Job Description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 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 has been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Manager / Sr. Manager – Manufacturing Analytics to lead high-impact, client-facing analytics engagements. This role is centered on delivering ad hoc, insight-driven analysis across key business areas, including margin performance, sales and pipeline analytics, marketing effectiveness, market intelligence, and digital user journeys.

A significant portion of this role (70–80%) will involve building and presenting Weekly Business Review (WBR) decks for senior leadership, and conducting deep-dive analyses to uncover trends, risks, and opportunities. The remaining time will be dedicated to designing and developing scalable dashboards in Looker and other BI tools to drive business adoption and self-service analytics. This is a highly visible role requiring strong storytelling, stakeholder management, and the ability to translate complex, ambiguous data into clear business recommendations.

Key Responsibilities

• Lead the development and delivery of executive-ready Weekly Business Review (WBR) presentations for senior leadership (SLT)
• Conduct in-depth, ad hoc analyses across margin, sales performance, pipeline health, marketing effectiveness, and customer behavior
• Translate complex and ambiguous datasets into clear, actionable insights and strategic recommendations
• Act as a trusted advisor to client stakeholders, driving data-informed decision-making
• Partner with cross-functional teams across sales, marketing, finance, and digital to understand business needs and deliver impactful analytics solutions
• Design, build, and optimize dashboards using Looker and other BI tools to enable scalable reporting and self-service analytics
• Analyze digital user journeys using clickstream data to identify opportunities for optimization and growth
• Perform advanced marketing analytics, including CLTV modeling, cohort analysis, and campaign performance measurement
• Support sales and financial analytics, including P&L analysis, forecasting, and pipeline tracking
• Ensure high standards of data quality, integrity, and clarity in all deliverables

Requirements

• Bachelor’s degree in Analytics, Business, Economics, Data Science, or a related field
• 8+ years of experience in analytics, consulting, Manufacturing Analytics, or a related field, preferably in CPG or similar industries
• Must have led programs in the manufacturing analytics space and should be well-versed in manufacturing datasets such as sensor data, and plant floor operational data.
• Advanced proficiency in SQL for data extraction, transformation, and analysis
• Strong expertise in Power BI or similar data visualization tools (Looker experience is a plus)
• Proven experience creating executive-ready presentations and storytelling with data
• Excellent communication and stakeholder management skills, with experience working with senior leadership
• Strong analytical mindset with the ability to work with ambiguous, incomplete, or “fuzzy” data
• Experience in digital analytics (clickstream), marketing analytics (CLTV, cohort analysis), and sales/P&L analytics

Preferred Qualifications

• Experience in CPG or similar industries
• Familiarity with Looker for dashboard development and data modeling
• Experience working in fast-paced, client-facing environments
• Strong business acumen with the ability to connect data insights to strategic outcomes

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging 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.

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