Business Intelligence Engineer
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Job Description
Business Intelligence Engineer contributing to state-of-the-art data platform for leading financial institution. Collaborating with stakeholders to transform raw data into insights-driven solutions.
Responsibilities:
- Design, develop, and maintain scalable BI dashboards, reports, and data models to support business decision-making.
- Partner with stakeholders to gather requirements and translate business needs into clear, actionable analytics solutions.
- Build and optimize SQL queries, views, and data models to ensure high performance and accuracy.
- Develop and maintain ETL/ELT pipelines to transform raw data into analytics-ready datasets.
- Ensure data quality, consistency, and reliability through validation, testing, and monitoring.
- Create and maintain documentation for data models, dashboards, and metrics definitions.
- Monitor and troubleshoot BI systems and data pipelines, resolving issues proactively.
- Support ad-hoc analysis and reporting requests from business teams.
- Collaborate with data engineers and analytics teams to improve data architecture and tooling.
- Apply best practices for data visualization, dashboard usability, and storytelling.
- Continuously improve existing reports and dashboards based on user feedback and evolving business needs.
- Ensure compliance with data governance, security, and access control policies.
Requirements:
- 3+ years of hands-on experience in Business Intelligence, Data Analytics, or related roles.
- Proven experience designing, developing, and maintaining BI solutions in production environments.
- Strong understanding of data warehousing concepts (fact/dimension tables, star/snowflake schemas).
- Proficiency in SQL (complex queries, performance tuning, optimization).
- Experience with BI and visualization tools such as Power BI, Tableau, Looker, or similar.
- Strong data modeling skills for analytical and reporting use cases.
- Experience working with relational databases (e.g., PostgreSQL, MySQL, SQL Server, Oracle).
- Familiarity with ETL/ELT processes and tools (e.g., Airflow, dbt, SSIS, Informatica, or similar).
- Experience with cloud data platforms (AWS, Azure, or GCP) and data warehouses (Snowflake, Redshift, BigQuery, Azure Synapse).
- Basic to intermediate knowledge of Python or similar scripting languages for data manipulation and automation.
- Ability to translate business requirements into scalable BI solutions.
- Ability to perform data validation, testing, and troubleshooting.
- Strong problem-solving and analytical thinking skills.
- Excellent communication skills with both technical and non-technical stakeholders.
- Experience collaborating with data engineers, product managers, and business teams.
Benefits:
- Fully remote work with flexible work hours and vacation policy.
- A diverse international work environment that promotes inclusivity and collaboration.
- Internal mentorship program.
- Additional healthcare insurance, loyalty days.
- Compensated professional development opportunities, including learning materials and certification exam fees.
- Internal events like Reiz Tech Talks and Learning Sessions.
- Team-building compensation every quarter.
- Participation in local events in Lithuania such as wakeboarding, excursions, and Meet and Eat gatherings.
- Ability to change the project you’re working on.
- Referral bonuses.
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