Business Intelligence Specialist

Job not on LinkedIn

🕒 March 18

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📚 Business Intelligence Analyst

👻 Ghost score 44%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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IPV7

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🔒 Cybersecurity

💼 Consulting

Cybersecurity • Cloud Computing • Consulting

IPV7 is a business solution partner that specializes in engineering services, consulting, cyber security, network management, and cloud computing. The company provides tailored solutions for Internet Service Providers (ISPs), telecommunication companies, government, and enterprise sectors across Latin America. Its focus areas include technical and operational auditing, risk assessment, and strategic consultancy to facilitate robust network systems and software solutions.

📋 Description

• Develop, structure, and maintain data lakes and data pipelines. • Design and implement dashboards and interactive visualizations using Power BI, Python (Dash, Plotly, Streamlit), or other BI tools. • Conduct data analyses to identify opportunities for optimization and continuous improvement. • Automate processes and routines related to Business Intelligence. • Integrate and consolidate data from multiple sources, including internal systems, APIs, and databases. • Ensure the quality, governance, and security of processed data. • Support internal teams with strategic insights and reports to inform decision-making.

🎯 Requirements

• Bachelor’s degree in Computer Engineering, Data Science, Statistics, Information Systems, or a related field. • Proven experience developing data lakes, as well as modeling and manipulating data. • Proficiency in Power BI, Python (pandas, NumPy, matplotlib, seaborn, etc.), and SQL. • Knowledge of ETL/ELT, process automation, and data integration. • Analytical mindset, results-oriented approach, and ability to work independently and collaboratively. • Preferred qualifications: experience with cloud platforms (Azure, AWS, GCP), knowledge of CI/CD and DataOps practices, and familiarity with Agile methodologies (Scrum, Kanban).