Senior Data Analyst | Hybrid - Full Time

Job Title: Senior Data Analyst

Location: Armenia

Role Type: Hybrid

We’re looking for a Senior Data Analyst to take end-to-end ownership of analytics for our Call Center and Developer businesses.

This is a high-ownership role. We’re looking for someone who can go beyond responding to analytics requests: understand the business, identify the right questions to ask, build the data foundation needed to answer them, and turn data into insights that influence decisions.

What you’ll do

• Own analytics end to end for our Call Center and Developer businesses

• Partner closely 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

• Proactively identify areas that require deeper analysis rather than waiting for requests

• Communicate findings clearly, including the reasoning, assumptions, and limitations behind the analysis

• Apply data science and statistical methods where they provide value to business or product decisions

• Use AI agents and AI-assisted workflows extensively to accelerate analysis, investigation, reporting, and day-to-day work

• Take ownership of data quality and investigate inconsistencies when the numbers do not make sense.

What we are looking for

• 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 both technical and non-technical stakeholders

• High level of proactivity and the ability to identify what needs to be done without waiting for detailed instructions

• Strong sense of ownership, with the ability and willingness to own an analytics domain from problem definition through implementation and communication of results

• Ability to challenge assumptions, validate conclusions, and dig deeper when the data tells an unexpected story

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative field

We’re looking for someone who wants to own a business area, understand it deeply, and become the person the team relies on for data-driven understanding and decision-making.