Services
Location Federal Territory of Kuala Lumpur, Malaysia
#J-18808-Ljbffr
Aspiring IT Recruiter | Passionate About Connecting Tech Talent Job Position Title:
Data Analyst
Company:
RiDiK Pte Ltd
Job Summary:
We’re looking for a Data Analyst to support our team in Malaysia. This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If you’re someone who takes initiative, values continuous learning, and thrives in a collaborative setting, we’d love to hear from you.
Skills & Qualifications:
1-3 years of experience in data engineering or a related field, with hands‑on experience designing and deploying scalable data pipelines and ETL/ELT processes.
Proven expertise in Google Cloud Platform (GCP) services, especially BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow).
Strong programming skills in Python, SQL, and familiarity with data pipeline frameworks (e.g., Apache Beam, Airflow, dbt).
Experience working with data warehouse architecture and dimensional data modelling in cloud-based environments.
Solid understanding of data security, IAM, encryption, and compliance in a cloud environment.
Familiarity with CI/CD practices, version control (e.g., Git), and infrastructure as code.
Ability to troubleshoot complex data issues, perform root cause analysis, and implement long‑term solutions.
About CLPS RiDiK: RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting‑edge end‑to‑end services across banking, wealth management, and e‑commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact.
Details Seniority level: Entry level Employment type: Contract Job function: Information Technology, Analyst, and Business Development Industries: IT Services and IT Consulting, Computer and Network Security, and Financial Services
Location Federal Territory of Kuala Lumpur, Malaysia
#J-18808-Ljbffr
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