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How much do tiger analytics jobs pay per month?

As of Aug 23, 2026, the average monthly pay for tiger analytics in the United States is $6,290.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,708.33 and $6,708.33 per month, depending on experience, location, and employer.

What is Tiger Analytics?

Tiger Analytics is a global analytics and data science consulting firm that helps organizations solve complex business problems using data-driven solutions. They specialize in advanced analytics, machine learning, artificial intelligence, and data engineering to help clients across various industries, such as retail, finance, healthcare, and manufacturing. Tiger Analytics works with companies to optimize operations, enhance customer experiences, and drive business growth through actionable insights from data.

What skills and qualifications are needed to thrive as a data scientist at Tiger Analytics?

To thrive as a Data Scientist at Tiger Analytics, you need strong analytical skills, expertise in statistics, proficiency in programming languages like Python or R, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms is typically required. Exceptional problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills for this role. These competencies are vital for delivering actionable insights, building predictive models, and driving value for clients in data-driven projects.

What opportunities for professional development and career advancement can I expect at Tiger Analytics?

At Tiger Analytics, team members are encouraged to continuously upskill through access to training programs, certifications, and mentorship from experienced colleagues. The company fosters a collaborative environment where you can work on diverse projects across industries, which broadens your technical and domain expertise. Career growth is supported by clear progression paths, regular performance reviews, and opportunities to lead teams or move into specialized roles based on your interests and strengths.

What is the difference between Tiger Analytics vs Data Scientist?

AspectTiger AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related fields; often certifications in analytics toolsBachelor's or Master's in Computer Science, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentConsulting firms, analytics service providers, client sitesTech companies, finance, healthcare, or research organizations
Employer & Industry UsageConsulting and analytics firms serving diverse industriesVaried industries including tech, finance, healthcare, and academia

Both roles focus on data analysis, but Tiger Analytics often involves consulting and client-facing projects, while Data Scientists typically work within organizations to develop models and insights. The roles share similar educational backgrounds and certifications, but differ mainly in work environment and industry application.

More about Tiger Analytics jobs

What states have the most Tiger Analytics jobs?

States with the most job openings for Tiger Analytics jobs include:

What job categories do people searching Tiger Analytics jobs look for?

The top searched job categories for Tiger Analytics jobs are:

Tiger Analytics jobs near you
Infographic showing various Tiger Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $75,487 per year, or $36.3 per hour.

Associate Director/Director - Analytics Consulting - Medical Device

Tiger Analytics

Jersey City, NJ • On-site

$180 - $240/hr

Other

Re-posted 17 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you.

Responsibilities

Program Leadership & Delivery: Lead the end-to-end delivery of complex data and analytics programs. Own the roadmap, from problem definition and solution design to production-grade deployment.

Stakeholder Management: Act as the primary point of contact for client VPs and Directors. Translate unstructured business problems into high-level analytics solution designs.

Global Team Management: Lead and mentor a hybrid team of onshore (US) and offshore (Global Delivery Center) data scientists and data engineers. Ensure seamless collaboration across time zones.

Solution Architecture: Work with technical leads to design of scalable AI/ML pipelines and data architectures. Ensure solutions adhere to enterprise standards and leverage modern technology stack.

Domain Expertise: Apply deep Medical device domain knowledge to validate model outputs and ensure they align with industry nuances.

Commercial Impact: Present analytical findings and quantify the business value and drive the operationalization of AI into business processes.

  • 13-15 years of total experience with 7+ years in Medical device domain with consulting.
  • Ability to engage with executive/VP level stakeholders from client's team to translate business problems to high level analytics solution approach
  • Deep knowledge and understanding of the Medical Device industry, including its unique commercial or operational landscape.
  • Strong project management and team management skills and ability to work with global teams.
  • Solid understanding of statistical and machine learning algorithms is a plus.
  • Strong SQL skills and experience with analytic tools like R & Python; & visualization tools like Qlik or Tableau is a plus
  • 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

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.

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