ROLE DESCRIPTION
The senior associate will be largely involved in primary data collection, including quality control, survey design and scripting, relational database management, data cleaning, data analysis and report writing. That being said, the associate will be further involved in other areas of data innovation alongside members of the PDI team – involving AI, automations, dashboarding, system and database design as well as GIS.
Beyond your data responsibilities, you’ll play a pivotal leadership role within the PDI team, guiding and fostering the growth of junior team members. If you’re passionate about driving data innovation and nurturing talent, this role offers a dynamic opportunity to make a meaningful impact.
Responsibilities
A core facet of working in the PDI team centres around rigour. As custodians of data quality for data-centric development projects in the young world, we therefore value trust and transparency above all else. Rigour is carried through from conceptualisation, designing robust data collection tools, real-time quality control all the way to analysis and the dissemination of findings.
The responsibilities of the senior associate role include:
Project management (budgeting, resource allocation, project coordination)
Qualitative and quantitative methodology design
Quality control
Data collection tool design & digitisation
Relational database management
Dashboard development
Data cleaning & analysis
Stakeholder engagement with clients, fieldwork partners and key informants
Dissemination of research findings using various mediums (reports, dashboards, data visualisation, presentations)
Mapping geographical data
Leadership and capacity building
Requirements
We specifically would like to hire an experienced professional with a keen interest and love for data who has a passion for doing impactful work across the young world.
Requirements
Integrity – as custodians of data quality for development projects in the young world, we value trust and transparency above all else.
At least 5 years of experience in data-driven consulting work (quantitative and/or qualitative)
Masters degree or higher
Academic qualifications involving economics, psychology, statistics, monitoring and evaluation, environmental science, development and/or sociology or similar
Good knowledge of statistics
Proficiency working with scripted data analysis software (e.g. STATA, SPSS, R or Python)
Tech-savvy individual excited to work with new digital platforms, with guidance from the DI team (Slack, Airtable, Looker Studio, Google MyMaps)
Excellent writing ability in English
Excellent written and verbal communication in English.
Desirable (advantageous)
7 years of experience in data-driven consulting work (quantitative or qualitative)
French speaking (highly desirable)
Relational database experience (Airtable, SQL)
GIS experience/experience using spatial statistics
go to method of application »
Use the link(s) below to apply on company website.
Apply via :
