Analista de BI
Accountabilities Design and model analytical data repositories that support business intelligence, reporting, and informed decision-making.
Develop, maintain, and optimize data extraction, transformation, and loading processes using ETL/ELT methodologies.
Assess data quality, integrity, and consistency, identifying discrepancies and implementing improvements to ensure reliable analytical outputs.
Build, maintain, and enhance Business Intelligence dashboards, reports, and executive panels that communicate key insights clearly and effectively.
Contribute to the definition and evolution of analytical architectures and enterprise data models.
Integrate data from multiple sources and systems, ensuring that information is consolidated, accessible, and suitable for analysis.
Collaborate with business stakeholders to define performance indicators, metrics, reporting requirements, and management visualizations.
Translate business needs into analytical solutions that support operational monitoring, strategic planning, and performance evaluation.
Identify opportunities to improve data analysis workflows, business intelligence processes, and data governance practices.
Promote consistency and reliability across analytical models, reporting processes, and data assets.
Requirements:
A university degree in Information Technology, Data Science, Engineering, Mathematics, Statistics, Physics, Chemistry, or a related field.
Experience designing and implementing data models for analytical environments.
Practical experience developing and maintaining ETL/ELT processes for data integration and transformation.
Advanced SQL skills and strong knowledge of databases, including the ability to query, structure, and optimize data for analytical use cases.
Experience creating dashboards, reports, and executive visualizations that communicate business performance and actionable insights.
Knowledge of Business Intelligence, analytics methodologies, and data warehousing concepts.
Experience evaluating, monitoring, and improving data quality, integrity, and consistency.
Ability to translate business requirements into effective analytical models, metrics, and reporting solutions.
Strong analytical thinking, attention to detail, and problem-solving skills.
Effective communication and collaboration skills, with the ability to work with business stakeholders and technical teams.
Nice-to-have qualifications:
Microsoft Power BI certification.
Experience working with Microsoft Fabric.
Experience using Databricks for data processing and analytics.
Knowledge of data lake and data warehouse architectures, as well as data governance principles.
Experience implementing or supporting cloud-based analytical solutions.
Familiarity with Python for data analysis, processing, and transformation.
Benefits:
Remote work: The position is advertised as remote.
Professional development: The role offers the opportunity to work with modern data technologies and contribute to analytical solutions in a technology-focused environment.
Salary and additional benefits: No salary range, healthcare coverage, allowances, or other specific benefits were disclosed in the provided job description.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1