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Robinrobi Seo
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Top Contributor
Jun 20, 2022
In General Discussions
In recent years, he has been in charge of the data product team. He has undergone changes in team members, screened hundreds of resumes, and conducted nearly 100 social and school recruitment interviews. The job-hunting/recruitment season of Golden Three Silver Four is coming to an end. I would like to summarize the process of recruiting data product managers and share them with job seekers who are looking category email list for data product managers. 1. Competency requirements for data product managers Most enterprise data product managers have multiple roles as product manager, project manager, designer, and QA. The product manager's ability category email list requirements will be more comprehensive than other products. In addition to data skills and product experience, in demand analysis, competitive product analysis , product planning, product design, copywriting skills, project management capabilities are also an important dimension to open up the ability level. Demand analysis. The users of data products are mainly within the enterprise, and the users come from different departments such as product, operation, data development, etc., and the category email list types of demands are also varied. The product manager should fully understand the background of the business work, the current process, and the main demands, and then make a comprehensive judgment. The realization method of category email list requirements, many products will not analyze and mine requirements, and the final paper requires product managers (undertaking and forwarding requirements) Competitive product analysis : Data products are not like C-end products. You can see new functions by searching each application market. Internal data products of enterprises are generally limited to internal users, and the data that can be obtained from the external network is limited. At present, the main competing products are Data products derived from commercial versions, such as user behavior analysis systems: Shence, GrowingIO; application statistics category email list products: Baidu Statistics, Youmeng, talkingData; BI visualization: QuickBI, FanRuan BI, Tableau, NetEase Youshu, etc.; development kits : Ali dataworks, Netease Mammoth, etc. Product planning : The data center product is category email list a complete set of big data solutions. There is a strong coupling relationship between the data flow between the various systems. In product planning, in addition to the realization of its own functions, it is well linked with external systems. Product design : The user empathy of data products determines the friendliness of product interaction design.
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Robinrobi Seo

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