In this role, you will maintain and optimize data pipelines, conduct advanced analysis, and collaborate with the team to enhance user experience and gather valuable feedback.

This position is ideal for a data enthusiast who thrives in a dynamic environment and is passionate about transforming raw data into meaningful and impactful business insights.a

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

#LI-DNI

Responsibilities

Build and maintain efficient data pipelines to ensure data integrity and availability
Perform in-depth analysis to unearth trends and patterns that lead to actionable insights
Design and implement robust dashboards and visualization tools to enhance data accessibility
Collaborate with cross-functional teams to gather requirements and deliver analysis findings
Address complex data challenges and propose creative data solutions to meet business needs
Optimize existing ETL processes and contribute to the development of new ETL solutions
Refine and enrich data warehouse architecture to improve data storage and retrieval
Conduct regular feedback sessions to iterate on visualization UX/UI and improve user engagement
Maintain rigorous documentation for all data processes and analytic reports

Requirements

Proficiency in SQL for complex querying and data manipulation
Background in data visualization and effective dashboard creation
Experience optimizing ETL processes and applying business logic
Understanding of data warehousing principles, including database design and storage methods
Competency in working in a UNIX environment and familiarity with version control systems
Knowledge of statistical analysis techniques to derive insights from large datasets

Nice to have

Experience with machine learning algorithms and predictive modeling
Familiarity with big data technologies such as Hadoop or Spark

We offer

Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)
Medicina Prepaga (It covers the collaborator and direct family group)
Paternity Leave (Two additional days are added to what is established by law, total of 4 days)
Discounts card
English Training (English lessons, twice per week)
Training Program (Access to multiple customized training plans according to the needs of each role within the company)
Marriage bonus (The company doubles the allowance established by law that ANSES offers)
Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)
External Agreements and Discounts
Vacations: 14 calendar days a year