Data Intelligence Analyst, Mid Level

Inmetrics

Data Analyst at Inmetrics focusing on developing and implementing data analyses and models. Collaborating on analytics projects and optimizing data pipelines for business insights.

Posted 7/3/2026full-timeSão Paulo • 🇧🇷 BrazilJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, including proficiency in Python, R, and SQL, along with experience in data visualization tools like Power BI and Tableau. Capable of building and optimizing data pipelines, implementing ETL processes, and collaborating effectively with business teams to deliver actionable insights.

Highest-signal resume keywords

Data AnalysisPython ProgrammingSQL ProficiencyData VisualizationETL Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPythonRSQLData VisualizationETL ProcessesStatisticsData ModelingMachine LearningPredictive Models

Soft Skills

Communication Skills

Tools & Technologies

Power BITableauLookerMicrosoft FabricSparkHadoopAzureAWSGCPMongoDB

Certifications & Qualifications

Relevant Certifications in Data and Analytics

Industry Keywords

Financial SectorFintechData GovernanceData Quality

Tech Stack

Tools & technologies

AWSAzureCassandraCloudETLGoogle Cloud PlatformHadoopMongoDBNoSQLPythonScalaSparkSQLTableau

About the role

Key responsibilities & impact

Develop and implement analyses and analytical models;
Build and optimize data pipelines for efficient processing;
Create visualizations and dashboards that communicate insights clearly;
Perform exploratory data analysis to identify patterns and trends;
Collaborate with business teams to understand needs and requirements;
Participate in analytics projects end-to-end, from planning to implementation;
Document data analysis processes and methodologies.

Requirements

What you’ll need

Minimum of 2 years of experience in Data and Analytics-related roles;
Bachelor’s degree in Statistics, Computer Science, Mathematics, Engineering, or related fields;
Hands-on experience with data analysis languages (Python, R, or Scala);
Proficiency in SQL and experience with relational databases;
Experience with visualization tools (Power BI, Tableau, Looker);
Knowledge of statistics and data modeling techniques;
Experience implementing ETL processes;
Good communication skills to translate technical concepts for non-technical audiences.
Desired:
Knowledge of machine learning and implementation of predictive models;
Experience in the financial sector or fintechs;
Knowledge of Microsoft Fabric;
Familiarity with big data tools (Spark, Hadoop);
Experience with cloud platforms (Azure, AWS, GCP) and their data services;
Experience with NoSQL databases (MongoDB, Cassandra);
Relevant certifications in Data and Analytics;
Knowledge of data governance and data quality.

Benefits

Comp & perks

Bradesco Health Plan (30% copayment);
Bradesco Dental (No employee contribution);
Life Insurance;
Wellhub (Gympass);
Childcare allowance;
Allowance for children with special needs;
Payroll-deductible loan;
Private pension;
Pet care plan;
SESC benefits/access;
Conexa Telemedicine.
Financial assistance;
Meal/Food allowance (Vale Alimentação / Refeição);
Multi-benefit card;
Health plan upgrade.
We are a "Citizen Company": extended maternity and paternity leave;
INMaterna Program: support program for pregnant employees;
Birth kit and the book "Acontecia quando eu nascia";
Professional Development: courses available through our internal university;
100% remote or hybrid, depending on project applicability.