About the Role
You will own end-to-end data pipelines build trusted metrics and enable CX stakeholders to make faster better decisions with clean reliable data. You will design and maintain dashboards and data models ensure data quality and partner with CX Operations Compliance and Product teams to translate business needs into data solutions. You will help automate recurring workflows and share learnings with broader data teams.
Requirements
- 3+ years of experience in analytics engineering or related data role building and maintaining data pipelines and models.
- Proficiency in SQL and experience with modern data stack tools such as dbt, Airflow, and cloud data warehouses Snowflake or Databricks.
- Experience with data modeling concepts dimensional modeling star and snowflake schemas and building trusted well documented data products.
- Familiarity with BI visualization tools Looker Tableau or similar and experience building dashboards and self serve analytics solutions.
- Track record of partnering with non technical stakeholders to translate business needs into data solutions.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business ready outputs and drive measurable improvements in workflow efficiency cost and quality.
Responsibilities
- Own the design build and maintenance of data models and pipelines that support CX operations, compliance reporting, and customer insights.
- Partner with CX Operations, Compliance, and Product teams to translate business needs into data requirements and deliver self serve analytics solutions.
- Build and maintain dashboards, metrics, and reporting tools that give CX leaders visibility into performance, customer trends, and compliance health.
- Drive data quality and governance within the CX data domain by implementing testing, monitoring, and documentation standards.
- Identify opportunities to automate recurring data workflows and reporting processes.
- Collaborate with broader Data Engineering and Analytics teams to align on best practices, share learnings, and contribute to the broader data infrastructure.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- 401(k) retirement plan
- Equity and bonus eligibility
- Remote work options