Title: Sr. Data Analyst
Duration: 6 month Contract (potential to extend or convert to FTE)
Location: Remote (up to 20% travel)
Overview:
The Sr. Data Analyst is responsible for strategic planning, analysis, and design of our data domains, ensuring alignment with business requirements. This role involves analyzing and managing data across one or more domains, ensuring data accuracy, completeness, consistency, and reliability. The Sr. Data Analyst will collaborate closely with data stewards and guide data domain analysts to prioritize and address domain-related initiatives. Key deliverables include defining data models, developing business glossaries and metadata, and overseeing data management practices, including creation, maintenance, and disposal. The analyst will also be responsible for ensuring compliance with data standards and policies.
Responsibilities:
- Develop and maintain domain-specific data models, standards, and procedures.
- Analyze and resolve data issues and risks within the domain by collaborating with stakeholders across the organization.
- Ensure data management practices align with organizational data governance policies and standards.
- Collaborate with Data Governance team members to maintain data quality, accuracy, completeness, and consistency within the domain and sub-domains.
- Work with business users and the Data Technology (DT) team to define domain-specific business needs and implement data domain solutions.
- Develop and maintain a data dictionary and catalog for the domain, in partnership with Data Governance and Metadata Leads.
- Build and maintain relationships with cross-functional teams to understand data consumption and usage.
- Serve as a subject matter expert on the data domain, providing guidance on best practices and industry standards.
- Develop and monitor key performance indicators (KPIs) and prepare regular reports for executive leadership regarding domain performance.
Qualifications
- Bachelor’s degree in Information Management, or a related field, or equivalent experience.
- 8+ years of experience in data analysis or relevant business experience related to the domain.
- Demonstrated experience implementing Master Data Management (MDM) solutions, including defining data governance frameworks, establishing data quality standards, and integrating MDM systems to ensure a unified and accurate view of critical business data.
- Data Domain Driven architecture (DDD) experience or academic application/knowledge.
- Proficiency in Database Technologies (e.g., SQL, NoSQL).
- Familiarity with enterprise-level data models and various data types.
- Strong analytical, problem-solving, and critical thinking skills.
- Understanding of Canonical Data Models and data virtualization.
Preferred Experience:
- Experience with Data Profiling and ETL tools.
- Experience with Data Visualization Tools (e.g., Denodo, Tableau, Power BI, Looker).