Sr Analyst IT - Data Catalog Analyst (Remote) - Constellation Energy Generation, LLC.

WHO WE ARE

As the nation's largest producer of clean, carbon-free energy, Constellation is focused on our purpose: accelerating the transition to a carbon-free future. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute.

Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things and help fight climate change. Join us to lead the clean energy future.

TOTAL REWARDS

Constellation offers a wide range of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, we offer a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including a robust wellness program; paid time off for vacation, holidays, and sick days; and much more.

Expected salary range of $108,900 to $121,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).

PRIMARY PURPOSE OF POSITION

The Senior Analyst IT, Data is responsible for ensuring that data within the organization is properly cataloged, maintained, and analyzed for quality. They will act as a subject matter expert for data governance practices, including metadata management, data quality assessments, and data stewardship. This role will help the organization improve the discoverability, reliability, and security of its data, ensuring compliance with data governance standards and contributing to the success of various business units.

PRIMARY DUTIES AND ACCOUNTABILITIES

• Work with business intelligence teams to integrate the data catalog with tools like Power BI, ensuring seamless data discoverability for reporting and analytics purposes. 
• Implement and maintain end-to-end data lineage tracking within the data catalog, enabling accurate impact analysis and ensuring transparency across data assets. 
• Act as a liaison between departments, conducting outreach to promote the adoption and usage of the data catalog, including identifying key use cases and gathering feedback for continuous improvement. 
• Develop, implement, and manage the organization's data catalog, ensuring accurate data representation and metadata management to enhance data discoverability and usability across departments.
• Perform complex data quality assessments on data sources and products, ensuring referential and historical integrity. Work closely with stakeholders to resolve issues, conduct root cause analysis, and implement processes for continuous improvement.
• Collaborate with data stewards and governance teams to enforce data governance standards, including data quality, privacy, and security, to ensure compliance with internal and regulatory policies.
• Provide training to team members and stakeholders on best practices in data management, including the use of data catalogs, metadata, and data quality tools. Document processes, data dictionaries, and lineage for transparency and ease of use.
• Stay abreast of emerging trends in data management and governance, recommending and implementing improvements to internal processes and technology usage.
• Provide expertise and support for projects involving data migration, integration, and new data initiatives to ensure seamless integration with the data catalog.
• Perform complex data analysis and provide expertise in researching data sources, acquiring, profiling, analyzing, manipulating data in support of the construction of the data warehouse and maintaining the quality and integrity of the data

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, Data Science, or a related discipline with typically 5 to 8 years of experience in data management, data governance, or a related field, or an equivalent combination of education and work experience.
• Strong proficiency with data cataloging tools, metadata management platforms, SQL, and data modeling.
• Experience in data quality management and familiarity with ETL processes and data warehouses.
• Demonstrated ability to manage and improve processes involving data quality, metadata, and governance.
• Excellent communication skills, capable of collaborating effectively with both technical and non-technical stakeholders.
• Strong analytical and problem-solving skills, with a proactive approach to identifying and resolving issues.

PREFERRED QUALIFICATIONS

• Proficiency in using Microsoft Purview for metadata management, data cataloging, and lineage tracking. Experience in configuring Purview to manage data classification and enhance discoverability across enterprise data systems. 
• Strong skills in integrating data catalogs with Power BI and other reporting tools, ensuring that users can seamlessly access and visualize data from the catalog. Ability to create dynamic reports and dashboards that showcase data lineage and metadata for decision-making. 
• Experience working with Microsoft Azure data services, including Azure Synapse, Azure Data Lake, and Data Factory, to ensure smooth integration with the data catalog and ensure data governance principles are upheld in cloud environments. 
• Proficiency in using leading data catalog platforms such as Collibra, Informatica Data Catalog, Alation, and Microsoft Purview. Ability to manage metadata, configure data lineage, and ensure data governance compliance across these platforms. 
• Strong familiarity with industry standards such as DAMA-DMBOK for data governance and metadata management, ensuring alignment with regulatory frameworks like GDPR, HIPAA, or CCPA.