Company Overview
You will join a fast-growing data organization that values insights and solution-oriented problem-solving. We foster a collaborative, low-ego environment with high expectations for performance, process adherence, and attention to detail. Our team is composed of self-driven professionals who work effectively to deliver data products that drive decision-making.
Position title: Mid Business Intelligence BI Engineer
Position location: Remote - LATAM
Position Overview
This position offers an opportunity to join a fast-growing data organization within a global logistics provider, dedicated to delivering data products that drive internal decision-making. The role entails collaborating directly with internal stakeholders to construct robust data models, design precise metrics and KPIs, and develop impactful dashboards using Power BI. Leveraging a technical stack anchored in SQL, dbt, and Snowflake, the selected candidate will implement an engineering-driven approach to business intelligence, emphasizing automation, testing, version control, and performance optimization. Acting as an internal consultant, the
individuals will map real-world business processes to data systems, ensuring that information flows smoothly to support organizational goals. This mid-level role requires a self-driven professional who excels in a low-ego, collaborative team environment characterized by high expectations for performance and strict process adherence. The focus remains exclusively on internal analytics and stakeholder management, providing a vital foundation for the company's global operations.
Key Responsibilities
Construct and extend core data models using dbt and SQL within a Snowflake data warehouse to support business intelligence initiatives.
Design and develop robust Power BI dashboards and datasets, employing DAX for backend modeling to deliver insights to internal stakeholders.
Collaborate with internal business partners to map operational processes to data systems, defining effective KPIs and metrics that drive decision-making.
Apply an engineering-driven approach to analytics, utilizing git for version control, automating tests, and optimizing performance.
Execute complex SQL tasks, including advanced querying and data transformation logic, to validate data accuracy and support deep-dive investigations.
Act as an internal consultant to identify solution designs that improve business outcomes, focusing exclusively on internal client needs.
Maintain strict adherence to process standards and demonstrate high attention to detail while working autonomously in a collaborative, low-ego team Environment.
Required Skills & Experience
2+ years of professional experience using SQL, with strong proficiency in querying and data manipulation.
Solid data modeling fundamentals, with specific experience building and extending core data models in Snowflake.
Proficiency in using dbt for defining, testing, and documenting data transformations.
2+ years of experience utilizing Power BI for dashboard visualization and developing backend models using DAX.
Experience designing KPIs and metrics, with the ability to communicate the impact of metric selection to internal stakeholders.
Demonstrated application of an engineering-driven approach to analytics, including the use of version control (git), automation, and testing.
Experience designing user experiences and mapping real-world business processes to data systems.
Strong attention to detail with a commitment to process adherence and high performance standards.
Excellent collaboration and communication skills, specifically oriented towards managing internal stakeholders.
Self-driven mindset with a low-ego approach to teamwork and problem solving.
Nice to Have Skills
A highly quantitative academic or professional background.
Proficiency in Python or R for advanced data analysis and scripting.
Familiarity with Python-based orchestrators such as Prefect.
Exposure to CI/CD tools such as GitHub Actions and Azure DevOps.
Understanding of infrastructure configuration using Terraform.
Experience with cloud storage solutions like Azure Data Lake.
Soft Skills
Collaborative and low-ego demeanor, facilitating effective cooperation within the immediate team and across broader organizational units.
Meticulous attention to detail with a strong commitment to strict process adherence and high performance standards.
Self-driven initiative, demonstrating the ability to work autonomously on problem-solving and solution design using an engineering-driven approach.
Effective communication skills specifically oriented towards internal stakeholder management and the clear articulation of data metrics and impacts.
Solution-focused mindset that prioritizes the delivery of actionable insights and robust data products over basic reporting tasks.
Commitment to continuous learning and professional growth, utilizing allocated time to master new data skills and technologies.
Why You Will Love Working with Us
Join a powerful tech workforce and help us change the world through technology Professional development opportunities with international customers Collaborative work environment Career path and mentorship programs that will lead to new levels. Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive
environment for all employees.
