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Tech Stack
Tools & technologiesApacheHadoopJavaPythonScalaSparkSQLTableau
About the role
Key responsibilities & impact- Collect data from multiple sources, whether from databases or via data collection tools;
- Data cleaning and preparation: process raw data to ensure it is clean, consistent, and ready for analysis. At this stage, remove any duplicate, corrupted, or blank records that could distort analysis;
- Exploratory Data Analysis (EDA): perform exploratory analyses to understand data distributions and identify patterns and/or outliers that may indicate initial trends;
- Report and dashboard development: create visual reports and dashboards using Certsys tools and/or client-provided tools that highlight key insights identified during collection, cleaning, and EDA;
- Data modeling: actively participate in designing data models and database structures that support the organization’s analytical needs;
- Statistical analysis: apply basic statistical techniques to understand relationships between variables, perform hypothesis testing, and conduct comparative analyses based on business rules;
- Team collaboration: work with business teams, data scientists, and other professionals to gather analytical requirements and translate them into solutions;
- Understanding business objectives: maintain a solid understanding of the organization’s business goals to ensure data analysis is aligned with company objectives;
- Technical skill development: continuously improve technical skills, including programming languages such as SQL, Python, or R, and the latest data analysis tools;
- Communication of results: effectively communicate data analysis results to technical and non-technical stakeholders, ensuring insights are actionable and can influence business decisions;
- Identify opportunities to improve business processes based on data analysis findings.
Requirements
What you’ll need- Bachelor’s degree in an IT-related field (preferred);
- Intermediate knowledge of Databases and Data Structures (preferred);
- Basic knowledge of Programming Languages (e.g., Python, R, SQL, Java, Scala) (preferred);
- Basic knowledge of Business Process Automation (preferred);
- Basic knowledge of Machine Learning (e.g., regression, decision trees, neural networks, natural language processing - NLP, clustering) (preferred);
- Intermediate knowledge of Data Analysis (e.g., descriptive statistics, data visualization, exploratory data analysis, predictive modeling, data mining) (preferred);
- Basic knowledge of Big Data (e.g., Apache Hadoop, Spark, Hive, Pig) (preferred);
- Knowledge of relational and non-relational databases (preferred);
- Knowledge of programming languages (e.g., Scala, C++) (preferred);
- Knowledge of Data Visualization techniques and tools (e.g., Tableau, Power BI) (preferred);
- Knowledge of Advanced Statistics (e.g., time series models, survival analysis) (preferred);
- Experience with Agile methodologies and software development practices (preferred).
Benefits
Comp & perks- Quality healthcare: National Bradesco Saúde plan with medical and dental coverage.
- Meal coverage: Swile card for your meals.
- Mobility: Transportation voucher for commuting.
- Financial support: exclusive bank credit package.
- Life insurance: 100% coverage at no additional cost.
- Investment in education: exclusive discounts on courses and educational institutions.
- Physical health: access to gyms via Wellhub (Gympass).
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonRJavaScalaData AnalysisStatistical AnalysisData ModelingMachine LearningBig Data
Soft Skills
Team collaborationCommunicationUnderstanding business objectivesTechnical skill development
Certifications
Bachelor’s degree in IT-related field