Senior Analyst, Data, Analytics and Machine Learning

Jobtailor; Massachusetts; On-site; USD 140,000 - 200,000; Full time

Job summary

Forrester is seeking a senior research professional to lead data science, ML, and data management initiatives. You will conduct primary research, develop actionable insights, and produce a range of intellectual property including reports, tools, webinars, and blogs for senior client stakeholders.

You will help clients activate and scale analytics initiatives, align internal stakeholders on priorities, and present findings at events and webinars. Travel up to 30% is required.

Qualifications

• BA/BS in a related field required; MBA/MS preferred.
• 5+ years hands‑on experience in data science, ML, data engineering, or data management in a large enterprise or tech vendor.
• Understanding of data science/ML market, vendor capabilities, use cases, architectures, and adoption barriers.
• Ability to advise senior management and C‑level clients.
• Strong client-facing communication, listening, critical thinking, and collaboration with researchers and client leaders.

Responsibilities

• Conduct and deliver primary research to build a modern data foundation for analytics, data science, ML, and AI products.
• Help clients activate, measure, and scale analytics, data science, ML, and AI for business outcomes.
• Drive alignment on data and analytics priorities to support business impact.
• Create 8–12 high‑quality research projects per year across reports, tools, webinars, videos, blogs, and other IP.
• Work with sales and marketing to promote visibility for this research.
• Lead Forrester Wave and Landscape reports on data, analytics, and AI technologies.
• Consult clients to apply Forrester’s research to their business context and solve problems through engagements.

Skills

Data science expertise

Machine learning

Data engineering

Stakeholder advisory

C-level communication

Travel availability

Education

BA/BS in related field

MBA or MS preferred

Job description

Responsibilities

• Conduct and deliver primary research: Ensure that a modern data foundation that includes data quality, governance and context‑ready data amplifies development of analytics, data science, ML, and AI internal products.
• Help clients activate, measure, and scale the use of analytics, data science, ML, and AI for business‑focused outcomes and use cases.
• Drive alignment among internal stakeholders on data and analytical priorities that support business impact.
• Create approximately eight to twelve high‑quality, actionable, analytically deep, and fact‑based research projects per year, which include a mixture of written reports, tools, webinars, videos, blogs, podcasts, infographics, and other intellectual property.
• Work alongside sales and marketing teams to promote visibility for this research.
• Drive and lead key Forrester Wave and Landscape reports, which are deep, objective evaluations of the most important vendors of data, analytics, and AI technologies.
• Consult clients to apply Forrester’s research in the context of their specific business environment and help solve their problems through short‑term and longer‑term consultative engagements.
• Present at Forrester‑sponsored and industry‑related events, as well as deliver client webinars.
• Establish an industry presence as an influential speaker and thinker, build relationships with journalists who cover the sector, and participate in press inquiries as necessary.
• Support business development and prospect conversations as arranged by Forrester’s account leadership teams.
• Foster a style that drives a culture of cross‑team collaboration, mentorship, integrity, and relentless and positive pursuits.

Requirements

• A strong academic record: BA or BS degree as a minimum; MBA or MS in a related field is preferred.
• At least five years’ hands‑on experience in data science, machine learning models, data engineering, data management, and/or related disciplines in a $1 billion enterprise or with a technology vendor.
• Understanding of the market for data science/ML and data management technology, including vendor capabilities, top use cases, common architectural patterns, and barriers to implementation and adoption.
• A demonstrated ability to serve as an advisor to senior management and C‑level clients.
• Superior client‑facing communication, listening, critical thinking, and collaboration skills with researchers, subject matter experts, and client leaders.
• Strong knowledge of the issues and challenges that AI and technology executives face; expertise in the broad implications of current and emerging technology markets, economics, labor, and econometrics.
• The ability to take complex, disparate ideas and distill them into simple, bold concepts; a willingness to take a stand on outcomes with clients, vendors, press, and competition.
• The ability to travel 30% of the time.

Core Competencies

Demonstrates expertise in data science, machine learning, and data management, with a strong ability to communicate complex ideas effectively to senior management and clients. Proven track record in conducting high‑quality research and delivering actionable insights that drive business outcomes.