Data Operations Specialist
广告公司是情感和注意力人工智能领域的先驱。使用最新的计算机视觉和机器学习技术，我们测量人们在线观看视频内容时感觉如何。我们帮助品牌，出版商和机构快速有效地移动，以最大限度地提高他们的广告关注率 ROI.作为 Tech-Ops 团队成员，你将从设置到交付管理项目，并与数据，内部工具和跨功能团队合作满足客户需求。这一角色包括提供产品开发，技术知识，监督运营数据，管理媒体测量项目的信息，协调第三方如供应商和客户，并为团队的 OKRs 做出贡献。技术职责 · 主管主动和独立的技术工作流程，包括在 Adverteyes 和第三方平台上定制研究项目，确保及时准确交付。·领导 Adverteyes 平台上的复杂项目的范围分析，处理和交付，具有整个生命周期的所有权，与产品，工程师，数据科学和销售进行跨功能合作。· 通过 Excel （包括宏）来准备客户和内部团队的数据集，包括处理大量资产下载，通过 API 上传以及产生有意义的见解/报告。· 有效地识别和解决数据质量问题。· 作为客户的首支支持线，解决与项目相关或技术相关的问题，并内部发挥作用，作为一个工具的跨功能配合，以设定和满足客户期望。·定期使用 Excel 和/或 SQL 为工作流程优化。·能够处理敏感，细节导向 GDPR 符合要求。· 通过提供关键学习文件，参与培训和安装工作以及高质量与完整执行，促进团队的总体健康和标准。· 与其他团队成员合作，为不断学习和成长文化做出贡献。
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Adverteyes is a pioneer in emotion and attention AI. Using the latest computer vision and machine-learning technologies, we measure how people feel while watching video content online. We help brands, publishers, and agencies to move fast and efficiently, to maximize their ROI on ad attentiveness.
As a Tech-Ops team member, you will manage projects from setup to delivery, and work with data, internal tools, and cross-functional teams to meet customer needs. This role involves providing input on product development, technical know-how, overseeing operational data, managing media measurement projects, coordinating with third parties like vendors and client, and contributing to the team’s OKRs.
This is an excellent opportunity for an ambitious, detail-oriented, and tech-savvy professional eager to grow in the intersection of tech, media measurement, and market research. The role is fully remote.
Technical Duties
- Manage technical workstreams proactively and independently, including custom research projects on Adverteyes and third-party platforms, ensuring timely and accurate delivery.
- Lead the scoping, processing, analysis, and delivery of complex projects on the Adverteyes platform, with the ability to own the project through the lifecycle, partnering cross-functionally with Product, Engineers, Data Science, and Sales.
- Work with large datasets in Excel (including macros) to prep deliverables for clients and internal teams, including handling bulk asset downloads, uploads via API, and generating meaningful insights/reports.
- Identify and resolve data quality issues efficiently.
- Act as the first line of support for clients, addressing project-related or technical issues, and internally acting as an instrumental piece of cross-functional alignment to set and meet client expectations.
- Utilize Excel and/or SQL for workflow optimization on a regular basis.
- Able to handle sensitive, detail-oriented GDPR compliance-related requests
- Take ownership of third-party scoping, templating, automation, and tool development to increase efficiency of the Operational team
Team Culture
- Contribute to process improvements and the team’s continuous improvement culture.
- Contribute towards the team overall wellbeing and standards with key-learnings documentation, participation in training and onboarding, and executing with high quality and integrity
- Contribute to a culture of continuous learning and growth by working well with other team members and cross functional collaborators, both fostering team learning and coordination - and encouraging teammate ownership/independence.
- Exercise good judgement and big-picture thinking to provide/drive role-level decision making, collaboration, and accountability.
Skills/Qualifications
- Bachelor's degree in a Technical, Business, or Management, related field - or an equivalent professional/technical experience
- Highly detail-oriented with a strong sense of ownership and accountability for the quality and timely delivery of work.
- Strong problem-solving skills and analytical skills, with the ability to investigate issues, identify root causes, and take appropriate action independently.
- Proactive, organized, adaptable, and comfortable managing multiple projects or priorities in a client-focused environment.
- Strong Microsoft Office skills – particularly Excel – including formulas, pivot tables, data manipulation, and ideally macros.
- Basic knowledge of SQL.
- Comfortable working with sensitive data and handling GDPR-related requests with a high level of accuracy and discretion.
- Strong communication skills and the ability to collaborate effectively with Engineering, Data Science, Sales, clients, and external partners.
Nice to Have
- Experience in operations, data operations, market research, or project coordination, or a related field. We are open to both junior and more experience candidates, depending on their technical and operational background.
- Familiarity with basic statistical concepts and analysis, such as correlation analysis, is a plus.
- Comfortable working with technical and operational tools and platforms. Experience with AWS, JIRA, Claude, Zendesk, or similar tools is an advantage.
- Basic knowledge of Python, R, or Power BI is an advantage, depending on the clients background.
What We Provide
- A pivotal role at a newly formed company on the right side of the AI creative wave
- Collaboration with a world-class data science and engineering team building genuinely novel measurement technology
- Competitive compensation with unlimited holidays and 100% paid sick leave
- Fully remote work environment
- Direct mentorship and growth path as you build toward greater client ownership
- Flexibility and autonomy
- Full onboarding on our platform, methodology, and the landscape we operate in
Originally posted on Himalayas