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Analytics Engineer (Remote - Brazil)

Loadsmart

United States

Remote

USD 80,000 - 120,000

Full time

3 days ago
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Job summary

Join a hyper-growth logistics tech company, where you'll be instrumental in developing analytics and business intelligence solutions. As an Analytics Engineer, you'll collaborate with various teams to build data warehousing systems and translate business needs into actionable insights. With a competitive salary and equity package, this role offers the chance to be part of a dynamic and innovative environment. If you have a passion for data and a growth mindset, this is the perfect opportunity to advance your career in a collaborative culture that values diversity and innovation.

Benefits

Competitive Base Salary
Equity Package
Flexible PTO

Qualifications

  • Fluent in English, with experience in SQL and Python for data manipulation.
  • Proven experience with data warehouses and OLAP systems.

Responsibilities

  • Build data warehousing systems and analytics solutions.
  • Translate business needs into technical requirements.

Skills

SQL
Python
Data Warehousing
Data Modeling
ETL Tools
Dimensional Modeling
Data Privacy and Governance
Advanced SQL Queries
Problem-solving Skills

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.

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