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Data & Visualization Analyst
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Job Description
- Req#: ANALY016980
Employer Industry: Semiconductor Industry
Why consider this job opportunity:
- Opportunity for career advancement and growth within the organization
- Excellent benefits package including medical, dental, vision, 401(k), and paid time off
- Work in a diverse and innovative environment committed to continuous improvement
- Engage in meaningful projects that contribute to the evolution of technology
- Collaborate with a team of skilled professionals in data analysis and engineering
What to Expect (Job Responsibilities):
- Lead data analysis projects from conception to completion, ensuring data integrity and quality
- Develop and maintain dashboards, reports, and visualizations to effectively communicate data findings
- Collaborate with data engineers and IT professionals to optimize data collection and storage processes
- Identify KPIs and develop metrics to track and measure business performance
- Stay updated with industry trends and best practices in data analysis, visualization, and reporting
What is Required (Qualifications):
- Minimum of 3-6 years of work experience as a data analyst, data scientist, BI analyst, data engineer, or related profession
- Bachelor's or Master's degree in Computer Science, Information Technology, Industrial Engineering, or a related field
- Intermediate level in SQL, data profiling, data manipulation techniques, and database querying
- Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis
- Strong analytical and problem-solving skills to interpret large datasets and generate meaningful insights
How to Stand Out (Preferred Qualifications):
- Certified SAP Business Warehouse (BW) and/or SAP Business Objects (BO)
- Certification in Databricks and/or Power BI
- Experience in Cloud Data Platforms such as Databricks
- Familiarity with Agile development methodologies (Scrum, Kanban, etc.)
- Experience in the Hi-Tech and/or Semiconductor or manufacturing industry
#SemiconductorIndustry #DataAnalysis #CareerGrowth #DiversityInWorkplace #Innovation
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