- Location
- Tbilisi, Georgia
- Type
- Full-time
- Department
- Engineering
- Experience
- 3+ years
- Education
- Bachelor
- Source
- Pinpoint
Description
Analytics Engineer
Department: IT Business Systems/Security
Employment Type: Full Time
Location: Tbilisi, Georgia
Description
Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you.
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and optimistic at Intermedia, we invite passionate, creative, and talented people to join us — here you can indulge your passion for creating and supporting great cloud technology. What's more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years!
Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other's back!
Are you ready to make your mark?
What You'll Do:
- Work directly with business stakeholders to understand their domain and translate questions into data solutions — delivering iteratively from quick explorations to production-ready data products
- Design and build data models (dimensional models, semantic layers) and implement them as Snowflake views, DBT marts, and Power BI datasets
- Build and optimize Power BI semantic models (DAX, Power Query) and design reports that surface your models effectively
- Write consumption-layer SQL (views, transforms, analytical queries) across Snowflake and SQL Server to serve downstream analytics
- Consolidate data solutions into modern analytics platforms, improving consistency and reducing technical debt
- Define and document metric definitions, business logic, and data product specifications
- Design and implement data quality tests (dbt tests, SQL validations) and contribute to the team's testing standards and governance framework
- Collaborate with Data Engineers through code reviews, shared planning, and PR-based workflows
What You Will Bring to the Role:
- Bachelor's degree in Computer Science, Data Analytics, Statistics, Mathematics, Economics, or related quantitative field
- 3–5 years of experience in analytics engineering, data analysis, BI engineering, or related roles
- Curiosity and drive to deeply understand the business domains you support
- Strong SQL skills: complex queries, window functions, CTEs, performance tuning across cloud data warehouses
- Experience with data modeling — dimensional models, semantic layers (Power BI datasets, SSAS tabular), or structured consumption models
- Proficiency in Power BI: report design, DAX, Power Query, and data model optimization
- Understanding of data visualization best practices — you care about how information is presented, not just that it renders
- Experience with Snowflake or a similar cloud data platform
- Experience working across multiple data sources and environments (data warehouses, operational databases, APIs)
- Familiarity with Git-based development workflows — branching, pull requests, code review, and working across dev/staging/prod environments
- Comfortable presenting to business stakeholders and explaining data concepts in plain language
- Comfortable working in agile sprints with iterative delivery
Even Better If You Have
- Experience using AI coding agents (GitHub Copilot, Codex, Claude Code, or similar) to accelerate development, analysis, or documentation
- Experience with DBT for data transformations
- Python for data analysis, scripting, or automation
- Experience with MicroStrategy reporting or administration
- Familiarity with data catalog or data governance tools
- Background in telecommunications, SaaS, or B2B industries
Skills
PythonSQLSQL ServerSnowflakeGitGitHubPower BI
