Bilingual Data Analyst - SQL, Spanish

FP Inc.

Toronto, ON, Canada
Contract
Hybrid
C$40 - C$54

Typical Day in Role:

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 - 7(max) years of experience in data analysis, data mapping, data discovery, 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).
  • Spanish-speaking candidates mandatory

Nice-To-Have Skills:

  • Knowledge of data warehousing concepts, pipelines and ETL processes.
  • 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.