Analytics Consulting - Data Science

Tiger Analytics Inc. • San Francisco, CA

6h

About The Position

Tiger Analytics is seeking an experienced analytics consulting professional with a strong background in Data Science and capabilities in project planning, coordination, and delivery. The role combines analytical expertise with consulting skills to support data-driven business decisions, manage stakeholder expectations, and deliver impactful analytics solutions. The successful candidate will lead analytics engagements, work with business and technology stakeholders, and help develop solutions that address complex business problems. Pricing analytics may also be part of the work. The position offers career development opportunities in a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.

Requirements

• 8+ years of experience in Analytics Consulting, with a strong foundation in Data Science and advanced analytics.
• Proven ability to manage project planning, stakeholder coordination, and end-to-end delivery alongside consulting responsibilities.
• Strong analytical, problem-solving, and communication skills.
• Experience translating business requirements into analytical solutions and actionable business recommendations.
• Demonstrated ability to work with cross-functional teams and manage multiple priorities in a consulting environment.

Responsibilities

• Lead analytics consulting engagements using Data Science and advanced analytics to solve complex business problems.
• Manage end-to-end project planning, execution, coordination, and delivery while balancing hands-on consulting responsibilities.
• Work with business stakeholders to understand requirements, define analytical problem statements, and translate business needs into actionable insights.
• Develop and implement data-driven solutions, analytical models, and recommendations to support business strategy and decision-making.
• Coordinate cross-functional teams to ensure timely delivery of project milestones, quality standards, and expected business outcomes.
• Present analytical findings, insights, and recommendations to senior stakeholders in a clear, business-oriented manner.
• Contribute to pricing analytics initiatives, including pricing strategy, optimization, and performance analysis, where applicable.
• Collaborate with technology teams to use cloud-based analytics platforms and modern data engineering capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed