Data Analyst

Volimox builds and manages AI voice agents and workflow automation solutions that connect customer conversations with business systems. The Data Analyst will transform operational and customer interaction data into actionable insights by collecting and organizing data, building reports and dashboards, performing statistical analyses, maintaining data models, and collaborating with engineering, product, and client-facing teams.

Responsibilities:

• Collecting, cleaning, and organizing data from multiple systems
• Building reports and dashboards to track performance of voice agents and automated workflows
• Supporting data-driven decisions across product and operations
• Developing and maintaining data models
• Performing statistical analyses
• Identifying trends and opportunities to improve efficiency, accuracy, and customer experience
• Collaborate closely with engineering, product, and client-facing teams to define metrics
• Translate business questions into analytical approaches
• Present findings in a clear and accessible way

Requirements:

• • Strong analytical skills and demonstrated experience in data analytics to interpret complex datasets and generate insights
• • Knowledge of statistics and applied statistical methods for hypothesis testing, forecasting, and performance measurement
• • Experience with data modeling and designing data structures that support reporting, dashboards, and scalable analysis
• • Effective communication skills to explain technical findings to non-technical stakeholders and collaborate across teams
• • Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related discipline, or equivalent practical experience
• • Ability to work on-site in Secaucus, NJ and manage multiple projects with attention to detail and data quality
• • Proficiency with data tools (e.g., SQL, Excel, BI platforms such as Tableau or Power BI) and familiarity with scripting languages like Python or R is beneficial
• • Experience working with operational, customer support, or workflow automation data is a plus