Senior Level Analytics Consultant Jobs
Senior level analytics consultant jobs put experienced professionals in charge of analytical strategy, end-to-end project ownership, and the cross-functional teams that translate data into decisions. Openings concentrate in Technology & Software and Consulting & Professional Services, with a mix of remote, hybrid, and on-site roles available and employers like Tiger Analytics, ZS, and EPAM Systems hiring at this level now.
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INTRODUCTION
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 a business-first, analytically strong consultant who can work directly with business leaders to understand complex decisions, challenge conventional thinking, and rapidly translate business needs into data- and AI-enabled solutions. This is not a traditional requirements-gathering role. The consultant will be expected to understand how the business operates, identify the decisions that matter, determine what information and analysis are needed, and rapidly mobilize AI/Agentic tools, data and specialist teams to solve the problem. The ideal candidate has operated in an environment where they have regularly used data and analysis to support business decisions and is excited about learning and applying emerging AI technologies.
Responsibilities
- Understand the business and the decision: Engage business stakeholders to understand objectives, economics, processes, constraints and the decisions they are trying to make—not simply document stated requirements.
- Challenge and structure problems: Ask the right questions, challenge assumptions and convert ambiguous business issues into clear hypotheses, analyses and decision frameworks.
- Use data to develop insights: Explore and interpret data, conduct rapid analyses, identify patterns and translate findings into business implications and recommendations.
- Rapidly prototype solutions: Use GenAI, Agentic AI, analytics and low-code/no-code tools to rapidly explore ideas, analyze information and develop working prototypes.
- Orchestrate expertise: Recognize when deeper expertise is required and effectively leverage data scientists, engineers, domain experts, product teams and AI agents rather than attempting to build everything independently.
- Drive from insight to action: Communicate findings in simple business language, recommend actions and work with stakeholders to translate recommendations into measurable business outcomes.
- Continuously learn: Rapidly experiment with emerging AI and technology capabilities and identify where they can materially improve business decision-making.
BASIC QUALIFICATIONS
8-10+ years of experience in business analytics, strategy/management consulting, commercial analytics, operations, supply chain, finance, marketing/customer analytics, product management or a similar decision-oriented business environment. The person should demonstrate:
- Strong business curiosity and problem-solving ability
- Experience working directly with business stakeholders and senior leaders
- Strong analytical orientation and comfort working hands-on with data
- Ability to move from business question → hypothesis → analysis → insight → decision/action
- Ability to challenge stakeholders constructively rather than simply accepting requirements
- Comfort operating with ambiguity and solving loosely defined problems
- Strong written, verbal and executive communication skills
- Working familiarity with analytical tools such as Excel, SQL, BI/visualization tools and/or Python
- Strong interest and hands-on aptitude with GenAI, AI agents and emerging productivity/development tools
- Ability to learn new technologies quickly without needing to be a deep software engineer
- Ability to bring together business, analytics, technology and specialist teams to deliver solutions rapidly
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.
INTRODUCTION
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 a business-first, analytically strong consultant who can work directly with business leaders to understand complex decisions, challenge conventional thinking, and rapidly translate business needs into data- and AI-enabled solutions. This is not a traditional requirements-gathering role. The consultant will be expected to understand how the business operates, identify the decisions that matter, determine what information and analysis are needed, and rapidly mobilize AI/Agentic tools, data and specialist teams to solve the problem. The ideal candidate has operated in an environment where they have regularly used data and analysis to support business decisions and is excited about learning and applying emerging AI technologies.
Responsibilities
- Understand the business and the decision: Engage business stakeholders to understand objectives, economics, processes, constraints and the decisions they are trying to make—not simply document stated requirements.
- Challenge and structure problems: Ask the right questions, challenge assumptions and convert ambiguous business issues into clear hypotheses, analyses and decision frameworks.
- Use data to develop insights: Explore and interpret data, conduct rapid analyses, identify patterns and translate findings into business implications and recommendations.
- Rapidly prototype solutions: Use GenAI, Agentic AI, analytics and low-code/no-code tools to rapidly explore ideas, analyze information and develop working prototypes.
- Orchestrate expertise: Recognize when deeper expertise is required and effectively leverage data scientists, engineers, domain experts, product teams and AI agents rather than attempting to build everything independently.
- Drive from insight to action: Communicate findings in simple business language, recommend actions and work with stakeholders to translate recommendations into measurable business outcomes.
- Continuously learn: Rapidly experiment with emerging AI and technology capabilities and identify where they can materially improve business decision-making.
BASIC QUALIFICATIONS
8-10+ years of experience in business analytics, strategy/management consulting, commercial analytics, operations, supply chain, finance, marketing/customer analytics, product management or a similar decision-oriented business environment. The person should demonstrate:
- Strong business curiosity and problem-solving ability
- Experience working directly with business stakeholders and senior leaders
- Strong analytical orientation and comfort working hands-on with data
- Ability to move from business question → hypothesis → analysis → insight → decision/action
- Ability to challenge stakeholders constructively rather than simply accepting requirements
- Comfort operating with ambiguity and solving loosely defined problems
- Strong written, verbal and executive communication skills
- Working familiarity with analytical tools such as Excel, SQL, BI/visualization tools and/or Python
- Strong interest and hands-on aptitude with GenAI, AI agents and emerging productivity/development tools
- Ability to learn new technologies quickly without needing to be a deep software engineer
- Ability to bring together business, analytics, technology and specialist teams to deliver solutions rapidly
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.
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Senior Level Analytics Consultant Jobs: Frequently Asked Questions
How do I get a senior level analytics consultant job?
Employers hiring at the senior level look for candidates who have owned analytical workstreams from scoping through delivery, not just contributed to them. Demonstrating that you have shaped methodology, influenced stakeholder decisions, and mentored junior analysts gives you a clear edge. A portfolio of complex, high-visibility engagements and fluency in both technical tools and business communication are what separate senior candidates from mid-level ones.
Which companies hire senior level analytics consultants?
Companies hiring senior level analytics consultants right now include Tiger Analytics, ZS, and EPAM Systems, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large consulting firms, technology companies, financial institutions, and healthcare organizations that need experienced professionals to lead data-driven initiatives rather than execute under close direction.
Are there remote senior level analytics consultant jobs?
Yes, and remote availability is meaningful at this level. About 60% of senior level analytics consultant openings are remote or hybrid as of September 2026, reflecting how many organizations structure senior consulting engagements around deliverables rather than physical presence. On-site roles also exist, often tied to client-facing work or industries with strict data governance requirements.
What makes an analytics consultant role senior level?
Senior level roles are defined by ownership and scope. You are expected to design analytical frameworks, not just apply them, and to drive the strategic framing of a problem before any model is built. Mentoring junior team members, managing client or stakeholder relationships independently, and delivering recommendations that influence business direction are standard expectations. Technical depth matters, but judgment and leadership are what distinguish senior from mid-level.
Which industries hire the most senior level analytics consultants?
Senior level analytics consultant roles concentrate in Technology & Software and Consulting & Professional Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they face complex, high-stakes analytical problems that require experienced professionals who can operate with autonomy, align data strategy to business goals, and lead engagements from discovery through implementation.