352 Senior Data Analyst jobs in Malaysia
Data Analyst
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Job Title: Data Analyst
Location: Kuala Lumpur, Malaysia
Job Mode: On Site
Duration: 12-month with high opportunity of extension
Experience Required: At least 5 years of experience in data engineering and distributed data systems.
Job DescriptionWe are seeking a highly skilled and motivated Data Analytics Specialist with a proven track record of delivering impactful analytics solutions and driving data-driven decision-making. The ideal candidate will have strong expertise in Tableau and advanced data visualization concepts, along with a solid understanding of data manipulation, analytics tools, and programming languages.
Responsibilities- Design, develop, and deliver Tableau dashboards, storyboards, and prototypes with quick turnaround time.
- Collaborate with business stakeholders to define requirements and provide end-to-end project management : requirement gathering, solution validation, user testing, technical documentation, and production rollout.
- Perform data manipulation and preparation using tools such as Informatica, Dataiku, Alteryx, or Tableau Prep .
- Write complex SQL / PostgreSQL / MySQL queries to support reporting and analytics needs.
- Leverage Python and data science libraries (preferred) for advanced analytics and automation.
- Manage multiple workstreams simultaneously while delivering high-quality solutions.
- Provide clear and impactful presentations of data insights to stakeholders at all levels.
- Identify and implement opportunities for process, product, and operational improvements .
- Influence cross-functional teams effectively, even without direct authority.
- Bachelor’s Degree in Finance, Statistics, Computer Science , or a related field (Master’s preferred).
- 5+ years of relevant analytics experience with demonstrated career growth and increasing responsibility.
- Strong understanding of data visualization principles and advanced Tableau development skills.
- Expertise in SQL and hands-on experience with relational databases (PostgreSQL/MySQL).
- Familiarity with Informatica, Dataiku, Alteryx, Tableau Prep , or similar tools.
- Knowledge of Python and data science libraries is a plus.
If this sounds like a good fit, I’d be happy to connect. Please share your updated CV and let me know a suitable time for a quick discussion. Referrals are also welcome!
Seniority level- Mid-Senior level
- Contract
- Information Technology
- Industries
- IT Services and IT Consulting
Data Analyst
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Data Analyst – Chubb WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Responsibilities- To maintain data tools and processes that empower teams across the organization to make informed, strategic decisions.
- To enhance the company's understanding of customer behavior through comprehensive data analysis.
- To contribute to the continuous improvement of data quality and integrity, ensuring reliable and accurate insights.
- To support innovation and product development by providing data insights that inform new features and enhancements.
- To foster a culture of data literacy and self-service analytics within the organization, promoting efficient and effective use of data resources.
- Collect, organize, and analyze large datasets to identify trends and patterns that directly inform business decisions and strategies.
- Collaborate with cross-functional teams to understand data requirements and objectives, ensuring data insights are aligned with key business goals and outcomes.
- Assist in the development and maintenance of dashboards and reports for various stakeholders, translating complex data into actionable insights that drive business performance.
- Create and maintain automated report processes to promote a self-service data culture within the company, empowering teams to make data-driven decisions that support business growth and efficiency.
- Utilize Google Analytics to track, report, and analyze website traffic and user behavior to support new product developments and features.
- Support the design and implementation of A/B tests and other experiments.
- Help in data cleaning and preparation to ensure accurate analysis.
- Present findings through clear and concise reports or presentations.
- Stay current with industry trends and best practices in data analytics.
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a similar discipline.
- 1-3 years of experience working as a Data Analyst in the Insurance/Financial Services industry.
- Experience with statistical software such as R or Python.
- Experience with Google Analytics, including understanding of metrics and hands-on experience in generating reports.
- Proficiency in Microsoft Excel; familiarity with data visualization tools such as Qliksense or Power BI is a plus.
- Experience with SQL or other database language is advantageous.
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to present data-driven insights clearly and effectively.
- Detail-oriented with the ability to manage multiple projects and deadlines.
Data Analyst
Posted 1 day ago
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Joey Yap Group — Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Role: Data Analyst
Job brief
We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will possess strong analytical skills, proficiency in data analysis tools, and a passion for uncovering actionable insights from complex datasets.
Responsibilities- Oversee the end-to-end enrolment process, including form generation, invoicing, and payment tracking.
- Conduct ETL processes to migrate and synchronize data between our ERP platform and existing systems.
- Generate reports such as enrolment lists, merchandise entitlements, and other operational insights.
- Analyze student data, perform segmentation, and provide lead generation for targeted campaigns, upselling, and cross-selling.
- Improve process automation where possible using scripts, macros, or ERP customization features.
- 1-2 years of experience in data analysis, ERP systems, or business operations.
- Strong understanding of enrolment, invoicing, and finance processes within a structured system.
- ETL knowledge to handle data transformation and system matching.
- Advanced Excel (Pivot Tables, VLOOKUP, Macros) and experience in data analytics.
- Logical thinker with strong problem-solving skills.
- Basic programming skills (Python, SQL) for handling large data sets and generating insights (a plus).
- Experience with business reporting and student lifecycle analysis is preferred.
- Ability to work cross-functionally with different teams, especially finance and sales.
Monday to Friday 9:30am to 5:30pm, Saturday 9:30am to 1:00pm
#J-18808-LjbffrData Analyst
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About Annalect
As every CMO knows, employing technology, data and analytics to business challenges is the cost of entry, not a nice to have. Unlocking the value of consumer data can deliver growth, revenue, and ROI, and create differentiation to stay on top. Real-time action is instrumental in driving results within a highly fragmented marketplace.
Annalect is the data and technology division of Omnicom. We provide a variety of services to our clients and media agency partners. As a company, we serve as the foundational data and technology layer in which analytics and insights can be accessed through a single lens. Our main goal is to advance the advertising and marketing strategies of our clients with applications that unlock insights and drive business results.
Annalect is a global data, technology, and analytics consultancy, with a strong footprint in the APAC region with offices in Bangalore, Gurgaon, Hong Kong, Kuala Lumpur, Melbourne, Singapore and Sydney. We create solutions across data, measurement, analytics, visualisation, and marketing technology to maximise the effectiveness of media and our client’s media ROI.
Annalect’s unique approach to data and technology – one that relies on transparency, neutrality, and interoperability – allows us to deliver purpose-built and scalable solutions that make data actionable. We have teams of analysts, data scientists, consultants, and technical experts to help us meet the business goals of our agency partners and clients.
Join our dynamic and diverse team at Annalect -- data solutions for marketers, by marketers.
Day-to-day- Build and maintaining dashboards using visualization tools such as Datorama, Data Studio and others
- Working closely with stakeholders (both internal and external) to centralise high-quality data from various sources.
- Assess quality of data through various techniques.
- Work on regular report delivery around media and advertising updates.
- Communicate data insights and outliers through impactful data visualisation and storytelling.
- Build and maintain dashboards and reports
- Build and maintain taxonomy via Excel or in house tool for various media channels to ensure correct data collection
- Provide support and maintenance of dashboards to ensure availability and performance of developed reports and dashboards; Working with Data Governance teams to build data checks to constantly improve the data integrity and accuracy of dashboards
- Work with the Manager and the agency teams to execute advanced analytics and data science needs, around but not limited to ad tech field e.g. Web/app analytics solutions, attribution study
- Build reports and provides analysis to existing and new projects via third-party media platforms and analytics tools
- Generating and communicating clear, compelling and actionable insights
- Ensuring that client facing and internal reporting is done in a timely manner
- Presenting reports to clients during monthly and weekly phone calls
- Knowledge and experience of visualization tools such as Datorama, Data Studio, Power BI, etc is preferred
- Knowledge in key advertising channels e.g. GMP, Facebook, other DSPs
- Strong data processing & data visualization skills
- Knowledge of 1 or more of: Python, R, SQL
- Analytical, critical thinking, and problem-solving skills
- Effective communicator with well-developed written and verbal skills, ideally in the media industry
- Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields.
- Basic knowledge in data analytics and visualization area (Datorama, Data Studio, Power BI etc)
- Experience in either SQL, Python, R
- Familiarity with SAS, SPSS, R or other advanced analytics software packages is a plus
- Ability to manipulate and troubleshoot large data sets
- A strong desire to learn and passion for both performance marketing and analytics
- Ability to manage and prioritize a number of concurrent tasks
- Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
- Ability to work well with others and work in cross functional teams
- Expertise in Microsoft Excel and PowerPoint is a requirement for the role
- Prior agency experience is a plus
- Familiar with advertising channels and platforms: Facebook, Google Ads, DV360 and others
- Familiarity with at least some of the following tools: marketing technology (e.g. Data Management Platforms), ad-serving (e.g. Google DCM, Atlas), web analytics (e.g. Google Analytics, Adobe Analytics), social (e.g. Facebook Insights, Twitter Insights, Crimson Hexagon)
- Detail oriented and good organizational skills
Data Analyst
Posted 1 day ago
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Direct message the job poster from Risewave Consulting, Inc.
OverviewWe are seeking a skilled Data Analyst with strong expertise in PL/SQL, MSSQL, and ETL processes to join our growing team. The ideal candidate will be responsible for developing, optimizing, and maintaining database solutions that support business-critical applications and data workflows.
Key Responsibilities- Design, develop, and maintain stored procedures, functions, triggers, and views using PL/SQL and MSSQL .
- Develop and optimize ETL processes to extract, transform, and load data between various systems.
- Monitor database performance and ensure data integrity, availability, and security.
- Collaborate with business analysts, developers, and data engineers to support application development and reporting needs.
- Troubleshoot and resolve database-related issues, ensuring minimal downtime.
- Prepare technical documentation and support system upgrades or migrations when required.
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 2–6 years of hands-on experience with PL/SQL and MSSQL .
- Strong knowledge of ETL tools/processes and data integration techniques.
- Proficiency in writing complex SQL queries and optimizing query performance.
- Good understanding of database design, normalization, and indexing strategies.
- Strong analytical, problem-solving, and communication skills.
- Experience with cloud-based databases (e.g., Azure SQL, AWS RDS, GCP).
- Familiarity with BI tools (e.g., Power BI, Tableau).
- Knowledge of scripting languages (Python, Shell, etc.) for data automation.
- Mid-Senior level
- Full-time
- Information Technology
- Software Development, IT System Data Services, and IT System Operations and Maintenance
Data Analyst
Posted 1 day ago
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Join to apply for the Data Analyst role at Coherent Corp.
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OverviewJoin to apply for the Data Analyst role at Coherent Corp. .
Get AI-powered advice on this job and more exclusive features.
Primary Duties & Responsibilities- Responsible to work closely with business operations to understand business reporting requirement.
- Responsible/Assist in data ETL automation and deployment of query scripts.
- Responsible in communicating/publishing data analytics findings/result /reports to stakeholders.
- Responsible in technical write-up such as technical proposal, system application documentation.
- Responsible in develop, implement and maintain AI/Machine Learning Model.
- Responsible in the administration task for RPA and DA servers.
- Responsible in the development and maintenance of RPA/Power Automate platform.
- Responsible in I4.0 projects development and deployment using modern technology.
- A Bachelor's or master's degree in Computer Science, Data Science, Software Engineering, Statistics, Mathematics, or related fields.
- Excellent statistical/analytical and problem-solving skill, attention to detail and accuracy.
- High degree of comfort with large data sets, finding insights in unstructured data, and rapidly evolving project focus.
- Strong programming skill in SQL, Power BI, Tableau or other BI/Data visualization software, Advanced Excel to deliver analytics insights.
- Software knowledge in Python, R, C# etc will be an added advantage.
- Experience in purchasing/procurement analytics will be an added advantage.
- Strong communication skills, both written and verbal.
- Good team player, self-motivated and capable to work independently with minimal supervision.
- Self-started, keen and willing to learn new knowledge.
- This role is 100% onsite
Ensure adherence to company’s values (ICARE) in all aspects of your position at Coherent Corp.
I ntegrity – Create an Environment of Trust
Collaboration – Innovate Through the Sharing of Ideas
Accountability – Own the Process and the Outcome
Respect – Recognize the Value in Everyone
Enthusiasm – Find a Sense of Purpose in Work
Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
About UsCoherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!
#J-18808-LjbffrData Analyst
Posted 1 day ago
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Join to apply for the Data Analyst role at iMin Technology .
This range is provided by iMin Technology. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay rangeThe Data Analyst for Services Operations plays a crucial role in evaluating service performance by analysing operational data. You will collaborate with cross-functional teams to develop data-driven strategies and reports that support informed decision-making and process optimization. Additionally, you will be responsible for identifying risk areas and recommending preventive measures to ensure seamless service operations.
Key Responsibilities- Collect and organize operational data to assess service performance.
- Analyse data to identify trends, patterns, and improvement opportunities within service operations.
- Develop reports and dashboards to present data analysis findings clearly and concisely.
- Collaborate with operations and customer service teams to devise data-driven strategies for enhancing service efficiency and quality.
- Identify potential risk areas and propose preventive measures to ensure service operations continuity.
- Participate in continuous improvement initiatives and process optimization based on data analysis insights.
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
- 1-2 years of experience in a data analysis role or a related field, preferably with Services Operation experience.
- Proficiency in data analysis tools like Excel, SQL, Tableau, Power BI, etc.
- Strong analytical skills to translate complex data into actionable insights.
- Excellent communication skills and the ability to work effectively within a team.
- Proficiency in programming languages: Knowledge of SQL, Python, R, or other relevant languages for data analysis.
- Ability to work independently and proactively in a fast-paced, customer focused environment.
- Strong problem-solving mindset, attention to detail and a passion for customer success.
- Comfortable working across time zones and in a multicultural environment.
- Fluent in English (additional languages are a plus).
- Entry level
- Full-time
- Information Technology
- Appliances, Electrical, and Electronics Manufacturing
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Data Analyst
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MRANTI Park Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
OverviewJoin to apply for the Data Analyst role at MRANTI Park .
Job Purpose: To drive data-driven decision-making across the organization by transforming raw data from various sources into actionable business insights. This role serves as a critical link between the technical data infrastructure and key business stakeholders, including Mranti Divisions and Program Owners. The position is responsible for the end-to-end process of data analysis, including data collection, quality assurance, modelling, and the development and management of the reporting environment. Ultimately, the role will empower the organisation to monitor performance, identify opportunities for optimisation, and make informed strategic decisions by providing clear, accurate, and insightful reports and analyses.
Key Responsibilities- Data collection and analysis: Collect, process, and analyse data from various sources to identify trends, insights, and opportunities for improvement.
- Data quality assurance: Ensure data accuracy, completeness, and consistency by identifying and resolving data quality issues.
- Business analysis: Work with stakeholders (Mranti Divisions/Program Owner) to understand their business needs and requirements, and use data to provide insights and recommendations for business decisions.
- Data modelling: Develop and maintain data models that support business needs and ensure data is structured in a way that is easy to analyse.
- Performance monitoring and optimisation: Monitor key performance metrics and identify opportunities to optimise business processes and improve performance based on data visualisation feedback.
- Processing confidential data and information according to guidelines.
- Helping develop reports and analysis.
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Generating reports from single or multiple systems.
- Troubleshooting the reporting database environment and reports.
- Providing technical expertise in data storage structures, data mining, and data cleansing.
- Bachelor’s degree from an accredited university or college in computer science or related field.
- 1–2 years of working experience as a data analyst or in a related field.
- Data analysis and interpretation: Analysing data to identify trends, patterns, and insights that can inform business decisions.
- Proficiency in SQL, Google Sheets, Python, and potentially other tools like Google Colab or cloud platforms (e.g., AWS, Azure, Google Cloud).
- Ability to work with various stakeholders to assess potential data reporting and risks.
- Ability to analyse existing tools and databases and provide software solution recommendations.
- Ability to translate business requirements into non-technical terms.
- Experience with methodologies and processes for managing large-scale databases.
- Expertise in data wrangling tools (Python/Pandas, SQL).
- Entry level
- Full-time
- Information Technology
- Government Relations Services
Data Analyst
Posted 3 days ago
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LexisNexis Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Data Analyst role at LexisNexis .
About The RoleThe Data Analyst III role consults with internal stakeholders to understand problems, collect and analyze data to support data driven business decisions. This role uses data tools to collate, model, interpret, develop visualizations/information products, and communicate to the business. Specifically, individuals in this role will execute on projects/initiatives with high complexity independently. The role will be on shift hour ideally from 3PM to 12AM.
Responsibilities- Solid understanding of best practices
- Executes on projects and initiatives independently
- Provides support to the analytics team members
- Begins to lead analytics effort with high complexity
- Partners with stakeholders to understand their business needs and to make suggestions for analysis and metrics to drive insights and recommendations
- Understands who the customers are and what is happening in the market with necessary commercial awareness
- Creates visual displays of data through selected tools and analytical packages
- Effectively lead and manage small/operational analytics projects
- Bachelors or Master Degree in Data Analytics/Data Science/Math or equivalent work experience
- Ability to understand complex data structure and to apply advanced blending and refinement techniques including big data and knows how to apply advanced data preparation and refinement techniques
- Significant experience leveraging SQL for data querrying
- Experience with different visualizations tools such as Tableau or PowerBI
- Experience in intermediate statistics
- Basic knowledge of big data platforms
- Ability to present complex issues in simple and sophisticated insights
- Ability to combine visualizations from multiple sources to tell an effective and engaging story
- Knowledge of different project management approaches and lifecycles
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people, with wellbeing initiatives, shared parental leave, study assistance and sabbaticals to help you meet your responsibilities and long-term goals.
Benefits- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Long Service Award: Recognition for your dedication and loyalty
- Access to Learning and Development Resources: Empowering your professional growth.
LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.
Seniority level- Mid-Senior level
- Full-time
- Information Technology
- IT Services and IT Consulting
Data Analyst
Posted 4 days ago
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Kelly Outsourcing & Consulting Group (KellyOCG) is a leading provider of global talent management solutions leading the way especially in Managed Service Provider (MSP) and Recruitment Process Outsourcing (RPO) solutions. We are proud of our reputation for doing things differently – through the services we deliver and the people we attract. Our commitment to our clients is to help them attract incredible talent, just as we want like-minded people who are committed, passionate and just love to deliver amazing results, to be part of our success!
No matter where you are in your career journey you can apply your knowledge and passion to move people, organizations, and communities forward. You’ll have opportunities to grow your expertise and capabilities, both professionally and personally. As a team we celebrate inclusion, caring and collaboration. As a company we value your contribution, we work with integrity, and we always put people first – so your impact really will change lives.
TheData Analyst is accountable for:
- Creating and developing reports, data models, analysis, and statistical calculations as needed.
- Supporting client and internal reporting needs, such as running monthly/quarterly reports as well as ad hoc reports.
- Analyzing past and present operations trends, identify root causes, and create predictive analysis that drives process improvement
- Interpreting data and communicate the findings with executive stakeholders, management, business partners as well as other employees up to and including those in leadership positions.
- Ongoing Innovation and Improvement - maintain current knowledge of business intelligence trends and recommend improvements to processes for measurement, control and analysis.
Essential Skills, Knowledge, and Experience:
- Analysis – Experience or training in business intelligence, data analytics, data science, or reporting & analysis.
- Experience with Excel.
- Problem Solving – Demonstrate excellence at troubleshooting, problem solving, and critical thinking skills.
- Communication – Present information confidently and effectively in person, over the phone, and through writing.
- Accuracy – Possess a high attention to detail.
- Independence – Ability to self-govern and project manage without constant oversight.
- Teamwork – Develop strong relationships with stakeholders and colleagues.
- Seeking at least 2 years of experience in data analytics.