Tecla T

Mid-level Data Analyst

Tecla T

full-time

Posted on:

Location Type: Hybrid

Location: Fortaleza • Brazil

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Tech Stack

ApacheHadoopJavaMongoDBMySQLPandasPythonSparkSQLTableau

About the role

  • Collect and integrate data from various sources, including databases, CSV files, APIs, etc.
  • Clean and preprocess data to ensure quality, consistency and integrity.
  • Perform exploratory data analysis to identify patterns, trends and relevant correlations.
  • Develop analytical models and algorithms for forecasting, customer segmentation, churn analysis, and other use cases.
  • Create clear and informative data visualizations using tools such as Looker Studio.
  • Interpret analytical results and effectively communicate insights to both technical and non-technical stakeholders.
  • Collaborate with other functional teams to identify opportunities for optimization and improvements based on data.
  • Stay up to date with emerging trends and technologies in data analysis and data science.

Requirements

  • Database query languages: Proficiency in SQL to extract, manipulate and analyze data from relational databases.
  • Programming: Skills in languages such as Python, R or Java for data analysis, large-scale data manipulation and process automation.
  • Data visualization tools: Experience with visualization tools such as Looker Studio, Pentaho, Tableau, Power BI, Matplotlib, Seaborn, etc., to create clear and informative visuals.
  • Exploratory Data Analysis (EDA): Ability to perform EDA using statistical and visualization techniques to understand data structure, patterns and relationships.
  • Data manipulation: Proficiency with libraries and tools for data manipulation, such as pandas in Python or dplyr in R.
  • Data modeling: Knowledge of data modeling to design efficient database schemas and develop predictive models.
  • Machine learning and AI: Understanding of machine learning and artificial intelligence concepts and techniques to build predictive and analytical models.
  • Big Data and large-scale processing tools: Familiarity with technologies such as Hadoop, Spark, or cloud computing tools to handle large data volumes.
  • Knowledge of MySQL/SQL Server and MongoDB databases, ETL creation, data lakes, data manipulation; proficiency with data architecture/middleware tools such as Pentaho and Apache Hop; experience building dashboards in Looker Studio (Data Vys) and managing tasks via ClickUp.
Benefits
  • Health and dental plan (upon enrollment)
  • Life insurance
  • Psychological support (employee counseling)
  • Birthday day off
  • O Povo+ subscription club
  • School allowance for up to 3 children (available after 6 months of employment)
  • Discount on materials published by the company.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonRJavadata visualizationExploratory Data Analysis (EDA)data manipulationdata modelingmachine learningartificial intelligence
Soft Skills
communicationcollaborationanalytical thinking