Job Summary: We are seeking a strategic Senior Data Analytics Analyst to work with data in data center operations, billing, and performance, mentoring junior analysts. Key Highlights: 1. Strategic data operations with a focus on data center operations 2. Development and maintenance of data pipelines (billing, capacity, SLA) 3. Mentoring and development of junior analysts **Job Description** We are looking for a Senior Data Analytics Analyst to work strategically within the data team, focusing on data center operations, billing, capacity, and service performance. In addition to individual technical delivery, the professional will serve as a reference for junior analysts — guiding best practices, reviewing deliverables, and contributing to team development. **Responsibilities**: * + Develop and maintain data pipelines for billing, capacity, SLA, and operations + Model and optimize databases for contracts, services, and infrastructure assets + Create and maintain executive and operational dashboards in Power BI, emphasizing visual clarity and user experience + Analyze churn, contraction, and expansion trends of services to support commercial decisions + Ensure data quality, performance, and governance + Gather requirements from business, commercial, and operations teams + Work in agile cycles, participating in ceremonies and delivering value iteratively + Mentor junior analysts daily — code reviews, best practices, and technical development leadership + Serve as a technical reference for questions, architectural decisions, and team standards leadership + Document solutions, data models, and analytical processes + Propose automations and continuous improvements to data workflows **Mandatory Requirements** * + Experience in Data Analytics / Business Intelligence + Prior experience mentoring or guiding junior analysts leadership + Ability to review deliverables and provide constructive technical feedback leadership + Clear communication with both technical and non-technical stakeholders + Dev/analytical profile — scripting, automation, and data integration + Familiarity with ITIL — incident management, SLA, and change management + Experience with agile methodologies — Scrum or Kanban + SQL Server (preferred) or Oracle, PostgreSQL + Advanced SQL: views, procedures, CTEs, query optimization + Dimensional modeling (star/snowflake schema) + Python for analysis, data processing, and automation + ETL pipeline development and data loading routines + Data Warehouse concepts and data integration + Git / version control + Power BI: data modeling and intermediate/advanced DAX + High-performance operational and executive dashboards + Reports focused on SLA, billing, and DC capacity + SSAS / OLAP cubes and MDX queries + Orchestration: Azure Data Factory, Airflow, Prefect, or similar tools + LGPD: Ability to identify and classify personal and sensitive data in pipelines and data models + Application of privacy-by-design best practices in building analytical solutions + Knowledge of legal bases for data processing and principles of purpose limitation and data minimization **Nice-to-Have Qualifications**: * + ITIL Foundation certification + Billing and invoicing for IT or Telecom/DC services + Data center metrics: Uptime, availability, rack capacity, PUE DC + B2B DC service churn and contraction analysis + Cloud platforms: Azure, AWS, or GCP + Data governance and information security + English and Spanish
María García
Indeed · HR
María García
Indeed · HR
