Data Analyst (Direct Hire)
Job Requisition: 7100
Description forData Analyst:
As a Data Analyst, you will play a critical role in analyzing manufacturing data, uncovering meaningful patterns, and transforming raw data into actionable insights. Collaborating closely with cross-functional teams, including operations, supply chain, finance, and Sales, you will use the Azure platform and Power BI to develop interactive dashboards and reports that facilitate data-driven decision-making.
Responsibilities for Data Analyst:
- Gain a deep understanding of our manufacturing operations, data sources, and business objectives.
- Design and implement robust data models ensure accurate and reliable data analysis.
- Collaborate with stakeholders to identify key performance indicators (KPIs) and establish data collection methodologies aligned with manufacturing goals.
- Acquire, clean, and transform complex datasets, ensuring data quality and integrity throughout the process.
- Utilize statistical methods and data mining techniques to analyze manufacturing data, identify trends, anomalies, and actionable insights.
- Develop interactive and visually appealing dashboards and reports using Power BI, providing stakeholders with real-time access to critical information.
- Generate regular reports and deliver data-driven presentations to communicate findings and recommendations effectively.
- Collaborate with IS team to maintain and optimize the data infrastructure and systems on the Azure platform, ensuring data availability, security, and scalability.
- Stay updated on industry best practices, advancements in data analytics, Azure platform capabilities, and Power BI features to drive continuous improvement and innovation.
- Actively participate in cross-functional projects, providing analytical support and expertise to address specific operational challenges or strategic initiatives.
Requirements for Data Analyst:
- Bachelor's or Masters degree in a relevant field such as Data Science, Computer Science, Statistics, or Engineering. A master's degree is a plus.
- Proven experience as a Data Analyst, preferably within a manufacturing or industrial environment.
- Strong proficiency in SQL, Python, or R for data extraction, manipulation, and analysis.
- Experience in designing and implementing data models, ETL processes, and data integration workflows.
- Proficient in developing interactive dashboards and reports using Power BI.
- Familiarity with Azure services, including Azure Data Lake, Azure SQL Database, Azure ML, and Azure Data Factory.
- Solid understanding of statistical analysis techniques and machine learning algorithms.
- Excellent analytical thinking, problem-solving, and data visualization skills.
- Strong communication skills, with the ability to present complex information in a clear and concise manner.
- Ability to work effectively in cross-functional teams and manage multiple priorities.