BI Analyst / Data Analyst

Worldwide | Sept. 1, 2026

Report as Closed

Company: BC Tecnología

Country: Worldwide

Type: Remote

Employment: Full-time

Description: We are an IT consulting firm with experts in various areas of technology.

At BC Tecnología, we manage portfolios, develop projects, and offer outsourcing and recruitment services for clients in sectors such as financial services, insurance, retail, and government. You will participate in strategic digital transformation initiatives for LATAM Airlines, a leading organization in the aviation industry, in an environment that combines remote work with occasional in-office presence. You will be part of the Architecture Management team, collaborating on defining the enterprise architecture and its evolution in response to technological and business changes, ensuring alignment with corporate strategy and governance standards.
  • At least 3 years of experience in BI, Data Analytics, Data Analyst, or similar roles.
  • Advanced SQL, including query creation, data transformation, optimization, and modeling.
  • Experience with Python, ideally using PySpark for data processing and transformation.
  • Mid-to-high-level experience with Power BI, developing reports, dashboards, and data models.
  • Experience with ETL processes and data integration from various sources.
  • Ability to work with business teams and understand analytical requirements.
At BC Tecnología, we are an IT consulting firm that designs and implements solutions using agile methodologies. We build teams for the areas of Technology Infrastructure, Software Development, and Business Units, working alongside our clients on challenging, high-impact projects.
We are currently seeking a Semi-Senior BI Analyst / Data Analyst to join a project for a major company, working in a dynamic and collaborative environment.
Job Objective
You will be responsible for extracting, transforming, and analyzing data to develop strategic reports and dashboards in Power BI, optimizing processes using SQL and Python (PySpark). You will work closely with business teams to deliver relevant insights and support data-driven decision-making.
Key Responsibilities
  • Extract, transform, and process data from various sources using SQL and Python (PySpark).
  • Design, develop, and optimize data models in Power BI.
  • Create and maintain interactive reports and dashboards to support decision-making.
  • Implement and optimize ETL processes and flows for data integration.
  • Analyze business unit requirements and translate them into Business Intelligence solutions.
  • Generate analyses and insights that improve decision-making.
  • Ensure the quality, consistency, and availability of the information used in reports.
  • Collaborate with technical and business teams to define and improve analytical solutions.
Preferred
  • Experience working with Databricks.
  • Knowledge of Big Data environments and cloud-based data platforms.
  • Experience in data modeling and optimizing data processing workflows.

Apply here:

Web: Apply here

Emails:



Similar Python Jobs

Found 6 similar Remote jobs

Improving
AI Engineer

Improving

Remote Full-time

Worldwide

View Job →
Niuro
Technical Lead / Head of Technology

Niuro

Remote Full-time

Worldwide

$36,000 - $42,000

View Job →
Niuro
Lead Data Engineer

Niuro

Remote Full-time

Worldwide

$48,000 - $60,000

View Job →
Improving
IA Engineer RAG & Generative AI

Improving

Remote Full-time

Worldwide

View Job →
BNP Paribas Cardif
Actuarial Research Engineer

BNP Paribas Cardif

Remote Full-time

Worldwide

View Job →
PaperStreet Web Design
Applied AI Developer, APIs and Business Intelligence

PaperStreet Web Design

Remote Full-time

Worldwide

View Job →

Find High-Paying Python Developer Jobs ($80K-$200K+)

Django, Flask, FastAPI, Tornado & More | Remote & Onsite | Updated Daily | No Recruiter Spam

Join our community of over 1,000 Python developers and get instant access to the highest-paying Python jobs worldwide - from Django, Flask and FastAPI to AI and data roles. Save time with our curated job listings featuring transparent salary ranges.