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Data Engineer - Malvern, United States - Zeus Fire and Security
Description
Role OverviewThe 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.
Status :
Full-Time, Exempt
Key ResponsibilitiesData 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.
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