
Data Manager for URA with 4 years experience (Contract)
Join the URA Design & Planning Lab (DPL) as a Data Manager, where you will be responsible for overseeing the entire dataset lifecycle. You will serve as the key point of contact for dataset-related inquiries and document the data management policy process from pre-acquisition to deconstruction. The Data Manager is to work with other agencies to collect verified data, understand the datasets fully, maintain the datasets and storage, ensuring proper access and use of the datasets, and rectify any issues and errors faced with the datasets.
Requirements:
Ability to
• Manage and organize large datasets, including data acquisition, cleaning, transformation, and storage.
• Develop and implement data governance policies and procedures to ensure the accuracy, completeness, and security of our data.
• Collaborate with cross-functional teams to design and implement data solutions that meet business requirements.
• Develop and maintain data dictionaries, metadata, and other documentation to support data management and analysis.
• Develop and maintain data quality metrics and processes to monitor and improve data quality.
• Provide technical leadership and guidance to the team, including mentoring junior data analysts.
• Stay up-to-date with emerging trends and technologies in data management and analysis.
• Strong understanding of data governance and data quality principles.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
Preferred Qualifications:
• Degree/ qualifications in Computer Science, Information Management, or a related field.
• Experience with data management tools such as SQL, Python, or R.
• Professional certifications in data management, such as Certified Data Management Professional (CDMP) or Data Management Association Certified Data Management Professional (DAMA-CDMP).
• Experience with big data technologies such as Hadoop or Spark.
• Experience with cloud-based data management platforms such as AWS or Azure.
• Experience with machine learning and predictive analytics.
Join the URA Design & Planning Lab (DPL) as a Data Manager, where you will be responsible for overseeing the entire dataset lifecycle. You will serve as the key point of contact for dataset-related inquiries and document the data management policy process from pre-acquisition to deconstruction. The Data Manager is to work with other agencies to collect verified data, understand the datasets fully, maintain the datasets and storage, ensuring proper access and use of the datasets, and rectify any issues and errors faced with the datasets.
Requirements:
Ability to
• Manage and organize large datasets, including data acquisition, cleaning, transformation, and storage.
• Develop and implement data governance policies and procedures to ensure the accuracy, completeness, and security of our data.
• Collaborate with cross-functional teams to design and implement data solutions that meet business requirements.
• Develop and maintain data dictionaries, metadata, and other documentation to support data management and analysis.
• Develop and maintain data quality metrics and processes to monitor and improve data quality.
• Provide technical leadership and guidance to the team, including mentoring junior data analysts.
• Stay up-to-date with emerging trends and technologies in data management and analysis.
• Strong understanding of data governance and data quality principles.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
Preferred Qualifications:
• Degree/ qualifications in Computer Science, Information Management, or a related field.
• Experience with data management tools such as SQL, Python, or R.
• Professional certifications in data management, such as Certified Data Management Professional (CDMP) or Data Management Association Certified Data Management Professional (DAMA-CDMP).
• Experience with big data technologies such as Hadoop or Spark.
• Experience with cloud-based data management platforms such as AWS or Azure.
• Experience with machine learning and predictive analytics.