| 10 years Only -- SR Data Analyst with Azure (742717) in Richmond, VA Hybrid at Richmond, Virginia, USA |
| Email: [email protected] |
| Hi Hope you are doing well, We have the below requirement open. Please send me your candidates updated Resume to [email protected] Role: SR Data Analyst with Azure (742717) Location : 1401 E Broad St, Richmond, VA Both Phone and In Person NOTE : Need Passport number and LinkedIn ID and please do mention Current Location and Visa of candidate while sending the Profile. 3 days a week on site. **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 client Parking Management Office or procuring their own parking SR Data Analyst 1.Master Data Analyst Client is seeking a Master Data Analyst with demonstrated experience in data analytics to work as a key member of the 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. 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 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) Skill Years Used Last Used Advanced understanding of data integrations. Strong knowledge of database architectures Required 10 Years Work closely with data analysts, data scientists, and other data consumers within the business to gather and populate data Required 10 Years Strong analytical and problem-solving skills, Ability to build strong relationships both internally and externally Required 10 Years Ability to negotiate and resolve conflicts, Ability to effectively prioritize and handle multiple tasks and projects Required 10 Years 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 Years expertise in Data Factory v2,Data Lake Store, Data Lake Analytics, Azure Analysis Services, Azure Synapse Required 10 Years strong SQL scripting skills Required 10 Years strong skills conducting spatial data analysis Required 10 Years Question 2 Please list the candidates email address. Question 3 Is the candidate available to work in Richmond, VA at least 3 day/wk This is REQUIRED Question 4 How soon after an offer can your candidate start Thanks and Regards, Ramya Sri https://www.linkedin.com/in/ramya-sri-66152a23b/ Email:[email protected]:www.canopyone.com You can't react to a message with a reply-to address -- Keywords: information technology Idaho Virginia 10 years Only -- SR Data Analyst with Azure (742717) in Richmond, VA Hybrid [email protected] |
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| Mon Aug 05 20:45:00 UTC 2024 |