Microfinance Business Analyst, BIHBV at

1 month ago


Nairobi, Nairobi Area, Kenya BRAC Full time
We are the world's largest international development organisation, dedicated to empowering people living in poverty.

If you were to describe this world to a child, which one of the following would you pick? It is home to magic, art, beauty, and tens of thousands of years of human talent.

Summary


The Microfinance Business Analyst, BIHBV will be responsible for collecting, organizing, analyzing, and interpreting data to inform data-driven decision-making on financial inclusion, service delivery, and organizational culture; enabling BI MF to better tailor their products and services to their diverse client bases; to use data to understand client behaviour, poverty profiles, and characteristics; and understand the risk associated with certain sub-segments of borrowers - with an aim to serve clients with previously excluded profiles.

S/he will work with both organized data sources/data warehouses as well as large sets of unorganized data.

Embedded within the BI MF operations and technical team, this position will work closely with the IT teams (central and country) to provide predictive and exploratory data insights in a consumable way.


Key Responsibilities:
Collect and process data from various sources, including management information systems (MIS) or Core banking systems (CBS), data warehouses and other client assessment tools/surveys

Organize, clean and analyze data to identify trends and patterns, and provide insights to improve operational efficiencies and inform strategic decision-making.

Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to loan disbursement, repayment, portfolio quality, and risk management.

Develop and maintain dashboards and reports to track key performance indicators (KPIs) along BI MF's strategic priority areas - social performance and impact, product innovation, digitization, talent management etc.

Collaborate with microfinance operations and technical teams to identify areas for improvement and develop data-driven solutions to address operational challenges.

Develop and implement data quality standards to ensure the accuracy and consistency of data.
Work with IT teams to develop and maintain data systems, including data warehouses and database design.

Train microfinance operations teams on data analysis tools and techniques to improve data literacy and culture of data use across the organization.

Any other ad hoc reports and data needs that may arise from the business

Safeguarding Responsibilities:

Ensure the safety of team members from any harm, abuse, neglect, harassment and exploitation to achieve the programme's goals on safeguarding implementation.

Act as a key source of support, guidance and expertise on safeguarding for establishing a safe working environment.

Practice, promote and endorse the issues of safeguarding policy among team members and ensure the implementation of safeguarding standards in every course of action.

Follow the safeguarding reporting procedure in case any reportable incident takes place, encourage others to do so.

Requirements

Educational & Experience :
Bachelor's degree in a related field such as finance, economics, or data analytics. Master's degree in a related field preferred
Certifications in data analysis tools (SQL, Python, or R etc.) or visualization tools (Qlik, Power BI, Tableau etc.)

Required Competencies:

The ideal candidate should be able to work with large datasets and have a strong understanding of microfinance operations, including microfinance operations performance, client segmentation, client impact, risk analysis etc with at least 2-3 years' work experience.

Familiarity with microfinance management information systems (MIS) or Core Banking Systems (such as Temenos T24).

Experience with Any Relational Database Managment System, cloud-based data storage and analysis platforms such as AWS or Google Cloud.

Experience with machine learning and predictive modelling techniques.
Experience with data mining and text analytics.
Experience with Statistical tools/softwares.
Proficiency in data analysis tools such as SQL, Python, or R.
Proficiency in statistical tools such as STATA, or SPSS.
Strong proficiency in data visualization tools such as Qlik, Tableau, or Power BI.
Strong understanding of data mart, lake and warehouse
Strong analytical and problem-solving skills.

Experience working with microfinance institutions and a strong understanding of microfinance operations, including loan management, client assessment, and risk analysis.

Excellent written and verbal communication skills.
Attention to detail and ability to work independently.
Knowledge of statistical techniques and concepts.
Ability to work with large datasets and complex data structures

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