MongoDB Web Systems Manager 

United States, New York, New York 

820246131

This role can be based out of our New York City office or remotely in the region.

• Maintain multiple systems in Web Analytics stack (eg. Amplitude, Segment, GA4, Mixpanel, etc), being responsible for setting up the configurations, gatekeeping the metrics and dimensions' definitions, as well as connecting acting as the go-to-person for tool support
• Partner with Analytics on how to leverage Web Analytics data for advanced reporting
• Help our organization derive actionable insights through enablement on our Web Analytics stack
• Ensure systems, data pipelines, and integrations are documented and with the due monitoring process
• Work closely with other teams (Tracking, Web, and Analytics) to ensure business needs are met by our data collection
• Act as an active voice in defining the source of truth for our TOFU data
• Stay up to date with the latest industry best practices, regulations and new tools that affect web analytics reporting
• Proactively plan and organize system maintenance

• 5+ years of experience in analytics or marketing operations positions
• Vast experience acting as power user of Web Analytics and Data Visualization tools (GA360/GA4, Segment, Amplitude, Mixpanel, Data Studio, Tableau, etc).
• Experience across a variety of SQL environments (Presto/Trino, BigQuery, etc)
• Basic knowledge of ETL and Data Pipeline processes
• Knowledge of script-based Web Tracking frameworks, such as Google Tag Manager, Segment, etc.
• Excellent organizational, project management, communication skills, and script governance skills
• Natural drive for innovation and creative problem-solving
• Bachelor's Degree focusing on Information Technology, Marketing, Digital, Business Analytics, Computer Science or related preferred
• Excellent organizational, project management, communication skills, and script governance skills
• Natural drive for innovation and creative problem-solving
• Bachelor's Degree focusing on Information Technology, Marketing, Digital, Business Analytics, Computer Science or related preferred

• Experience with B2B and PLG
• Advanced knowledge of Salesforce infrastructure.
• Experience with CDPs (Segment, mParticle, Treasure Data, etc…)