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Analytics Engineer

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Brazil, Anywhere

Offer summary

Qualifications:

Masterโ€™s degree in Data Science or related field, 2+ years of experience in Data Science or Analytics, Proficiency in SQL and database management systems, Experience with ETL tools and BI tools.

Key responsabilities:

  • Develop and maintain scalable data pipelines
  • Design, implement, and optimize data models

TRACTIAN ๐—•๐—ฅ logo
TRACTIAN ๐—•๐—ฅ Scaleup https://tractian.com/
51 - 200 Employees
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Job description

Analytics at TRACTIAN

The Analytics team is responsible for building and maintaining from the data pipelines until the dashboards that feed up our customers and internal data products with relevant and actionable information. This department ensures reliable, trustworthy and meaningful data, merging them from several sources and delivering them in the edge efficiently. The team's core objective is to build reliable and insightful data products from the raw consumption of the data from different sources until the dashboards delivery to the consumer.


What you'll do

As an Analytics Engineer, you will build data products by designing, building, and maintaining robust data pipelines and dashboards that empower business teams with actionable insights. You will work closely with data analysts, data scientists, and business stakeholders to ensure data quality, optimize data workflows, and enable self-service analytics, driving data-informed decision-making across the organization.

Responsibilities
  • Develop and maintain scalable data pipelines and ETL processes to transform raw data into usable formats.
  • Design, implement, and optimize data models to support reporting and analytical needs.
  • Collaborate with business stakeholders to understand business requirements and translate them into technical specifications.
  • Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques.
  • Work with cloud-based data warehouses and analytics platforms to manage and store large datasets.
  • Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data.
  • Document data processes, workflows, and best practices to enhance team knowledge and efficiency.
  • Create dashboards as data products as internal or external products

    • Requirements
  • Masterโ€™s degree in Data Science, Statistics, Computer Science, or a related field.
  • 2+ years of experience in Data Science or Analytics.
  • Proficiency in SQL and experience with database management systems such as PostgreSQL.
  • Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt).
  • Experience with BI tools (e.g., PowerBi, Looker, Tableau)
  • Experience with cloud-based data platforms like AWS Redshift.
  • Familiarity with programming languages such as Python.
  • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

    • Compensation
  • Competitive salary and stock options
  • Optional fully funded English / Spanish courses
  • 30 days of paid annual leave
  • Education and courses stipend
  • Earn a trip anywhere in the world every 4 years
  • Day off during the week of your birthday
  • Up to R$1.000/mo for meals and remote work allowance
  • Health plan with national coverage and without coparticipation
  • Dental Insurance: we help you with dental treatment for a better quality of life.
  • Gympass and Sports Incentive: R$300/mo extra if you practice activities
    •

    Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    ETL (Extract Transform Load)SQL (Programming Language)Amazon RedshiftPostgreSQLTableau (Business Intelligence Software)Power BIPython (Programming Language)Apache Airflow

    Other Skills

    • Communication
    Are you interested?

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