Senior BI Data Analyst
3400-5400 €/mėn.
neatskaičius mokesčių
CVbankas.lt calculator data.
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- CITY SERVICE įmonių grupė
I’m Donatas Šeputis, and I’m looking for a curious, experienced data professional to join us in shaping the future of data and analytics at City Service SE group.
We're building a new, modern data platform — scalable, seamlessly integrated across systems, and designed to turn data into a self-service, 'speak to your data' experience.
We're looking for a Senior BI Data Analyst to turn well-governed data into clear insight and decision-ready reporting across the business. You'll work across a modern data stack — including Microsoft SQL Server, Snowflake, Power BI, Apache Airflow, and GIT — with AI-assisted development support via Claude, partnering closely with our data engineering team to shape what gets modeled, reported, and delivered to the business.
We're building a new, modern data platform — scalable, seamlessly integrated across systems, and designed to turn data into a self-service, 'speak to your data' experience.
We're looking for a Senior BI Data Analyst to turn well-governed data into clear insight and decision-ready reporting across the business. You'll work across a modern data stack — including Microsoft SQL Server, Snowflake, Power BI, Apache Airflow, and GIT — with AI-assisted development support via Claude, partnering closely with our data engineering team to shape what gets modeled, reported, and delivered to the business.
Key Responsibilities
- Design, build, and maintain BI dashboards, reports, and self-service analytics solutions on top of our MS SQL and Snowflake environments.
- Translate business questions into data models, metrics, and visualizations that are accurate, intuitive, and reusable.
- Partner with data engineers to define requirements for the semantic/analytics layer, ensuring datasets are structured for reliable reporting.
- Write and optimize complex SQL queries for analysis, validation, and ad hoc business questions.
- Define and maintain key business metrics, KPI definitions, and a single source of truth across reporting tools (Power BI).
- Ensure data quality, consistency, and traceability in reports through validation checks and reconciliation with source systems.
- Maintain version-controlled reporting logic and documentation using Git, following review best practices.
- Collaborate with business and IT teams, gathering requirements and presenting findings to both technical and non-technical stakeholders.
- Support data security, access management, and GDPR-aligned governance practices in reporting and dashboards.
- Prepare optimized, reliable datasets and visualizations for analytics, reporting, and AI-driven analytical solutions.
- Use AI-assisted tools to accelerate analysis, documentation, and dashboard development.
- Participate in technical design reviews and propose improvements to reporting architecture and data visualization standards.
- Mentor and support the technical growth of junior/mid-level analysts.
What We Expect from You
- A university degree in Computer Science, Information Systems, Statistics, or a related field (or equivalent practical experience).
- 4+ years of experience in business intelligence, data analysis, or analytics engineering.
- Strong SQL skills, with hands-on experience in (complex queries, performance-aware query writing).
- Experience with cloud data warehousing, ideally Snowflake.
- Hands-on experience building dashboards and reports in Power BI, Tableau, or a comparable BI tool.
- Familiarity with ETL/ELT pipelines and orchestration tools such as Apache Airflow, and how they feed downstream reporting.
- Proficiency with Git for version control and collaborative development.
- Working knowledge of Python or another scripting language for data analysis and automation is a plus.
- Understanding of data warehouse and analytics architecture, including layered ("medallion"-style) data processing approaches.
- Experience ensuring data quality, accuracy, and reliability across test and production reporting environments.
- Comfort working with AI-assisted tools (e.g. Claude) as part of the analytics workflow.
- Ability to collaborate across teams, communicating insights clearly to both technical and business stakeholders.
- Independence, sense of ownership, and initiative in identifying and proposing analytical improvements.
- Experience mentoring or supporting less experienced analysts is a plus.
Why Us?
- Professional growth and development opportunities within an international group of companies.
- Real influence on how the business understands its data — not just building reports, but shaping the metrics and platform behind them.
- Help shape a platform where business users can simply ask their data questions — not just build dashboards but build the experience of querying data in plain language.
- 24/7 accident insurance in Lithuania and abroad.
- Hybrid working possibility.
Atlyginimas
3400-5400
€/mėn.
neatskaičius mokesčių
Darbo vieta
CITY SERVICE įmonių grupė
„City Service“ – tai pirmaujanti pastatų priežiūros įmonė Lietuvoje ir Latvijoje, teikianti profesionalias ir visapusiškas komercinių ir gyvenamųjų pastatų valdymo paslaugas. Turėdami ilgametę patirtį ir pirmaujančias pozicijas pramonėje, įmonių grupė teikia visą spektrą sprendimų – nuo reguliarios pastatų priežiūros iki energijos vartojimo efektyvumo projektų įgyvendinimo.
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