Forrester Research is seeking a Senior Analyst to research and write for their data, AI, and analytics body of work, serving data and AI leaders to achieve high performance and guiding vendors in defining the future of the market.
Requirements
- Five or more years of experience in a data management, data engineering, data architecture, or data science role working hands-on with developing data platforms, data pipelines, data products, and/or AI and analytical outputs.
- Demonstrated expertise in at least one of the following markets: data catalogs, data pipelines, data platforms, data governance solutions, and analytics and AI/ML solutions. Knowledge of vendors, key features and capabilities, and use cases.
- Strong knowledge of the issues and challenges that data and AI executives and leaders face, and 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, provocative concepts; a willingness to take a stand on outcomes with clients, vendors, press, and competition.
Responsibilities
- Designing processes to manage the full data lifecycle including, data ingestion and pipelines, processing and transformation, integration, risk management, data products including semantics and data models, dataOps and storage and retention — to deliver AI solutions and applications
- Understanding the role of different data types underlying AI solutions, including unstructured text, document, image, and video data, streaming data, geospatial data, and graph data
- Conduct primary research on: 1) The full lifecycle of data in the enterprise, particularly as it relates to the development of AI solutions and applications; 2) data engineering and the process of transforming raw data for analytical and operational use cases; 3) modern data management practices and solutions, including evaluation of vendors offering commercial solutions for enterprise; 4) DataOps, including best practices and trends for handling massive amounts of enterprise data in production; and 5) deep understanding of data requirements for training and grounding predictive and generative AI applications.
- 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.
- Drive and lead key Forrester Wave™ and Landscape reports.
- Consult with clients to apply Forrester’s research in the context of their specific business environment and help solve their problems through inquiry, guidance, and advisory and consulting engagements.
- Present at Forrester-sponsored and industry-related events, as well as deliver client webinars.
Other
- Fostering a culture of collaboration across our research, sales, product, and customer success teams.
- The Senior Analyst has a strong understanding of practitioner-level data leaders and helps them understand the implications of data and technology to build a solid data foundation for the AI enterprise.
- The Senior Analyst will work as part of a high-performing team with a strong emphasis on collaborating with others in all aspects of the job.
- Work alongside sales and marketing teams to promote visibility for this research.
- 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.
- Fosters a style that drives a culture of cross-team collaboration, mentorship, integrity, and relentless and positive pursuits.
- A BA/BS degree.
- A demonstrated ability to serve as an advisor to senior leaders and C-level clients.
- Superior client-facing communication, listening, critical thinking, and collaboration skills with researchers, subject-matter experts, and client leaders.
- The ability to travel 30% of the time.
