Mid Business Intelligence Analysts
Description
Company 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 many 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 Analysts
Location: Remote - LATAM
What you will be doing:
At Lean Solutions Group, we trust irrevocably and explicitly in data. As strong believers that we are surrounded by data that can turn numbers into insights, we thrive on letting the numbers speak for the organization. We are seeking a highly skilled business intelligence analyst to help us gather, organize, and use data to its full potential. By supplementing the organization with informed decision-making, the business intelligence analyst will leverage BI analytics tools to develop strategies aligned with the company’s vision. We are seeking a highly intuitive individual who can interpret data and make data-driven decisions. Being a detailed planner and a maestro at communication, the BI analyst will play a vital role in ensuring effective organizational success in the future.
- Dive into the current ways of business and provide insights to improve the same
- Increase the scale of operations by uncovering opportunities for growth using BI data analytics
- Use data mining and predictive analysis, among other BI and data analytics methods to improve the overall scale of the company
- Identify trends and patterns that will change the course of the business if implemented
- Devise data-gathering methods that make sense for the company
- Design and maintain complex data models (star schema), utilizing DAX to create calculated measures, columns, and tables for reporting.
- Build, maintain, and optimize interactive Power BI dashboards and reports, enhancing performance and user experience.
- Utilize Power Query and DAX to clean, shape, and transform raw data into a usable format.
- Gather, clean, and organize huge volumes of data from various sources
- Synthesize and simplify the data to make it meaningful and simple to understand for stakeholders who are not business intelligence professionals
- Find gaps in the operations of the business using data analytics and business intelligence tools
- Work alongside other departments to move towards realizing company goals
- Make reports to track the progress and measure the effectiveness of current strategies
Requirements & Qualifications
To excel in this role, you should possess:
- Bachelor’s degree in computer science, mathematics, statistics or a related field preferred
- 2+ years of prior experience in data analytics and business intelligence
- Knowledge of SQL and data mining methods
- Understanding of Python.
- Outstanding data-driven problem-solving and analytical skills
- Knowledge of various programming languages
- Prior experience working with large sets of data
- Experience working with documentation in a fast-paced environment
Soft Skills:
- Fully Bi-lingual English and Spanish
- Problem-solving approach with a focus on scalability and efficiency.
- Strong communication and collaboration skills in cross-functional teams
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 be vital to our continued success. Lean Tech is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.