Sensedia

Data Analyst

Sensedia

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇧🇷 Brazil

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Job Level

Mid-LevelSenior

Tech Stack

ETLPySparkPythonScalaSQL

About the role

  • Ingest, transform, and make data available within a Big Data ecosystem
  • Perform data cleansing and preprocessing, analyze and evaluate data quality, and identify opportunities to optimize processes
  • Provide data that generates value for business areas
  • Act to identify ways to improve the reliability, efficiency, and quality of data
  • Share analytical knowledge across the team and throughout the organization

Requirements

  • Build dashboards to support business decision-making
  • Create ETL processes using languages such as Python, PySpark, and Scala
  • Support identification of behavioral patterns to address business needs and generate value
  • Produce indicators, metrics, and KPIs
  • Experience with relational databases
  • Use SQL and queries for data manipulation
  • Experience with data visualization tools
  • Conduct descriptive analyses to summarize information and identify trends
  • Knowledge of non-relational (NoSQL) databases
  • Experience with ETL/ELT processes
  • Contribute to the dissemination of a data-driven culture
Benefits
  • Meal/Food allowance (Flash benefits card)
  • Health insurance
  • Dental plan
  • Life insurance
  • Profit-sharing (PPR)
  • TotalPass
  • Childcare assistance
  • Well-Being program (for physical and mental health)
  • Corporate University (our #SensediaAcademy), with multiple development tracks
  • Cultural and educational partners with special discounts
  • Extended maternity and paternity leave
  • Flexible work arrangements

Applicant Tracking System Keywords

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

Hard skills
PythonPySparkScalaSQLETLELTdata cleansingdata preprocessingdata visualizationdata analysis
Soft skills
analytical knowledge sharingprocess optimizationbusiness decision-making supporttrend identificationdata-driven culture contribution