Sr. Enterprise Data Analyst

Summary: The Sr. Enterprise Data Analyst is responsible for driving the completion of complex data projects and solutions while adhering to best practices in data analysis and architecture. This role involves collaborating with business stakeholders to address their data needs and developing data models and transformation logic. The analyst will also work closely with data engineers and senior management to ensure effective data solutions and quality standards are met. Additionally, the position requires establishing relationships with internal and external customers to support departmental goals.

Key Responsibilities:

• Drive completion of data projects and deliverables including the execution of highly complex data solutions while demonstrating best practices, processes and standards for user story development, data analysis, architecture, Modeling, design, coding, and testing.
• Lead or assist in the development, documentation, and maintenance of the enterprise data architecture and its deliverables including the design principles, models, and mappings for transactional and analytical systems serving both strategic and tactical needs.
• Work closely with the business, mapping their most pressing business problems to data and analytic solutions.
• Develop data models and data transformation logic.
• Work with data engineers to implement data pipelines.
• Prototype data solutions to enable the measurement or monitoring of key performance indicators.
• Collaborate with senior management to understand data needs in support of departmental goals.
• Partner with product owners and managers in developing scope, dependencies, estimates, project plans, schedules, status reporting, and issue/risk management.
• Become the subject matter expert in multiple data domains.
• Responsible for defining company standards around data quality.
• Maximize opportunities to implement self-service to allow the business to find the data they need quickly, easily, and accurately.
• Enable data science team to build ML models by designing and providing high quality data.
• Establish and maintain effective and positive relationships with internal and external customers.

Key Skills:

• Expertise in data analysis, architecture, and modeling.
• Strong understanding of data transformation logic and data pipelines.
• Ability to collaborate with business stakeholders and senior management.
• Experience in developing data solutions and prototypes.
• Knowledge of data quality standards and self-service data implementation.
• Proficiency in working with data science teams and machine learning models.
• Excellent communication and relationship-building skills.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: Other