Data Analyst Specialist

GSG-GESTIÓN DE SERVICIOS GLOBALES S.A.S

Bogotá ciudad

Presencial

COP 60.000.000 - 90.000.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

ScotiaGbs is seeking a DATA Analyst Specialist to join a diverse, growing team. You will identify and explore datasets, translate insights for engineers and stakeholders, and map data flows across systems including GCP and Databricks.

Responsibilities include evaluating data quality, supporting cleansing, and building Power BI/Tableau dashboards to communicate progress and readiness. A strong data background and collaborative SME engagement are essential.

Formación

  • Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • Master's degree is considered an asset.
  • 3-5 years of experience in data analysis, with focus on data discovery and stakeholder engagement.
  • Experience exploring data and working with business users or SMEs.
  • Experience with cloud-based data platforms (AWS, Azure, Google Cloud).

Responsabilidades

  • Identify, explore, and assess datasets to understand data, its location, usage, and potential issues.
  • Analyze and interpret data, translating technical information into clear business insights for engineers, SMEs, and stakeholders.
  • Map data flows across multiple systems, including legacy platforms, GCP, and Databricks.
  • Evaluate data quality by identifying missing values, duplicates, errors, and inconsistencies; support data cleansing activities.
  • Support data management within the Medallion Architecture by profiling Bronze data and improving Silver data.
  • Collaborate with SMEs to understand business requirements, data definitions, and business rules.
  • Create reports and dashboards (e.g., Power BI) to communicate insights, project progress, and data readiness.

Conocimientos

SQL
Python
Power BI
Tableau
Data warehousing
ETL processes
Cloud platforms

Educación

Bachelor's degree
Master's degree (asset)

Herramientas

Power BI
Tableau

Descripción del empleo

At ScotiaGbs, we want you to be part of a team that is constantly growing, learning, and evolving. We're looking for our next DATA Analyst Specialist, someone who is passionate about helping people and ready to build a meaningful career in a multicultural environment.

What will you do?

As a DATA Analyst Specialist, you will:

  • Identify, explore, and assess datasets to understand available data, its location, usage, and potential issues.
  • Analyze and interpret data, translating technical information into clear business insights for engineers, SMEs, and stakeholders.
  • Map data flows and relationships across multiple systems, including legacy platforms, GCP, and Databricks.
  • Evaluate data quality by identifying missing values, duplicates, errors, and inconsistencies, and support data cleansing activities.
  • Support data management within the Medallion Architecture by profiling Bronze data, improving data quality in Silver, and validating business-ready Gold data.
  • Collaborate with Subject Matter Experts (SMEs) to understand business requirements, data definitions, and business rules.
  • Create reports and dashboards (e.g., Power BI) to communicate insights, project progress, and data readiness.
What do we offer you?
  • Career growth opportunities within one of the top financial institutions.
  • A diverse, dynamic, and multicultural work environment.
  • Benefits that support your emotional and financial well-being.
  • A place where your talent, ideas, and voice truly matter.
What do you need?
  • Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • A Master's degree is considered an asset.
  • 3 -5 years of experience in data analysis, with a focus on data discovery and stakeholder engagement.
  • Experience exploring data and working with business users or SMEs
  • Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)
Technical Skills
  • Proficiency in SQL for querying and manipulating large datasets.
  • Some experience with Python (or a similar language) for basic data analysis is a plus.
  • Familiarity with BI tools (e.g., Tableau, Power BI) for reporting and dashboard creation.
  • Knowledge of data warehousing concepts and ETL processes
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