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Major Responsibilities and Objectives:
· Through special analysis of business models to help disassemble, analysis of business scenarios, analysis
of ideas, the formation of product demand, and collaboration with the relevant team to implement.
· Assist the Organization in data technology, product - related training to enhance the ability of digital product,
enhance data analysis skills.
· Ensure the proper operation of infrastructure-related business for both the shopping mall and office areas.

Major Tasks & Activities:
· Responsible for the full lifecycle of digital projects, including but not limited to requirements research, solution selection, deployment and implementation, as well as subsequent iterations.
· Assist in the core data statistics and analysis of shopping mall operations.
· Participate in the development of the data business analysis index system and promote the implementation of relevant indicators.
· Follow up on compliance and management matters such as budgeting, ISO, and NIST.
· Support the data needs of different categories within business team to develop multidimensional data
analysis report.
· According to the needs of business development to help provide a fixed time window and provides thematic
data analysis reports on specific topics.
· Other work in the sector.
· Complete other work arranged by department heads.

Skills, Qualifications and Experience Requirements
· More than 3 years of business experience, proficiency in mainstream business systems environments,
including but not limited to the use and deployment of ERP, CRM, Consumer Traffic System.
· Familiar with commercial operating system and business model, understanding the actual needs of various
departments
· Be familiar with and have a thorough understanding of the responsibilities and functions of the information
technology department in a shopping mall environment
· Required to have the ability of development programs, including but not limited to C + +, C, C #, R, Java,
python, and so on.
· More than 3 years of business data analysis of practical experience have relevant business data analysis training and certification is much better. Familiar with statistical analysis software, including but not limited to, such as SPSS, R, python,statas.
· Focus on and understand the mainstream and Advanced Data Analysis Techniques, artificial intelligence
theory and products.
· A strong command of statistical and AI algorithms is highly desirable, including but not limited to
machine learning, random forests, binary trees, SVM, and regression analysis.
· Proficiency in mathematical analysis methods for business systems—such as the RFM model, CLV system, ARIMA
model, landlord and tenant relationship model, and lifecycle or time period analysis—would be considered a significant advantage.

Competencies Requirements
· Cultivates Innovation - Changemaker who loves to innovate and think up new and better ideas for the Company’s success
· Business Acumen - Adept business, financial,and market knowledge; able to make business decisions and advance the Company’s goals
· Drives for Results - Self-driven go-getter who is result-oriented and powers through tough situations
· Ensures Accountability - Strong sense of accountability and ownership towards commitments, and the ability to establish clear responsibilities for measuring results
· Optimises Work Process - Optimiser who can set up efficient and sustainable processes to carry out departmental projects
· Collaborates - Strong partnership-building and collaboration skills; able to work with others to meet shared objectives
· Communicates Effectively - Excellent communicator who can clearly and effectively communicate with diverse groups of audiences
· Situational Adaptability - Quick and proactive in adapting to changes in work demands and situations

WHY CHOOSE US
We are:
? HRoot Best Employers in Greater China 2021, 2023 & 2024
? HRoot Best Social Enterprises in Greater China 2024

JOIN US
Don’t Miss This Opportunity!
As an equal opportunity employer, Taikooli Sanlitun strives to foster a diverse workforce and inclusive workplace, where People can thrive. If you require special assistance and accommodations during any part of the recruitment process, including the online application and/or the selection process, please reach out to us via email at any time.
All personal data collected during the application process will be kept for 24 months after its completion,
and then destroyed. All information will be used for recruitment and appointment purposes only. Taikooli Sanlitun will handle all personal data confidentially in accordance with the local law.

REFERRALS FROM OTHER SOURCES
Taikooli Sanlitun does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the
event a candidate submitted by a recruiter without an agreement in place is hired. Such resumes will be deemed the sole property of Taikooli Sanlitun.

隱私政策
隱私聲明：您向北京三里屯北區(qū)物業(yè)管理有限公司（以下簡稱“我們”）投遞簡歷信息即代表您授權(quán)我們根據(jù)《太古地產(chǎn)（中國）招聘隱私政策》（“隱私政策”）處理您提交的個人信息。我們承諾對您所提供個人信息的處理將嚴(yán)格限定在您的授權(quán)范圍內(nèi)，并根據(jù)適用的法律的規(guī)定采取合理措施保障信息安全。在此次招聘活動結(jié)束后，我們將按照該隱私政策及中國內(nèi)地相關(guān)法律法規(guī)要求對上述信息予以處理。若欲完整了解我們的個人隱私保護政策，請登錄招聘官網(wǎng)，查看《太古地產(chǎn)（中國）招聘隱私政策》（https://www.swireproperties-recruitment.com/social-recruitment/swireproperties/126011#/）。（以上下劃線內(nèi)容與該隱私政策下的定義具有相同含義。）