Senior Analytics Engineer

Summary

Join Mux as an Analytics Engineer and become a cornerstone of our data infrastructure, ensuring seamless operation of our internal data warehouse. You will manage and optimize the data warehouse using dbt, leveraging expertise in SQL and data modeling. This highly collaborative role requires close work with engineers and business stakeholders to understand the data lifecycle. You will contribute to our business intelligence ecosystem using tools like Looker and Hex, ensuring data accuracy and reliability. The role involves building robust data models, implementing data quality practices, and managing data integrations. You will also advocate for and train teams on best practices for data management and modeling. The position offers a competitive salary and a comprehensive benefits package.

Requirements

• 4+ years of experience in Analytics Engineering, Data Engineering, or a related field
• Advanced proficiency in SQL, data modeling, and working with dbt
• Deep understanding of data quality frameworks and familiarity with tools such as Metaplane
• Experience with Snowflake and managing modern data workflows
• Strong ability to collaborate across technical and non-technical teams, including engineering, sales, and customer-facing roles
• Familiarity with data integration into internal systems (e.g., Salesforce, Zendesk)

Responsibilities

• Own and manage the Mux data warehouse (Snowflake) and oversee workflows through dbt
• Build, optimize, and maintain robust data models that serve as the foundation for analytics and decision-making
• Implement and oversee data quality practices using tools like Metaplane and Monte Carlo
• Manage data integrations with internal tools and systems (e.g., Salesforce, Zendesk, etc.)
• Collaborate with cross-functional teams to understand business requirements and align data solutions
• Contribute to the business intelligence layer, ensuring it delivers actionable insights (Looker experience preferred)
• Advocate for and train teams on best practices for data management and modeling

Preferred Qualifications

• Experience navigating and contributing to business intelligence platforms (e.g., Looker)
• Python experience for data transformations and workflow automations

Benefits

• Flexible PTO + 11 company holidays
• Weekly no-meeting days + quarterly focus weeks
• Healthy work-life balance encouraged
• Competitive health, dental, and vision insurance (100% employee and 65% dependent premium coverage)
• Fully funded fertility benefits
• HSA available, compatible with high deductible plan only ($100 per single employee/month & $200 per family/month employer contribution)
• FSA available
• Short-term and long-term disability insurance
• Group life insurance
• Travel accident insurance
• Employee Assistance Program (EAP)
• Medical support concierge service
• 401(k)
• Paid parental leave
• Investment in career growth through professional development stipend
• Reimbursements for headphones, cell phones, device upgrades, and SVoD services of Mux customers
• Lunch reimbursement program