Description

You will maintain the operational reliability of customer engagement modeling and analytics software applications.

Responsibilities

• Monitor and maintain the operational readiness of client systems to ensure model data flows and dashboard extracts execute daily.
• Diagnose and resolve application issues to maintain performance for downstream users.
• Own and coordinate issue resolution between departmental and support partners, providing ETAs and status updates.
• Develop automated processes and technical documentation, including runbooks for repeatable operations.
• Prioritize technical issues in alignment with marketing and affiliated partners.

Required Skills

• 5+ years of experience in production support or data engineering roles.
• Strong proficiency in SQL and Python.
• Hands-on experience with Machine Learning techniques, specifically decision tree and random forest modeling.
• Experience supporting Snowflake, Dataiku, and Tableau SaaS operations, including flow and extract automation.
• Working knowledge of Tableau Desktop for dashboard development.
• Experience managing large volumes of data involving integration, architecture, cleansing, and engineering.
• Knowledge of APIs and Javascript.
• Experience with production support concepts: incident reporting, testing, debugging, monitoring, and audits.
• Ability to work with SAS and support data science teams.

Preferred Skills

• Strong interpersonal skills for teamwork, facilitation, and negotiation.

Key Skills

Education

Any Graduate