Financial Inclusion Data Wrangler
John Brosnan
Job Title Financial Inclusion Data Wrangler
Job Type Full-time or part-time
Reports to Financial Inclusion Director
Location Washington D.C./New York preferred
Job Description
The Financial Inclusion Data Wrangler will support the development of MIX’s financial inclusion
practice, in close collaboration with the analysis and product teams. The Data Wrangler will
be responsible for investigating data resources on financial inclusion, managing large datasets,
as well as analyzing, mapping and visualizing data hosted on www.finclusionlab.org.
The Financial Inclusion Data Wrangler will work together with the MIX Financial Inclusion Team
to shape and deliver MIX’s data and analysis on financial inclusion. Responsibilities include the
following:
1. Investigating and working to collect, clean and document data on financial inclusion,
including from external platforms, including data on financial service providers and
contextual information on different developing countries such as population, poverty,
and infrastructure.
2. Conducting analysis of data on financial inclusion, including mapping and other types
of data visualization. Mapping work will include data set geo-coding and building maps
using proprietary tools for online display. Analysis of data will be based on hypotheses
and questions from key stakeholder groups.
3. General support to MIX’s analysis and research functions
Skills:
• Solid data manipulation and analysis skills, including:
o Editing and augmenting geographic files of both raster and vector formats
o Data cleaning, reformatting, and summarizing, using various software and
programming languages
• Research and analytical skills that support a clear and in-depth understanding of the local
financial inclusion landscape and afford decision-makers with the tools and knowledge
they need to support increased financial inclusion
• Web scraping (e.g. Mozenda)
• Ability to learn software and design techniques quickly
• Extreme attention to detail and thorough work ethic
• Ability to communicate ideas, problems and questions succinctly
• Creative problem solver and willingness to work in an imperfect data environment
Qualifications:
• Bachelor’s or Master’s degree in a scientific discipline including Geography, Information
Science, Economics, or Statistics
• Strong knowledge of geo-spatial software, such as ArcGIS, QGIS, or Tilemill
• Familiarity with business intelligence software including Tableau, Qlikview or Spotfire
• Familiarity with geospatial platforms, specifically GeoServer & PostGRES
• Basic understanding of CSS/HTML, Python, GDAL and statistical software, such as R
• Desire to learn, work with others and help advance the financial inclusion movement
Remuneration
This is a full-time renewal contraction position however may be adjusted to accommodate a
part-time schedule. Remuneration will be commensurate with qualifications and range for the
position.
Application
Qualified candidates should e-mail a cover letter and résumé to h...@themix.org and mention
“Data Wrangler” in the subject line. The position closing date is March 10th, 2015.
Selected candidates will be interviewed and MIX is looking for the Data Wrangler to start by
April 2015.
MIX is an equal opportunity employer.
About MIX
MIX promotes responsible financial services for underserved communities through data
exchange and market insight. For 12 years, MIX has aggregated, displayed, and analyzed
information on the financial, operational, and social performance of the microfinance
industry. As financial services to the poor have expanded beyond traditional microfinance to
new channels and products, MIX is also evolving to fill the information gaps on the broader
financial inclusion landscape and place microfinance in a wider context. MIX is the first
organization to bring together otherwise isolated datasets on supply and demand for financial
services that provide sufficient context for policy makers, operators, donors, and investors to
make informed decisions at the sub-national level. In 2014 MIX launched FINclusion Lab, an
analysis and data visualization workshop designed to inspire the coordinated delivery of
responsible financial services to underserved communities. FINclusion Lab’s business
intelligence tools enable users to analyze the access, quality, and usage of financial services
for excluded communities through geo-spatial mapping and other types of data visualizations.
MIX has staff located in New York, Washington, DC, London, Paris, Amsterdam, Tirana; and
satellite offices in Azerbaijan, India, Kenya, Senegal, and Peru.