カスタマーサクセス Data Management Solution
MLC GROUP IT ·www.mlc.shazamme.com
Apply directChanging the business data! The position of the customer success team at the company that provides the data platform. It founded the Japanese in Silicon Valley in 2011. We provide cloud-based data management solutions. This department is an organization launched in January 2019. We are looking for members as our needs grow. "To take advantage of the data you want to further expand the customer of management." "I want to involvement products to business strategy and the launch of the business, which was a tool." We are looking for people with such motivation! We further ・ Those who want to be strong in marketing using data, Marketing those who aim to understand the data Scientific testing Is an environment that can grow to take on. Team members is 10 people in the center of the 30 generation late 20s. Manager has been involved from the start-up of this department, After graduating from the universe physical system of undergraduate, Ya ad operations at the agency 30 Young Men who have experienced such as the introduction and operation of a variety of cloud-based solutions. Other members also have diverse backgrounds. Example) Second year after joining a man in his late 30s Of marketing automation vendor in the previous positions Engaged in operation support work from tool introduction as customer success. Joined think he is to engage in the construction of the CDP platform to support the DX promotion of many companies. Joined 2 years early 30s man After experiencing Web / App development at a production company He is engaged in digital marketing in general in the software company. Joined think he is to engage in a variety of data infrastructure construction. Women in their late 20s in the first year of joining the company After joining the digital system of consulting companies in the new graduates, She is as UX design consultant, in charge of UX / UI improvement of user research · Web site. Joined think she want to improve the skills of the more technical area. 【Job Description】 As a data architect, data analyst, and data scientist She will promote the marketing utilizing the data. We will be facing the companies that are having these problems. ・ I want to centralize scattered data, visualize customers, and increase store sales. - from the user's behavior data you were utilized for marketing to develop a loyalty index Since only data is collected, you want to separate from prevention to take advantage Create a project team to the customer, to marketing-engineering We provide full funnel support. Example) Consulting in charge (per person) ┗ charge of the project management mainly in customer facing Strategy / Analytics charge (per person) ┗Responsible for overall marketing strategy design and policy planning Data management in charge (2 persons) ┗ Responsible for organizing and implementing architects for data utilization Define how to collect the data held by the client, Study and implementation acquisition scheme of each data, and perform data integration design towards measures utilization, We will build an environment that is easy to handle as a CDP. 1-2 months from project kick-off consulting responsible and strategy in charge of While leading, define the overall requirements, and then the data management staff leads We will proceed with the implementation of CDP. When the data begins to be linked to CDP, in collaboration with the Strategy / Analytics department, We will analyze and create segments to utilize the measures.
Requirements
Required skills
And business or self-taught, there is SQL and Python experience
・ Has work experience as a data architect
Welcome skills
There is an introduction experience of · Bigdata Platform (AWS / GCP, etc.) A Treasure data of the introduction experience
・ Experience in building BI (Tableau / Domo, etc.) And machine learning or statistics of knowledge
・ Experienced as a project manager for system construction
必須スキル
・業務または独学で、SQLやPythonの経験がある
・データアーキテクトとしての業務経験がある
歓迎スキル
・Bigdata Platform(AWS/GCPなど)の導入経験がある
・トレジャーデータの導入経験がある
・BI(Tableau/Domoなど)の構築経験がある
・機械学習または統計の知識がある
・システム構築のプロマネ経験あり