Senior Data Analyst at VRIZE
Bogotá, Capital District, Colombia — full-time
We are seeking a highly analytical and business-oriented Senior Business Data Analyst to partner directly with business stakeholders and enable data-driven decision making across our retail and ecommerce organization. This role is ideal for someone who thrives at the intersection of business and analytics—someone who enjoys solving ambiguous business problems, proactively identifying opportunities, and translating data into actionable insights. The successful candidate will work closely with business functions such as Merchandising, Growth, Marketing, Category Management, and Operations, leveraging SQL, Python, Snowflake, and modern BI tools to deliver meaningful insights, build intuitive dashboards, and empower business users through self-service analytics. This is a business-facing analytics role and requires exceptional communication, stakeholder management, and consultative problem-solving skills. Key Responsibilities Partner directly with business leaders to understand strategic and operational challenges and translate them into analytical solutions. Analyze large datasets to answer complex business questions and provide actionable recommendations that influence planning and in-season decisions. Build, enhance, and maintain executive dashboards and self-service reports using Sigma (or equivalent BI platforms). Perform ad-hoc analysis to identify trends, business opportunities, risks, and performance drivers. Develop reusable analytical assets and automate repetitive analyses using Python. Coach and enable business users to leverage self-service analytics capabilities effectively. Present analytical findings to non-technical audiences through clear storytelling and data visualization. Proactively identify business opportunities and recommend analytical approaches without waiting for formal requirements. Collaborate with Data Engineering and Technology teams to ensure reliable access to high-quality data while remaining focused on business analytics. Contribute to establishing analytics best practices and improving data-driven decision-making across the organization. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Business Analytics, or a related discipline. 3+ years of experience in a business-facing analytics role supporting business stakeholders. Strong expertise in SQL with hands-on experience querying large datasets (Snowflake preferred). Strong Python skills for data analysis, automation, and AI-assisted analytical workflows (Pandas, NumPy, notebooks, scripting). Experience with modern BI and visualization platforms (Sigma preferred; Tableau, Power BI, or Looker acceptable). Demonstrated experience working directly with non-technical business partners and executive stakeholders. Excellent analytical and problem-solving skills with the ability to work through ambiguous business problems. Strong communication and presentation skills with the ability to explain techni