Sr. Technical Supervisor, IM-業(yè)務(wù)系統(tǒng)分析高級(jí)主管
面議
武漢
應(yīng)屆畢業(yè)生
學(xué)歷不限
武漢
應(yīng)屆畢業(yè)生
學(xué)歷不限
- 全勤獎(jiǎng)
- 節(jié)日福利
- 不加班
- 周末雙休
職位描述
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Primary Responsibilities
* Lead or participate in discussions with business partners to extract and
document the requirements and critical business logic necessary for the data
and reporting needs of the business lines.
* Lead or participate in the delivery of aggregated data, reports, metrics,
analytics and/or visualizations in support of business requirements, following
established methodologies and processes.
* Conduct data analysis and investigations when issues with data are
identified.
* Collaborate to define and implement information standards and data quality
measures to ensure data integrity and quality across functions. Supports the
compliance of information with internal policies and external regulations and
standards.
* Proactively identify project and data issues and collaborate with the team
to develop solutions
* Proactively identify opportunities and conduct advanced analytics to
deliver business insights.
Technical Skill Requirements
* Strong data analysis skill is required - Advanced skills in SQL.
* Experience with database/ETL development is required.
* Familiar with one or more databases - AWS Redshift, Impala/Hive, MySQL,
Oracle, SQL Server, etc.
* Familiar with one or more ETL tools - 02Informatica, Databricks etc.
* Experience with BI tools like Spotfire, Tableau, etc. is preferred.
* Experience with Alteryx development is preferred.
* Strong oral and written English is preferred
* Familiar with one or multiple programming skills is a plus – Python,
Javascript, C#/.Net, Java, etc.
* Exposure to big data/Cloud technologies is a plus – like Spark, AWS etc.
* Exposure to advanced analytics, AI/Machine learning is a plus.
* Understand Pharm industry and GCP is a plus
* Strong PM/BA skills is a plus
Qualifications (i.e., preferred education, experience, attributes)
* At least 3 years working experience in IT or Pharm industry is required
* Minimum Bachelor’s degree in information technology, mathematics,
statistics or other relevant STEM program, or equivalent experience in
scientific computing, computational sciences, bioinformatics or other relevant
experience.
* Knowledge of project management, data analysis, business analysis, and
information integration
* Familiarity with Clinical, Safety, Regulatory and Content Management
systems and processes
* Demonstrated facility to understand the “big picture” in terms of potential
implications, and translate to activities in support of the “big picture”
* Demonstrated project management and organizational skills.
* Demonstrated customer relationship skills and capabilities, and
collaboration on teams.
* Strong verbal, written communication and presentation skills.
0202
Work Location Assignment:02On Premise
Pfizer is an equal opportunity employer and complies with all applicable equal
employment opportunity legislation in each jurisdiction in which it operates.
Information
* Lead or participate in discussions with business partners to extract and
document the requirements and critical business logic necessary for the data
and reporting needs of the business lines.
* Lead or participate in the delivery of aggregated data, reports, metrics,
analytics and/or visualizations in support of business requirements, following
established methodologies and processes.
* Conduct data analysis and investigations when issues with data are
identified.
* Collaborate to define and implement information standards and data quality
measures to ensure data integrity and quality across functions. Supports the
compliance of information with internal policies and external regulations and
standards.
* Proactively identify project and data issues and collaborate with the team
to develop solutions
* Proactively identify opportunities and conduct advanced analytics to
deliver business insights.
Technical Skill Requirements
* Strong data analysis skill is required - Advanced skills in SQL.
* Experience with database/ETL development is required.
* Familiar with one or more databases - AWS Redshift, Impala/Hive, MySQL,
Oracle, SQL Server, etc.
* Familiar with one or more ETL tools - 02Informatica, Databricks etc.
* Experience with BI tools like Spotfire, Tableau, etc. is preferred.
* Experience with Alteryx development is preferred.
* Strong oral and written English is preferred
* Familiar with one or multiple programming skills is a plus – Python,
Javascript, C#/.Net, Java, etc.
* Exposure to big data/Cloud technologies is a plus – like Spark, AWS etc.
* Exposure to advanced analytics, AI/Machine learning is a plus.
* Understand Pharm industry and GCP is a plus
* Strong PM/BA skills is a plus
Qualifications (i.e., preferred education, experience, attributes)
* At least 3 years working experience in IT or Pharm industry is required
* Minimum Bachelor’s degree in information technology, mathematics,
statistics or other relevant STEM program, or equivalent experience in
scientific computing, computational sciences, bioinformatics or other relevant
experience.
* Knowledge of project management, data analysis, business analysis, and
information integration
* Familiarity with Clinical, Safety, Regulatory and Content Management
systems and processes
* Demonstrated facility to understand the “big picture” in terms of potential
implications, and translate to activities in support of the “big picture”
* Demonstrated project management and organizational skills.
* Demonstrated customer relationship skills and capabilities, and
collaboration on teams.
* Strong verbal, written communication and presentation skills.
0202
Work Location Assignment:02On Premise
Pfizer is an equal opportunity employer and complies with all applicable equal
employment opportunity legislation in each jurisdiction in which it operates.
Information
工作地點(diǎn)
地址:武漢洪山區(qū)光谷生物城
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求職提示:用人單位發(fā)布虛假招聘信息,或以任何名義向求職者收取財(cái)物(如體檢費(fèi)、置裝費(fèi)、押金、服裝費(fèi)、培訓(xùn)費(fèi)、身份證、畢業(yè)證等),均涉嫌違法,請(qǐng)求職者務(wù)必提高警惕。
職位發(fā)布者
車艷鑫HR
輝瑞(中國)研究開發(fā)有限公司
-
制藥·生物工程
-
1000人以上
-
中外合資(合資·合作)
-
浦東科苑路88號(hào)上海德國中心2幢501-533室
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