Analyst

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.