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    Analytics Manager - Tallahassee, United States - Crescens Inc.

    Crescens Inc.
    Crescens Inc. Tallahassee, United States

    Found in: Talent US C2 - 20 hours ago

    Crescens Inc. background
    Contract
    Description
    Title: Analytics Manager
    Location: Tallahassee, FL
    Duration: 12+ Months
    Type: Contract
    Job Description:
    • Data Discovery and Inventory: Identify, catalog, and classify data assets, including datasets, databases, and metadata.
    • Catalog Metadata Management: Work with data stewards to develop and maintain standardized metadata descriptions for data assets, capturing key attributes such as data source, format, structure, quality, and usage restrictions.
    • Taxonomy Development: Define and implement data classification schemas, taxonomies, and ontologies to organize and categorize data assets according to IT standards, domain-specific topics, themes, and attributes.
    • Data Profiling and Quality Assessment: Conduct data profiling and quality assessment activities to evaluate the completeness, accuracy, and consistency of data assets, identifying data gaps,
    • anomalies, and errors, together with the data stewards and data-source Subject Matter Experts (SMEs).
    • Data Governance Support: Collaborate with data governance members to establish and enforce data cataloging policies, standards, and procedures that promote consistency, reliability, and compliance with regulatory requirements.
    • Stakeholder Engagement: Work closely with data owners, stewards, consumers, and stakeholders across the department to understand their data needs, requirements, and priorities, and ensure that cataloged data assets meet their expectations.
    • Training and Documentation: Provide training and documentation support to data stewards on data cataloging best practices, tools, and processes, enabling them to effectively Client, access, and utilize all data resources.
    • Leadership and Mentorship: Provide leadership, guidance, and mentorship to junior staff members and colleagues, fostering a culture of continuous learning, innovation, and excellence in D&A practices.
    • Implement and monitor data governance processes, including data access controls, data retention policies, and data life cycle management.
    • Coordinate with D&A team, data governance members, and department staff working with D&A to improve the quality, integrity, and governance of data assets within the department.
    Required Knowledge, Skills & Abilities (KSAs):
    • 3-5 years' experience in data management, metadata management, data governance, or information management.
    • Familiarity with data dictionaries and data cataloging tools and platforms, such as Informatica. (Proficiency level – 4)
    • Understanding of data governance principles, data quality, data stewardship practices, and regulatory compliance requirements. (Proficiency level – 4)
    • Strong organizational skills and attention to detail, with the ability to accurately catalog and document complex data assets. (Proficiency level – 4)
    • Knowledge of metadata standards and frameworks, such as Dublin Core, ISO 19115, and FGDC-CSDGM. (Proficiency level – 3)
    • Ability to establish and maintain effective working relationships with others. (Proficiency level – 3)
    • Ability to work independently. (Proficiency level – 3)
    • Ability to determine work priorities and ensure proper completion of work assignments. (Proficiency level – 3)
    • Ability to effectively communicate technical standards, practices, and initiatives. (Proficiency level – 3)
    Preferred Knowledge, Skills & Abilities (KSAs):
    • Familiarity with environmental science, water quality, or related fields.
    • Experience in data management, metadata management, data governance, or information management in a scientific or environmental context.
    • Proficiency in data profiling and data analysis techniques using tools like SQL, Excel, or data profiling software.
    • Excellent analytical and problem-solving skills to identify and resolve data quality issues.
    • Basic understanding of data-related technologies and tools such as ETL, data warehouses, an data lakes.
    • Basic understanding of data visualization and reporting tools such as Qlik Sense.
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