Tiger Analytics Logo

Tiger Analytics

Sr. Consultant/Manager - Analytics Consulting

Posted 10 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Ontario, ON, CAN
Senior level
Remote
Hiring Remotely in Ontario, ON, CAN
Senior level
Lead analytics consulting engagements for enterprise clients by translating business challenges into AI and analytics solutions. Define agentic AI requirements, workflows, and outcomes; oversee end-to-end delivery; collaborate with technical and global teams; manage stakeholders and projects; apply statistical and machine learning techniques; and help operationalize solutions that deliver measurable business value.
The summary above was generated by AI

About Tiger Analytics: Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

What you will be doing:

We are seeking an analytics professional to join our team and leverage advanced data science techniques to solve complex business problems for our enterprise clients. In this role, you will:

  • Agentic AI Understanding & Delivery Ownership: Demonstrate a strong understanding of Agentic AI and AI agents, working closely with IT and business teams to define requirements, align on solution design, and manage end-to-end delivery. Take high ownership of execution, coordinating with the team responsible for building the agents to ensure solutions meet business objectives and deliver measurable value.
  • End-to-End Analytics Solution Delivery: Develop and deliver end-to-end analytics solutions based on a deep understanding of business problems, ensuring efficient, predictable, and sustainable execution.
  • Strategic Translation: Work directly with client stakeholders to translate business challenges into high-level analytics solution designs that generate actionable insights and business value.
  • Stakeholder Management & Communication: Build strong relationships with client stakeholders, present analytical solutions to business audiences, and communicate findings and recommendations to senior management.
  • Cross-Functional Collaboration: Collaborate with client stakeholders and globally distributed Tiger Analytics teams to manage analytics projects and ensure successful delivery.
  • Analytical Problem-Solving: Work with team members to identify and apply appropriate data science and analytical techniques to derive meaningful insights and address business challenges.
  • Business Value & Operationalization: Demonstrate the robustness and business impact of analytical solutions, and develop implementation plans to operationalize them effectively.

Requirements
  • 6-10 years of professional work experience with at least 5 years in data analytics
  • Identify and gather business requirements for AI agent use cases, define workflows and expected outcomes, and translate business needs into clear requirements for the technical team to build and implement agentic solutions.
  • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
  • Solid understanding of statistical and machine learning algorithms
  • Strong project management and team management skills and ability to work with global teams
  • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Graduate in Business Analytics or MBA or equivalent work experience

Why Join Tiger Analytics:

  • Drive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes.
  • Build and Lead at Global Scale: Collaborate with exceptional AI, data, engineering, and consulting talent across geographies to deliver transformative solutions and grow strategic client partnerships.
  • Benefits: Medical, Dental, Vision, Retirement Accounts, Long and Short-Term Disability, Life Insurance, HSA/FSA Accounts (USA), and Discretionary time off.
  • Continuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms. Grow alongside a team that invests in developing future-ready skills and encourages innovation.

Benefits

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.

Similar Jobs

3 Hours Ago
Easy Apply
Remote or Hybrid
CA
Easy Apply
Junior
Junior
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Own the full sales cycle for Samsara’s IoT solutions, targeting small and medium-sized businesses with 11–30 vehicles. Responsibilities include outbound prospecting, lead qualification, pipeline generation, customer engagement, pricing negotiations, proof-of-concept sales, and closing transactional deals. The role requires high-volume cold calling, quota achievement, relationship building, and collaboration in a remote, fast-paced sales environment.
Top Skills: Internet Of Things (Iot)SFDC
3 Hours Ago
Easy Apply
Remote or Hybrid
CA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The role involves developing executive relationships, managing customer engagements, and achieving revenue growth through strategic sales efforts focused on government agencies.
10 Hours Ago
In-Office or Remote
Canada
Expert/Leader
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the technical direction and implementation of large-scale SaaS product features. Build secure, reliable, maintainable, well-tested software; evaluate architectural trade-offs; debug team inefficiencies; and contribute to code reviews, documentation, and complex bug fixes. Collaborate across product, design, and engineering, influence strategy, identify organizational blockers, mentor engineers, and improve engineering practices around testing, performance, security, privacy, and reliability.
Top Skills: AWSDistributed SystemsJavaKotlinMicroservicesObservability ToolsSaaS

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account