Kenlo

Analyst

• Design, implement, and maintain relational and non-relational database environments in high-criticality scenarios.
• Ensure high availability, scalability, security, and operational efficiency of database environments.
• Perform administration, tuning, troubleshooting, and continuous optimization of databases.
• Analyze and optimize queries, indexes, execution plans, locks, deadlocks, and resource consumption.
• Implement monitoring, observability, and incident response strategies.
• Lead troubleshooting of critical incidents, conduct root cause analysis, and propose structural improvements.
• Automate operational and administrative routines using scripts and automation tools.
• Work with Infrastructure as Code practices for provisioning and managing environments.
• Define and promote best practices for governance, versioning, backup, disaster recovery, and data security.
• Collaborate with Engineering, Product, and Infrastructure teams to evolve solutions.

Data Performance and Reliability Analyst – DBA/DBRE

Data Scientist

• Lead and develop Analytics, Data Science, and Data Engineering teams, fostering technical growth and people development.
• Establish rituals, processes, and a culture of high performance, collaboration, and accountability.
• Serve as a reference for leadership and stakeholders, connecting business needs to the team's deliverables.
• Define and evolve Kenlo's data strategy, aligned with business objectives.
• Ensure data is used in a structured way to support strategic and operational decisions.
• Identify opportunities to use data to improve efficiency, generate revenue, and enhance customer experience.
• Lead the design and evolution of the data architecture, ensuring scalability, reliability, and performance.
• Define best practices for data engineering, governance, quality, and information security.
• Ensure efficient integration across the company's various data sources and systems.
• Structure and advance the Analytics function, promoting the generation of actionable insights.
• Drive Data Science and Artificial Intelligence initiatives applied to the business.
• Ensure that models, analyses, and metrics are connected to real business impact.
• Define and track success metrics for the data teams.
• Prioritize initiatives based on impact and feasibility.
• Ensure consistent, high-quality deliveries aligned with business needs.

Data Performance and Reliability Analyst – DBA/DBRE

Data Manager – Head of Data & AI