Description

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 Skills

 

SkillRequired /DesiredAmountYears of Experience
Advanced understanding of data integrations.· Strong knowledge of database architecturesRequired10 
Work closely with data analysts, data scientists, and other data consumers within the business in an attempt to gather and populate dataRequired10 
Strong analytical and problem solving skills,· Ability to build strong relationships both internally and externallyRequired10 
Ability to negotiate and resolve conflicts,· Ability to effectively prioritize and handle multiple tasks and projectsRequired10 
Experience with key data warehousing architectures including Kimball and Inmon, and has a broad experience designing solutions using a broad set of daRequired10 
expertise in Data Factory v2,Data Lake Store, Data Lake Analytics, Azure Analysis Services, Azure SynapseRequired10 
strong SQL scripting skillsRequired10 
strong skills conducting spatial data analysisRequired10 

  


 

Key Skills
Education

Any Gradute

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