• 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