Requisition ID: 228992 Thanks for your interest in ScotiaTech, Scotiabank's new and innovative Technology hub in Bogota. Join a purpose driven winning team that promotes creativity and innovation in a fast-paced environment, where we’re always committed to results, in an inclusive, diverse, and high-performing culture. 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. Accountabilities Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge. 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. Understand how the Bank’s risk appetite and risk culture should be incorporate into in day-to-day activities and decisions. Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk. Champions a high-performance environment and contributes to an inclusive work environment. Education / Experience / Other Information Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. Master’s degree preferred. Experience: 3+ 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. Technical Skills: Proficiency in SQL for querying and manipulating large datasets. Experience with Python , R, or similar for data analysis and visualization. Familiarity with BI tools (e.g., Tableau, Power BI) for reporting and dashboard creation. Knowledge of data warehousing concepts. 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. Preferred Qualifications: Experience with cloud -based data platforms (e.g., AWS, Azure, Google Cloud). Big data Knowledge of advanced statistical techniques or machine learning fundamentals. Familiarity with Agile or Scrum methodologies. Working Conditions Work in a standard office-based environment; non-standard hours are a common occurrence. #LI-Hybrid #COLGBS