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.
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