Tecla T

Mid-level Data Analyst

Tecla T

full-time

Posted on:

Location Type: Hybrid

Location: Nova Russas • Brazil

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

ApacheHadoopJavaMongoDBMySQLPandasPythonSparkSQLTableau

About the role

  • Collect and integrate data from multiple sources, including databases, CSV files, APIs, etc.
  • Clean and preprocess data to ensure its 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, informative data visualizations using Looker Studio.
  • Interpret analytical results and communicate insights effectively to technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to identify optimization and improvement opportunities based on data.
  • Stay up to date with trends and emerging technologies in data analysis and data science.

Requirements

  • Proficiency in SQL to extract, manipulate, and analyze data from relational databases.
  • Skills in programming languages such as Python, R, or Java for data analysis, large-scale data manipulation, and process automation.
  • Experience with data visualization tools such as Looker Studio, Pentaho, Tableau, Power BI, Matplotlib, Seaborn, etc., to create clear and informative visualizations.
  • Ability to perform exploratory data analysis (EDA) using statistical and visualization techniques to understand the structure, patterns, and relationships in the data.
  • Proficiency with data manipulation libraries and tools such as pandas (Python) or dplyr (R).
  • Knowledge of data modeling to design efficient database schemas and develop predictive models.
  • Understanding of machine learning and artificial intelligence concepts and techniques to build predictive and analytical models.
  • Familiarity with technologies such as Hadoop, Spark, or cloud computing tools to handle large volumes of data.
  • Experience with MySQL/SQL Server and MongoDB; building ETLs and datalakes; data manipulation; proficiency with data architecture/middleware tools such as Pentaho and Apache Hop; experience building dashboards in Looker Studio (Data Vys); and managing requests/demands via ClickUp.
Benefits
  • R$ 500.00/month ECXPAY card;
  • Access to Wellhub;
  • Zenklub plan — psychologist / nutritionist / coaching / therapy;
  • Partnership with Mediquo — telemedicine platform;
  • 22 days of paid leave after 12 months;
  • Partnership with Time Load language course;
  • Partnership with Bridges Clinic.
Applicant Tracking System Keywords

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

Hard Skills & Tools
SQLPythonRJavadata visualizationexploratory data analysisdata manipulationdata modelingmachine learningartificial intelligence
Soft Skills
communicationcollaborationproblem-solvinganalytical thinking