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Senior Business Data Analyst
1 month ago
Azure Data Engineer
Location:
Raleigh, NC (Remote)
Duration: 12 Months
Type:
Contract
Notes:
***Equipment can be shipped to the candidate.
Job Description:
Crescens is seeking a highly motivated Senior Business / Data Analyst to join the Permit Transformation Program team.
Currently, the Department enterprise is a complex, multi-platform data environment.
Technologies in use include Oracle, DB2, MySQL, and SQL Server, as well as desktop-based applications such as MS Access and MS Excel.
Department aims to establish an enterprise data model with a primary goal of standardizing shared data entities and attributes and a secondary goal of standardizing database management systems and tools.
Related transactional databases and data warehouses will be hosted in Azure, generally using Microsoft Dataverse and SQL Server.The Senior Data Analyst/Architect will provide analysis and leadership on data analysis projects across the DEQ enterprise.
You will provide insight to other data analysts, data architects, and application developers related to creating an enterprise data model that meets DEQ's business and technical requirements.
You will also provide subject matter expertise related to Microsoft Dataverse, SQL Server, Azure Data Factory, and SSISSkills:
Experience with Azure Data Factory as an ETL tool
Experience with MS Dataverse isRequired
Experience with MS SSIS
Proven track record of solving real world problems using data. Excellent critical thinking skills is a must have for this role.
Bachelor's Degree or equivalent in a technology related field (e.g. Computer Science, Engineering, etc.) with a focus on data analysis, data structure
Outstanding interpersonal and communication skills and experience collaborating and influencing across all levels of the organization.
Understanding of different database platforms:
Oracle, SQL Server (On-Prem / Azure), DB2, and MS Access.
Excellent communication skills including written, verbal, and technology illustrations.
Understanding of Data Warehousing and data mining.
Understanding of modeling strategies (dimensional, snowflake, relational, unstructured).
Experience designing and delivering data mapping specifications for large reporting platforms. Writing and maintaining business rules using SQL logic
Demonstrated experience in writing ad-hoc SQL statements
Strong interest in playing a technical data steward role across our business and technology partners to understand and detail our data, appropriate
Proven experience with ERD/Data Modelling tools (Toad or others).
Experience in executing projects in an Agile / Hybrid environment
Ability to challenge the legacy design and seek opportunities to design better models and better code.
Demonstrated technical ability in learning new technologies and adapting to frequent changes in the technical environment
Experience with data reporting tools (Power BI, others)
Ability to look at data in various formats, organize data for the agency to meet the needs of unique program areas and enable the programs to effect
Experience conceptualizing and visualizing data structures before they are drawn.
Experience migrating data from various legacy platforms