Data Quality Assurance Intern

Employer Profile

United States

Opportunity Deadline

28/11/2023

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Fresh

United States

Summary of key functions:

To assist the PIMS+ data quality assurance by delivering various data monitoring and manual update support
To support the PIMS+ result database improvement
To archive the documentation of PIMS+ modules, guidance, and relevant information
To support the data validation among the different report modules

To assist the PIMS+ data quality assurance by delivering various data monitoring and manual update support

To monitor and update the PIMS+ “system health consistency checking” module on daily basis
To monitor and update the HR data from Quantum and manual update by users
To check GEF7 (all projects), manual checking if financial and RM component are matched in case there are financial changes, to address any error
To improve the PIMS guidance by checking the quality of the existing ones

To support the PIMS+ result database improvement

The Intern will support to the PIMS+ team in system development that include:

To archive the documentation of PIMS+ modules, guidance, and relevant information

To archive the PIMS+ documents in Sharepoint, Workspace, Milestones, and others to be used as guidance and reference

To support the data validation among the different report modules

The Intern will support validating the data accuracy and consistency between PIMS reports, dashboard, and PBI analysis, supporting PIMS data expert.

Core

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*
*Digital & Innovation*	*Data analysis*	Ability to extract, analyse and visualize data (including Real-Time Data) to form meaningful insights and aid effective decision making
*Digital & Innovation*	Data collection	Being skilled in Data Sorting, Data Cleaning, Survey Administration, Presentation and Reporting including collection of Real-Time Data (e.g. mobile data, satellite data, sensor data).
*Digital & Innovation*	Data literacy	Understand the potential as well as the limitations of using data-driven innovation. Ability to use a mix of data sources (quantitative, qualitative or real-time techniques) to develop understanding, identify patterns to inform decision making or identify opportunities for further exploration.
Business Management	Communication	Ability to communicate in a clear, concise and unambiguous manner both through written and verbal communication; to tailor messages and choose communication methods depending on the audience Ability to manage communications internally and externally, through media, social media and other appropriate channels
Business Development	Knowledge Generation	Ability to research and turn information into useful knowledge, relevant for context, or responsive to a stated need
Business Management	Monitoring	Ability to provide managers and key stakeholders with regular feedback on the consistency or discrepancy between planned and actual activities and programme performance and results

Education
Applicants to the UNDP internship programme must at the time of application meet one of the following requirements:

Be enrolled in a graduate school programme (second university degree or equivalent, or higher) in fields such as computer sciences, web resources development, web design, programming or other closely related field;
Be enrolled in the final academic year of a first university degree programme (minimum Bachelor’s level or equivalent) in fields such as computer sciences, web resources development, web design, programming or other closely related field;
Have graduated with a university degree (as defined above), and, if selected, must start the internship within one-year of graduation.

Experience:

Relevant work/voluntary/internship experience in working experience in development of robust Web 2.0 information systems (projects of large scale – database model larger than 200 relational entities, complex role based access control preferred);
Knowledge of/familiarity with full stack development (frontend design, backend development, SQL, Linux administration) and in software analysis and design, including knowledge of analytical methodologies and approaches such as Use-Case analysis and use of UML. Hands-on experience preferred;
Excellent knowledge of design and implementation of applications on relational database level – excellent knowledge of SQL;
Knowledge of, and/or prior experience within, the UN system is considered an advantage.

Language requirements