Formamos parte de una organización dinámica y flexible con gran capacidad de adaptación y compromiso.
Valoramos las competencias, habilidades, experiencia y potencial de las personas, así como sus cualidades personales, aplicando dichos valores tanto a nuestro trato con los clientes como entre nosotros.
We’re looking for a BI Analyst/Engineer to design and maintain semantic data models and high-quality dashboards in Power BI and Sigma.
You’ll ensure reporting artifacts are governed, validated, and optimized for scale—empowering teams to trust the data from day one.
Semantic Data Modeling: Design star schemas, fact/dimension tables with consistent KPIs, RLS (row-level security), and complete documentation (schemas, lineage, data dictionaries).
Make models modular and reusable.
Automated Validations: Build pre-publish checks on row counts, freshness, and metric parity.
Display validation status on dashboards.
Implement CI/CD pipelines for BI asset deployment (PBIX, Sigma, etc.).
Executive Dashboards: Develop high-impact reports across revenue, attendance, engagement, and ops metrics.
Monitor usage, embed telemetry, and continuously optimize or deprecate unused assets.
QA Visibility: Integrate data quality test results (e.g., pass/fail flags) into reports.
Work with Data Engineering and DQ teams to align tests and data contracts with the BI layer.
Training & Governance: Coach analysts on model extensions, best practices, and efficient queries.
Maintain full documentation in Confluence or a BI catalog/portal.
Power BI: Advanced use of Power BI Desktop (DAX, M/Power Query) and Service.
Familiarity with aggregations, incremental refresh, performance tuning.
Sigma: Strong understanding of joins, filters, parameters, and RLS.
Comfortable writing performant SQL queries.
SQL & ETL: High proficiency in SQL (e.g., Snowflake) and data pipelines (dbt, Azure Data Factory).
Validation Automation: Ability to script and schedule validation logic using Python or SQL.
Knowledge of CI/CD for BI (Azure DevOps, GitHub Actions).
Analytics: Familiarity with GA4, GTM, UTMs, and attribution tracking.
Collaboration & Docs: Use Jira/ServiceNow for project tracking.
Maintain clear, reusable documentation (Confluence, Scribe, etc.).