1-20- Sr Data Analyst - MS Dataverse

Focused HR SolutionsRaleigh, NC
Remote

About The Position

The client's enterprise operates within a complex, multi-platform data environment, utilizing technologies such as Oracle, DB2, MySQL, and SQL Server, alongside desktop applications like MS Access and MS Excel. The objective is to establish an enterprise data model focused on standardizing shared data entities and attributes, as well as database management systems and tools. Transactional databases and data warehouses will be hosted in Azure, primarily using Microsoft Dataverse and SQL Server. The Senior Data Analyst/Architect will lead data analysis projects across the DEQ enterprise, offering insights to other data analysts, data architects, and application developers. This role involves providing subject matter expertise in Microsoft Dataverse, SQL Server, Azure Data Factory, and SSIS, and contributing to the creation of an enterprise data model that aligns with business and technical requirements.

Requirements

  • Experience with Azure Data Factory as an ETL tool - Required - 3 Years
  • Experience with MS Dataverse is Required - Required - 3 Years
  • Experience with MS SSIS - Required - 3 Years
  • Proven track record of solving real-world problems using data.
  • Excellent critical thinking skills is a must-have for this role. - Required - 3 Years
  • Bachelor’s Degree or equivalent in a technology-related field (e.g. Computer Science, Engineering, etc.) with a focus on data analysis, and data structure - Required - 3 Years
  • Outstanding interpersonal and communication skills and experience collaborating and influencing across all levels of the organization. - Required - 3 Years
  • Understanding of different database platforms: Oracle, SQL Server (On-Prem / Azure), DB2, and MS Access. - Required - 3 Years
  • Excellent communication skills including written, verbal, and technology illustrations. - Required - 3 Years
  • Understanding of Data Warehousing and data mining. - Required - 3 Years
  • Understanding of modeling strategies (dimensional, snowflake, relational, unstructured). - Required - 3 Years
  • Experience designing and delivering data mapping specifications for large reporting platforms.
  • Writing and maintaining business rules using SQL logic - Required - 3 Years
  • Demonstrated experience in writing ad-hoc SQL statements - Required - 3 Years
  • Strong interest in playing a technical data steward role across our business and technology partners to understand and detail our data, appropriate - Required - 3 Years
  • Proven experience with ERD/Data Modelling tools (Toad or others). - Required - 3 Years
  • Experience in executing projects in an Agile / Hybrid environment - Required - 3 Years
  • Ability to challenge the legacy design and seek opportunities to design better models and better code. - Required - 3 Years
  • Demonstrated technical ability in learning new technologies and adapting to frequent changes in the technical environment - Required - 3 Years
  • Experience with data reporting tools (Power BI, others) - Required - 3 Years
  • 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 - Required - 3 Years
  • Experience conceptualizing and visualizing data structures before they are drawn. - Required - 3 Years
  • Experience migrating data from various legacy platforms - Required - 3 Years

Responsibilities

  • Provide analysis and leadership on data analysis projects across the DEQ enterprise.
  • Provide insight to other data analysts, data architects, and application developers related to creating an enterprise data model that meets the client's business and technical requirements.
  • Provide subject matter expertise related to Microsoft Dataverse, SQL Server, Azure Data Factory, and SSIS.
  • Design and deliver data mapping specifications for large reporting platforms.
  • Write and maintain business rules using SQL logic.
  • Write ad-hoc SQL statements.
  • Play a technical data steward role across business and technology partners to understand and detail data.
  • Conceptualize and visualize data structures before they are drawn.
  • Migrate data from various legacy platforms.
  • Organize data for the agency to meet the needs of unique program areas and enable programs to effect.
  • Challenge legacy design and seek opportunities to design better models and better code.
  • Adapt to frequent changes in the technical environment.
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