Lead DevOps Engineer

About the position

The Data Analyst will play a crucial role in our internal Data/Analytics team, responsible for developing and maintaining data-driven insights while leveraging both traditional analytics and AI solutions. This position combines expertise in data analysis, AI implementation, and business intelligence to deliver actionable insights and drive operational excellence. The ideal candidate will utilize advanced analytics tools, AI technologies, and traditional data analysis methods to optimize business processes and create innovative solutions. The Data Analyst role requires an ability to see problems in process, recommend solutions that will be beneficial to the end user, and produce high integrity data. You should be an expert at analyzing large data sets, enjoy diving deep into data analysis, discovering root causes, and designing long-term solutions. Members of the data team should be effective communicators capable of driving solutions and communicating insights to non-technical audiences.

Responsibilities

• Design and implement data analytics solutions using both traditional and AI-driven approaches.
• Develop and manage AI workflows to automate data processing and analysis.
• Identify process inefficiencies and propose AI-enabled solutions to optimize workflows.
• Build, maintain, and optimize complex data architectures to support business intelligence initiatives.
• Collaborate with business leaders to understand operational needs and implement data-driven solutions.
• Create and maintain datasets, dashboards, and reports using Domo.
• Ensure data quality, integrity, and compliance across platforms.
• Continuously optimize AI-driven data solutions for improved efficiency and accuracy.
• Present complex analytical findings in a clear, concise manner to non-technical stakeholders.

Requirements

• 1-3 years of experience in data analytics is required.
• Expert-level SQL proficiency (MySQL, Redshift).
• Expert-level Excel skills, including data modeling and automation.
• Expert-level Domo experience (dashboarding, data transformation, and visualization).
• Experience with AI/ML tools and platforms, with an ability to implement AI-driven solutions.
• Proficiency in Python or R, particularly with AI/ML libraries.
• Familiarity with AI workflow automation tools to streamline data processes.
• Strong problem-solving skills and a data-driven mindset.
• Excellent communication skills, with the ability to translate data insights into business recommendations.
• Bachelor's degree in Mathematics, Statistics, Physics, Information Systems, or Analytics preferred.

Benefits

• Competitive compensation
• 100% medical premium coverage
• 401(k) plan with company match
• Generous PTO packages that increase with tenure
• Schedule flexibility
• Fitness clubs
• Company parties and employee recognition programs
• Wellness programs (free Fitbit, gym membership and athletic shoe reimbursements, etc.)
• Onsite physician and massage therapist
• Innovation center and gaming rooms at the office
• Dental/vision plans
• Employer paid life insurance policy