Description

• Collaborates with stakeholders to gather and analyze business requirements, translating them into technical specifications for data engineering projects.  
• Performs complex data analysis and creates insightful visualizations to uncover actionable insights that support operational and strategic decision-making.  
• Models, cleans, and categorizes data sets for effective use in analytics applications.  
• Identifies data-related issues, assess their severity, and evaluate their business impact to inform data quality improvement initiatives.  
• Implements corrective measures for inaccurate data values and other issues, while addressing their underlying causes.  
• Develops data quality guidelines and best practices for end users to reduce the likelihood of future issues.  
• Develops and maintains documentation for data flows, data dictionaries, and business processes.  
• Ensures data quality, consistency, and compliance with data governance policies.  
• Assists in the evaluation and implementation of new data technologies and tools.

Requirements:  

• Demonstrates team leadership and staff development skills.  
• Demonstrates understanding of business analysis principles, processes, and techniques.  
• Ability to create use cases, functional, and technical requirements.  
• Strong consultative and advisory skills.  
• Strong understanding of data warehousing concepts and dimensional modeling.  
• Intermediate skills in computer terminal and personal computer operation; Microsoft Office applications including but not limited to: Word, Excel, PowerPoint and Outlook.  
• Excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders
• Effective organizational and time management skills.  
• Ability to make decisions that have moderate impact on the immediate work unit and cross functional departments.  
• Organize and prioritize work schedules on a short-term and long-term basis.  
• Provide consultation and expert advice to management.  
• Make informal and formal presentations, inside and outside the organization; speaking before assigned team or other groups as needed.  
• Deal with complex difficult problems involving multiple facets and variables in non-standardized situations.  

Technical Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Minimum of five (5) + years of experience in business systems analysis or data analysis roles. 
• Familiarity with data lakehouse concepts and technologies (e.g., Delta Lake, Snowflake). 
• Knowledge of big data processing frameworks (e.g., Apache Spark, Apache Dataflow).  
• Proficiency in SQL and experience with at least one programming language (e.g., Python, R, or Scala).  
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.  
• Experience with data visualization tools (e.g., Tableau, Power BI, or Looker).  
• Proven experience in data quality management and improvement initiatives.  
• Preferred certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).  
• Preferred knowledge of machine learning concepts and their applications in business.  
• Preferred familiarity with data streaming technologies (e.g., Dataflow Streaming, Amazon Kinesis).
• Preferred experience with data governance and data quality tools.  
• Preferred experience with version control systems (e.g., Git) and CI/CD pipelines

• Aggressive compensation package based on experience and skill set.
• Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive.
• Work with other passionate, purposeful, and customer-centric people.
• Extensive internal growth and professional development opportunities including tuition reimbursement.
• Comprehensive benefits package including Medical/Dental/Vision.
• Wellness program to support both mental and physical health.
• Generous paid time off for both exempt and non-exempt positions.