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数据记者,人工智能与自动化

雇主

ConsumerAffairs

地点

远程 · Remote · 美国

待遇

$面议

工作模式

远程

截止日期

1月5日

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岗位摘要

As a Data Journalist specializing in AI and automation, you’ll work at the intersection of data, technology, research, and storytelling to help produce original, data-driven content for ConsumerAffairs.

岗位职责

As a Data Journalist specializing in AI and automation, you’ll work at the intersection of data, technology, research, and storytelling to help produce original, data-driven content for ConsumerAffairs. You’ll turn complex datasets into clear, compelling stories that are useful to consumers, earn media attention, and strengthen ConsumerAffairs’ authority.
This role is highly analytical and increasingly technical. In addition to developing story ideas and interpreting data, you’ll help us build smarter ways to research, analyze, QA, and produce data-driven content. That includes experimenting with AI tools and building and improving workflows to make repetitive work faster and more scalable.
You don’t need to be a software engineer, but you should be comfortable working with data beyond a basic spreadsheet. We’re looking for someone who understands quantitative analysis, can learn technical tools quickly, and is interested in using AI, automation, and code to solve editorial problems.
You might come from journalism, data journalism, statistics, economics, research, computer science, communications, or another related field. What matters most is your ability to work confidently with data, analyze it critically, identify the story behind the numbers, and continuously look for better ways to do the work.
Responsibilities Include:
Data Storytelling & Research
Help develop original, data-driven story ideas that are timely, relevant, and useful to consumers.
Research credible data sources and evaluate whether potential story ideas can be supported by reliable data.
Help develop clear, defensible methodologies for analyzing data and measuring the topics we cover.
Interpret datasets to identify meaningful trends, comparisons, outliers, and other findings that can shape the story.
Think critically about what the data does — and does not — support, including limitations that should be considered when presenting findings.
Identify opportunities to bring findings to life through charts, maps, tables, rankings, and other data visualizations.
Editorial Production & Project Management
Turn research and data findings into clear editorial direction, including story angles, outlines, key findings, and guidance for freelance writers.
Coordinate with data analysts and freelance writers throughout the production process, communicating expectations, answering questions, and keeping projects on track.
Review and QA analysts’ work for accuracy, including source data, calculations, formulas, methodologies, and final results.
Review writer drafts to ensure they follow the intended story structure and research direction and highlight the most important findings.
Manage multiple projects at different stages of production while meeting deadlines and keeping stakeholders informed.
Collaborate with editors, designers, Digital PR teammates, and other stakeholders to move projects from initial concept through publication.
AI & Automation
Identify opportunities to use AI and automation to make research, data analysis, QA, and production workflows faster and more scalable.
Build, test, and improve AI-assisted or automated workflows for repetitive production tasks while maintaining human review and editorial standards.
Experiment with new tools and approaches that can improve the efficiency, accuracy, and consistency of data-driven projects.
Document successful workflows and help integrate them into the team’s production process.
Evaluate AI-generated outputs critically and independently validate data, calculations, sources, and findings before they are used in published work.
Creative & Strategic Thinking
Stay curious about consumer trends, news, emerging datasets, and new approaches to data storytelling.
Consider how research findings can be framed and presented to resonate with both consumers and journalists.
Contribute ideas for improving our research, production processes, storytelling, and visual presentation.
Use performance results and team feedback to understand what makes data-driven content successful and apply those lessons to future projects.
Requirements
Minimum Qualifications & Credentials
Bachelor’s degree in journalism, communications, data analytics, statistics, computer science, or a related field, or equivalent relevant experience.
1-3 years of experience in journalism, content, research, data storytelling, data visualization, digital PR, or a related area. Internships, academic projects, freelance work, and relevant coursework are welcome.
Strong quantitative and statistical reasoning, including the ability to work confidently with percentages, rates, averages, distributions, rankings, changes over time, and other common forms of analysis.
Strong writing and communication skills, with the ability to explain data and complex ideas clearly and accurately.
Interest in researching and evaluating credible data sources, including government and other publicly available datasets; prior experience is a plus.
Detail-oriented and committed to accuracy, with the ability to question results that seem unusual or inconsistent.
Strong organizational skills and the ability to manage multiple projects, priorities, and deadlines.
Technical Skills
Strong proficiency in Excel or Google Sheets, including formulas, filtering, sorting, lookups, conditional logic, pivot tables, and working with larger datasets.
Working knowledge of basic statistical analysis and an understanding of how to choose appropriate ways to analyze and compare data.
Ability to inspect, clean, transform, and validate datasets from multiple sources.
Comfortable using APIs.
Strong interest in building AI-assisted and automated workflows. Experience with tools such as ChatGPT, Claude, Gemini, Zapier, n8n, or similar platforms is a plus.
Ability to use AI tools thoughtfully for research, coding, analysis, ideation, and production while independently validating outputs and maintaining editorial standards.
Interest in data visualization; experience with Datawrapper, Flourish, Tableau, Infogram, or similar platforms is a plus.
Familiarity with AP Style and digital publishing is a plus.
Benefits
Why You’ll Love Working Here
At ConsumerAffairs, your voice matters. We foster a collaborative environment where you’re encouraged to take initiative, experiment boldly, and grow professionally. We're committed to work-life harmony, career development, and celebrating wins together.
Health Care Plan(Medical, Dental & Vision)
Retirement Plan (401k)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off(Vacation, Sick & Public Holidays)
Family Leave (Maternity, Paternity)
Short Term & Long Term Disability
Training & Development
Originally posted on Himalayas

申请条件

- 具备数据、技术、研究与叙事交叉领域的工作能力
- 能够将复杂数据集转化为清晰、有吸引力的故事
- 高度分析化,并具备日益增强的技术能力
- 能够提出故事创意并解读数据
- 能够帮助构建更智能的研究、分析、质量保证和内容生产方式
- 愿意尝试AI工具,并构建和改进工作流程
- 不要求是软件工程师,但需能处理超出基础电子表格的数据
- 理解定量分析
- 能快速学习技术工具
- 对使用AI、自动化和代码解决编辑问题感兴趣
- 可能来自新闻、数据新闻、统计、经济、研究、计算机科学、传播或其他相关领域
- 能够自信地处理数据
- 能够批判性地分析数据
- 能够识别数字背后的故事
- 持续寻找更好的工作方式
- 帮助开发原创、数据驱动、及时、相关且对消费者有用的故事创意
- 研究可信数据来源,并评估故事创意是否有可靠数据支持
- 帮助制定清晰、可辩护的数据分析方法论
- 解读数据集,识别有意义的趋势、比较、异常值及其他发现
- 批判性思考数据支持什么、不支持什么,包括局限性
- 识别将发现生动呈现的机会

雇主简介

ConsumerAffairs is a consumer-focused digital platform that provides reviews, news, and information on a wide range of products and services to help consumers make informed decisions.

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数据来源:Himalayas

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