Director - Analytics Consulting

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by leading market research firms, including Forrester and Gartner.

We are looking for someone with a strong blend of business consulting skills and data analytics expertise who can bridge the gap between analytics strategy and measurable business outcomes. The ideal candidate will partner with cross-functional stakeholders to design, prioritize, and deliver analytics programs that drive operational and commercial impact.

Responsibilities:

• Work on the latest applications of data science to solve complex business problems.
• Work directly with client stakeholders to translate business problems into high-level analytics solution designs and business transformation initiatives.
• Present analytical solutions to business audiences, highlighting the robustness of the solution and its potential business impact.
• Lead end-to-end delivery of analytics programs, collaborating with client stakeholders and Tiger’s globally distributed teams.
• Identify process gaps and redesign workflows to improve efficiency, decision-making, and operational effectiveness.
• Drive cross-functional integration by connecting data flows, KPIs, and business processes across functions to enable unified reporting and enterprise-wide analytics adoption.
• Facilitate use-case prioritization workshops with business and technology stakeholders and develop analytics roadmaps aligned with strategic priorities and resource constraints.
• Define value frameworks, baseline metrics, and ROI measurement methodologies to quantify business impact and articulate the value delivered by analytics initiatives.
• Serve as a trusted advisor to executive and VP-level stakeholders, driving alignment, change management, and adoption of analytics-driven decision making.
• Establish governance mechanisms and performance dashboards to track program health, business outcomes, and realized value.
• Participate in discussions with team members to select and apply relevant analytical techniques and create actionable business insights.
• Responsible for making presentations to senior management, communicating results to business teams, and developing plans to operationalize analytics solutions.

Requirements

• 15–18 years of professional work experience, with at least 12 years in data analytics, analytics consulting, or business transformation programs.
• Ability to engage with executive and VP-level stakeholders to translate business problems into high-level analytics and transformation roadmaps.
• Strong consulting, stakeholder management, and problem-solving skills with the ability to influence cross-functional teams.
• Experience in program delivery, use-case prioritization, process improvement, and analytics roadmap development.
• Strong project management and team management skills with the ability to work effectively with global teams.
• Ability to quantify business impact and articulate ROI through executive-level storytelling and business cases.
• Solid understanding of statistical and machine learning algorithms.
• Strong SQL skills and hands-on experience with analytical tools such as R and Python, along with visualization tools like Qlik or Tableau.
• Exposure to cloud platforms and big data systems such as Hadoop HDFS and Hive is a plus.
• Ability to work closely with IT and Data Engineering teams to embed analytical outputs into business processes and operational workflows.
• Graduate in Business Analytics, MBA, or equivalent work experience.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.