工作地点：

北京市-朝阳区

工作职责：

Vacancy –Data Management Assistant of Asian Infrastructure Investment Bank (AIIB)

AIIB would like to select suitable candidates to fill the position of Data Management Assistant. Monthly salary (before tax and social security insurance deduction) will be between RMB 12,000 and 17,000 yuan which is based on the competencies and skills demonstrated by applicants in the interview and experiences.

For Application: Please click on the "现在申请" button or scan the QR code below to register with our system and upload your application details. Please note that only shortlisted candidates will be contacted for interview.

Title: Data Management Assistant
Job Type: Outsourced (Chinese Nationality only)
Department: Strategy, Policy and Budget Department
Work Hours: Full-time
Location: Chaoyang District, Beijing
Closing Date: November 30h, 2024
Monthly salary (before tax and social security insurance deduction) will be between RMB 12,000 and 17,000

The Asian Infrastructure Investment Bank (AIIB) is a multilateral development bank whose mission is financing the Infrastructure for Tomorrow—infrastructure with sustainability at its core. We began operations in Beijing in January 2016 and have since grown to 109 approved Members worldwide. We are capitalized at USD100 billion and AAA rated by the major international credit rating agencies. Collaborating with partners, AIIB meets clients’ needs by unlocking new capital and investing in infrastructure that is green, technology-enabled and promotes regional connectivity.

AIIB’s Strategy, Policy and Budget (SPB) Department is responsible for: (i) developing and monitoring the implementation of the Bank’s strategic agenda; (ii) developing and overseeing compliance with the Bank’s operational policies and procedures for the Bank’s infrastructure investment operations (non-treasury), including environmental, social, procurement and financial management; and (iii) developing and monitoring the Bank’s annual business plan to implement the Bank’s strategies and manage the Bank’s administrative budget to support the implementation of the annual business plan.

SPB is recruiting a Data Management Assistant to support the work of the Corporate Strategy team in implementing the Bank’s Corporate Strategy, Business Plan, and other strategic initiatives. The key responsibility of the Data Management Assistant is to provide necessary research, data and analytical support to the team, as well as administrative management and coordination as needed. The Data Management Assistant will collect and manage data from various sources and generate basic analytics from the data to support the business operation of the team, which may include secondary research utilizing external databases; creating and maintaining internal databases and dashboards; and generating business intelligence based on those databases. Attention to detail and the ability to perform logical sense checks are critical for success in this role.

Specific Responsibilities include but are not limited to:

-The primary responsibility involves supporting the team with data collection, management, and analysis. The specific tasks include:

oIdentifying sources of data and its structure, and updating databases accordingly, such as supporting data pre-processing, structuring, and checking data accuracy and consistency.
oDeveloping processes and tools for data collection, automating analysis, progress management, and record and document management. Improve the efficiency of the data management process.
oRetrieving and preparing timely data, statistics, and market information to support the team's analytical work.
oSupporting quantitate and qualitative analysis with sound data quality and methodology design.
oUnderstanding business needs and requirements, then translating them into effective data analysis and insights to provide reliable support for decision making. This involves asking follow-up questions to fully understand the purpose of the task and data requirements, developing a well-thought-out plan to address them, and communicating these plans with the task owner to ensure alignment.
oPresenting information in a clear, understandable manner, including data visualization and dashboard creation but more importantly in a strong logical structure.

-In addition, the Assistant will provide more general support to the team, which includes:

oManaging schedules and maintaining up-to-date files and records of correspondence and documentation related to the team's operations.
oProviding support for the organization of meetings, events, workshops, travel, and conferences. This may include logistical support, on-site support, contents preparing, and note taking.
oSupporting procurement actions, processing invoices, and maintaining an up-to-date record of vendor payments.
oEnsuring the timely and smooth implementation of logistics for key tasks.

-Any other tasks that may be assigned from time to time by the supervisor.

任职资格：

Candidate Requirements
-Bachelor's degree or higher in related fields from a reputable university, with a preference for degrees in statistics, applied economics, mathematics, and business analytics.
-At least one year of relevant experience in data management and analytics, preferably within an international or financial institution.
-Demonstrated proficiency in MS Office Applications, including advanced Excel skills, and data visualization tools such as Power BI is essential. Experience with SQL, Python, Stata and other coding languages and statistical/data mining techniques is a plus.
-Proficient in both verbal and written English and Chinese.
-Excellent interpersonal, diplomatic, and organizational skills, along with the ability to manage multiple priorities.
-Self-motivated and continuously looks for opportunities to improve team processes and workflow, proactively suggesting innovative solutions to enhance efficiency and effectiveness.
-Capable of working under pressure and meeting deadlines, with a strong orientation towards service and the ability to support multiple team members' tasks by effectively prioritizing and managing workload.
-Detail-oriented with a commitment to maintaining high standards of accuracy and consistency in data work. This includes learning from past mistake to improve future performance, keeping well-organized and thorough records of data processes and decision-making rationales, and conducting careful quality checks to ensure reliability in all outputs.
-Proactive in communicating with team members, regularly updating progress on tasks, and seeking feedback to improve work quality and ensure alignment with team goals.
-Willingness to learn and adapt, demonstrating initiative in enhancing skills and contributing to a collaborative team environment.