数据分析主管
翰仕人力资源(上海)有限公司
- 公司规模:50-150人
- 公司行业:专业服务(咨询、人力资源、财会)
职位信息
- 发布日期:2016-10-25
- 工作地点:南京
- 招聘人数:1人
- 工作经验:3-4年经验
- 学历要求:本科
- 语言要求:英语 良好
- 职位月薪:10000-14999/月
- 职位类别:数据库工程师/管理员
职位描述
职位描述:
Job Title: Lead Statistical Analyst
Department: Quantitative Marketing Group
Category: Quantitative Marketing
Position Summary:
The analytical team is responsible for leading all analytic engagements within Merkle. Our role is to
design innovative analytic solutions to solve complex business problems. Through analytically derived
insights, we often provide our clients with visibility into their business while systematically leading them
towards improved business performance.
As part of the team, you will be engaged in a variety of analytic projects with different aspects of the
customer lifecycle. To be successful in this role, you will need strong problem solving skills, ability to
work independently in a fast‐paced entrepreneurial work environment, be comfortable dealing with
ambiguity and change. Ability to handle multiple projects and collaborating with your co-workers is
essential.
Position Responsibilities:
? Analyze and manage data using SAS, SQL or other languages as required
? Implement analytical solutions using the following techniques: Predictive statistical modeling,
Customer profiling, Segmentation Analysis, Survey Design and Analysis, Data Analysis and
Mining, External Data Enhancement, and Econometric and financial analysis
? Evaluate and improve internal tools and processes
? Adapt statistical methods according to business problems
? Develop and test experimental designs, sampling techniques, and analytical methods
? Report results of statistical analyses, including information in the form of graphs, charts, and
tables
? Conduct basic business analysis and reporting
? Perform ad hoc analysis of business situations, systems, issues and problems
? Develop computer‐generated statistical and financial models
? Analyze marketing channels and exploring new business opportunities
? Mentor new colleagues
Position Qualifications:
? MS/PhD degree from a top university in a quantitative discipline (e.g. Statistics, Mathematics,
Economics, Finance, Operations Research, Engineering and etc.)
? 4 or more years relevant experience
? Strong problem-solving skills
? Strong communication, interpersonal and leadership abilities
? Excellent written English ability
? Proficient in Oral English
? Experience in SAS Programming is required
? Experience in Statistical Modeling is required
? Experience in Marketing and Business are preferred, but not required
? Experience in SQL Programming are preferred, but not required
? Excellent work ethic and great team player
Key words: Data Analyst, CRM, SAS, SQL, R
举报
分享
Job Title: Lead Statistical Analyst
Department: Quantitative Marketing Group
Category: Quantitative Marketing
Position Summary:
The analytical team is responsible for leading all analytic engagements within Merkle. Our role is to
design innovative analytic solutions to solve complex business problems. Through analytically derived
insights, we often provide our clients with visibility into their business while systematically leading them
towards improved business performance.
As part of the team, you will be engaged in a variety of analytic projects with different aspects of the
customer lifecycle. To be successful in this role, you will need strong problem solving skills, ability to
work independently in a fast‐paced entrepreneurial work environment, be comfortable dealing with
ambiguity and change. Ability to handle multiple projects and collaborating with your co-workers is
essential.
Position Responsibilities:
? Analyze and manage data using SAS, SQL or other languages as required
? Implement analytical solutions using the following techniques: Predictive statistical modeling,
Customer profiling, Segmentation Analysis, Survey Design and Analysis, Data Analysis and
Mining, External Data Enhancement, and Econometric and financial analysis
? Evaluate and improve internal tools and processes
? Adapt statistical methods according to business problems
? Develop and test experimental designs, sampling techniques, and analytical methods
? Report results of statistical analyses, including information in the form of graphs, charts, and
tables
? Conduct basic business analysis and reporting
? Perform ad hoc analysis of business situations, systems, issues and problems
? Develop computer‐generated statistical and financial models
? Analyze marketing channels and exploring new business opportunities
? Mentor new colleagues
Position Qualifications:
? MS/PhD degree from a top university in a quantitative discipline (e.g. Statistics, Mathematics,
Economics, Finance, Operations Research, Engineering and etc.)
? 4 or more years relevant experience
? Strong problem-solving skills
? Strong communication, interpersonal and leadership abilities
? Excellent written English ability
? Proficient in Oral English
? Experience in SAS Programming is required
? Experience in Statistical Modeling is required
? Experience in Marketing and Business are preferred, but not required
? Experience in SQL Programming are preferred, but not required
? Excellent work ethic and great team player
Key words: Data Analyst, CRM, SAS, SQL, R
职能类别: 数据库工程师/管理员
关键字: 数据分析 建模 SAS, SQL, R
公司介绍
翰仕人力资源(上海)有限公司
翰仕人力是专注于专业服务业(管理咨询、市场研究、IT咨询)、银行保险大金融、医药医疗大健康、互联网新经济等领域的高端人才招聘咨询服务提供商,基于在特定行业积累多年的经验,我们开发出***的解决方案,旨在为客户提供量身定制和可信赖的专业服务。
我们的猎头顾问拥有多年的从业经验,具有熟练的人才搜索技能,非凡的专业素养和渠道优势使我们得以建立广阔人才库,并确保经过翰仕全面评估的候选人是客户所需要的***匹配。
我们力求做人力资源总监/经理的工作伙伴,做候选人的职业顾问。无论在招聘的过程中,还是招聘完成之后,我们能够确保我们的工作是符合各方期望的。
我们团队以我们的品牌和能力为傲。我们热衷于营造一个积极的,成功为导向的公司文化,使我们在同行中脱颖而出。
我们信奉的价值观:诚实、正直、尊重、成就、热情、亲和力和创新
翰仕人力是专注于专业服务业(管理咨询、市场研究、IT咨询)、银行保险大金融、医药医疗大健康、互联网新经济等领域的高端人才招聘咨询服务提供商,基于在特定行业积累多年的经验,我们开发出***的解决方案,旨在为客户提供量身定制和可信赖的专业服务。
我们的猎头顾问拥有多年的从业经验,具有熟练的人才搜索技能,非凡的专业素养和渠道优势使我们得以建立广阔人才库,并确保经过翰仕全面评估的候选人是客户所需要的***匹配。
我们力求做人力资源总监/经理的工作伙伴,做候选人的职业顾问。无论在招聘的过程中,还是招聘完成之后,我们能够确保我们的工作是符合各方期望的。
我们团队以我们的品牌和能力为傲。我们热衷于营造一个积极的,成功为导向的公司文化,使我们在同行中脱颖而出。
我们信奉的价值观:诚实、正直、尊重、成就、热情、亲和力和创新
联系方式
- Email:charlie.zhou@hansexecutive.com
- 公司地址:上海市虹口区大连路1619号1206室 (邮编:200080)