Lead Research Analyst, Data and Analytics

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Lead Research Analyst, Data and Analytics based in the United States.

The Lead Research Analyst, Data and Analytics will lead research and market-facing initiatives across the evolving data and analytics technology landscape. This role focuses on AI and data platforms, data management, data governance, DataOps, streaming technologies, and analytics. You will shape the research agenda, develop evidence-based insights, and provide authoritative guidance to enterprise decision-makers navigating complex technology markets. Working closely with analyst peers and cross-functional teams, you will contribute to research products, client engagements, and strategic advisory activities. The position combines deep technical and market expertise with thought leadership, relationship building, and commercial impact. This is an opportunity to influence enterprise technology decisions while working in a collaborative, globally connected, remote environment.

Accountabilities

• Define and execute the research agenda for data and analytics markets, technology providers, and enterprise buyer priorities.

• Produce high-quality research, including primary research, analyst perspectives, market analysis, benchmarking, dynamic insights, and value index content.

• Develop thought leadership across AI and data platforms, data management, governance, DataOps, streaming and event technologies, and analytics.

• Advise enterprise clients on market trends and help them evaluate vendors, platforms, and services aligned with their business and technical requirements.

• Build and maintain trusted relationships with software providers, engaging stakeholders across product, marketing, and sales organizations.

• Collaborate with analyst colleagues and teams across product, marketing, revenue, account management, and client success to maximize the value of research offerings.

• Support client inquiries, briefings, speaking engagements, and advisory activities while contributing to client retention and revenue growth.

• Oversee research and client-delivery workflows, ensuring deliverables meet quality standards, deadlines, and client expectations.

• Participate in analyst leadership and team meetings to support innovation, operational improvement, and client satisfaction.

Requirements:

• Experience as an industry analyst, data and analytics technology practitioner, consultant, or product marketing or product management leader at a recognized technology provider.

• Deep, current understanding of data and analytics markets, technology architectures, operating models, and enterprise buyer requirements.

• Demonstrated ability to develop and communicate an independent, well-supported point of view on technology markets and industry developments.

• Experience advising executive stakeholders on data and analytics strategy, architecture, governance, planning, and vendor or platform evaluation.

• Excellent written communication, presentation, and interpersonal skills, with the ability to engage effectively with clients, technology providers, and industry leaders.

• Strong analytical thinking and the ability to translate complex technical and market information into clear, actionable recommendations.

• Proven ability to manage multiple priorities, work independently in a remote environment, and consistently deliver high-quality results on schedule.

• A bachelor’s degree in communications, marketing, computer science, or a related discipline. Advanced education is welcome.

• Ability to collaborate across multidisciplinary technology practices, including enterprise AI, finance, human capital management, IT, customer experience, and revenue technologies.

Benefits:

• Remote work: The position is designated as remote, offering the opportunity to work from the United States.

• Professional influence: Opportunity to shape research priorities and provide strategic guidance on emerging data and analytics technologies.

• Cross-functional collaboration: Work alongside experienced analysts and professionals across complementary technology and business practices.

• Client engagement: Opportunities to advise enterprise decision-makers, participate in industry briefings, and contribute to thought leadership.

• Professional development: Exposure to evolving technology markets, enterprise architectures, and emerging trends across AI, data, and analytics.

• Inclusive workplace: Commitment to a diverse and inclusive environment that values different backgrounds, perspectives, and skills.

• Compensation and additional benefits: Salary range, healthcare coverage, retirement plans, paid time off, and other specific benefits were not disclosed in the provided job description.