Summary
Expion Health is building pharmacy economics solutions that align cost, clinical decisions, and performance through data-driven strategies. The Analyst, Production Support will monitor and resolve production issues across data pipelines, dashboards, and reporting platforms, perform root-cause analysis, maintain data workflows, automate support tasks, and improve system reliability.
Responsibilities
- Keep production running. Monitor, triage, and resolve production incidents across Qlik dashboards, Snowflake pipelines, and MySQL databases within defined SLAs
- Get to root cause. Perform root-cause analysis on data discrepancies, pipeline failures, and reporting errors, and document your findings so issues stay fixed
- Own the pipelines. Maintain and update Snowflake Snowpipes, streams, tasks, and stored procedures to keep data ingestion and processing running continuously
- Investigate with SQL. Write and optimize SQL queries across MySQL and Snowflake to track down data issues and validate fixes
- Automate the routine. Build and maintain Python scripts for data validation, automation of repetitive support tasks, and lightweight ETL operations
- Partner on dashboards. Work with Qlik developers to troubleshoot load scripts, data model issues, and visualization errors
- Communicate clearly. Share incident status, resolution progress, and post-mortems in plain language for technical and non-technical stakeholders alike
- Strengthen the system. Contribute to runbooks and knowledge base articles, and find ways to improve monitoring, alerting, and overall reliability
- Be there when it counts. Participate in an on-call rotation for critical production alerts and escalations
Skills
- • 4+ years of experience with a Bachelor's degree, or 2+ years with a Master's degree, in production support, software development, data operations, or a similar technical role. Strong development experience counts in place of direct production support experience if you can show real root-cause and problem-solving ability
- • Hands-on experience with Qlik Sense or QlikView, including load scripts, data modeling, and app maintenance
- • Proficiency in Snowflake, including querying, Snowpipe, tasks, streams, time travel, and access control
- • Strong SQL skills with MySQL, including stored procedures, query optimization, index analysis, and data validation
- • Python scripting for automation, data validation, and support tooling (pandas, boto3, requests, or similar)
- • A solid understanding of ETL/ELT concepts and data pipeline architecture
- • Familiarity with AWS services relevant to data workflows, such as S3, SQS, Lambda, or CloudWatch
- • Experience with ticketing and incident management tools such as Jira, ServiceNow, or equivalent
- • Excellent analytical and problem-solving skills with a systematic approach to debugging
- • Strong written and verbal communication skills, and comfort working asynchronously in a remote environment
- • Experience with dbt or other data transformation frameworks
- • Exposure to healthcare data, HIPAA compliance, or clinical and pharmacy datasets
- • Familiarity with Genesys or similar contact center or CRM platforms
- • Knowledge of Git and CI/CD practices for data pipeline deployments
- • Experience with monitoring and observability tools such as Datadog or CloudWatch
- • Snowflake SnowPro certification
Qualifications
Must Haves
- • 4+ years of experience with a Bachelor's degree, or 2+ years with a Master's degree, in production support, software development, data operations, or a similar technical role. Strong development experience counts in place of direct production support experience if you can show real root-cause and problem-solving ability
- • Hands-on experience with Qlik Sense or QlikView, including load scripts, data modeling, and app maintenance
- • Proficiency in Snowflake, including querying, Snowpipe, tasks, streams, time travel, and access control
- • Strong SQL skills with MySQL, including stored procedures, query optimization, index analysis, and data validation
- • Python scripting for automation, data validation, and support tooling (pandas, boto3, requests, or similar)
- • A solid understanding of ETL/ELT concepts and data pipeline architecture
- • Familiarity with AWS services relevant to data workflows, such as S3, SQS, Lambda, or CloudWatch
- • Experience with ticketing and incident management tools such as Jira, ServiceNow, or equivalent
- • Excellent analytical and problem-solving skills with a systematic approach to debugging
- • Strong written and verbal communication skills, and comfort working asynchronously in a remote environment
Nice to Haves
- • Experience with dbt or other data transformation frameworks
- • Exposure to healthcare data, HIPAA compliance, or clinical and pharmacy datasets
- • Familiarity with Genesys or similar contact center or CRM platforms
- • Knowledge of Git and CI/CD practices for data pipeline deployments
- • Experience with monitoring and observability tools such as Datadog or CloudWatch
- • Snowflake SnowPro certification
Benefits
- 100% remote, work anywhere in the US
- Medical, dental & vision insurance
- HSA & FSA options
- Access to GLP-1 weight loss program
- Short & long-term disability
- Life Insurance and AD&D
- 401(k) with company match
- Paid Time Off
- Phone & internet allowance
- Town halls & direct access to executive leadership
- A company that is genuinely investing in AI, and in you!