Start Date
Immediate
Expiry Date
29 Jan, 25
Salary
0.0
Posted On
30 Oct, 24
Experience
2 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Qlik, Power Bi, Excel, Data Visualization, Design, Microsoft Excel, Communication Skills, Problem Analysis, Collaboration, Reporting, Data Processing, Soft Skills, Tableau
Industry
Information Technology/IT
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 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.
Currently, we are seeking a Data Automation Analyst (Excel & Power BI) with a strong English level to join our team. Here are the challenges that our next warrior will face and the requirements we look for:
REQUIREMENTS & QUALIFICATIONS
To excel in this role, you should possess:
These are the must-haves that are essential for this position.
These are additional skills that will help you succeed in this role.
Soft Skills
Meet regularly with users to gather and prioritize requirements for data analytics solutions.
WHAT YOU WILL BE DOING:
We are seeking a highly motivated Data Automation Analyst to join our dynamic team in Medellín, Colombia. The ideal candidate will be responsible for accurate data collection, processing, modeling, and analysis using advanced data analytics techniques and tools within Microsoft Excel. This role focuses on discovering insights from large datasets and converting these insights into strategic opportunities, thereby driving data-driven decisions and business outcomes across various departments including sales, marketing, customer service, operations, and finance.
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Meet regularly with users to gather and prioritize requirements for data analytics solutions.
These are additional skills that will help you succeed in this role.