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Job Summary: This role involves consuming, preparing, and integrating data from multiple sources, developing reports and dashboards, conducting diagnostic and exploratory analyses, and collaborating with stakeholders to deliver data-driven solutions. Key Highlights: 1. Working with multiple data sources and advanced BI tools 2. Developing high-complexity reports and dashboards 3. Collaborating with internal teams on data-driven solutions Description: * Bachelor's degree in Computer Science, Software Engineering, Information Systems, Systems Analysis and Development, Business Administration, Statistics, or related fields. * Advanced proficiency in BI tools (Power BI, Tableau, Looker, Qlik). * Advanced SQL for data manipulation, extraction, and analysis. * Intermediate Python for data processing, modeling, and analysis automation. * Knowledge of cloud architecture and platforms (AWS, GCP, or Azure), preferably AWS. * Understanding of data warehouse, data lake, lakehouse architecture, and best practices in data modeling. * Analytical ability, systemic vision, and attention to detail. * Strong communication skills, proactivity, and ability to collaborate across diverse departments. Bonus qualifications include: * Certifications in BI, Cloud, Python, or Data Analysis (e.g., AWS Certified Cloud Practitioner, Microsoft Certified: Data Analyst Associate, Google Data Analytics Professional Certificate). * Personal projects, dashboard portfolio, or Git repositories. * Knowledge of data governance and data quality practices. * Experience optimizing queries, pipelines, and lightweight data engineering best practices. * Consume, prepare, and integrate data from multiple sources (internal systems, APIs, files, and cloud providers such as AWS/GCP). * Validate the quality, consistency, and integrity of data used in building reports, analyses, and data products. * Develop, maintain, and enhance reports and dashboards using BI tools (Power BI, Tableau, Looker, or similar), including medium- to high-complexity deliverables. * Conduct diagnostic and exploratory analyses to identify root causes, variances, trends, and business-relevant patterns. * Prepare, visualize, and present analyses to both technical and non-technical stakeholders, translating data into actionable insights. * Collaborate with data business partners and internal teams to understand requirements and transform business needs into data-driven solutions. * Support data quality initiatives, including establishing monitoring routines, identifying anomalies, and implementing governance best practices. * Contribute to optimizing SQL queries, data modeling, and data manipulation and transformation processes (ETL/ELT). * Document data flows, data products, processes, and technical decisions clearly and reproducibly. * Mentor junior analysts and interns, supporting the team’s technical development. * Comply with internal policies, quality, safety, health, and environmental requirements, including proper use of PPE/collective protective equipment where applicable. * Perform other job-related tasks or assignments as directed by leadership. 2512250202491884768
