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Added just now
Project Manager, Construction
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- Full-time
Site Manager, Infrastructure & Site Services (Permanent)
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- Full-time
…the quality and effectiveness of the function and leads the Manager, Finance and assigned team members. The role translates financial and operating information into clear recommendations…
Added 29 mins ago
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Associate Director, Corporate and Foundation Relations
University of British Columbia
Vancouver, BC · UBCV | David Strangway Building (STRG)
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Senior Program Manager - Global Product Technology
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Construction Administrator/ Project Manager
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- $90,000 to $120,000 CAD / year
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Added 59 mins ago
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Communications Specialist
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Supply Chain Project Manager - M&E
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Account Manager
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Added 1 hour ago
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Mechanical Field Engineer
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HRbrain Inc.

Intermediate Data Analyst

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Dec 3, 2026
Experience: 5 years of experience in data analysis, with a focus on data discovery and stakeholder engagement.
Posting language: English
Posted: Nov 3, 2026

Original job description

Story Behind the Need

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.

Candidate Value Proposition

Data Discovery & Exploration:

Identify, collect, and assess relevant datasets from internal and external sources to support business objectives.
Perform exploratory data analysis (EDA) to uncover patterns, trends, and anomalies.
Validate data quality, integrity, and consistency, addressing issues through cleansing and preprocessing.
SME Collaboration:
Partner with SMEs across departments (e.g., finance, marketing, operations) to understand business requirements and domain-specific challenges.
Facilitate workshops, interviews, and discussions to gather insights and refine data-driven solutions.
Translate SME feedback into actionable data requirements and ensure alignment with analytical outputs.
Data Analysis & Reporting:
Develop and maintain dashboards, visualizations, and reports using tools like Tableau, Power BI, or similar.
Conduct statistical analysis and modeling to derive insights that inform strategic decisions.
Present findings to stakeholders in clear, non-technical language, tailoring insights to audience needs.
Process Improvement:
Identify opportunities to streamline data discovery processes and enhance data accessibility for SMEs.
Document data sources, methodologies, and findings to support reproducibility and knowledge sharing.
Contribute to the development of data governance and best practices for data handling.

Candidate Requirements/Must Have Skills

5 years of experience in data analysis, with a focus on data discovery and stakeholder engagement.
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.
Knowledge of data warehousing concepts and ETL processes.
Spanish-speaking candidates mandatory

Nice-To-Have Skills

Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
Knowledge of advanced statistical techniques or machine learning fundamentals.
Familiarity with Agile or Scrum methodologies.

Soft Skills Required

Exceptional communication and interpersonal skills to engage with non-technical SMEs.
Strong problem-solving skills and attention to detail.
Ability to manage multiple priorities and deliver results in a fast-paced environment.

Education

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

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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More about this job

Responsibilities

Discover, assess, and analyze datasets; validate data quality; and develop reports, dashboards, and statistical analyses that support business decisions. Collaborate with subject matter experts to translate business needs into data requirements, communicate findings, improve discovery processes, and contribute to data governance practices.

Requirements

Requires at least five years of data analysis experience, including data discovery and stakeholder engagement, along with proficiency in SQL and experience using Python, R, or similar tools and BI platforms. Candidates must speak Spanish and have knowledge of data warehousing and ETL; a relevant bachelor's degree is specified, while a master's degree is an asset.

Skills

Data Discovery
Exploratory Data Analysis
Data Quality Validation
SQL
Python
R
Tableau
Power BI
Statistical Analysis
Data Modeling
Data Warehousing
ETL
Stakeholder Engagement
Data Visualization
Data Governance
Spanish

Visa sponsorship

Not detected in the job text

Keywords

Data Analysis
Data Discovery
Exploratory Data Analysis
Data Quality
Data Cleansing
SQL
Python
R
Tableau
Power BI
Statistical Analysis
Data Modeling
Data Warehousing
ETL
Cloud Data Platforms
AWS
Azure
Google Cloud
Data Governance
Data Migration
Data Transformation
Data Integration
Data Standardization
Data Visualization
Subject Matter Experts
Stakeholder Engagement
Agile
Scrum
Spanish
International Banking

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