[上海]自协软件科技（上海）有限公司

职位：数据分析工程师
发布时间：2010-07-29
工作地点：上海
信息来源：上海交通大学就业网
职位类型：全职
职位描述
自协软件科技（上海）有限公司系美资公司，公司拥有丰富经验高素质人才队伍，向合作伙伴提供低成本的 GOU ( Global Operating Units, 全球工作组)工作模式，帮助合作伙伴扩大市场实现其商业目标。公司的管理团队在王一义、冯星君先生的引领之下，突出企业管理以人为本，强调尊重人格，重视沟通和理解，使公司稳步发展，已建立起和谐、团结、共同进取的愉快氛围和环境，同时给予员工的福利和保障是相当齐全的，不但具有竞争力的薪酬和去美国培训的机会，还给予员工充分的发展空间，所营造的工作氛围也是为数不多的公司之一。具体福利：

1）季度绩效奖金。

2）五险二金外加100%报销的商业医疗保险。

3）每年法定带薪年假5天及公司带薪假。

4）每年带薪病假累计15天。

5）其他假期按照国家规定。

6）每年一次体检。

7）人性化的办公环境与管理理念。

8）团队每月组织一次活动，公司每年组织一次旅游。

.....

欢迎加盟，共创业绩，在自协公司实现您的职业发展梦想！

自协软件科技（上海）有限公司 招 数据分析工程师

公司行业： 计算机软件

公司性质： 外资(欧美)

公司规模： 50-150人

工作地点： 上海-浦东新区

招聘人数： 若干

工作年限： 应届毕业生

语言要求： 英语 熟练

学 历： 硕士

Job description

The Data Analyst is responsible for researching, resolving and recording

all levels of science-related questions from DemandTec Support Engineers

quickly and consistently. This involves working closely with other members

of the Support and Science teams to identify the best solution for customer

issues in an effective manner. Additionally, the Science Support Engineer

will ensure the quality of our science by designing, creating and

maintaining test cases for all existing and upcoming Science features. The

ideal candidate will be detail oriented, organized, and reliable and will

possess a strong background in a quantitative field. Interpersonal and

communication skills are especially important as the individual will be

expected to explain difficult scientific and technical concepts to both

internal and external users. Must be able to handle multiple priorities, be

very flexible, and work well with minimum supervision. Must be able to take

initiative and succeed under pressure in a fast paced, dynamic environment.

Responsibilities:

- Work closely with the Support and Science teams to resolve

science-related customer issues

- Develop tools to streamline our Science troubleshooting process

- Work with members of the QA team to develop test cases for science features

Job Requirement

Minimum Requirements:

- Advanced degree (Master or PhD) in a quantitative field such as Applied Mathematics, or Statistics.

-Excellent verbal and written communication skills, and the ability to express technical concepts in clear, concise terms

-Demonstrated analytical skills and great comfort with handling vast quantities of data and summarizing meaningful insights

Desired Experience:

- Experience in statistical software (it can be SAS, Splus, R, Matlab)

- Experience in SQL, Perl, Excel, and Shell Scripting

- Experience in econometric modeling

- Experience conducting retail merchandising and marketing analyses

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