零售媒体数据客户经理
Retail Media Data Account Manager
关于公司:
Pacvue 是电子商务广告、销售和智能领域的领先软件套件。我们帮助世界上一些最大的品牌在亚马逊、沃尔玛、Instacart 和其他市场中增长业务,并与各种规模的卖家和代理商合作,帮助他们在不断变化的在线零售世界中竞争。我们的使命是赋能团队在未来电商中获胜,我们通过构建市场首创技术、与客户一起解决复杂问题,并每天为工作带来专业知识、协作和创新来实现这一目标。
为什么在 Pacvue 工作?
- 处于前沿 - Pacvue 正在改变品牌和卖家在线取胜的方式。我们的产品使用机器学习、人工智能和数据来做智能决策和推荐。
- 享受乐趣 – 我们有一支充满活力和热情的团队,共同致力于赢得胜利并帮助我们的品牌和卖家成功。
- 学习 – 向最好的人学习!我们的团队由才华横溢的人组成,他们希望帮助你学习和成长,为你提供指导、行业最佳实践和思想领导力。
- 快速成长 – 电商行业在过去 2-3 年里发展迅速。Pacvue 的成长速度甚至超过了市场上大多数高科技公司。
职位描述:
我们正在寻找一位有自我驱动力、有在极少指导下交付客户可操作洞察力的出色记录的候选人。理想的候选人将与 Pacvue 客户团队无缝协作,将客户的业务需求与数据解决方案联系起来,并从零开始创建报告和演示文稿。这包括从多个平台查询数据库、设计仪表板供客户或客户团队进行自助数据可视化、直接向客户管理层展示发现和解决方案,以及与产品经理合作将新功能集成到 Pacvue 技术中。
该职位需要候选人深入了解零售媒体数据集,并能利用它们回答业务问题,直接提供媒体洞察和建议。
职责:
- 与客户和客户团队会面,识别业务需求,协助完善业务问题,并设计报告交付物
- 为客户和客户团队提供关于需求、时间安排和交付格式的指导,以满足他们的需求,与利益相关者保持持续沟通,及时更新他们的情况
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About Us:
Pacvue is the leading software suite for eCommerce advertising, sales, and intelligence. We help some of the world’s largest brands grow their business on Amazon, Walmart, Instacart, and other marketplaces and work with sellers and agencies of all sizes to help them compete in the constantly changing world of online retail. Our mission is to empower teams to win in the future of eCommerce, and we do it by building first-to-market technology, solving complex problems with our customers, and bringing expertise, collaboration, and innovation to our work every single day.
Why work at Pacvue?
- Be on the cutting edge - Pacvue is transforming the way brands and sellers win online. Our product uses machine learning, artificial intelligence, and data to make intelligent decisions and recommendations.
- Have fun – we have an energetic and passionate team with a joint mission to win and help our brands and sellers succeed.
- Learn – from the best! Our team is full of talented people who want to help you learn, grow – providing you with mentorship, the industry’s best practices and thought leadership.
- Grow fast – the eCommerce industry has grown fast in the past 2-3 years. Pacvue has grown even faster than most high-tech companies in the market.
About the role:
We are looking for a self-starter with a proven track record of working with minimal direction to deliver actionable insights for clients. The ideal candidate will work seamlessly with Pacvue account teams to relate client’s business needs to data solutions and create from-scratch reporting and presentations. This includes activities such as querying databases from multiple platforms, designing dashboards to handoff to client or account teams for self-service data visualization, presenting findings and solutions to client leadership directly, and working with product managers to incorporate new features into the Pacvue technology.
This position requires a candidate who intimately understands retail media data sets and can use them to answer business questions and to directly provide media insights and recommendations.
Responsibilities:
- Meet with clients and account teams to identify business needs, facilitate refinement of business questions, and design reporting deliverables
- Provide direction to clients and account teams on requirements, timing and a deliverable format that will meet their needs, staying in constant communication with stakeholders to keep them updated on progress
- Make use of Pacvue reporting and analysis tools to their fullest extent in addressing business needs, and use good judgement in determining when custom analysis will be required
- Perform custom analysis primarily in Microsoft Excel and Google Sheets, making use of pivot tables, graphs, advanced formulas, or any other techniques for data visualization or automation
- Set up custom reports to run automatically or with minimal touch from account owners to aid in future independent business reviews
- Lead exploration of emerging retail media databases and capabilities, with particular focus on Amazon Marketing Cloud, but also including Amazon ad console, vendor & seller central, Target and Walmart advertising & commerce, as well as Instacart, Criteo, etc.
- Translate analysis into campaign and business recommendations, sharing initial findings of analysis with account teams informally, and assist in presenting final recommendations to client over email and in meetings
- Assist in documentation of methodology for new analysis to help scale across the organization
- Create proposals for product and development teams on where new features should be built based on custom analysis use cases
Skills & Qualifications:
- 2+ years experience working in eCommerce account management, sales, and/or digital marketing
- 2+ years experience working in a data and analytics-focused role
- Previous account management, product management, project management, financial analysis, and/or marketing experience is a plus
- Demonstrate an understanding of how retail media, sales, and operations work together
- Demonstrate an in-depth understanding of available Amazon data sets, and at least a surface level understanding for additional retail media platforms such as Walmart, Target, or Instacart
- Proven track record of relationship building and working across multiple teams internally
- Proven success in driving results and implementing ideas in a fast-paced environment
- Works efficiently and is always looking to streamline processes and workflows
- Excellent organizational, communication, and presentation skills
- Strong analytical skills, and the ability to take large data sets and extract actionable recommendations, are a must
- Advanced Excel skills are a must
- Working knowledge of at least one supplemental program such as Tableau or Python is a plus
- Experience with SQL is strongly preferred, specifically in relation to AMC
Benefits:
- Unlimited Paid Time Off
- Paid Holidays and Floating Holidays
- Medical, Dental, Vision, FSA/HSA, Life Insurance and Pet Insurance
- 401k with Employer Match
- Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization
- Paid Parental Leave
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Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.