Experience Required: 7+ Years
Buy Rate: $52
Location: US /Remote
Key Responsibilities
• Act as a Data/BI Power User and Data Consumer, working with business units to understand requirements and translate them into actionable technical solutions.
• Serve as a business-technology liaison, ensuring alignment between strategic business goals and data-driven deliverables.
• Own, support, and deliver the full data lifecycle, including requirement gathering, data design, modeling, development, testing, deployment, and optimization.
• Develop advanced SQL queries and design data models for both SQL and NoSQL repositories.
• Build, maintain, and optimize dashboards, reports, and analytics using Power BI and other BI tools such as Tableau and Alteryx.
• Utilize data transformation and manipulation tools such as Python and Alteryx to streamline workflows and enhance analytical capabilities.
• Work within Azure cloud environments, contributing to cloud-based data architecture, storage, and pipeline solutions.
• Apply DataOps practices, including CI/CD, automation, and monitoring of data pipelines.
• Collaborate within Agile development environments, using tools like JIRA to plan and execute sprints and iterative releases.
• Leverage understanding of machine learning and AI concepts to support advanced analytics initiatives.
• Apply data engineering vocabulary and architectural principles to support scalable, secure, and reliable data systems.
• Execute project planning and delivery using established project management methodologies.
Required Qualifications
• Bachelor's degree in computer science, Math, IT, Business, or equivalent work/educational experience.
• Proven experience as a Data/BI power user with strong analytical, visualization, and data consumption skills.
• Demonstrated ability to act as a business liaison, delivering both strategic and tactical solutions.
• Advanced proficiency in SQL, including SQL/NoSQL data modeling techniques.
• Advanced experience with business intelligence and data discovery tools, including Power BI, Tableau, and Alteryx.
• Strong understanding of Cloud Computing, specifically Azure.
• Familiarity with machine learning and AI technologies.
• Experience with DataOps, data engineering terminology, and modern data architecture.
• Experience in Agile environments with tools such as JIRA.
Strong ability to plan, schedule, and implement projects following standard project management practices.