Mid Business Intelligence Specialist
Description
Overview:
Lean Tech is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting-edge developments in multiple industries.
Position Title: Mid Business Intelligence Specialist
Location: LATAM
What you will be doing:
We are seeking a highly motivated and execution-focused professional to join our
growing Data & Insights organization. Reporting directly to the Associate Director
of Data Insights, you will be instrumental in driving the rapid development and
scaling of business intelligence, reporting, and analytics solutions. This hands-on
role involves designing and building high-impact dashboards, reports, and
embedded analytics products for both internal teams and external clients. You will
work with sophisticated analytical data models within a cloud data warehouse
environment, applying best practices in data visualization, dashboard UX, and data
storytelling to deliver measurable value. The ideal candidate thrives in a fast-paced
environment, focused on building quickly, iterating often, and shipping immediately
useful, scalable, and reusable data experiences using modern BI platforms such as Bold BI and Reveal BI.
- Design, develop, and deploy high-quality business intelligence solutions,
including interactive dashboards, reports, and KPI scorecards, with a focus on
rapid delivery and immediate business value.
- Develop and maintain embedded analytics solutions within customer-facing
- applications, utilizing platforms such as Bold BI and Reveal BI to deliver
seamless data experiences.
- Collaborate with Product, Data Engineering, and Client Success teams to translate complex business requirements into tangible, production-ready analytics deliverables.
- Construct and implement reusable data models, standardized dashboard
templates, and reporting patterns within a cloud data environment to ensure scalability and accelerate future development cycles.
- Ensure the accuracy and integrity of all analytics products by performing
rigorous data validation, exploratory data analysis, and writing complex SQL queries to transform and verify datasets.
- Apply industry best practices in data visualization, dashboard UX, data storytelling, and performance optimization to create effective and user-friendly analytics tools.
- Proactively identify and resolve issues related to reporting, data visualization,
and data quality, proposing pragmatic solutions that balance immediate needs
with long-term scalability.
- Create and maintain comprehensive documentation for analytics assets and implementation patterns to support knowledge sharing, long-term maintainability, and user adoption.
Requirements & Qualifications
To excel in this role, you should possess:
- 3+ years of professional experience in business intelligence, data analytics, or a related consulting role.
- Proven hands-on experience developing dashboards and reports with modern BI platforms (e.g., Tableau, Power BI, Looker); experience with embedded analytics tools like Bold BI or Reveal BI is a strong plus.
- Strong proficiency in SQL with the ability to write complex queries to transform
- and validate data.
- Experience working with analytical data models (e.g., star schemas) in a cloud data warehouse environment (e.g., Snowflake, BigQuery, Redshift).
- Solid understanding of data visualization best practices, dashboard UX, and the principles of effective data storytelling.
- Experience performing exploratory data analysis and rigorous validation to ensure data accuracy and consistency.
Nice to have:
- Familiarity with ERP systems, including experience interpreting reports and resolving systemic data errors.
- Previous experience working directly with senior data leadership on client-facing initiatives.
- Experience decreasing time-to-delivery through the implementation of standardized, template-driven builds.
- Proficiency in a programming language used for data analysis, such as Python (with Pandas) or R.
- Knowledge of Agile project management methodologies (e.g., Scrum, Kanban).
- Experience with data transformation tools (e.g., dbt) or other ETL/ELT platforms.
- Professional certifications in relevant BI platforms or cloud data warehouses.
Soft Skill:
- Exceptional Communication: Articulate complex analytical insights and data- driven narratives effectively to both technical and non-technical stakeholders, including the creation of clear Standard Operating Procedures (SOPs).
- Proactive Ownership: Demonstrate initiative by leading the adoption of new processes and independently managing small-scale system enhancement projects from conception to completion.
- Analytical Problem-Solving: Employ a systematic approach to interpret data trends, troubleshoot reporting and visualization issues, and recommend pragmatic, effective process improvements.
- Meticulous Attention to Detail: Uphold the highest standards of data quality and report accuracy through rigorous validation and a detail-oriented approach to all deliverables.
- Stakeholder Engagement: Collaborate effectively with cross-functional teams, including Product and Data Engineering, to understand user pain points and translate business requirements into technical solutions.
- Facilitation and Mentorship: Confidently facilitate virtual training sessions and host technical office hours to support user adoption and enhance data literacy across the organization.
Why you will love Lean Tech:
- 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.