• Se busca un desarrollador con experiencia y conocimientos sólidos en Business Intelligence (BI), capaz de analizar e interpretar datos en diversas estructuras, medidas, ratios, intervalos, categorías, estadísticas y realizar predicciones. • Posee habilidades para el modelado, transformación, integración y explotación de datos provenientes de múltiples orígenes, así como para el diseño y creación de dashboards y reportes. • Cuenta con experiencia en la automatización de procesos, incluyendo el procesamiento ETL y la programación de scripts en lenguajes como Python, Powershell o SQL.

• Support AI and analytics initiatives through exploratory data analysis (EDA), statistical analysis, data wrangling, and practical application of low-code/no-code generative AI tools to improve IT business processes • Work closely with Data Scientists, AI Engineers, business stakeholders, and process owners to prepare high-quality datasets, uncover insights, validate assumptions, and identify opportunities to automate, simplify, and accelerate work • Extract, join, and transform data from multiple sources using SQL and/or data tools • Clean and preprocess structured and semi-structured data • Build and maintain analysis-ready datasets to support feature engineering, model development, and business reporting needs • Apply data quality checks and document findings • Perform EDA to understand data structure, relationships, distributions, anomalies, and business context • Create visualizations and summaries to communicate insights • Conduct descriptive and basic inferential statistical analyses and assist in measurement design and KPI definition • Use low-code/no-code GenAI tools to improve efficiency, speed, and quality in IT business processes • Design and implement GenAI-enabled solutions, create prompts, reusable workflows, and lightweight AI assistants • Work in technical teams focused on analytics solutions and maintain well-structured documentation

• Process and analyze financial documents received from General/Limited Partners, including capital calls, distributions, financial statements, and schedules of investments. • Access GP portals and repositories to download, categorize, and tag fund-related documents with accurate metadata. • Extract, standardize, and validate data from Private Equity documents such as Partners’ Capital Account statements, cash flow statements, and investment schedules. • Identify appropriate accounting breakouts and classify data items related to fund-level investments and portfolio companies. • Perform data quality checks, resolve exceptions raised through manual QC reviews and automated validation logs, and ensure adherence to defined data standards. • Conduct routine reporting and basic trend analysis to support internal analytics and operational insights. • Support data cleansing initiatives to improve accuracy and consistency across datasets. • Assist with process improvement, Lean initiatives, and automation efforts, including basic SQL-driven data tasks. • Maintain clear documentation of data collection and validation processes for auditability and future reference. • Collaborate with team members to deliver individual and team targets with a strong focus on quality, accuracy, and timeliness. • Participate in ad-hoc projects aligned to business expansion, data enhancement, or automation initiatives.

• Design, build, and maintain HR dashboards, reports, and analytics based on Workday data. • Use AI tools (e.g. Copilot) to enhance reporting, analysis, and data interpretation. • Translate complex HR data into clear insights and compelling visualizations. • Act as a trusted partner for HR leadership and HR Business Partners globally. • Present data, trends, and insights confidently to senior stakeholders. • Ensure data quality, consistency, and governance across global HR reporting. • Continuously improve reporting standards, automation, and analytics capabilities.