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Top Data Analyst Jobs in Malaysia
This role involves managing data acquisition, quality assurance, and analytics delivery for a portfolio of healthcare clients. Responsibilities include coordinating with service delivery leads, communicating data requirements, ensuring quality standards, and executing operational processes. The candidate will enhance data processing and maintain communication with client IT resources.
The Senior Data Reporting Analyst analyzes large data sets to support business objectives, maintains data integrity, creates advanced reports and visualizations, collaborates with departments for data solutions, and presents findings to stakeholders. They continuously seek improvement in data processes and stay updated on industry trends.
The Supervisory Analyst/Data Scientist manages complex analytical tasks related to banking supervision, conducts investigations, analyzes systemic risks, and prepares reports. The candidate will work collaboratively with internal stakeholders, mentor junior analysts, and stay current on regulations affecting the banking industry.
As a Data Analytics Specialist, you will create and implement tagging plans, perform web analysis studies, monitor web analytics impact on various activities, and collaborate with multiple divisions for data-driven marketing services.
The Senior ERP Data Integration Analyst at CoStar Group is responsible for improving and developing systems/data integrations for Oracle Fusion ERP. This role includes managing data between systems, analyzing new system integrations, troubleshooting data issues, and supporting enterprise data migration efforts.
The Financial Data Analyst at ING is responsible for managing the general ledger and ensuring data integrity. Key duties include gathering and analyzing financial data, identifying process improvements, developing data visualizations, and collaborating with management and tech teams. Ideal candidates should have strong analytical skills, communication capabilities, and advanced knowledge of Excel and BI tools.
The Data Quality Analyst will ensure ongoing data quality through continuous auditing and validation of data throughout its lifecycle. Responsibilities include testing new data sources, maintaining documentation of data elements, creating and updating reports, and providing team support on various projects.
The Senior Analyst, Data & Dashboard will lead data enablement and dashboard projects, ensuring the accuracy and usability of data deliverables. They will design user-friendly Tableau dashboards, mentor analysts, and consolidate data pipelines in Databricks. The role involves root cause analysis of data issues and collaboration with teams to drive data-driven decision-making.
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The Senior Data Analyst at Greif is responsible for ensuring data consistency and accuracy across enterprise applications, managing data governance processes, and providing functional and technical leadership. This includes overseeing data quality metrics, engaging with business users, and participating in data migration activities.
The Senior Data Analyst will coordinate with stakeholders to understand data needs, develop metrics and dashboards, and conduct analysis to inform strategic business decisions. They will manage critical projects, contribute to data analytics best practices, and mentor junior analysts.
As a Senior Data Analyst, you'll collaborate with the commercial team to design and build data solutions for clients, ensuring timely delivery of high-quality data. Your role includes analyzing large datasets to resolve quality issues, developing QA efficiencies, and engaging with stakeholders to enhance operational processes.
The Data Quality Analyst will manage data quality throughout its lifecycle, performing validations, maintaining documentation, updating reports, and developing new reports based on business needs while collaborating with the data engineering team.
The Field Software Application Support and Data Quality Analyst will manage work order submissions and provide technical support for software applications on disaster support projects. Responsibilities include data entry, user support, quality control, and collaboration with stakeholders to ensure project objectives are met.
The Field Software Application Support and Data Quality Analyst coordinates work order submissions, deploys field technology, and ensures data quality for disaster support activities. Responsibilities include user support, application training, monitoring submissions, and collaborating with stakeholders.
The Data Management Analyst III develops data models and automates workflows using Alteryx, supports data governance, conducts analysis for insights, and collaborates cross-functionally to enhance data accessibility and efficiency.
The Senior Data Quality Analyst ensures the accuracy and integrity of data assets by leading quality initiatives, developing standards, and collaborating with teams. Responsibilities include data assessments, policy development, mentoring junior analysts, and monitoring data quality issues while adhering to company standards.
The Associate Data Recon Analyst will support the Performance and Data Reconciliation department by identifying, troubleshooting, and resolving accounting and data issues. Responsibilities include managing transaction quality, ensuring data flow accuracy, conducting analysis on fee calculations, and creating documentation and training manuals.
The Data Operations Analyst will support data workflow and governance, ensuring efficient ETL processes, correcting pipeline workflows, managing reporting deliveries, and liaising with departments for process enhancement. A key role involves overseeing database responsibilities and exception reporting to minimize correction time.
The Sales Data Analyst at Mars Snacking will gather and manage data requirements for various business initiatives, ensuring data readiness and quality. Responsibilities include collaborating with technical teams, analyzing and optimizing data usage, and supporting AI and analytics deployment for sales functions. They will work cross-functionally to drive data literacy and usage across markets.
The Senior ERP Data Conversion Analyst is responsible for the migration of business data from legacy systems to Oracle Cloud ERP. Key tasks include data movement, system analysis for data conversion, validating data quality, and ensuring error-free execution. This role involves collaboration with both technical and business teams to enhance data processing and address data issues during migration projects.
As a Senior Payments Data Analyst, you will analyze payments data to provide insights and support optimized payment processes. This role involves monitoring metrics, collaborating with teams for payment strategy development, and creating comprehensive performance reports to drive decision-making.
The Data Reporting Analyst at Highmark Inc. is responsible for analyzing key performance metrics, developing dashboards and reports, and providing insights to support data-driven decision-making. The role involves collaborating with various departments to gather data, optimizing analysis processes, ensuring data quality, and effectively communicating findings to both internal and external stakeholders.
The Staff Data Analyst at Ignite Reading will lead impactful data analytics projects, transforming complex data into strategic insights for informed decision-making. Responsibilities include conducting quantitative analysis, collaborating with stakeholders, mentoring junior analysts, and utilizing tools like DBT, SQL, and Tableau.
The Senior Product Data Analyst at Wistia is responsible for analyzing complex datasets using SQL and Python, creating data visualizations, and collaborating with product teams to provide insights that drive business decisions. The role involves defining product metrics, conducting A/B testing, and ensuring data integrity while communicating findings to both technical and non-technical stakeholders.
The Data Analyst will analyze and optimize the marketing funnel of The League, utilizing SQL and programming languages like Python or R for data analysis and visualization, while promoting data-driven decision making across various departments.
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