Production Support Analyst

Description:

• Develop and implement pipelines that extract, transform, and load data into an information product that helps the organization reach its strategic goals

• Create and maintain scalable, high-performance data extract jobs

• Translate complex technical and functional requirements into detailed designs

• Ability to research, analyze and resolve operational issues in a timely manner

• Provide root cause analyses to identify and proactively prevent future issues

• Strong experience in working with large volumes of data to include integration, architecture, cleansing, and engineering

• Knowledge of production support concepts such incident reporting, testing, debugging, monitoring, and audits

• Working knowledge of APIs and Javascript

• Skill in creating and maintaining technical documentation to include runbook creation for routine or repeatable operations

• Possess excellent interpersonal skills to include teamwork, facilitation, and negotiation

• Ability to work independently or as part of a team to resolve issues

• Effective written and verbal communication skills

• Demonstrate an ability to work under pressure, manage competing priorities and meet or exceed expectations regarding issue identification, resolutions and communication.

• Actively own and coordinate issue resolution between departmental and support partners

• Prioritize issues in alignment with Marketing and other affiliated partners who are dependent on issue resolution

• Assess issues and communicate an ETA for issue resolution based on agreed-upon time frames to the appropriate CE and departmental partners

• Communicate resolution of issues with CE and departmental partners based on agreed-upon time frames

• Develop and maintain data pipelines using ETL processes

• Automate File upload monitoring

Required skills and qualifications

• 3 years Experience with Snowfalke SQL

• 2 years experience with Tableau

• 1 year Experience with Python

• 1 year experience with Smartsheet Datamesh

• Understanding of data-warehousing and data-modeling techniques

• Knowledge of industry-wide visualization and analytics tools including Tableau

• Good interpersonal skills and positive attitude

• Ability to develop effective working relationships