
Senior Analyst, Data Science and Analytics
Posted Sep 8

Posted Sep 8
This is a fully remote position, open to applicants in Costa Rica.
• Take ownership of designated analytics and data science workstreams from problem identification to delivery.
• Convert business requirements into analytical strategies, models, dashboards, and actionable insights.
• Develop, validate, sustain, and document analytical solutions to aid business decision-making.
• Utilize statistical analysis, machine learning, Python, SQL, BigQuery, and contemporary analytics libraries to tackle complex business challenges.
• Ensure that analytical outputs are reproducible, well-documented, scalable, and meet quality standards.
• Collaborate with both technical and non-technical stakeholders to shape analyses around business inquiries and strategic goals.
• Present findings and recommendations via reports, presentations, dashboards, and documentation.
• Communicate updates, risks, dependencies, and obstacles while fostering cross-functional relationships.
• Discover opportunities to automate recurring analyses and enhance operational efficiency.
• Prioritize tasks across multiple assignments and monitor delivery using Jira and established team processes.
• Document best practices and provide mentorship to junior team members and interns.
• Bachelor’s degree in Statistics, Economics, Mathematics, Actuarial Science, Computer Science, Physics, or another quantitative discipline.
• Two to four years of professional experience in data science, analytics, or a closely related field.
• Familiarity with the fundamentals of statistical analysis and machine learning.
• Excellent written and verbal communication abilities.
• Capability to take charge of deliverables, prioritize tasks, and produce scalable, high-quality analytical solutions with moderate independence.
• Advanced proficiency in Python and SQL.
• Advanced proficiency in BigQuery.
• Experience with contemporary machine learning ecosystems and analytics libraries.
• Familiarity with cloud-based artificial intelligence and data platforms.
• Ability to apply statistical analysis and machine learning methodologies to business problems.
• Experience in an Agile environment and familiarity with Jira or similar tools for managing and tracking work is preferred.
• Prior experience mentoring junior team members or interns is preferred.
• Flexibility in work/life balance.
• Resources available for teams globally to collaborate and achieve excellence.
• Support for professional development and opportunities for career growth.
• Opportunities for mentoring and knowledge-sharing.
• Occasional in-person attendance at work-related events may be supported as part of the remote arrangement.
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