Analyst at Spinnaker Analytics LLC

What You'll Do: • Analyze data and business information to identify trends, patterns, opportunities, and insights.• Use a variety of tools and techniques to extract, organize, analyze, and visualize data.• Work with business and technical teams to understand requirements and develop analytical solutions.• Conduct research and perform quantitative and qualitative analysis across different projects.• Build reports, dashboards, presentations, and other analytical deliverables to support business and client needs.• Develop and track KPIs and other relevant business metrics.• Work with data from multiple sources while ensuring accuracy and consistency.• Present findings and recommendations clearly to both technical and non-technical stakeholders.• Identify opportunities to improve analytical processes, reporting, and workflows.• Collaborate with team members across different functions and contribute to a positive, creative, and solution-oriented work environment.• Take ownership of assigned projects and manage priorities effectively.• Travel to and from client sites and other Spinnaker offices Required (approximately 5–10% of time annually), depending on project requirements What We are Looking For: • Strong analytical and critical-thinking abilities.• Creative and structured approach to solving problems.• Ability to work with large datasets, research information, and draw meaningful conclusions.• Comfortable with self-learning and using a variety of analytical, data, and visualization tools.• Strong written, verbal, and presentation skills.• Ability to communicate complex information clearly to different audiences executives.• Collaborative mindset with the ability to work effectively in a team.• Strong attention to detail and commitment to producing high-quality work.• Curiosity, adaptability, and willingness to learn new tools, technologies, and areas of business.• Ability to work independently and take ownership of responsibilities. Preferred Qualifications• Bachelor’s or master’s degree in business, Analytics, Data Analytics, Statistics, Economics, Computer Science, Engineering, Business, or a related field.• 2–4 years of relevant professional experience is preferred, but candidates with strong academic, internship, project, or research experience are encouraged to apply.• Experience with data analysis, business intelligence, research, consulting, or similar analytical work.• Familiarity Experience with tools such as Python, Excel, Power BI, AI LLMs, Tableau, or other data and visualization platforms. for data analysis, business intelligence, research, consulting, or similar work• Exposure to databases, data warehouses, cloud platforms, AI/automation tools, or statistical analysis is a plus.