Data Analyst, Mid-Level

Job not on LinkedIn

🕒 September 3

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 16%

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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Minsait

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2016

💼 Consulting

🏥 Healthcare

🏨 Hospitality

Consulting • Healthcare • Hospitality

Minsait is a global leader in technology and consulting, offering a wide range of innovative solutions and services to enhance business operations and societal transformation. With a focus on human-centered technology, Minsait provides services such as AI, cybersecurity, intelligent workspace design, and cloud platform management. The company partners with various industries including public administration, healthcare, utilities, transportation, and hospitality, tailoring its solutions to meet sector-specific needs. Minsait is known for its impactful and pioneering approach, making technology more accessible and transformative.

📋 Description

• Collect, process, clean, transform, and organize data • Develop and maintain data pipelines • Ensure the quality, reliability, and availability of information • Build queries, reports, dashboards, and analyses to support business decisions • Work with large volumes of data using Big Data technologies • Develop ETL processes • Conduct exploratory and statistical analyses to identify trends, patterns, and opportunities • Support Data Science and Machine Learning initiatives • Contribute to the development and operationalization of analytical models • Ensure best practices in data governance, security, and quality • Work on a strategic project using agile methodologies in an innovative environment

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Statistics, Mathematics, or a related field • Experience in data analysis, processing, and manipulation • Advanced SQL knowledge • Experience with Databricks • Knowledge of Python for data analysis and processing • Experience with relational and non-relational databases, such as MySQL, PostgreSQL, and MongoDB • Experience with Apache Spark, Hadoop, and Hive • Knowledge of AWS, Azure, or GCP • Experience building and maintaining ETL/ELT processes • Knowledge of data modeling and architecture • Analytical skills and business acumen • Intermediate experience in data analysis, data engineering, or data science projects, working independently • Knowledge of Java and/or Scala (a plus) • Experience with statistical and predictive models (a plus) • Knowledge of time series and clustering (a plus) • Experience with Machine Learning, including regression, decision trees, clustering, and neural networks (a plus) • Knowledge of MLOps (a plus) • Experience with Power BI, Tableau, or similar tools (a plus) • Cloud and/or Databricks certifications (a plus)

🏖️ Benefits

• Employment under Brazil’s CLT labor regime • Company-subsidized health insurance for the employee • Option to add dependents to the health insurance plan, with payroll deduction • Dental insurance (optional) • Option to add dependents to the dental insurance plan, with payroll deduction • Meal voucher or food voucher • Transportation voucher (optional) • Impact & Care — Personal Guidance Program offering free emotional support and confidential counseling in psychological, legal, financial, social, and pet-related matters for employees and eligible dependents • Gympass — Wellhub, with access to more than 700 gyms in Brazil • Option to add up to three dependents to Gympass — Wellhub • Udemy access through the company intranet • Partnerships with leading consumer brands • SESC partnership for employees and dependents • Discounts with educational institutions, language schools, and certification providers • Group life insurance • Global projects • Collaborative environment • Agile methodologies • Development opportunities, continuous learning, and national and international mobility