Analytics Engineer (Remote - Brazil)

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Fluent in written and spoken English., Experience in building OLAP systems and maintaining dimensional models., Proficient in SQL and Python for data manipulation and backend solutions., Strong understanding of data modeling, ETL tools, and data privacy..

Key responsibilities:

  • Build and maintain data warehousing systems and analytics solutions.
  • Translate business needs into technical requirements for data engineering.
  • Develop and maintain data models and integrations for customers.
  • Collaborate with various teams to enhance the data platform and products.

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Loadsmart SME https://loadsmart.com/
501 - 1000 Employees
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Job description

ARE YOU INTERESTED IN JOINING A HYPER-GROWTH LOGISTICS TECH COMPANY?
Loadsmart is a growth-stage start-up technology company valued at over $1 billion (a true Tech Unicorn)!

The Analytics Engineer will play a key role in partnering with different Data teams and Data Engineering to conceptualize, design/model and implement Analytics and Business Intelligence Solutions to our data/metrics platform. You will be the go-to person for any data development for internal analytics as also interfacing Product teams and Data Science teams to assist and advise them to build data products. 

DEPARTMENT: Engineering
LOCATION: Anywhere in Brazil - Remote

WHAT YOU GET TO DO:
  • Build Data Warehousing systems, reporting and analytics
  • Understand business needs that can be solved by using data
  • Translate business needs into technical requirements and specifications to support Data Engineering and Analytics Engineering development
  • Develop and maintain data models and data sets
  • Develop and maintain data integrations for customers.

  • REQUIRED QUALIFICATIONS:
  • You’re fluent in written and spoken English (please also submit your resume in English.)
  • Building OLAP systems and creating and maintaining dimensional models
  • Working with backend data engineering solutions using SQL and/or Python
  • Python for data manipulation (mostly Pandas)
  • Proven experience with data warehouses and associated tooling
  • Hands-on experience with relational databases and performing advanced SQL queries.
  • Experience working on data modeling and ETL tools
  • Ability to understand business needs and transform into technical requirements and specifications to support data engineering and analytics engineering development
  • Collaborating with analysts, data scientists, engineers, product managers, and stakeholders to evolve our data platform and products
  • Having a deep understanding of dimensional modeling, data management, data privacy and governance
  • A self-starter, innovative, result-focused and team-oriented
  • Possessing a growth mindset, sense of curiosity and strong problem-solving skills; you are constantly learning about emerging market trends to identify potential opportunities and gaps.
  • WORKING AT LOADSMART:

    • Competitive base salaries - we believe in rewarding top talent 
    • Extremely competitive Equity package - become a shareholder in our company!
    • Loadie Time Off - flexible PTO

    Apply today!

    At Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.

    It is the policy of Loadsmart that all offers of employment made shall be contingent upon successful completion of electronic background check(s). These checks will be job-related, consistent with business necessity and conducted by our vendor, pursuant to all applicable laws, rules, policies and procedures of our candidates' specific locale. 

    Required profile

    Experience

    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Collaboration
    • Results Focused
    • Team Oriented
    • Curiosity
    • Growth Mindedness
    • Problem Solving
    • Innovation

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