Analytics Consulting - Data Science

Tiger Analytics•San Francisco, CA

About The Position

Tiger Analytics is seeking an experienced Analytics Consulting professional with a strong background in Data Science and proven capabilities in project planning, coordination, and delivery. The role combines analytical expertise with consulting skills to drive data-driven business decisions, manage stakeholder expectations, and deliver impactful analytics solutions. The successful candidate will lead analytics engagements, develop actionable analytical solutions, coordinate cross-functional teams, and communicate findings to senior stakeholders. The role may also contribute to pricing analytics and collaborate with technology teams using cloud-based analytics platforms and modern data engineering capabilities.

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 techniques 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 leverage cloud-based analytics platforms and modern data engineering capabilities.

Benefits

  • Significant career development opportunities as the company grows.
  • Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
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