Staff Data & Insights Analyst

Job Description

The Data & Insights function plays a strategic and technical role in transforming data into actionable business insights. Key responsibilities include: 

• Development of business indicators to support decision-making processes. 
• Design and implementation of machine learning models to aid decision-making, as well as to create opportunities and new products integrated with our AI platform. 
• Supporting the AI and ML teams in building the MLOps platform by testing solutions and contributing requirements. 
• Leading technical initiatives within analytics projects, acting as a technical reference point to resolve challenges and support the team throughout the project lifecycle. 
• Actively engaging in discussions on the evolution of the data domain, proposing new methodologies, tools, and innovative projects to address the challenges faced by internal stakeholders. 
• Carry out ad hoc studies using our data to support business teams 

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. 

Qualifications

Basic Qualifications:

• 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.

Preferred Qualifications:

• 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
• Expertise in SQL for large-scale data manipulation and analysis.
• Proficiency in Python, focused on data analysis and model development.
• Advanced experience with Databricks, including notebooks.
• Experience with Git for code versioning and team collaboration.
• Expertise in BI and data modeling, with the ability to structure data for visualizations and strategic analyses.
• Experience working in environments with high data volume and performance requirements.
• Experience with modern data architecture (Data Lakehouse, medallion architecture). Experience in statistical modeling, including linear regression, logistic regression, clustering, and related methods.
• Proficiency in Prompt Engineering techniques.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.