data analyst for call center and developer businesses

Krisp develops AI products for meeting assistance, call center productivity, and voice AI, including transcription, speech analytics, noise cancellation, and voice translation.

• Own analytics end to end for the Call Center and Developer businesses
• Partner with product, engineering, and business teams to understand their goals and translate them into measurable metrics
• Define and maintain key business and product metrics
• Analyze large and complex datasets to identify patterns, opportunities, and problems
• Build and maintain data models that provide reliable foundations for analysis and reporting
• Build reports and dashboards that make important metrics easy to understand and act on
• Identify areas requiring deeper analysis proactively
• Communicate findings clearly, including the reasoning, assumptions, and limitations behind the analysis
• Apply data science and statistical methods where they add value to business or product decisions
• Use AI agents and AI-assisted workflows extensively to accelerate analysis, investigation, reporting, and day-to-day work
• Own data quality and investigate inconsistencies when the numbers do not make sense

• Strong professional background in data analytics, with exposure to data science and statistical analysis
• Excellent SQL skills and experience working with complex datasets
• Strong understanding of data modeling and analytical data structures
• Hands-on experience with dbt Cloud, including building and maintaining analytical models
• Hands-on experience building reports, dashboards, and analytical models
• Advanced knowledge of AI agents and demonstrated ability to use them effectively in analytical workflows
• Ability to translate ambiguous business questions into structured analyses
• Strong analytical thinking and exceptional attention to detail
• Excellent communication skills, including the ability to explain complex findings clearly to technical and non-technical stakeholders
• High proactivity and ability to identify what needs to be done without waiting for detailed instructions
• Strong sense of ownership and ability and willingness to own an analytics domain from problem definition through implementation and communication of results
• Ability to challenge assumptions, validate conclusions, and investigate unexpected data
• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative field

• Work location: Armenia