Middle Data Analyst

About the role:

We’re looking for a middle-level Data Analyst to help drive - and grow with - our rapidly scaling Data Management practice. You’ll turn business questions into clear insights, build Tableau dashboards, and partner with data engineers across modern analytics stacks (DWH, Lakehouse).

Location - Tbilisi

Level of English - B2

Requirements:

• 3–5 years in analytics/BI roles.

• Strong hands-on Tableau (calcs, parameters, LODs, actions, performance tuning).

• Proficient SQL (joins, window functions, CTEs).

• Experience delivering on Data Warehouse and/or Lakehouse projects (star/snowflake modeling, ELT/ETL concepts).

• Solid dashboard UX sense and data storytelling skills.

• Clear communication and stakeholder management; English for day-to-day work.

Responsibilities:

• Design, build, and maintain Tableau dashboards and data visualizations.

• Gather and translate requirements into analytical specs; define metric formulas, grains, and filters.

• Write efficient SQL to explore data, validate results, and prepare curated datasets.

• Collaborate with Data Engineering on semantic layers and datasets sourced from DWH/Lakehouse platforms.

• Ensure data quality via QA checks and concise documentation.

• Present findings, run demos, and iterate based on stakeholder feedback.

Nice to have:

• Tableau certification.

• Experience with other BI tools (Power BI, Looker/Looker Studio, Metabase, Datalens, Apache SuperSet).

• Familiarity with modern stacks (Snowflake, BigQuery, Redshift, Databricks, Apache Spark, dbt).

• Basics of Git and dashboard governance (RLS, permissions, content lifecycle).