
Senior Consultant/Manager – Analytics Consulting
Posted Oct 23

Posted Oct 23
This is a fully remote position, open to applicants in Canada.
• Exhibit a deep understanding of Agentic AI and AI agents.
• Collaborate with IT and business teams to establish requirements, align on solution design, and oversee comprehensive delivery.
• Work alongside the team responsible for creating agents to ensure that solutions align with business goals and provide measurable value.
• Design and implement end-to-end analytics solutions that address business challenges.
• Convert business issues into high-level analytics solution frameworks.
• Cultivate relationships with client stakeholders and showcase analytical solutions to business audiences.
• Present findings and recommendations to senior management effectively.
• Partner with client stakeholders and globally distributed Tiger Analytics teams to execute analytics projects.
• Recognize and apply suitable data science and analytical techniques to generate valuable insights.
• Illustrate the reliability and business impact of analytical solutions.
• Create implementation strategies to effectively operationalize analytical solutions.
• 6-10 years of relevant professional experience, with a minimum of 5 years focused on data analytics.
• Identify and collect business requirements for AI agent use cases, outline workflows and expected outcomes, and convert business needs into clear specifications for the technical team to develop and implement agentic solutions.
• Capability to engage with executive/VP level stakeholders from the client’s team to translate business issues into high-level analytics solution strategies.
• Strong grasp of statistical and machine learning algorithms.
• Excellent project management and team leadership abilities, with experience working with global teams.
• Proficient in SQL and hands-on experience with analytical tools such as R & Python, along with visualization tools like Qlik or Tableau.
• Familiarity with cloud platforms and big data systems, such as Hadoop HDFS and Hive, is advantageous.
• Ability to collaborate with IT and Data Engineering teams to integrate analytical outputs into business processes.
• A graduate degree in Business Analytics, an MBA, or equivalent professional experience.
• Medical.
• Dental.
• Vision.
• Retirement Accounts.
• Long and Short-Term Disability.
• Life Insurance.
• HSA/FSA Accounts (USA).
• Discretionary time off.
• Continuous learning and AI upskilling opportunities.
• Hands-on exposure to emerging technologies.
• Opportunities to develop expertise in Generative AI, agentic AI, and next-generation data platforms.
• Equal employment opportunities.
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