Data Engineering and Analysis Manager

A Data Engineering and Analysis Manager is a strategic leader responsible for overseeing data engineering processes and driving data analysis efforts within an organization. 

This role involves managing data pipelines, designing data systems, and providing actionable insights to support informed decision-making.

Data Engineering and Analysis Managers optimize data engineering processes, lead the development of data models and databases, and collaborate with cross-functional teams to identify business requirements and translate them into data solutions. 

They also oversee data cleansing, transformation, and quality assurance processes and develop reporting tools and dashboards to visualize and communicate data-driven findings. Additionally, they stay updated on industry trends, mentor team members, and drive a data-driven culture within the organization.

Looking to advance your career as a Data Engineering and Analysis Manager? 

Join our innovative team, where you'll manage data engineering processes and drive data analysis efforts.

As a key player in our IT department, you'll be able to optimize data pipelines, design data systems, and provide actionable insights to drive business decisions. If you're passionate about leveraging data to solve complex business challenges and thrive in a collaborative environment, we want you on our team!

• Manage and optimize data engineering processes to ensure efficient data collection, storage, and retrieval.
• Lead the development and implementation of data models and databases.
• Collaborate with cross-functional teams to identify business requirements and translate them into data solutions.
• Oversee data cleansing, transformation, and quality assurance processes.
• Design and implement data analytics strategies to extract valuable insights.
• Develop reporting tools and dashboards to visualize and communicate data-driven findings.
• Stay updated on industry trends and best practices in data engineering and analysis.
• Conduct regular data audits to ensure accuracy and integrity.
• Mentor and guide data engineers and analysts to enhance team performance.
• Collaborate with IT infrastructure teams to optimize data storage and processing capabilities.
• Implement data security and privacy measures to protect sensitive information.
• Participate in strategic planning sessions to align data initiatives with company goals.
• Assist in the selection and implementation of data management tools and technologies.
• Engage in continuous learning to enhance technical skills and stay abreast of emerging technologies.
• Drive a data-driven culture within the organization to promote informed decision-making.

• Implement a data governance framework resulting in improved data quality and consistency.
• Develop advanced predictive models that improve revenue forecasting accuracy.
• Create data visualization dashboards that enhance stakeholder understanding and decision-making.
• Establish best practices for data security compliance, eliminating data breaches.
• Streamline data reporting processes, reducing reporting time.
• Execute major data migration projects within a specified timeframe.
• Cultivate a collaborative and results-oriented data team culture.

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field; Master's degree preferred.
• Proven experience in data engineering, data analysis, or a related field, with at least X years in a managerial role.
• Proficiency in data engineering tools such as SQL, Python, Hadoop, Spark, etc.
• Strong analytical skills with the ability to translate complex data into strategic insights.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for data storage and processing.
• Excellent leadership qualities with a demonstrated ability to mentor and inspire team members. 
• Understanding of data governance principles and data management best practices.
• Strong communication skills with the ability to convey technical concepts to non-technical stakeholders.
• Proven track record of successfully managing data projects from inception to implementation.