Minimum Job-Specific Skills/Qualifications Required:
• 5+ years as a data specialist, analyzing, designing, developing, and maintaining optimal data models and pipelines:
• Analyzing and developing data models and data dictionaries for data warehouse and data analytics integration
• Assembling large, complex data sets that meet business requirements,
• Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, SAS, Power BI, and cloud-based technologies.
• 5+ years of experience with principles and techniques of analyzing and documenting all product life cycle artifacts such as functional requirements, business cases, project charters, communication plans, test plans, and detailed functional specifications.
• Prior experience implementing large-scale multi-organizational data warehousing solutions using ETL tools, Machine learning, and Data APIs
• 5+ years of experience analyzing data using SAS.
• 5+ years of experience analyzing data using Power BI.
• 5+ years of experience in data modeling
• 5+ years of programming experience in SQL
• 5+ years of experience using an enterprise-grade ETL/ELT product (i.e., Talend, Informatica, Oracle Data Integrator, etc.)
• Strong understanding of data classifications, data access and security
• Proven track record of written and verbal communication skills, with both technical and non-technical audiences.
• Experienced working with project schedules, identifying deliverables, milestones, and timelines for assigned projects.
• Confidence explaining decisions, analyses, and recommendations to stakeholders of varying levels of seniority and digital content knowledge.
• Great interpersonal skills, flexible can-do attitude, and drive for continuous improvement.
• Ability to assess and evaluate situations and identify creative problem-solving solutions.
• Experienced with MS Office applications including Word, Excel, Project, and Visio.
• Knowledge of digital government and digital government strategies
• Ability to communicate clearly and effectively in English, both orally and written.
Additional Skills/Qualifications Desired:
• Proficient in Microsoft applications
• Recent experience within government agencies or public-sector bodies with projects of a similar type
• Experience integrating, supporting and administering Snowflake
• Experience using Talend Data Fabric, R, and Power BI
Responsibilities:
• Analyze, design, construct, maintain, and enhance data pipelines supporting statistical reports generated through SAS application
• Review and analyze existing scripts used to generate statewide reports.
• Create and execute a data warehouse for case management system inquiries according to established specifications.
• Manage the migration of the current statistical analysis software tool, SAS, to a more updated statistical analysis software tool—this includes reviewing available tools and making a recommendation for the migration of the data to a better-suited statistical analysis software solution
• Generate and document technical specifications and processes for data extraction processes.
• Create and execute data quality control processes.
• Provide technical and troubleshooting support for project teams and validate data file submission (structure and data); validate data quality; and provide support to business owners on data submission issues.
• Provide data engineering training to staff developing data engineering skills
• Assist and support the client with their data extraction routines; provide training when required.
• Work with team to ensure client data flows into data pipelines.
• Provide additional support to staff and client’s technology managers (data technologists).
• Perform data modeling as needed.
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