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- 5+ years of experience in translating business requirements into detailed data specifications.
- Proficiency in building specifications for data modelers to design data warehouses.
- Strong expertise in SSRS and Power BI report analysis to identify underlying data and modeling needs.
- In-depth knowledge of data warehousing technical aspects and dimensional modeling practices.
- Familiarity with data warehouse methodologies and best practices for requirements gathering and documentation.
- Proficiency in data analysis and query methods using SQL.
- Experience in ETL/ELT specification analysis and documentation.
- Understanding of data security and access control documentation.
- (Preferred) Familiarity with Data Vault data modeling and Databricks Medallion architecture.
- Excellent written and verbal communication skills.
- Collaborative, proactive, and a can-do mindset.
- Ability to prioritize and manage complex workstreams effectively.
- Diligent work ethic with the ability to meet delivery deadlines consistently.
- Commitment to delivering high-quality results.
- Collaborate with stakeholders to understand and translate business requirements into detailed data specifications.
- Develop specifications for data modelers to design and implement data warehouse solutions.
- Analyze SSRS and Power BI reports to identify underlying data and modeling needs, providing insights for improving data quality and reporting accuracy.
- Apply expertise in data warehousing technical aspects and dimensional modeling practices to optimize data warehouse performance and scalability.
- Utilize data warehouse methodologies and best practices for requirements gathering and documentation, ensuring alignment with business objectives.
- Conduct data analysis and write SQL queries to extract insights and support decision-making processes.
- Document ETL/ELT specifications and ensure compliance with data security and access control requirements.
- Collaborate with cross-functional teams to implement Data Vault data modeling and Databricks Medallion architecture (preferred).
- Communicate effectively with team members and stakeholders, providing updates on project status and addressing any concerns or issues.
- Maintain a proactive and can-do mindset, actively seeking opportunities to improve processes and deliverables.
- Opportunity to work in a challenging and dynamic environment, collaborating with cross-functional teams to drive business success.
- Competitive salary and benefits package.
- Room for growth and professional development, with opportunities to expand skills and expertise in data analytics and data warehousing.
- Make a meaningful impact by contributing to the development and optimization of data-driven solutions.
Data Warehouse Analyst - Tampa, United States - Vaco
Description
Senior Data Analyst
Apply promptly A high volume of applicants is expected for the role as detailed below, do not wait to send your CV.Experience and Skills:
Soft Skills:
Responsibilities:
Why Join Us:
If you have a passion for data analysis and a strong commitment to delivering high-quality results, we encourage you to apply for the Senior Data Analyst position.