Full Data Analyst

Role Summary

Transform the future with Minsait

At Minsait, we believe in technology as a force to transform realities and generate positive impact. We develop solutions that connect innovation, efficiency and progress in essential sectors such as public administration, telecommunications & media, energy & utilities, industry & consumption, health and finance.

Here, you will find an environment that values autonomy, collaboration and continuous growth, with challenging projects and real development opportunities.

• Our way of being
• We innovate with purpose
• We grow responsibly
• We value diversity and those who transform
• Values
• Innovation, connection, trust and anticipation of the future

If you are looking for meaningful challenges, Minsait is your place.

Experience with relational and non-relational databases, such as

• MySQL
• PostgreSQL
• MongoDB

Experience with Big Data tools and ecosystem

• Apache Spark
• Hadoop
• Hive

Knowledge of cloud computing solutions (AWS, Azure or GCP).

Experience in building and maintaining ETL/ELT processes.

Knowledge of data modeling and data architecture.

Analytical capacity and business vision to transform data into relevant information.

WORK AT MINSAIT

CLT contracting model.

Health Plan subsidized by the company for the holder.

Option to include dependents in the Health Plan with payroll deduction.

Dental Assistance (optional).

Option to include dependents in the Dental Assistance Plan with payroll deduction.

Meal Voucher or Food Voucher.

Transport voucher (optional).

Impact & Care - Personal Guidance Program that aims to offer emotional support and advice with confidential guidance in the psychological, legal, financial, social and pet areas at no cost to the owner and legal dependents.

Gympass - Wellhub (Access to more than 700 gyms throughout Brazil with plans starting at R$29.90 deducted from payroll).

Option to include dependents in Gympass - Wellhub (up to 3 dependents - paid via credit card).

Access Udemy via our intranet.

Partnerships with major consumer brands.

Agreement with SESC for holder and dependents.

Agreements for discounts with educational institutions (undergraduate and postgraduate) and language schools/Certifiers.

Group life insurance.

Our commitment to diversity is a key element of our culture: Equal opportunities, respect for people and non-discrimination are principles of action for all Minsait professionals. We integrated the Bloomberg Gender-Equality Index (GEI) 2021 in terms of diversity and gender equality.

All of our vacancies are also open to PWDs.

We are approximately 50k Minsaiters around the world, with around 7k in Brazil and we are present in the largest companies in all sectors. Our structure allows us to participate in global projects and provides a collaborative environment that certifies us in GreatPlacesToWork and differentiated plans for Young Professionals also recognized by Employers for Youth.

You will work on our team on a strategic project, using agile methodologies and in an innovation environment.

We are looking for professionals with a sense of ownership, committed to our client's success and the development of their career within Minsait

You will be a fundamental pillar in the best and biggest IT projects in Brazil and globally.

Come be a Minsaiter!

Responsibilities

• Work in the data analysis process, collecting, processing, cleaning, transforming and organizing information.
• Develop and maintain data pipelines, ensuring quality, reliability and availability of information.
• Build queries, reports, dashboards and analyzes that support business decision-making.
• Work with large volumes of data using Big Data technologies.
• Develop ETL (Extract, Transform and Load) processes.
• Perform exploratory and statistical analyzes to identify trends, patterns and opportunities.
• Support Data Science and Machine Learning initiatives, contributing to the development and operationalization of analytical models.
• Ensure good governance, security and data quality practices.
• Differences
• Knowledge of Java and/or Scala.
• Experience in developing statistical and predictive models.
• Knowledge of time series and clustering techniques.

Requirements

Experience in Machine Learning projects, including

• Regression
• Decision Trees
• Clustering
• Neural Networks
• Knowledge of MLOps practices for deploying, monitoring and maintaining models.
• Experience with data visualization tools (Power BI, Tableau or similar).
• Cloud certifications (AWS, Azure or GCP) and/or Databricks.
• Behavioral Skills
• Analytical and data-driven profile.
• Ability to solve complex problems.
• Good communication and ability to interact with business and technology areas.
• Organization and focus on quality of deliveries.
• Proactivity and sense of ownership.
• Ease of working in a team and in dynamic environments.

Experience Level

Intermediate experience in analysis, engineering or data science projects, acting autonomously in building solutions and generating insights based on data.

📚Mandatory requirements

• Completed Higher Education in Computer Science, Engineering, Information Systems, Statistics, Mathematics or related areas.
• Experience in analysis, processing and manipulation of data.
• Advanced knowledge in SQL.
• Experience with Databricks.
• Knowledge of Python for data analysis and processing.