Project Analyst (Data Architect) - Short-term NPSA 8

Entry Elections & Governance

Overview

Lead data pipeline development and support public service innovation initiatives.

You have:

• Master's degree or Bachelor's degree (or equivalent) in any discipline is needed.
• No prior work experience is required for candidates with a Master’s degree; at least 2 years of relevant work experience for those with a Bachelor's degree.
• Fluent in English and Bangla is required.
• Experience in data architecture development is required.
• Experience in data modelling techniques and tools is desired.
• Experience in database management systems is desired.
• Experience in data warehousing is desired.

Contract

This is a NPSA-8 contract. This kind of contract is known as National Personnel Services Agreement. It is normally only for nationals. It usually requires 1 years of experience, depending on education. More about NPSA-8 contracts.

Background

The Aspire to Innovate (a2i) Programme builds on the Government of Bangladesh’s efforts to introduce a citizen-centric culture of innovation in civil service to improve service delivery and make services more inclusive, affordable, reliable, and easier to access. This project will provide support to establish institutional mechanisms and improve accountability to accelerate SDG achievements in Bangladesh.

This project will have three components:

1. Institutionalizing Public Service Innovation and Improving Accountability

2. Catalyzing Digital Financial Services and Fintech Innovations

3. Incubating Private Sector-enabled Public Service Innovation

The project is funded by the Government of Bangladesh, UNDP, and other development partners, and is implemented by the ICT Division and Cabinet Division.

Duties and Responsibilities

Under the direct supervision of the Project Manager, a2i and in collaboration with relevant stakeholders, the incumbent will perform the following responsibilities:

1. Data pipeline development
2. Data warehousing
3. ETL process

S/he will have the following, but not limited to the following specific duties and responsibilities:

Data pipeline development

• Lead the design, development, and maintenance of scalable data pipelines for multi-source collection, processing, and storage.
• Optimize data pipelines and database queries for high performance and enterprise scalability.
• Implement and enforce data security frameworks to protect sensitive and regulated data.
• Evaluate, recommend, and lead adoption of emerging data technologies and tools.

Data warehousing

• Develop and oversee data warehouses and data lakes to ensure efficient, reliable access to large datasets.
• Collaborate with data scientists, analysts, and stakeholders to deliver fit-for-purpose data solutions aligned with business need.

ETL process

• Implement and manage enterprise-grade ETL processes to integrate diverse data sources.
• Ensure data quality and integrity through rigorous validation, monitoring, and governance protocols.

4. Institutional Arrangement

The incumbent will report directly to the Project Manager, a2i and will work closely with relevant government bodies, development partners, NGOs, and private sector entities. The incumbent will be a part of the Data team and support its efforts to foster the culture of Data-Driven decision making across the government of Bangladesh.

Competencies

Core Behavioral Competencies Achieve Results: LEVEL 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline Think Innovatively: LEVEL 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements Learn Continuously: LEVEL 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback Adapt with Agility: LEVEL 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible Act with Determination: LEVEL 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident Engage and Partner: LEVEL 1: Demonstrates compassion/understanding towards others, forms positive relationships Enable Diversity and Inclusion: LEVEL 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination

Cross-Functional & Technical Competencies Thematic Area Name Definition Cross-Functional competencies Effective Decision Making Take decisions in a timely and efficient manner in line with one's authority, area of expertise and resources and take into consideration potential wider implications. Cross-Functional competencies Knowledge Generation Ability to research information and to turn it into useful knowledge, relevant for context, or responsive to a stated need. Ability to apply existing concepts to new situations, and to develop new concepts to generate workable solutions and new approaches. Knowledge of relevant concepts, conceptual models, and theories that can be useful in addressing new situations. Cross-Functional competencies Digital Awareness and Literacy Ability to monitor new and emerging technologies, as well as understand their usage, potential, limitations, impact, and added value. Ability to rapidly and readily adopt and use new technologies in professional activities, and to empower others to use them as needed. Knowledge of the usage of digital technologies and emerging trends. Cross-Functional competencies Working with Evidence and Data Ability to inspect, cleanse, transform and model data with the goal of discovering useful information, informing conclusions and supporting decision-making Technical competencies Data Engineering Ability in programming languages such as SQL, Python, and R, be adept at finding warehousing solutions, and using ETL (Extract, Transfer, Load) tools, and understanding basic machine learning and algorithms. Technical competencies Data Privacy and Digital Ethics Knowledge of ethical usage of digital technology (e.g. AI, robotics, automation) and data. Ability to assess ethical implications when using, combining or sharing data, when building or implementing AI systems, and when advising on robotisation and automation etc. Ability to design privacy protocols to ensure data is protected and used for legitimate purposes without unnecessary privacy risks. Technical competencies Data Analysis Ability to extract, analyse and visualize data to form meaningful insights and aid effective business decision making

Required Skills and Experience

Minimum Education Requirements:

Master’s degree Bachelor’s degree (or equivalent) in any discipline

Minimum years of relevant work experience:

• No prior work experience is required for candidates with a Master’s degree. • At least 2 years of relevant work experience with a Bachelor’s degree (or equivalent).

Required skills:

Experience in data architecture development.

Desired skills in addition to the competencies covered in the Competencies section: • Experience in data modelling techniques and tools. • Experience in database management systems. • Experience in data warehousing.

Required Language(s) Fluent in English and Bangla is required.

Equal opportunity

As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination.

UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all.

Sexual harassment, exploitation, and abuse of authority

UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles.

Right to select multiple candidates

UNDP reserves the right to select one or more candidates from this vacancy announcement. We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements.

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Potential interview questions

Added 11 months ago - Updated 11 months ago - Source: jobs.undp.org