Associate Data and Analytics Engineer At International Computing Centre

Position Description

The UNICC workforce consists of many diverse nationalities, cultures, languages and opinions. UNICC seeks to sustain and strengthen this diversity by ensuring equal opportunity and an inclusive working environment for its entire workforce. Applications are encouraged from all qualified candidates from any race, ethnicity, sex, national origin, age, religion, disability, sexual orientation and gender identity.

Purpose of the Position:

The focus of this position is to support effective data management, including in building, managing and optimizing data pipelines and architectures to support the production of analytics, in compliance with data governance, protection, privacy and security requirements. The Associate Data and Analytics Engineer will work closely with a team of data analysts and data scientists.

Objectives of the Programme:

The objectives of the Centre, as stated by its mandate, are to provide information and communication technology (ICT) services (including training) on an inter-organizational basis.

Main duties and responsibilities:

The incumbent will work under the direct supervision and guidance of the Chief, Data & Analytics Unit within the Clients & Projects Division and in close collaboration with the Data & Analytics team. The incumbent could be requested to do any other tasks of similar level in related fields.

Under close supervision, the incumbent will perform the following duties:

Supervise the daily work of a small team, including setting up of work plans, monitoring progress, providing regular feedback, technical guidance and support; Nurture a motivating work environment
Support the development and implementation of various analysis, reporting and quality control capabilities, and supporting the members of the team in this area
Deliver on assigned projects in relation to the optimal extraction, transformation, and loading of data from a wide variety of sources into data pipelines, as well as the creation and maintenance of data catalogues
Support the design and development of solutions for data-related technical problems and data infrastructure needs
Support the identification, design, and implementation of internal process improvements
Deploy packages to extract data features from datasets for data scientists and data analysts
Assist with the implementation of changes to data systems to ensure compliance with data governance, protection, privacy, and security requirements
Propose new data analysis process improvement opportunities with clear understanding of data sources
Identify appropriate data sources for analytics projects and the production of briefs, including for daily briefs on progress with partner agencies
Collaborate with data engineers and data scientists to improve data flows, data quality
Identify, analyse, and interpret trends or patterns, using basic machine learning techniques, statistical methods to identify relevant features and variables in structured and unstructured sources of information and data
Provide other ad hoc support either within your team or in other teams as required – this includes the participation in special projects or support to service delivery for short period of time on a part-time or full-time basis upon request from the senior management

Recruitment Profile

Experience and Skills required:

Essential:

A minimum of two (2) years of progressively responsible IT experience, including in data management and integration, modeling, optimization and other relevant areas
Experience supporting cross-functional teams and collaborating with stakeholders in support of analytics initiatives
Experience in cloud platforms such as Azure, AWS and programming languages such as Python or R are required for the role
Experience with on prem data infrastructure and database programming languages (SQL, etc.)
Experience in designing data integration and pipeline architectures SSIS packages and API infrastructure
Experience in DevOps tool chains consisting of tools like Git, Jenkins or Bamboo – or equivalent tools – and experience with the deployment of data pipelines
Knowledge of one or more Machine Learning platforms, e.g. TensorFlow, Keras, PyTorch

Desirable:

Experience in Artificial Intelligence, particularly Machine Learning techniques for data mining and extraction of large amounts of data is desirable. In this context, familiarity with concepts of bias and fairness (i.e., how to identify, assess, and minimize harmful biases, discrimination, and unfair outcomes in algorithmic systems and data) is particularly desirable
Experience working self-service analytics applications like Microsoft PowerBI, Tableau, Qlik and others for data discovery is desirable

Education*:

Essential:

First university degree in Computer Science, Statistics, Applied Mathematics, Data Management, Information Systems, Information Science or a related quantitative field

Desirable:

Advanced university degree (Master’s degree or equivalent) in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field
Ability to work with a diverse team in a rapidly changing work environment

Languages:

English: Expert knowledge is required
Other language: Spanish, beginner knowledge is desirable

UNICC Global Competencies:

Teamwork: Develops and promotes effective relationships with colleagues and team members. Deals constructively with conflicts.
Communicating: Expresses oneself clearly in conversations and interactions with others; listens actively. Produces effective written communications. Ensures that information is shared.
Respecting and promoting individual and cultural differences: Demonstrates the ability to work constructively with people of all backgrounds and orientations. Respects differences and ensures that all can contribute.
Creating an empowering and motivating environment: Guides and motivates staff towards meeting challenges and achieving objectives. Promotes ownership and responsibility for desired outcomes at all levels.
Knowing and managing yourself: Manages ambiguity and pressure in a self-reflective way. Uses criticism as a development opportunity. Seeks opportunities for continuous learning and professional growth.
Producing results: Produces and delivers quality results. Is action oriented and committed to achieving outcomes.
Ensuring effective use of resources: Identifies priorities in accordance with UNICC’s strategic directions. Develops and implements action plans, organizes the necessary resources and monitors outcomes.Select a maximum of five core, management and leadership competencies from the list below, in order of priority, commencing with the most important one and delete the unselected competencies.

Other Information

Compensation:

Annual Salary Estimation (net of tax at single rate):

Brindisi, (Italy), including post adjustment (17,7% on June 2022): US$ 57,971.
Geneva, (Switzerland), including post adjustment (64,8% on June 2022): US$ 81,170.
Rome, (Italy), including post adjustment (23,3% on June 2022): US$ 60,730.
New York, (USA), including post adjustment (73,8% on June 2022): US$ 85,603.
Valencia, (Spain), including post adjustment (24,1% on June 2022): US$ 61,124.

UNICC also offers generous leave and absence allowances, flexible working hours, overtime compensation, teleworking, access to training, and depending on eligibility other benefits such as relocation grant, dependency allowance, language allowance, or education grant.

Closing date for applications:

Applications will be accepted until midnight (Geneva Time) on 14th July 2022.

Notes:

Technical and/or personality tests may be carried out as part of the selection process
Only short-listed candidates will be contacted
Though you may not be selected for this advertised position, the UNICC will keep your application in a roster if your profile is deemed to be of potential interest for the Centre. You may thus be solicited by our HR department to participate in an interview for another position

* For UNICC staff members who do not meet the minimum educational qualifications, please refer to the applicable WHO e-Manual Annex 6 – Guidelines on Standard Minimum Experience Exposure and Education Requirements