We are looking for a Senior Data Analyst to assist with monitoring and managing the end to end suite of key services. In this role, you will monitor the status and performance metrics of services and devices customers rely on on a daily basis and perform ad hoc analytic requests to synthesize information; support device families while assuring performance levels, and ensure the customer experience and service uptime meets/exceeds expectations.
— Quickly respond and drive potential issues impacting service levels to resolution or proper escalation
— Create dashboards, drive analytics ingestion efforts and develop service performance monitoring/alerting in Splunk
— Input on client service catalog development including identifying dependencies, deficiencies and performance reporting methodologies on services
— Timely and frequent communication impact/status on potential incidents and issues resolution
— Responsible for proactive detection of service impacting performance faults through monitoring, alerts, etc.
— Documentation of application flows, proper service monitoring and resolution playbooks
— Work cross-functionally on a technical level with engineering and development groups, maintaining end to end consideration with regard to service impact
— On-call duties as required
— Recommend and implement solutions to mitigate issues and ensure early detection, play a key part in constant improvement process.
— Communicate/escalate issues to appropriate functional areas with relevant evidence
— 3+ years of experience in data analytics
— Working experience with SQL
— Familiarity with data storage and ETL pipelines
— 3+ years of experience working with log and service monitoring tools (Splunk, Datadog, Dynatrace, etc)
— Familiarity with task management systems (Jira)
— Passionate team-player
— Ability to learn quickly
— Good written and spoken English
— Experience in supporting services in a customer service provider or product environment
— Computer science fundamentals
— Knowledge of basic Linux commands
— Experience with Athena, Tableau, Red Shift
— Knowledge of data structures, algorithms, design patterns
— Familiarity with AWS services
— Demonstrated leadership, communication, and customer service skills