Bilingual (English/Spanish) Data Analyst

Dawninfotek; Toronto; On-site; CAD 55,000 - 83,000; Part time

Job summary

Dawn InfoTekInc is seeking a bilingual Data Analyst (English/Spanish) for a major bank project in Toronto. The role is hybrid with 4 days on-site per week, starting September, and a contract from ASAP to Oct 31, 2025 (approx. 2.5 months) with strong extension potential.

The candidate will discover data, collaborate with SMEs, and build dashboards using Tableau/Power BI, while performing statistical analyses and presenting insights clearly.

Qualifications

• 5 years of data analysis experience with data discovery and stakeholder engagement.
• Proven ability to work with SMEs to deliver data-driven solutions.
• Strong SQL skills for querying and manipulating large datasets.
• Proficiency in Python or R for data analysis and visualization (BI tools).
• Knowledge of data warehousing concepts and ETL processes.
• Spanish-speaking candidates mandatory

Responsibilities

• Identify and assess relevant datasets from internal/external sources to support business objectives.
• Conduct exploratory data analysis to uncover patterns and anomalies.
• Collaborate with SMEs to translate requirements into data-driven insights and dashboards.
• Develop and maintain dashboards and reports using Tableau/Power BI.
• Communicate findings in non-technical language to stakeholders.

Skills

SQL

Python

R

Tableau

Power BI

ETL

Spanish

Education

Bachelor's degree

Master's degree (asset)

Tools

Tableau

Power BI

Job description

Dawn InfoTekInc. is a professional IT consulting team that partners with major financial institutions, investment firms and government sectors. We have been dedicated to delivering cutting-edge consulting services and recruiting all levels of IT positions for our clients.

We are currently seeking competent individuals to fulfill the role ofBilingual (English/Spanish) Data Analystto join our dynamic team for our client, one of themajor banks.

Location Address: Hybrid 4x/week starting in September
Contract Duration: ASAP to Oct 31, 2025 - approx. 2.5 months
Good possibility of extension

Job description:

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.
• Master's degree is considered an asset.