RICEFW Technologies
Data Analyst - RICHMOND, VA
RICEFW Technologies, Richmond, Virginia, United States, 23214
.VDOT SR Data Analyst.
3 days a week on site.LOCAL RICHMOND, VA candidates only.
**Local Richmond, VA candidates ONLY required due to onsite requirement**This position requires onsite 3 days a week with 2 remote**Contractor will be responsible for purchasing parking through VDOT's Parking Management Office or procuring their own parking
VDOT SR Data Analyst1. Master Data Analyst•The Virginia Department of Transportation (VDOT) Information Technology Division (ITD) is seeking a Master Data Analyst with demonstrated experience in data analytics to work as a key member of Enterprise Data Asset team. This analyst will support teams working in Agile (Sprint) to analyze datasets to be made available in a cloud-based data management platform that will support the agency to produce master data with data governance.
Responsibilities include analyzing source systems which contain a spatial component for candidate datasets; documenting business processes and data lifecycle; developing data requirements, user stories and acceptance criteria; and testing strategies. VDOT is a fast-paced organization with very high standards for work quality and efficiency. This position is expected to handle multiple projects, and remain flexible and productive, despite changing priorities and processes. Ongoing improvement and efficiency are a part of our culture, and each team member is expected to proactively contribute to process improvements.
Responsibilities:•Work with the Project team members and business stakeholders to understand business processes and pain points•Develop expertise in source system datasets and data lifecycle•Profile source data which may contain a spatial component; review source data and compare content and structure to dataset requirements; identify conflicts and determine recommendations for resolution•Conduct entity resolution to identify matching and merging and semantic conflicts•Elicit, record, and manage metadata•Diagram current processes and proposed modifications using process flows, context diagrams and data flow diagrams•Discover and document requirements and user stories with a focus on improving both business and technical processing•Decompose requirements into Epics and Features and create clear and concise user stories that are easy to understand and implement by technical staff•Utilize progressive elaboration; map stories to data models and architectures to be used by internal staff to facilitate master data management•Identify and group related user stories into themes, document dependencies and associated business processes•Assist Product Owner in maintaining the product backlog•Create conceptual prototypes and mock-ups•Collaborate with staff, vendors, consultants, and contractors as they are engaged on tasks to formulate, detail and test potential and implemented solutions•Perform Quality Analyst functions such as defining test objectives, test plans and test cases, and executing test cases•Coordinate and Facilitate User Acceptance Testing with Business and ensure Project Managers/Scrum Masters are informed of the progress
Qualifications
Required:The candidate must have a minimum of 10 years of experience delivering business data analysis artifacts
5+ years of experience as an Agile Business Analyst; strong understanding of Scrum concepts and methodology
Experience organizing and maintaining Product and Sprint backlogs
Experience translating client and product strategy requirements into dataset requirements and user stories
Proficient with defining acceptance criteria and managing acceptance process•Exceptional experience writing complex sql queries for Sql Server and Oracle•Experience with Azure Databricks•Experience with ESRI ArcGIS
Experience with enterprise data management
Expertise with Microsoft Office products (Word, Excel, Access, Outlook, Visio, PowerPoint, Project Server)
Experience with reporting systems - operational data stores, data warehouses, data lakes, data marts•The candidate must have exceptional written and oral communications skills and have the proven ability to work well with a diverse set of peers and customers
Preferred:•Certified Business Analysis Professional (CBAP) and/or Certified Scrum Product Owner (CSPO) Certification•Certified Data Management Professional (CDMP)
Required/Desired SkillsSkill Required /Desired Amount Years of Experience Advanced understanding of data integrations.•Strong knowledge of database architectures Required 10 Work closely with data analysts, data scientists, and other data consumers within the business in an attempt to gather and populate data Required 10 Strong analytical and problem solving skills,•Ability to build strong relationships both internally and externally Required 10 Ability to negotiate and resolve conflicts,•Ability to effectively prioritize and handle multiple tasks and projects Required 10 Experience with key data warehousing architectures including Kimball and Inmon, and has a broad experience designing solutions using a broad set of da Required 10 expertise in Data Factory v2,Data Lake Store, Data Lake Analytics, Azure Analysis Services, Azure Synapse Required 10 strong SQL scripting skills Required 10 strong skills conducting spatial data analysis Required 10
3 days a week on site.LOCAL RICHMOND, VA candidates only.
**Local Richmond, VA candidates ONLY required due to onsite requirement**This position requires onsite 3 days a week with 2 remote**Contractor will be responsible for purchasing parking through VDOT's Parking Management Office or procuring their own parking
VDOT SR Data Analyst1. Master Data Analyst•The Virginia Department of Transportation (VDOT) Information Technology Division (ITD) is seeking a Master Data Analyst with demonstrated experience in data analytics to work as a key member of Enterprise Data Asset team. This analyst will support teams working in Agile (Sprint) to analyze datasets to be made available in a cloud-based data management platform that will support the agency to produce master data with data governance.
Responsibilities include analyzing source systems which contain a spatial component for candidate datasets; documenting business processes and data lifecycle; developing data requirements, user stories and acceptance criteria; and testing strategies. VDOT is a fast-paced organization with very high standards for work quality and efficiency. This position is expected to handle multiple projects, and remain flexible and productive, despite changing priorities and processes. Ongoing improvement and efficiency are a part of our culture, and each team member is expected to proactively contribute to process improvements.
Responsibilities:•Work with the Project team members and business stakeholders to understand business processes and pain points•Develop expertise in source system datasets and data lifecycle•Profile source data which may contain a spatial component; review source data and compare content and structure to dataset requirements; identify conflicts and determine recommendations for resolution•Conduct entity resolution to identify matching and merging and semantic conflicts•Elicit, record, and manage metadata•Diagram current processes and proposed modifications using process flows, context diagrams and data flow diagrams•Discover and document requirements and user stories with a focus on improving both business and technical processing•Decompose requirements into Epics and Features and create clear and concise user stories that are easy to understand and implement by technical staff•Utilize progressive elaboration; map stories to data models and architectures to be used by internal staff to facilitate master data management•Identify and group related user stories into themes, document dependencies and associated business processes•Assist Product Owner in maintaining the product backlog•Create conceptual prototypes and mock-ups•Collaborate with staff, vendors, consultants, and contractors as they are engaged on tasks to formulate, detail and test potential and implemented solutions•Perform Quality Analyst functions such as defining test objectives, test plans and test cases, and executing test cases•Coordinate and Facilitate User Acceptance Testing with Business and ensure Project Managers/Scrum Masters are informed of the progress
Qualifications
Required:The candidate must have a minimum of 10 years of experience delivering business data analysis artifacts
5+ years of experience as an Agile Business Analyst; strong understanding of Scrum concepts and methodology
Experience organizing and maintaining Product and Sprint backlogs
Experience translating client and product strategy requirements into dataset requirements and user stories
Proficient with defining acceptance criteria and managing acceptance process•Exceptional experience writing complex sql queries for Sql Server and Oracle•Experience with Azure Databricks•Experience with ESRI ArcGIS
Experience with enterprise data management
Expertise with Microsoft Office products (Word, Excel, Access, Outlook, Visio, PowerPoint, Project Server)
Experience with reporting systems - operational data stores, data warehouses, data lakes, data marts•The candidate must have exceptional written and oral communications skills and have the proven ability to work well with a diverse set of peers and customers
Preferred:•Certified Business Analysis Professional (CBAP) and/or Certified Scrum Product Owner (CSPO) Certification•Certified Data Management Professional (CDMP)
Required/Desired SkillsSkill Required /Desired Amount Years of Experience Advanced understanding of data integrations.•Strong knowledge of database architectures Required 10 Work closely with data analysts, data scientists, and other data consumers within the business in an attempt to gather and populate data Required 10 Strong analytical and problem solving skills,•Ability to build strong relationships both internally and externally Required 10 Ability to negotiate and resolve conflicts,•Ability to effectively prioritize and handle multiple tasks and projects Required 10 Experience with key data warehousing architectures including Kimball and Inmon, and has a broad experience designing solutions using a broad set of da Required 10 expertise in Data Factory v2,Data Lake Store, Data Lake Analytics, Azure Analysis Services, Azure Synapse Required 10 strong SQL scripting skills Required 10 strong skills conducting spatial data analysis Required 10