Tiger Analytics Logo

Tiger Analytics

Manager, Analytics Consulting

Posted 5 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
Expert/Leader
Remote
Hiring Remotely in Canada
Expert/Leader
Advise business leaders on complex decisions by structuring ambiguous problems, analyzing data, developing insights, and translating recommendations into measurable outcomes. Rapidly prototype solutions using GenAI, agentic AI, analytics, and low-code/no-code tools. Coordinate data scientists, engineers, domain experts, product teams, and AI agents while communicating clearly with senior stakeholders and continuously evaluating emerging technologies.
The summary above was generated by AI

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 has been recognized by various market research firms, including Forrester and Gartner.

We are looking for a business-first, analytically strong consultant who can work directly with business leaders to understand complex decisions, challenge conventional thinking, and rapidly translate business needs into data- and AI-enabled solutions.

This is not a traditional requirements-gathering role. The consultant will be expected to understand how the business operates, identify the decisions that matter, determine what information and analysis are needed, and rapidly mobilize AI/Agentic tools, data and specialist teams to solve the problem.

The ideal candidate has operated in an environment where they have regularly used data and analysis to support business decisions and is excited about learning and applying emerging AI technologies.

Responsibilities

  • Understand the business and the decision: Engage business stakeholders to understand objectives, economics, processes, constraints and the decisions they are trying to make—not simply document stated requirements.
  • Challenge and structure problems: Ask the right questions, challenge assumptions and convert ambiguous business issues into clear hypotheses, analyses and decision frameworks.
  • Use data to develop insights: Explore and interpret data, conduct rapid analyses, identify patterns and translate findings into business implications and recommendations.
  • Rapidly prototype solutions: Use GenAI, Agentic AI, analytics and low-code/no-code tools to rapidly explore ideas, analyze information and develop working prototypes.
  • Orchestrate expertise: Recognize when deeper expertise is required and effectively leverage data scientists, engineers, domain experts, product teams and AI agents rather than attempting to build everything independently.
  • Drive from insight to action: Communicate findings in simple business language, recommend actions and work with stakeholders to translate recommendations into measurable business outcomes.
  • Continuously learn: Rapidly experiment with emerging AI and technology capabilities and identify where they can materially improve business decision-making.

Requirements

8-10 years of experience in business analytics, strategy/management consulting, commercial analytics, operations, supply chain, finance, marketing/customer analytics, product management or a similar decision-oriented business environment.

The person should demonstrate:

  • Strong business curiosity and problem-solving ability.
  • Experience working directly with business stakeholders and senior leaders.
  • Strong analytical orientation and comfort working hands-on with data.
  • Ability to move from business question → hypothesis → analysis → insight → decision/action.
  • Ability to challenge stakeholders constructively rather than simply accepting requirements.
  • Comfort operating with ambiguity and solving loosely defined problems.
  • Strong written, verbal and executive communication skills.
  • Working familiarity with analytical tools such as Excel, SQL, BI/visualization tools and/or Python.
  • Strong interest and hands-on aptitude with GenAI, AI agents and emerging productivity/development tools.
  • Ability to learn new technologies quickly without needing to be a deep software engineer.
  • Ability to bring together business, analytics, technology and specialist teams to deliver solutions rapidly.

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.

Similar Jobs

5 Days Ago
In-Office or Remote
Entry level
Entry level
Big Data • Analytics • Business Intelligence • Big Data Analytics
Supports due diligence, portfolio monitoring, and investment analysis by collecting, validating, integrating, and governing land, mineral, lease, title, deed, and royalty data. The role gathers requirements, documents processes, develops reporting and KPIs, improves data quality, and translates business needs into actionable analytical and operational solutions. It collaborates with business, IT, vendors, geoscience, legal, finance, and engineering stakeholders while coordinating testing, implementation, and multiple priorities.
Top Skills: ExcelGisMaster Data ManagementSQL
5 Days Ago
In-Office or Remote
Senior level
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
Manage analytics consulting projects from problem definition through solution delivery. Translate client business challenges into analytics designs, apply statistical and machine learning techniques, present insights to executives, and develop plans to operationalize solutions. Collaborate with global consulting, IT, and data engineering teams while managing stakeholders and project teams.
Top Skills: Hadoop HdfsHivePythonQlikRSQLTableau
An Hour Ago
Remote or Hybrid
Mid level
Mid level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Leads video game quality assurance strategy, teams, testing coverage, and processes. Assigns workloads, oversees test plans and risk assessments, reviews bug reports, supports integration and smoke testing, investigates technical issues using debugging tools and logs, and collaborates with developers, designers, producers, and stakeholders to maintain build stability and improve QA workflows, tools, dashboards, and quality standards.
Top Skills: DevtrackGitHansoftJIRAPerforceUnityUnreal

What you need to know about the Vancouver Tech Scene

Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account