Senior Data Analyst

Description

Job Summary: This role involves consuming, preparing, and integrating data from multiple sources, validating data quality, developing BI reports and dashboards, conducting diagnostic analyses, and collaborating with stakeholders to deliver data-driven solutions. Key Highlights: 1. Collaborative work with various departments 2. Development and maintenance of BI reports and dashboards 3. Support and mentoring for junior analysts and interns 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 automation of analyses. * 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). * Participation in personal projects, portfolio of dashboards, or Git repositories. * Knowledge of data governance and data quality practices. * Experience with query optimization, data 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 BI 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, variations, 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-based solutions. * Support data quality initiatives, including establishing monitoring routines, identifying anomalies, and applying 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 standards, quality requirements, safety, health, and environmental regulations, including proper use of PPE/collective protective equipment where applicable. * Perform other job-related tasks or assignments as directed by leadership. 2512250202491884768