Analytics Engineer

About the role

We are looking for an Analytics Engineer to join our fast‑growing digital products team. You will turn raw data into actionable insights, help shape product strategy, and support business decisions with data‑driven analysis.

Key responsibilities

• Work with databases to ensure data collection, quality monitoring, processing, and preparation for analysis.
• Analyze digital‑product data, implement analytical tools, and identify growth and improvement opportunities.
• Study user behavior across onboarding, activation, and conversion funnels to pinpoint churn risks and growth potential.
• Collaborate with product, marketing, and management stakeholders to translate business questions into analytical tasks.
• Leverage AI techniques to improve workflow efficiency and analytical processes.
• Define, monitor, and report on core product KPIs such as DAU, MAU, retention, and churn.
• Create automated Power BI dashboards and reports to enable rapid, data‑based decision‑making.

Required profile

• At least 2 years of experience in analytics engineering, data or product analytics, or a closely related field.
• Strong, hands‑on knowledge of SQL and experience working with relational databases.
• Proven data‑wrangling skills – ability to structure, clean, and transform complex raw datasets.
• Experience with Power BI (or comparable data‑visualisation tools) to build interactive reports.
• Demonstrated ability to work with business stakeholders, translating technical concepts into business language.
• Familiarity with digital‑product metrics such as funnels, retention, cohorts, and conversion.
• Proactive, analytical mindset – you ask “why?” and seek data‑backed answers.

Required skills

• SQL
• Power BI
• Data wrangling

What we offer

• Opportunity to shape the digital future of Georgia’s telecom sector.
• Collaborative, innovative environment with cross‑functional teams.
• Access to modern data tools and AI resources.