Spanish Data Analyst

Nexus Systems Group Inc.; Toronto; Hybrid; CAD 70,000 - 90,000; Full time

Job summary

A technology firm in Ontario is seeking a skilled Data Analyst to join their team. The ideal candidate will have 5 years of data analysis experience, strong SQL skills, and proficiency in data visualization tools like Tableau or Power BI. Familiarity with cloud platforms is a plus. This hybrid role involves collaboration with Subject Matter Experts to uncover actionable insights and ensure data solutions meet business needs. Spanish-speaking candidates are preferred.

Qualifications

• 5 years of experience in data analysis, focusing on data discovery.
• Proven ability to work with SMEs to deliver solutions.
• Proficiency in SQL for large datasets manipulation.
• Experience with Python or R for data analysis.
• Knowledge of data warehousing and ETL processes.
• Mandatory Spanish speaking.

Responsibilities

• Identify and assess relevant datasets for business objectives.
• Conduct exploratory data analysis to uncover trends.
• Develop dashboards and visualizations for reporting.
• Identify process improvement opportunities.

Skills

Data analysis experience

Stakeholder engagement

SQL proficiency

Data visualization (Tableau, Power BI)

Spanish-speaking

Education

Bachelor’s degree in a relevant field

Master’s degree

Tools

Tableau

Power BI

Python

R

Job description

Overview

Location: Hybrid - Toronto. Currently mandate is to come in 4x/week starting in September; this is subject to change for the team. Candidates in the GTA who are OK with this arrangement are preferred.

Contract Duration: ASAP to Oct 31, 2025 – approximately 2.5 months. Good possibility of extension. Number of Positions: 1. Schedule Hours: 9am-5pm, Monday-Friday (standard 37.5 hrs/week). Reason: Additional workload.

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 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 while promoting progression 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

• 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.

Best vs. Average Candidate

The best candidate will have hands-on experience with data visualization tools, a solid understanding of data modeling, and a proven ability to work effectively in collaborative team environments. They should also have experience working with big data technologies and managing large-scale databases. This combination of technical expertise and teamwork is essential for transforming complex data into actionable insights and supporting data-driven decision-making across the organization.

Candidate Review & Selection

2 rounds – MS Teams video interviews; language skills assessment and possible technical assessment. 1st interview with Hiring Manager and possibly Project Manager, and Data Lead – 30 minutes. 2nd interview with Hiring Manager (Data Science Director) – 30 minutes. Hiring Manager’s availability to interview: ASAP.