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.
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.
Similar Jobs
Healthtech • Information Technology • Security • Software • Cybersecurity
Own the strategy, roadmap, and delivery of shared IAM cloud services across product lines. Define platform vision, requirements, adoption plans, and success metrics while partnering with Engineering, Security, Privacy, DevOps, Customer Success, and product teams. Drive interoperability through OIDC, SAML, SCIM, and APIs; improve reliability, security, adoption, and customer outcomes. Communicate priorities and tradeoffs to executives and stakeholders, and guide product-management practices for shared platform services.
Top Skills:
Ai-Assisted WorkflowsAPIsBiometric Identity VerificationCloud ComputingDevOpsDirectory SynchronizationFacial AuthenticationFederationIdentity And Access Management (Iam)MfaObservabilityOidcPasswordless AuthenticationSaaSSAMLScimSdksSlosTenant Isolation
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Build and optimize data models, pipelines, monitoring, lineage, and data quality systems supporting Block’s product data foundation. Own critical data engineering solutions across their full lifecycle, ensure pipeline reliability through on-call support, and translate business and product needs into automated data solutions. Develop AI-assisted workflows and agents for data quality, issue resolution, and operational efficiency while partnering with engineering, product, data science, and machine learning teams.
Top Skills:
AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Own the full sales cycle for complex SaaS deals with 300–2,500-employee companies, focusing on $50k–$75k+ ACV opportunities. Build outbound pipeline, conduct consultative discovery, navigate multi-stakeholder buying groups, negotiate contracts, and close business. Partner with SDRs, Solutions Engineers, Customer Success, Marketing, Product, Design, Education, and Engineering to deliver value-based sales motions and improve corporate segment best practices. Travel up to 25% for onboarding, events, and offsites.
Top Skills:
AINo-Code Web DevelopmentSaaSWeb DesignWebflow
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
