Required Skills: SQL Server, T-SQL
Job Description
Job Position: SQL Server Data and Analytics Specialist
Duration: 12 Months+
Location: Remote
Pay range: $70 to $80/hr on W2
• Top Required Skills: High end analytic skill in SQL, problem solver, & can shift quickly
• Assessment: Must be completed/submitted with resume (AI use to complete assessment will result in disqualification)
Responsibilities:
• Develop, debug, and test T-SQL code to address a wide range of technical and analytical problems
• Determine and implement effective strategies to explore, analyze, interpret, standardize, and conform complex datasets
• Collaborate with team members to determine the sufficiency of data and ensure alignment in requirements
• Assist Solutions Architects in the development of data processing plans that address the custom needs of each project
• Interface with business stakeholders to identify new and/or clarify existing requirements
• Manage and prioritize assigned tasks, ensuring deadlines are achieved, communicating appropriately about progress and obstacles
Knowledge/Experience:
• 5+ years’ experience in leading the development of technical solutions
• Bachelor’s degree in Computer Science or Engineering (or related fields) strongly preferred
• Ability to understand complex business processes and adapt solutions to meet the needs of the business
• Excellent communication skills for collaborative interaction with peers, managers, and business stakeholders
• Comfortable in consultative interactions, able to clearly and confidently articulate both challenges and solutions to non-technical stakeholders
• Must enjoy and have experience working in a fast paced environment, able to quickly realign with shifting priorities
Technical Skills:
• 10+ years’ experience with SQL Server and/or other relational databases
• Advanced/expert level knowledge and experience working with SQL Server and/or in the development of T-SQL code
• Proficient in tuning T-SQL queries and/or in the optimization of database server performance
• Experience performing complex data analysis of very large datasets