| Data Warehouse Analyst || Tallahassee, Florida(Hybrid) at Tallahassee, Florida, USA |
| Email: [email protected] |
| From: Aditya Kumar, Stellent It [email protected] Reply to: [email protected] Job Title Data Warehouse Analyst Location Tallahassee, Florida(Hybrid) Duration 12+ months Job Description Education: Bachelors Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience. Experience: A minimum of 5 years of IT work experience in business intelligence tools and systems. Must have an extensive knowledge of data warehouse and data mart concepts. Must possess a working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools. Requirements/Responsibilities: Maintenance, upkeep, and redevelopment of an existing MS-SQL-based Data Warehouse, associated infrastructure, and processes. Document current infrastructure and processes. Analysis and strategic planning for data infrastructure services. Design the next iteration of data infrastructure. Uses data mining and data analysis tools. Reviews and validates data loaded into the data warehouse for accuracy. Interacts with user community to produce reporting requirements. Provides technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage. Responsible for prototyping solutions, preparing test scripts, and conducting tests and for data replication, extraction, loading, cleansing, and data modeling for data warehouses. Maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments. **Our client is searching for someone with 5+ years of experience for the following projects/tasks: Develop BI Capabilities: Provide Dashboards, Scorecards, and Interactive Analytical reports. Train staff on all pertinent BI data structures and BI production Design and implement Data Warehouse Architecture and Data Flow: Ingest Incremental Data into ODS from Source Systems. Apply Data Quality Assurance and business rules to transform the data. Store the transformed data in a Normalized Data Warehouse. From the Normalized Data Warehouse, build a Data Warehouse for Analytics. Build Data Marts per the business Analytics need. BI and data delivery layers present different tools and methods to serve Analytics and reporting needs. Project Management Set up DevOps for version control and Project Management. Fully incorporate the enterprise data management strategy into the solution. Thoroughly document Data Warehouse architecture to convey the objectives effectively. Data discovery Identify data sources from business and responsible subject matter experts (SMEs). Analyze, develop, and document business process knowledge. Identify data quality issues at the source and challenges to resolving these issues. Identify and understand the relationship between different source systems. Implement Dataedo software: Develop ERDs Work with SMEs to implement the Dataedo Data Dictionary Reporting critical reports and data required by the enterprise. Order of priority to help set the priority of deliverables. Current inventory of reports to identify what is currently in use. Development Build Enterprise Data Warehouse. Data Warehouse Environment Build. Identify the Subject Area and data sources to start developing processes to build the Data Warehouse. Revise applicable data processes per discovery. Aditya Kumar Technical Recruiter Stellent IT : [email protected] Gtalk : [email protected] Keywords: business intelligence information technology microsoft |
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| Tue Feb 20 02:34:00 UTC 2024 |