Jawatan Kosong Data And Dashboard Analyst Advanced Micro Devices Inc Bayan Lepas

Advanced Micro Devices, Inc Recruitment

Kerja Kosong Data and Dashboard Analyst in Bayan Lepas

Description :

Overview: WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Responsibilities: THE ROLE: We are seeking a highly analytical and technically skilled Data and Dashboard Analyst to join our HR Service Center team. This role combines data analytics expertise with advanced dashboard development (i.e. Power BI), supporting HR operations with data-driven insights and impactful visualizations. The ideal candidate will need to excel at transforming complex HR data into meaningful insights, building robust dashboards, and ensuring data accuracy for decision-making. This role requires a balance of data storytelling, technical development, and stakeholder collaboration to drive operational efficiency within the HR Service Center.
KEY RESPONSIBILITIES:

• Data Analytics and Insights: Design and develop data models, statistical analysis, and algorithms to extract actionable insights from large datasets to support HRSC operations. Identify trends, bottlenecks, and opportunities for improvement.
• Dashboard Development: Design, build, and maintain interactive Power BI dashboards tailored to HR Service Center operations, including key performance indicators (KPIs), capacity tracking, and operational metrics.
• Semantic Model Development: Build and optimize robust Power BI semantic models, including defining relationships, creating DAX measures, calculated columns, and implementing row-level security to ensure accurate and scalable data insights.
• Data Integration and Sourcing: Collaborate with data engineering and IT teams to connect and integrate data from various sources, including ServiceNow, SuccessFactors, HRIS, and internal HR systems.
• Contact Center Metrics Expertise: Apply domain knowledge of HR and Contact Center metrics (e.g., Average Handle Time, First Call Resolution, CSAT, Agent Occupancy, SLA adherence) to develop insightful visualizations.
• Data Quality and Governance: Monitor data quality and consistency, identify anomalies, and implement data audit and governance best practices to ensure reliable reporting.
• Stakeholder Collaboration: Work closely with HR leaders, contact center managers, and IT teams to gather requirements, translate business needs into technical solutions, and present insights effectively.
• Training and Support: Develop and deliver training to HR staff on self-service analytics, Power BI usage, and data interpretation. Create and maintain comprehensive documentation for dashboards, data models, and reporting processes.
• Continuous Improvement: Stay current with Power BI features or any other dashboard tools, best practices, and industry trends. Proactively identify opportunities to enhance existing reports and develop new analytical solutions.
• Troubleshooting and Support: Provide ongoing support, troubleshoot issues, and optimize Power BI reports and dashboards for performance.

PREFERRED EXPERIENCE:

• 5+ years of experience in data analytics, business intelligence, or a similar role, including hands-on Power BI development.
• Demonstrable expertise in Power BI semantic model development, data modeling principles, and performance optimization.
• Proven experience in data visualization, data storytelling, and dashboard/report design using Power BI.
• Expertise in Power BI semantic model development, DAX, Power Query (M), and performance optimization.
• Familiarity with HR systems (e.g., HRIS, ServiceNow, SuccessFactors) and data sources used within HR Service Centers.
• Strong analytical and problem-solving skills, with the ability to translate complex data into clear, actionable insights for non-technical audiences.
• Experience in data governance, data quality management, and anomaly detection.
• Excellent communication, collaboration, and organizational skills, with the ability to engage effectively with stakeholders at all levels.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Ability to manage multiple projects simultaneously and meet deadlines.
• Microsoft Certified: Power BI Data Analyst Associate or similar certification is a plus.
• Knowledge of statistical methods and machine learning techniques is a plus.
• Experience querying and working with data from cloud-native database solutions like Snowflake (or comparable platforms such as Redshift, BigQuery, Azure Synapse).

ACADEMIC CREDENTIALS:

• Bachelor’s degree in computer science, Information Systems, Data Analytics, Business, or a related field, or equivalent practical experience.

LOCATION:

Penang, Malaysia

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Qualifications: Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Should you are interested and qualified, please apply in confidence by filling online application form at :

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