[Hiring] Data Analyst @VIMO INC

Role Description

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.

• 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.

Qualifications

• 5+ years of experience in Data Analysis or related fields.
• Proficient in 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.

Requirements

• 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.

Benefits

• Competitive compensation - Please note that salary and compensation may vary based on factors such as skills, experience, performance, and location.
• 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.