Data Analyst Specialist

ScotiaTech; Colombia; Presencial; COP 60.000.000 - 100.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Multicultural environment

Well-being benefits

Competitive wages

Descripción de la vacante

ScotiaTech is seeking a Data Analyst Specialist to join a team focused on client relationships and scalable data solutions. The role covers data integration, analytics, and collaboration across international teams to deliver robust data assets for banking operations.

You will work in an agile environment, using SQL, Python tools, and cloud technologies to support on-prem and cloud deployments, with an emphasis on data quality and governance, and PowerBI reporting.

Formación

• 2 years of experience as data analyst / technical business analyst.
• Excellent customer service, empathy and communications skills.
• Cloud computing knowledge, Data Quality and Governance is a plus.
• Knowledge with SQL, Git, Docker, Airflow, infrastructure-as-code, Spark (nice to have).
• Experience with Big Data and Cloud Technologies.
• Experience with GitHub, JIRA, Confluence.
• Experience in Retail/Risk Banking domain is an asset.
• Experience working in an Agile team environment.
• Knowledge of MS Power BI (Data consumption).
• Proficiency with BigQuery.
• Have a B2 level of English.

Responsabilidades

• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Participate in data engineering and transformation design to ensure highly scalable, extensible, and performant solutions.
• Collaborates in the coordination of the International Banking data engineering community; supporting training and onboarding of new users, and support the implementation of data assets across international teams.
• Hands on development supporting Data integration, Analytics and for On-prem and later Cloud environments, to generate scalable data assets across Scotiabank international markets.
• Functions as a member of an agile team and helps drive consistent development practices, tools usage, common components, and patterns.
• Collaborates and supports analytic teams to proactively build and improve existing operating models, increasing reliability and stability of data platforms for end users in accordance with established engineering practices and automation.
• Contribute to data delivery for some of highly visible and critical projects across bank.
• Knowledge with GCP, SQL, docker, airflow, git, Kubernetes , infrastructure-as-code
• Works in collaboration with BI teams, with proficiency in PowerBI and in setting up data pipelines to PowerBI.
• Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
• Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
• Champions a high-performance environment and contributes to an inclusive work environment

Conocimientos

SQL

Docker

Airflow

Git

Kubernetes

Infrastructure as code

Spark

PowerBI

BigQuery

Cloud technologies

Data governance

Data quality

Agile

Big data

Herramientas

GitHub

JIRA

Confluence

Descripción del empleo

At ScotiaTech we want you to be part of a team that is always in personal and professional growth, for this reason we are looking for our new Data Analyst Specialist

What will you do?

• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Participate in data engineering and transformation design to ensure highly scalable, extensible, and performant solutions.
• Collaborates in the coordination of the International Banking data engineering community; supporting training and onboarding of new users, and support the implementation of data assets across international teams .
• Hands on development supporting Data integration, Analytics and for On-prem and later Cloud environments, to generate scalable data assets across Scotiabank international markets
• Functions as a member of an agile team and helps drive consistent development practices, tools usage, common components, and patterns.
• Collaborates and supports analytic teams to proactively build and improve existing operating models, increasing reliability and stability of data platforms for end users in accordance with stablished engineering practices and automation.
• Contribute to data delivery for some of highly visible and critical projects across bank
• Knowledge with GCP, SQL, docker, airflow, git, Kubernetes , infrastructure-as-code
• Works in collaboration with BI teams, with proficiency in PowerBI and in setting up data pipelines to PowerBI.
• Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
• Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

Champions a high-performance environment and contributes to an inclusive work environment

What do we offer you?

Growth opportunities

Diverse, dynamic, and multicultural environment

Benefits for your financial and emotional well-being

Competitive wages

What do you need?

2 years of experience as data analyst Technical Business Analyst.

Excellent customer service, empathy and communications skills.

Cloud computing knowledge, Data Quality and Governance is a plus.

Knowledge with SQL, git, docker, airflow, infrastructure-as-code, spark (nice to have).

Assets

Experience with Big Data and Cloud Technologies

Experience with GitHub, JIRA, Confluence

Experience working in Retail/Risk Banking Domain is an asset

Experience working in an Agile team environment

Knowledge of MS Power BI (Data consumption)

Proficiency with Big Query

Have a B2 level of English