Business Intelligence Analyst & Data Engineer

DeepSource TechnologiesBusiness intelligence, data engineering

Ireland. Czechia. Slovenia. Slovakia. Croatia. PolandFull-TimeMiddle

Salary not disclosed

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Job Details

Experience: 3+ years of experience in a data engineering, BI analyst, or analytics engineering role
Required Skills: PythonSQLMicrosoft Power BITableauAirflowData modelingdbt

Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, or a related field, or equivalent practical experience.
3+ years of experience in a data engineering, BI analyst, or analytics engineering role.
Strong SQL skills, including writing complex queries, optimizing performance, and working with large datasets.
Experience building and maintaining ETL/ELT pipelines using custom scripts or tools such as Fivetran, dbt, Airflow, or Workato.
Hands-on experience with a BI or visualization tool such as Tableau, Power BI, or Looker.
Solid understanding of data modeling, including dimensional modeling, normalization, and star schemas.
Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
Ability to translate ambiguous business questions into structured data analysis.
Experience with Python or another scripting language for data manipulation and automation is preferred.
Familiarity with CRM/ERP systems such as Salesforce or NetSuite, and API integrations or workflow automation platforms such as Workato or Zapier, is preferred.
Experience building or integrating AI/LLM-powered tools into data workflows is preferred.
Familiarity with prompt engineering, retrieval-augmented generation (RAG), or agent-based analytics architectures is preferred.

Design, build, and maintain ETL/ELT pipelines that integrate data from source systems into data warehouses or data marts.
Validate, test, and monitor pipelines to ensure data quality, consistency, and integrity.
Optimize data models for reporting performance and troubleshoot pipeline failures, latency, and discrepancies.
Automate manual data processes and manage data source connections, credentials, and refresh schedules.
Build and maintain dashboards and reports that translate raw data into actionable insights.
Gather reporting requirements from stakeholders and translate them into technical specifications.
Define and maintain business metrics, a data dictionary, and a metrics glossary.
Conduct ad hoc analysis and improve reports based on dashboard usage and stakeholder feedback.
Document data lineage, business logic, and calculation methodology.
Design data structures for AI agents and natural-language query tools, and build or support AI-powered reporting assistants.
Evaluate and integrate LLM-based analytics tools and establish guardrails for AI-generated analysis.
Collaborate with department leaders and act as a technical liaison between business teams and IT/engineering.

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