Julian Ricaurte

About

Detail-oriented BI Analyst with 7+ years of experience building Power BI dashboards, KPIs, and automated reporting workflows across multinational organizations. Experienced in collecting, cleaning, and interpreting multi-source datasets (APIs, spreadsheets, SQL Server/SSAS) to deliver accurate, actionable insights for operational planning. Skilled in predictive modeling (SPSS), data management (OLAP cubes, SQL Server, Azure Stack), and stakeholder reporting for HR and executive leadership.

Experience

• Business Intelligence (BI) Analyst — Data Analyst · Kantar01-01-2025 – 03-31-2026

  • Developed customized dashboards and visualizations in Power BI to support data-driven decision-making for multinational consumer research clients — tracking brand health, NPS, and market share as key performance indicators (KPIs) across multiple product lines. • Collected, cleaned, and interpreted large datasets from multiple sources (APIs, spreadsheets, and marketing platforms), ensuring 100% accuracy before every client report delivery. • Collaborated with cross-functional client teams to identify business needs and define actionable KPIs aligned with operational planning and business intelligence initiatives. • Analyzed business data to generate meaningful insights and reports, applying predictive modeling (SPSS) to forecast consumer behavior and recommend improvement strategies. • Supported pipeline structuring and data model improvements with the engineering team to automate reporting workflows and increase business intelligence efficiency.

• Senior BI Analyst — HR & Operations Analytics · Teleperformance2019 – 2024

  • Designed and maintained dashboards and visualizations in Power BI and R-based statistical models to support data-driven decision-making for LATAM workforce operations covering 5,000+ employees across multiple business units. • Defined and monitored 30+ key performance indicators (KPIs) — including attrition, productivity, and NPS — collaborating with HR, Finance, and Operations departments to identify business needs and support business intelligence initiatives. • Collected, cleaned, and interpreted large datasets from multiple sources (SQL Server, SSAS OLAP cubes, flat files, APIs), delivering actionable insights that directly supported operational planning and strategic decision-making. • Automated reporting workflows using Python and Power Automate, reducing report delivery time by 50% and increasing analytical capacity for monitoring business performance. • Presented monthly trend analyses and business intelligence reports to C-level and regional management, translating complex data into clear and actionable recommendations. • Deployed business intelligence reports via Microsoft Report Server, SharePoint, and Azure BI stack — ensuring self-service analytics availability across all departments.

• Technical Support Agent — Process Improvement Contributor · Teleperformance2016 – 2019

  • Delivered bilingual (Spanish/English) technical support while contributing to operational process improvement initiatives that built foundational skills in data documentation and reporting. • Identified patterns in support data to recommend operational improvements — early experience in analytical problem-solving and collaborative team environments.

Education

• Universidad ECCIB.Sc. Systems Engineering, Systems Engineering

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