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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We are industry veterans and data-scientists using innovative technology to fearlessly reinvent the future of freight. As the ‘nerds of logistics’, we seek intelligence in data to solve deep-rooted inefficiencies in the industry. We give shippers, brokers and carriers access to our data connections (linking supply and demand) and suite of award-winning solutions to strike the perfect balance of cost and service. We’re creating a more efficient and environmentally responsible way to move more with less. For more information, please visit: https://loadsmart.com
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.