Data Analyst

VIMO INC•Mountain View, CA

13d•Remote

About The Position

Vimo® started as the “Expedia” of health insurance and has evolved into a leader in transforming government IT infrastructure with its proven SaaS and AI technology. Our innovative approach to health insurance shopping and enrollment has expanded beyond exchanges, and we are now reinventing how states administer safety net programs such as Medicaid, SNAP (food stamps), child care, and unemployment insurance. With our cutting-edge technology, we are helping agencies serve more people, faster, and transforming healthcare service delivery as we know it. We are looking for a detail-oriented Data Analyst to own the integrity, flow, and delivery of data across our reporting ecosystem — with a particular focus on call center operations. You will serve as the connective tissue between source systems, data pipelines, and BI platforms, ensuring that reports are accurate, timely, and meaningful to the teams that rely on them. This role is equal parts investigator, data steward, and reporting partner.

Requirements

5+ years of experience Data Analysis or related fields
Proficient SQL — complex joins, CTEs, window functions, query optimization
Hands-on experience with BI platforms (Tableau, Power BI, Looker, or similar)
Familiarity with ETL/ELT tools or data pipelines (dbt, Fivetran, Airflow, or similar)
Experience working with call center or contact center data
Strong analytical thinking and attention to data detail
Ability to communicate technical findings to non-technical stakeholders

Nice To Haves

Python or R for data wrangling and automation
Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
Knowledge of call center KPIs: AHT, FCR, ASA, CSAT, NPS
Familiarity with data governance or cataloguing tools
Experience with CRM data and WFM systems
Background in operations analytics or workforce management

Responsibilities

Monitor, validate, and maintain data flows from call center platforms (e.g., Nice CxOne, Five9, Genesys, Avaya) through ETL/ELT pipelines into the data warehouse and BI layer
Triage and resolve data discrepancies, reporting anomalies, and integration issues across systems — owning the problem through to root cause and fix
Map how call center data (call volumes, handle time, CSAT, agent metrics) joins with data from CRM, workforce management, ticketing, and financial systems
Build and maintain documentation for data dictionaries, field mappings, and transformation logic
Partner with engineering and platform teams to surface pipeline failures, schema changes, or upstream data quality issues before they reach end-users
Develop and sustain dashboards and reports in BI tools (e.g., Sisense, Tableau, Power BI) that consolidate cross-system metrics into operational views
Conduct ad hoc analysis to support operations, finance, and workforce planning teams
Define and monitor data quality checks and alerting for key reporting metrics
Communicate data nuances and known limitations to business stakeholders clearly and proactively