Bilingual (English/Spanish) Data Analyst to support cloud data migration and transformation using SQL, Python, and cloud-based data platforms - 41653

S I Systems

Toronto

Hybrid

CAD 65,000 - 90,000

Full time

2 days ago
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Job summary

S I Systems in Toronto invites a data analyst to support cloud data migration and transformation using SQL, Python, R, and BI tools. The role focuses on data discovery, collaborating with SMEs, and translating technical findings into business recommendations.

The ideal candidate has 2-4 years of data analysis experience, proficiency in SQL, Python or R, and experience with cloud platforms (AWS/Azure/Google Cloud). Spanish language is mandatory.

Qualifications

  • 2-4 years of experience in data analysis, data mapping, and data modelling.
  • Proven track record of working with SMEs to deliver data-driven solutions.
  • Proficiency in SQL for querying and manipulating large datasets.
  • Experience with Python, R, or similar for data analysis and visualization.
  • Experience with cloud-based data platforms (AWS, Azure, Google Cloud).
  • Spanish-speaking candidates mandatory.

Responsibilities

  • Identify, collect, and assess datasets from internal and external sources.
  • Perform exploratory data analysis to uncover patterns, trends, and anomalies.
  • Validate data quality, integrity, and consistency through cleansing and preprocessing.
  • Partner with SMEs to gather business requirements and refine data solutions.
  • Develop dashboards, visualizations, and reports using BI tools.
  • Conduct statistical analysis and modeling to support strategic decisions.
  • Document data sources, methodologies, and findings for reproducibility and knowledge sharing.

Skills

SQL
Python
R

Education

Bachelor’s degree in Business Administration, Data Analytics, Computer Science, or related field
Master’s degree is asset

Tools

Tableau
Power BI
AWS
Azure
Google Cloud

Job description

Bilingual (English/Spanish) Data Analyst to support cloud data migration and transformation using SQL, Python, and cloud-based data platforms - 41653

Duration: Until Feb 2027 (possibility of extension)

Location: Hybrid - 44 King Street W 7th Floor, Toronto – as of now, the mandate is to come in 4x/week starting in September, this is subject to change for the team - want candidates in the GTA who are OK with this

Business group : Technology Program Management & Transformation – team that manages cloud data integration and governance for IB, providing efficient and standardized solutions that enable different business areas to access and use data securely and effectively.

Project : International Banking – Data Migration and Transformation to Cloud

Mission: To develop and maintain a cloud platform that integrates data from various sources, standardizes processes, and facilitates data publication for consumers and producers, ensuring quality, security, and accessibility.

Scope: The primary objective of this project is to design and implement a unified cloud data platform for IB across different countries.

Impact: Efficient ingestion of data from multiple on-premises sources to the cloud.

Data transformation and standardization into organized layers (landing and standardization zones).

Rapid data delivery for bank teams requiring reports, indicators, or advanced analysis.

Incorporation of reusable data products for transversal consumption across the organization.

The project prioritizes agility in delivery, enabling tactical solutions (quick, connected to local sources) when necessary, while promoting progressive advancement toward fully cloud-based strategic solutions.

Purpose:

We are seeking a skilled Data Analyst with a strong focus on data discovery and collaboration with Subject Matter Experts (SMEs) to join our dynamic team. The ideal candidate will excel at identifying, exploring, and analyzing complex datasets to uncover actionable insights while working closely with SMEs to ensure data solutions align with business needs. This role requires strong analytical skills, effective communication, and the ability to translate technical findings into business-relevant recommendations.

Must Haves

  • 2-4 (max) years of experience in data analysis, data mapping, and data modelling.
  • Proven track record of working with SMEs to deliver data-driven solutions.
  • Proficiency in SQL for querying and manipulating large datasets.
  • Experience with Python, R, or similar for data analysis and visualization, such as BI tools (e.g., Tableau, Power BI) for reporting and dashboard creation.
  • Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
  • Spanish-speaking candidates mandatory

Nice to Have

  • Knowledge of data warehousing concepts, pipelines and ETL processes.
  • Knowledge of advanced statistical techniques or machine learning fundamentals.
  • Familiarity with Agile or Scrum methodologies.

Education:

  • Bachelor’s degree in Business Administration, Data Analytics, Computer Science, or related field.
  • A Master’s degree is considered an asset.

Responsibilities

  • Identify, collect, and assess datasets from internal and external sources
  • Perform exploratory data analysis to uncover patterns, trends, and anomalies
  • Validate data quality, integrity, and consistency through cleansing and preprocessing
  • Partner with SMEs to gather business requirements and refine data solutions
  • Develop dashboards, visualizations, and reports using BI tools
  • Conduct statistical analysis and modeling to support strategic decisions
  • Document data sources, methodologies, and findings for reproducibility and knowledge sharing

Candidate Review & Selection

2 rounds – MS Teams Video Interviews –going through experience, testing language skills, there may be a technical assessment

1st – with Hiring manager and possibly Project manager, and Data Lead – 30 minutes

2nd – with HM (Data Science Director) – 30 minutes

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