An Initial AI Screening will be conducted for this role. Please Click Here to complete your AI screening while submitting your application.
Contract Duration: ASAP to Feb 2027
Daily Responsibilities:
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.
Must Have Skills:
- Spanish-speaking candidates mandatory
- 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).
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.
FP Inc. is committed to creating an inclusive environment where all team members and clients feel like they belong. In accordance with the requirements set out in the Employment Standards Act, FP Inc. hereby declares that AI is utilized in the screening process for this position. The hourly compensation range for this role is $35/hr -$46/hr. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, colour, religion, national origin, sex, physical or mental disability, or age.
