Fire Prevention Engineer jobs in Pennsylvania

Role Overview
The Data Engineer occupies a pivotal position within our organization, responsible for extracting actionable insights from our data resources. This role necessitates a candidate with a strong foundation in SQL development, a discerning proficiency in data analysis, and a mastery of crafting persuasive visualizations using Power BI. Collaboration with diverse cross-functional teams is integral, involving the collection, analysis, and presentation of data, all in support of data-driven decision-making processes.

Key Responsibilities

• Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and anomalies in large datasets.
• SQL Development: Design, optimize, and maintain SQL queries and database structures for efficient data retrieval and storage.
• Power BI Reporting: Create interactive and visually appealing reports and dashboards in Power BI for both technical and non-technical stakeholders.
• Data Integration: Collaborate with IT and other teams to ensure data from various sources is integrated accurately and efficiently.
• Data Cleansing: Clean and preprocess data as needed to ensure data quality and accuracy.
• Performance Tuning: Optimize SQL queries and data processing for improved performance.
• Data Visualization: Present complex data findings in an understandable and actionable format.
• Documentation: Maintain documentation for data processes, reports, and dashboards.
• Collaboration: Collaborate with cross-functional teams to understand business requirements and provide data-driven insights.
• Continuous Improvement: Stay up-to-date with industry trends and best practices in data analysis and visualization.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Statistics, or related field.
• Proven experience in data analysis, SQL development, and Power BI.
• Proficiency in SQL for data retrieval and manipulation.
• Strong data visualization skills using Power BI or similar tools.
• Experience with data cleansing and data quality assurance.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Attention to detail and a commitment to data accuracy.
• Ability to work independently and in a team environment.
• Knowledge of statistical analysis and data modeling is a plus.