In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best…
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We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Full company description
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
LinkedIn followers
630,421
People associated on LinkedIn
6,613
Reported office locations
2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US
111 Town Square Pl, Jersey City, New Jersey 07310, US
36 Robinson Rd, Singapore, Singapore 068877, SG
55 E Monroe, Suite 3800, Chicago, Illinois 60603, US
383 Kent St, Level 17, Sydney, New South Wales 2000, AU
200 Bay St, North Tower, Suite 1200, PO Box 96, Toronto, Ontario M5J 2J2, CA
RMZ Millenia Business Park 2, Campus 5, 2nd Floor, No. 143, Kandanchavadi, MGR Road, Perungudi, Chennai, Tamil Nadu 600096, IN
Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, 560103, IN
8th Floor, B block (iSprout), Divyasree Trinity, Hitech City Rd, Madhapur,, Hyderabad, Telangana 500081, IN
De Entree 252, Amsterdam, North Holland 1101 EE, NL
Business categories
News
Consulting
Analytics
Advertising
Big Data
Machine Learning
Other recorded names
Tiger Analytics
Tiger Analytics Inc.
Specialties
Machine Learning
Predictive Analytics
Forecasting
Natural Language Processing
Computer Vision
Cloud Data Platform Engineering
Data-as-a-service
Lean Data Governance
Modern BI & Data Warehousing
AI/ML Ops
ML Product Engineering
Data Engineering
Data Modernization
and Generative AI
Profile identifies a recruitment agency
No
Reported total investment
0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Business Consulting and Services
Size
5,001-10,000 employees
Headquarters
Santa Clara, CA
Organization type
Privately Held
Year founded
2011
Specialties
Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops
Tiger Analytics Inc. has 81 open jobs in Canada as of November 6, 2026. Top locations: Toronto.
10+ YOECandidates need 10+ years of experience as a technical program manager on large enterprise software systems, plus hands-on exposure to Generative AI such as RAG systems and agentic frameworks. Strong communication and stakeholder management skills are essential.
10+ YOECandidates need 10+ years of experience, including a strong record as a Technical Program Manager on large enterprise software systems. They must have hands-on experience with Generative AI, RAG systems and agentic frameworks such as LangChain and LangGraph, plus strong communication and stakeholder skills.
5+ YOECandidates need 5+ years of cloud architecture experience on Azure, AWS or GCP and 2+ years building LLM applications. They also need strong Python skills, hands-on experience with agent frameworks, and the ability to explain AI concepts to non-technical leaders.
5+ YOECandidates need 5+ years architecting cloud solutions on Azure, AWS, or GCP and 2+ years working with LLMs and agent systems. Hands-on skill with agent frameworks, strong Python, and vector database experience are required.
10+ YOECandidates need 10 to 14 years of recruiting experience, including senior recruiting, and a bachelor's degree. Consulting experience with global operations and hiring for data science and machine learning roles are preferred, and work authorization in Canada is required.
10+ YOECandidates need 10 to 14 years of recruiting experience, including senior recruiting, and a bachelor's degree. Tiger Analytics prefers experience hiring data science and machine learning talent and working with a global consulting firm, and asks for work authorization in Canada.
9+ YOECandidates need 9 to 15 years of experience, with at least 5 in HR analytics, and strong knowledge of HR metrics such as attrition and span of control. They must lead discovery workshops, manage senior stakeholders and hold a business analytics or MBA degree or equivalent experience.
9+ YOECandidates need 9 to 15 years of professional experience, including at least 5 years in HR analytics and enterprise HR data transformation. They should know HR metrics such as attrition and headcount, lead workshops with senior leaders, and hold a business analytics or MBA degree or equivalent experience.
6+ YOECandidates need 6-10 years of experience, at least 5 in data analytics, plus strong SQL, Python or R, and visualization skills in Qlik or Tableau. They also need project and team management skills and experience working with global teams and senior client stakeholders.
6+ YOECandidates need 6-10 years of work experience, at least 5 in data analytics, and strong SQL skills. They also need a solid grasp of statistical and machine learning methods, project and team management experience, and a business analytics or MBA degree or equivalent experience.
Candidates need product management experience, ideally in insurance, actuarial or financial services, with a solid grasp of pricing, underwriting, reserving and claims. They also need to translate business needs into product features, work with technical teams, and communicate results to leadership.
Stakeholder management, Underwriting, Financial forecasting, Product comprehension, Communication skills, Process improvement
8+ YOECandidates need 8 to 14 years of experience, including 5+ years in business or data analytics and Retail or CPG work. Strong Python, SQL and Power BI skills, supply chain knowledge, and the ability to influence executives are required.
15+ YOETiger Analytics needs 15+ years in commercial pharma analytics or data product management. Candidates must know commercial pharma functions, industry datasets, and tools such as SQL, Snowflake and Power BI.
Snowflake, Databricks, Power BI, Tableau, SQL, AWS
12+ YOETiger Analytics wants candidates with 12+ years in pharma or life sciences commercial analytics, data product management or analytics consulting. Candidates need gene therapy domain knowledge, pharma launch experience, hands-on Snowflake and Power BI semantic model skills, and the ability to build from scratch.
5+ YOECandidates need 5 to 8 years of experience in Oncology or Life Sciences, strong consulting and requirement-gathering skills, and hands-on basic SQL. Tiger Analytics also wants experience with offshore delivery models and strong communication.
7+ YOECandidates need 7 to 8+ years of hands-on AWS cloud infrastructure and EMR administration experience. Tiger Analytics Inc. requires strong skills in EMR, EC2, S3 and CloudFormation, plus Infrastructure as Code and CI/CD experience with Terraform or CodePipeline.
5+ YOECandidates need a bachelor's degree in a quantitative field and 5+ years in data consulting, BI or analytical roles. They need advanced SQL, Python data skills, and experience designing metrics and guiding Power BI dashboard development.
Candidates need hands-on experience with Google Cloud Platform and Vertex AI, strong Python skills, and experience with generative AI, RAG and agent frameworks. Experience building APIs, scalable systems and production ML workflows is also expected.
10+ YOECandidates need 10+ years as a data scientist focused on supply chain optimization and inventory allocation, plus an MS or PhD in a quantitative field. Strong Python, PySpark and SQL skills and experience with solvers such as Gurobi, CPLEX or OR-Tools are required.
Candidates need a degree in computer science, engineering or a related field, plus AI/ML or GenAI experience. They must know LLMs, LLM agents, prototyping in Python or similar tools, and cloud ML platforms, and be strong at presenting ideas.
Python, NodeJS, Streamlit, LangGraph, ADK, Vertex AI
8+ YOECandidates need substantial Scrum Master or Agile delivery experience, advanced knowledge of Scrum, Lean and Agile, and experience with release and change management. Experience with Azure DevOps or Jira, cloud platforms like Azure or AWS, and data science programs is preferred.
10+ YOECandidates need 10+ years as a data scientist with a focus on supply chain optimization and inventory allocation, plus an MS or PhD in a related field. They must know mathematical programming solvers, statistical and predictive modelling methods, Python, PySpark and SQL, and communicate clearly with business stakeholders.
8+ YOECandidates need 8 to 14 years of experience, including 5+ years in analytics, with mandatory Retail or CPG experience in supply chain. Strong Python and SQL, statistics, machine learning and executive communication are required.
10+ YOE5+ MgmtCandidates need 10-16 years in commercial pharma or life sciences analytics and 5-7 years in BI management or consulting. Strong SQL, Power BI, R and Python skills, and experience with pharma data sources such as IQVIA, CRM and HUB data are required.