→ Are you an analytical person with a solid understanding of business and the impact that analysis plays in a company's growth?

→ Are you ready to work on the most updated data technologies?

→ Are you excited about joining a data-driven company and being an important part player of our data universe? 

We are Loadsmart and we have recently created a new Analytics Engineer. We are a growth-stage start-up technology company valued at over $1 billion (a tech unicorn), led by a leadership team of logistics veterans and experienced engineers, product leaders and data scientists continuing to disrupt this $800 billion industry. 

 

This critical position 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. 

LOCATION: This position can be remote anywhere in Latin America

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 & specifications to support Data Engineering and Analytics Engineering development.
• Develop and maintain data models and data sets.

You have experience:

• You’re fluent in both written and spoken English (please also submit your resume in English.).
• Building OLAP systems and creating and maintaining dimensional models.
• Collaborate with analysts, data scientists, engineers, product managers, and stakeholders to evolve our data platform and products
• Ability to understand business needs and transform into technical requirements & specifications to support data engineering and analytics engineering development.
• Proved 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.

Preferred but not required:

• Experience dealing with data privacy and security on analytics level
• Ability to understand backend data engineering solutions using SQL and/or Python.
• Python for data manipulation (mostly Pandas).
• Experience with orchestration and workflow tools

Your colleagues would describe you as:

• 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
• Someone who prioritizes effectively, while meeting deadlines in a fast-paced environment and possesses exceptional attention to detail 
• Able to interact with stakeholders from different business teams

• Competitive base salaries - we believe in rewarding top talent 

• Extremely competitive Equity package - our Series D valuation didn’t account for us almost tripling revenue this year so now is the time to get in!

• Signing bonus - because you will work remotely, you will use it as you like: to set up your home office, get a new laptop or buy that amazing coffee machine to make your days happier :)

• Unlimited time off

• Wellbeing initiatives

• Lots of engagement activities;

• An opportunity to work with a diverse, global community of 900+ Loadies united by our core value of Teamwork 

• Regular recognition, feedback, and transparency across all levels.

• Opportunities for you to join our community service initiatives.

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.