Tiger Analytics
Analytics and AI specialist working with 16 of top 20 retail companies, delivering GenAI accelerators and data science solutions
Answer-First Summary
Tiger Analytics is a 3,000-person analytics and AI specialist with its deepest capability in data modernization, AI/ML enablement, and business analytics — all rated Expert — against platform coverage anchored in Snowflake, Databricks, and AWS. The firm's description notes work with 16 of the top 20 retail companies, making it a direct match for retail and CPG buyers evaluating advanced analytics or ML programs.
- Best for
- Tiger Analytics is the right call for large retailers and CPG companies that need advanced analytics, AI/ML, and GenAI capability at enterprise scale — a 3,000-person bench and GenAI accelerators support programs smaller specialist firms cannot staff, at $100–200/hr.
- Wrong for
- Tiger Analytics is the wrong choice for a buyer whose primary need is a deep single-platform engineering specialist (such as a Snowflake Elite or Databricks Premier partner) rather than analytics and AI breadth, or for a mid-market team with a sub-$50K budget.
A Focused Alternative To
Tiger Analytics is named on these profiles as the focused specialist to consider instead of a global SI for the right-sized engagement:
Research Notes for Tiger Analytics
Evidence Signal
Founded in 2011, Tiger Analytics operates with 3,000 professionals at a $100–200/hr rate and $50K+ project floor — a mid-market footprint for analytics-heavy engagements in retail, CPG, consumer goods, and banking.
Rate & Scope Note
Tiger Analytics's $100-200/hr rate and $50K+ minimum project position it as a mid-market option for Retail and CPG companies; enterprises needing advanced analytics and ML. Buyers should weigh that price point against its high mid-market fit and strong platform migration, expert data modernization, expert AI and ML enablement.
Differentiators
- Snowflake plus Databricks coverage instead of a generic all-platform claim.
- Retail positioning with high mid-market fit.
- Capability profile highlights strong platform migration, expert data modernization, expert AI and ML enablement.
Service Capabilities
Expertise & Focus
Core Platforms
Snowflake, Databricks, AWS, GCP, Azure, PowerBI
Industries
Retail, CPG, Consumer Goods, Banking
Best For
Tiger Analytics is the right call for large retailers and CPG companies that need advanced analytics, AI/ML, and GenAI capability at enterprise scale — a 3,000-person bench and GenAI accelerators support programs smaller specialist firms cannot staff, at $100–200/hr.
Wrong For
Tiger Analytics is the wrong choice for a buyer whose primary need is a deep single-platform engineering specialist (such as a Snowflake Elite or Databricks Premier partner) rather than analytics and AI breadth, or for a mid-market team with a sub-$50K budget.
Company Analysis
Tiger Analytics is a 3,000-person analytics and AI specialist with its deepest capability in data modernization, AI/ML enablement, and business analytics — all rated Expert — against platform coverage anchored in Snowflake, Databricks, and AWS. The firm's description notes work with 16 of the top 20 retail companies, making it a direct match for retail and CPG buyers evaluating advanced analytics or ML programs.
Founded in 2011, Tiger Analytics operates with 3,000 professionals at a $100–200/hr rate and $50K+ project floor — a mid-market footprint for analytics-heavy engagements in retail, CPG, consumer goods, and banking.
Tiger Analytics's $100-200/hr rate and $50K+ minimum project position it as a mid-market option for Retail and CPG companies; enterprises needing advanced analytics and ML. Buyers should weigh that price point against its high mid-market fit and strong platform migration, expert data modernization, expert AI and ML enablement.
Capability scoring flags Tiger Analytics as strong in platform migration, expert in data modernization, expert in ai ml enablement , which helps distinguish it from firms with similar platform coverage.
Weighing Tiger Analytics against other options? See where it sits among the top data engineering companies in our independent 2026 directory - profiled by rate, platform focus, and fit.
What Makes Tiger Analytics Different
Why buyers choose Tiger Analytics
Tiger Analytics holds Elite partner status with both Snowflake and Databricks - a combination few firms can claim. A 6,000-person team and a proprietary accelerator stack (Tiger ML, Tiger Datasphere, Tiger Boost, Insights Pro) serve Fortune 1000 companies across retail, CPG, banking, and manufacturing. Google Cloud named it 2026 Data & Analytics Partner of the Year for North America.
Certifications, industries, and reach
Platform credentials include 324 Snowflake SnowPro Core and 35 SnowPro Advanced certifications. Industry focus runs deepest in retail and CPG - where ISG named the firm a top choice - with secondary strength in banking, insurance, manufacturing, and life sciences. Tiger Analytics operates across the US, UK, Canada, India, Singapore, and Australia, and appears in Forrester, Gartner, and Everest reports.
When Tiger Analytics is the wrong fit
Tiger Analytics is a multi-cloud analytics generalist, not a single-platform deep specialist - a firm that has completed 500+ migrations on one destination offers tighter expertise on that specific path. It is also a poor fit for mid-market teams with sub-$50K budgets or for programs centered on SAP integration, mainframe modernization, or niche verticals outside retail and CPG.
Frequently Asked Questions
What type of engagement is Tiger Analytics best suited for?
Tiger Analytics fits best when a buyer needs full-stack analytics and AI delivery at enterprise scale - think a retailer or CPG company modernizing its data platform on Snowflake or Databricks while simultaneously standing up ML and GenAI capabilities. The firm's proprietary accelerators (Tiger ML, Tiger Datasphere, Insights Pro) reduce time-to-value on programs that combine data engineering with advanced analytics or machine learning, which is where its 6,000-person bench pays off.
What does Tiger Analytics charge and what is the project minimum?
Published rates run $100 - 200 per hour with a $50K+ project floor, positioning the firm in the mid-to-upper market. That rate reflects a large global delivery model with significant India-based staffing, so blended rates are often lower than comparable US-only shops at similar hourly ranges. Buyers with sub-$50K budgets or a need for a small, focused team will find better options elsewhere.
Which platforms and industries does Tiger Analytics specialize in?
Tiger Analytics holds Elite partner status with both Snowflake and Databricks - the two dominant lakehouse and cloud data warehouse platforms - and is a Google Cloud Premier Partner named Google Cloud's 2026 Data & Analytics Partner of the Year in North America. AWS and Azure round out the platform coverage. Industry depth is strongest in retail and CPG, where ISG named the firm a leader in retail specialty analytics, with secondary strength in banking, insurance, manufacturing, and life sciences.
When is Tiger Analytics the wrong choice?
Tiger Analytics is a weak fit for a buyer whose primary requirement is a single-platform specialist - for instance, a firm that has done hundreds of migrations exclusively on one destination platform will offer tighter expertise on that path. It is also a poor match when the engagement is centered on mainframe or SAP integration, when the industry is outside retail, CPG, financial services, or manufacturing, or when the budget falls below $50K.
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