Data Analyst

Job summary

Discover, assess, and analyze datasets; validate and prepare data; and develop dashboards, reports, and statistical analyses to support business decisions. Collaborate with subject matter experts to translate business needs into data requirements, communicate findings, improve discovery processes, and contribute to data governance and documentation.

Job details

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. 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: 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: • 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). • 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 modeling, 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.

What you’ll do

Discover, assess, and analyze datasets; validate and prepare data; and develop dashboards, reports, and statistical analyses to support business decisions. Collaborate with subject matter experts to translate business needs into data requirements, communicate findings, improve discovery processes, and contribute to data governance and documentation.

Requirements

Requires 2–4 years of experience in data analysis, data mapping, and data modeling, a track record of delivering data-driven solutions with subject matter experts, and proficiency in SQL plus Python, R, or similar tools. Candidates must speak Spanish and have experience with cloud data platforms; a relevant bachelor's degree is specified, while a master's degree is an asset.

Listed skills

• Data visualization · Preferred
• Power BI · Preferred
• SQL · Preferred
• Tableau · Preferred
• Data analysis · Preferred
• Communication · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Analysis
• Data Discovery
• Data Mapping
• Data Modeling
• SQL
• Python
• R
• Data Visualization
• Tableau
• Power BI
• Cloud Data Platforms
• Data Quality Validation
• Statistical Analysis
• SME Collaboration
• Data Governance
• Communication

Job areas

• Data & Analytics
• Technology
• Finance & Accounting
• Management & Leadership

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