Job description
Description
Yopeso has been developing a diverse range of software products, from large-scale applications to smaller solutions, for 20 years. With a growing team of over 250 employees across five locations, we are dedicated to fostering a culture of growth, transparency, and professionalism.
At Yopeso, we value authenticity, curiosity, and ambition. These values drive us to build strong connections within our community and with our partners, ensuring trust, integrity, and transparency in all our business practices. We strive to maintain the highest professional standards and continuously challenge ourselves to develop high-quality, high-performance, and secure software solutions.
Our approach is rooted in efficient collaboration among passionate professionals working in agile teams. Guided by curiosity and ambition, we strive to create products that are meaningful and impactful, while remaining true to our authentic selves.
What we offer:
Competitive remuneration
Remote work
28 calendar days of vacation
Requirements
We are seeking a skilled Data Analyst to join our team. The ideal candidate will possess strong expertise in SQL, a solid foundation in data analysis, and experience with at least one Business Intelligence (BI) tool.
Key Responsibilities
Collaborate with cross-functional teams to define metrics and ensure data quality and accuracy.
Analyze large datasets to identify trends, patterns, and actionable insights.
Write, optimize, and maintain complex SQL queries for data extraction, manipulation, and reporting.
Develop and maintain dashboards and visualizations using a AWS Quicksight or similar platforms
Generate regular and ad-hoc reports to support business decisions.
Identify process inefficiencies and recommend data-driven improvements.
Requirements
SQL Expertise: Minimum 3 years of hands-on experience with SQL, including query optimization and database management.
BI Tool Experience: At least 1 year of experience with any BI tool (e.g., Tableau, Power BI, Looker, or equivalent).
Strong analytical skills and a detail-oriented mindset.
Familiarity with data modeling, ETL processes, and database structures.
Ability to communicate findings effectively to technical and non-technical stakeholders.
Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
Preferred Qualifications
Experience with Python for data analysis.
Exposure to cloud-based data platforms, preferably AWS or GCP
