Carlos Pimentel

I design and deliver decision-ready analytics by combining business intelligence, analytics engineering, and automated reporting.Based in Copenhagen, Denmark.

Decision-Ready Analytics Strategy

I translate business questions into clear metrics and decision frameworks, ensuring analytics directly supports real outcomes, not just reporting.

  • Anchor analytics in real business and financial decisions.

  • Translate ambiguity into clear metrics and success criteria.

  • Frame problems before building solutions.

  • Align stakeholders on what matters and why.

  • Avoid vanity dashboards and metric overload.

Impact & Accountability & Adoption

I take responsibility for analytics outcomes, ensuring metrics are owned, governed, trusted, and consistently used in real decision-making.

  • Establish metric ownership and governance to keep analytics consistent at scale.

  • Align KPI definitions with business and financial decision needs.

  • Drive adoption through clarity, documentation, and accountable delivery.

Analytics in Finance & Regulated Environments

Experience delivering analytics in environments governed by strict regulatory, data protection, and audit requirements.

  • Worked with analytics contexts influenced by central banking, healthcare, and financial regulation.

  • Built reporting and analytics involving sensitive and personal data, with strong emphasis on controls and data protection.

  • Designed analytics to meet governance, auditing, and regulatory scrutiny expectations.

Selected Work & Real Impact

  • Pioneered BI data governance and metric ownership in healthcare, establishing KPI definitions as a single source of truth and reducing metric misalignment by ~30–40%.

  • Embedded AI-assisted insights into reporting, reducing ad-hoc analysis requests by ~20–30% and improving decision turnaround.

  • Automated financial and operational reporting, removing ~20–40 hours/month of manual effort through KPI-triggered delivery.

  • Built financial data quality and control reporting for profitability, cost–revenue alignment, and liquidity, identifying material discrepancies (≈ 0.9M DKK revenue impact; ≈ 0.4M liquidity exposure) and improving trust in financial metrics.

Analytics Architecture & Data Modeling

I define and maintain the analytics data layer, turning complex and fragmented data into scalable, decision-ready models that teams can trust.

  • Build and maintain a reliable analytics data layer.

  • Design business-friendly models aligned with financial and operational logic.

  • Standardize KPIs and definitions across teams.

  • Ensure data models scale with business growth and reporting demands.

Automation & AI-Augmented Analytics Delivery

I automate analytics delivery and apply AI where it meaningfully improves speed, clarity, and communication, without adding operational complexity.

  • Automate recurring reporting, data preparation, and delivery workflows.

  • Use AI-assisted tools to accelerate analysis, documentation, and presentation.

  • Reduce manual effort while maintaining reliability and control.

Interactive CV & Behavioral Insights

  • View my complete CV with extended detail beyond a traditional resume.

  • Explore my professional experience, decision-making approach, and cognitive style.

  • Assess how I think, prioritize, and handle real scenarios based on past work.

  • Review how I communicate complex topics and explain trade-offs to non-technical stakeholders.

  • Understand my behavioral profile through structured, scenario-based prompts.

  • Access is restricted to recruiters and hiring managers.

Contact me

Created by © Carlos Pimentel - 2026