TERMS OF REFERENCE

Data Analyst

GEAR Bangladesh - Manufacturing, Agribusiness & Services


A. Objectives/Purpose of Assignment

Background:

IFC - a sister organization of the World Bank and member of the World Bank Group—is the largest global development institution focused on the private sector in emerging markets. We work with more than 2,000 businesses worldwide, using our capital, expertise, and influence to create markets and opportunities in the toughest areas of the world. In fiscal year 2020, we invested $22 billion in private companies and financial institutions in developing countries, leveraging the power of the private sector to end extreme poverty and boost shared prosperity. For more information, visit www.ifc.org

The Manufacturing, Agribusiness and Services (MAS) department represents IFC’s work in the Manufacturing, Agribusiness, and Services sectors. These sectors are key to delivering direct impact that caters to basic human needs such as food, shelter, jobs, and health and education. They play a critical role in providing goods and services to consumers, address core needs, create jobs, contribute to government revenue, and stimulate growth through SMEs. Within the MAS Department, IFC implements the Gender Equality and Returns (GEAR) training program.

GEAR aims to redress the gender imbalance in the ready-made garment industry of Bangladesh, while also improving line productivity in factories, where on average 80% of line workers consist of women but only 5% of line supervisors are women. GEAR is a joint initiative of IFC and the ILO under the partnership of Better Work. GEAR trains female operators and their managers to develop skills that ease the path for women to progress into supervisory roles in ready-made garment factories in Bangladesh. The pilot phase of GEAR with 28 factories was completed in 2018. Implementation of the scale-up as a Better Work Bangladesh training jointly with ILO with an additional 50 factories in partnership with apparel brands is expected to be completed by September 2022. More information about GEAR can be found in the video (pilot), report (pilot) and webpage (current phase).

Purpose of the assignment:

IFC is looking to hire two data analysts as Short-term Consultants (STC) to assist with the impact evaluation of GEAR. Under the direction of the Lead Researcher, the consultant will be responsible for supporting the impact assessment through working as part of the data collection team to extract and organize administrative data from 25-30 GEAR factory participants. These data will be analyzed to measure the impact of GEAR on production-line productivity.

IFC expects the assignment to require about 50 days of work between November 27, 2022, to January 31, 2023.

B. Scope of Work

The two data analysts will support the impact assessment of GEAR through extracting and organizing large numbers of administrative data of GEAR factories with the use of relevant software and applications. Initially, a separate research team will collect productivity data from the ready-made garment factories, which are participating in GEAR. Generally, the collected

productivity data are in various formats (written, pdf, word, excel) which varies substantially among factories. The titles, labels, and meanings of the data may also vary. The main responsibility of the Data Analysts will be to develop a strategy to extract the data in its various forms (pdf, excel, etc.) and produce digitized files for each factory. The analysts will then work with the research team to harmonize these disparate data into one large data set containing variables that are defined in a consistent manner across factories. The work will involve extracting data using a variety of tools and merging those data into a rigid format for analysis. To do this, a deep understanding of what the data represent is critical. This is a demanding task that requires a candidate who can use a variety of technologies and skills such as:

  • Coding in Python and its analytical libraries such as Pandas
  • In-house data extraction programs (written in python)
  • Unstructured data extraction, wrangling, cleaning, and harmonization
  • PDF Readers

The Data Analysts will work as members of the GEAR impact evaluation team with a strong commitment to complete deliverables within a timeline. S/He will work under the supervision of Professor Dr. Christopher Woodruff of the University of Oxford and his team, and report to Ms. Nabeera Rahman, GEAR Bangladesh Lead, IFC.

C. Deliverables / Specific Outputs Expected from Consultant

Specific deliverables include, but are not limited to:

  • Develop executable and efficient notebooks for data extraction using Python and its analytical libraries such as Pandas.
  • Create csv or excel files as output from PDF raw files using PDF readers.
  • Create cleaned datasets from factory productivity data using data reports while working closely with GEAR impact evaluation team.
  • Deliver the final harmonized data set for the researcher team for analysis.

 

List of Deliverables Expected Duration Expected Timeline
1.
Deliverable #1
  1. Extract production report of factory “1”
  2. Extract production of factory “1”
  3. Combine production and attendance report to make factory wise harmonized report
2.5 days 27-30 November 2022
2.
Deliverable #2
Carry out the same activities mentioned in deliverable#1 for another 2 factories
5 days 1-8 December 2022
3.
Deliverable #3
Carry out the same activities mentioned in deliverable#1 for another 4 factories
10 days 9-22 December 2022
4.
Deliverable #4
Carry out the same activities mentioned in deliverable#1 for another 4 factories
10 days 23 December 2022 – 8 January 2023
5.
Deliverable #5
Carry out the same activities mentioned in deliverable#1 for another 3 factories
7.5 days 9 – 19 January 2023

D. Special Terms & Conditions / Specific Criteria:

  • Bachelor’s degree in Computer Science, Engineering, or related fields with track record of programming skills. Prior experience with unstructured data extraction, wrangling, cleaning and harmonization will be preferred.
  • Minimum 2-3 years of experience using Python to extract data and transform using jupyter notebook and libraries like Pandas and NumPy is highly desirable.
  • Knowledge and understanding of production processes in ready-made garment factories is desirable.
  • Ability to work independently with an interest in learning new skills.
  • Good interpersonal skills and demonstrated ability to work effectively as part of a team in a fast-paced, multicultural, and virtual environment.
  • Positive and collaborative attitude and dedication to excellence and professionalism; significant attention to detail and decisive decision-making.
  • Ability to multi-task in a fast-paced environment and be proactive, consistent, and timely with delivery under limited supervision.

E. Duration of Assignment and Reporting Duties

The assignment is expected to require about 50 days of work between November 27, 2022, to January 31, 2023. The STCs will work under the supervision of Professor Dr. Christopher Woodruff of the University of Oxford and his team, and report to Ms. Nabeera Rahman, GEAR Bangladesh Lead, IFC.

To Apply

Interested candidates should send their CV and Cover Letter to Sarder Niamul Islam (sislam1@ifc.org) by Thursday, November 10, 2022 with the subject line “GEAR BD – Data Analyst”. Please note that both the CV and Cover Letter should be submitted together as one document in pdf format.