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Senior Consultant/Manager - Analytics Consulting

Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
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What you’ll bring

All qualifications

Core experience

  • 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 SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
Qualification wording
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 SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
Apply at Tiger Analytics

Posting record

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Status in our records
Live
First seen by us
Oct 22, 202621 days ago
Recorded sightings
25
Last seen by us
Nov 12, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 21

Similar jobs usually come down between day 8 and day 60.

At Tiger Analytics, jobs usually come down by about day 68.

From 11,617 similar postings that came down, and 27 of Tiger Analytics’s. Coming down is not always a hire.

Tiger Analytics is hiring

74 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Its jobs tend to stay up a long time
  • 1% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • Hadoop
  • Hive
  • Tableau
Where the posting names them
- 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
- 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

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

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Ontario, Canada

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