About Krisp
Krisp develops AI products for meeting assistance, call center productivity, and voice AI, including transcription, speech analytics, noise cancellation, and voice translation.
Responsibilities
•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
Requirements
•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
Conditions
•Work location: Armenia
