Manager/ Sr. Manager - Analytics Consulting (Canada)

Job summary

Translate complex business problems into high-level analytics solution designs and manage end-to-end delivery. Collaborate with global teams and senior stakeholders to operationalize data-driven insights that generate business value.

Job details

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 someone with a good blend of business consulting skills and data analytics background. Responsibilities: Work on the latest applications of data science to solve business problems Work directly with client stakeholders to translate business problems into high level analytics solution designs Present analytical solutions to business audiences highlighting robustness of the solution and how it could help generate business value Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably Responsible for managing analytics projects, collaborating with client stakeholders and Tiger's team situated globally Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution Requirements 6-10 years of professional work experience with at least 5 years in data analytics 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 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.

What you’ll do

Translate complex business problems into high-level analytics solution designs and manage end-to-end delivery. Collaborate with global teams and senior stakeholders to operationalize data-driven insights that generate business value.

Requirements

Requires 6-10 years of professional experience with at least 5 years in data analytics and strong proficiency in SQL, Python, or R. A degree in Business Analytics, an MBA, or equivalent experience is required along with strong project management skills.

Benefits

• Career Development Opportunities

Listed skills

• SQL · Preferred
• Tableau · Preferred
• Machine learning · Preferred
• Project management · Preferred
• Stakeholder Management · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Science
• Machine Learning
• AI
• Business Consulting
• SQL
• R
• Python
• Qlik
• Tableau
• Project Management
• Team Management
• Stakeholder Management
• Statistical Algorithms
• Hadoop HDFS
• Hive
• Cloud Platforms

Job areas

• Data & Analytics
• Consulting
• Management & Leadership
• Technology
• Software