Bilingual Data Analyst (Spanish)

Contract Duration: ASAP – Nov 30th Possibility of extension & conversion to FTE –  Based on performance and project funding Number of Positions: 1 Schedule Hours: 9 am-5 pm Monday-Friday (No OT) Reason: Extra support 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/initiatives: Require a Data Analyst to support the project, which has complex requirements to build insights on Insurance customers across multiple geographies in International Banking. 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, accessibility and data bricks. Scope: The primary objective of this project 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 Data mapping 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, enabling tactical solutions (quick, connected to local sources) when necessary, while promoting progressive advancement 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: The successful candidate will have the opportunity to work in a growing field in the banking industry 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: • 3-4 (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. Best vs. Average Candidate The best candidate will have hands-on experience with data visualization tools, a solid understanding of data mapping, data discovery and data modelling, 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.