Senior Analyst, Data, Analytics and Machine Learning

Forrester

Senior Analyst focusing on data foundations that support analytics and machine learning at Forrester. Aiding enterprise leaders to optimize data value and drive business impact.

Posted 7/18/2026full-timeCambridge • Massachusetts, New York • 🇺🇸 United StatesSenior💰 $119,000 - $193,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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.

Highest-signal resume keywords

Data ScienceMachine LearningData ManagementClient-Facing CommunicationResearch Project Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalyticsAI TechnologiesStatistical AnalysisData Governance

Soft Skills

Critical ThinkingCollaborationMentorshipListeningPresentation Skills

Tools & Technologies

Forrester Wave™Data Analytics ToolsWebinar PlatformsContent Creation Tools

Industry Keywords

Data QualityBusiness DevelopmentMarket AnalysisTechnology VendorC-Level Advisory

About the role

Key responsibilities & impact

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 12 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

What you’ll need

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.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities