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Data Analyst

Role overview

Qualifications

  • Detail-oriented data analyst with proven experience owning data integrity across reporting ecosystems (data flows, ETL/ELT, data warehouse, and BI).
  • Hands-on experience with ETL/ELT pipelines, data warehousing, and building dashboards in BI tools (e.g., Sisense, Tableau, Power BI).
  • Familiarity with call center platforms (Nice CXOne, Five9, Genesys, Avaya) and cross-system data mapping between call center metrics and CRM, WFM, ticketing, and financial systems.
  • Strong collaboration and communication skills with the ability to document data dictionaries, field mappings, and transformation logic; partner effectively with engineering and platform teams.

Responsibilities

  • Monitor, validate, and maintain data flows from call center platforms 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 root cause analysis and fixes.
  • Map call center data (call volumes, handle time, CSAT, agent metrics) to data from CRM, workforce management, ticketing, and financial systems.
  • Build and maintain documentation for data dictionaries, field mappings, and transformation logic; develop dashboards and reports in BI tools to provide operational views.

About the company

Vimo logo

Vimo

GovTech & Civic Tech

Vimo® started as the “Expedia” of health insurance, and now we’re transforming government IT infrastructures with our proven SaaS and AI technology. Our innovative approach to health insurance shopping and enrollment has expanded beyond exchanges, and we’re now reinventing the way states administer safety net programs such as Medicaid, SNAP (food stamps), child care, and unemployment insurance. With our cutting-edge technology, we’re helping agencies help more people, faster, and transforming healthcare service delivery as we know it.

Company details

Company typeSME
IndustryGovTech & Civic Tech
Company size501 - 1000

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Job description

About VIMO:

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.

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

Compensation and Benefits:

  • Competitive compensation - Please note that salary and compensation may vary based on factors such as skills, experience, performance and location.
  • We offer a comprehensive benefits package, including but not limited to: Health, Dental, Life, Disability, and Vision insurance
  • Healthcare spending or reimbursement accounts (HSA/FSA)
  • Retirement benefits (401k)
  • Paid time off
  • Holidays: 13 paid days per year
  • Education assistance or tuition reimbursement-
  • Employee discounts for Gym memberships & commuting/travel assistance

Our Vaues:

  • We believe that working hard, when it is imbued with purpose, can and should be fun.
  • You’ll find we are a “can do” place where people work together and roll up their sleeves to get the job done.
  • Everyone has a voice; everyone’s ideas count, and everyone is respected.
  • We have built a company, as well as a community of friends and colleagues, with respect for each other.

Information Security & Data Protection:

  • This role may involve access to sensitive or regulated information. The candidate is expected to handle all data in accordance with company security, privacy, and data protection policies.
  • Compliance with access control, data classification, and applicable legal and regulatory requirements is required.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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