Business Analytics Officer

Job Description

Title: Business Analytics Officer

Company Name: ASA

Vacancy: 1

Age: At least 35 years

Job Location: Dhaka

Salary: Negotiable

Experience:

Published: 2026-08-30

Application Deadline: 2026-09-15

Education:

Requirements:

Skills Required:

Additional Requirements:

• Age At least 35 years

• Minimum 3 years of progressive experience in business analytics, data analysis, or MIS reporting, preferably in microfinance, banking, or financial services.

• Demonstrated experience working with loan portfolio data, savings products, or core banking systems.

• Hands-on experience building dashboards and analytical reports for management.

Technical Skills

• Advanced Excel: pivot tables, Power Query, complex formulas, macros/VBA is an advantage.

• SQL: ability to write complex queries for data extraction and manipulation from relational databases.

• Statistical/Programming Tools: Proficiency in at least one of R, Python, Stata, SPSS, or similar for data analysis and modeling.

• Data Visualization: Strong proficiency in Power BI and/or Tableau; ability to design intuitive and interactive dashboards.

• Database/ETL Knowledge: Familiarity with data warehouse concepts, ETL processes, and relational database management systems (e.g., SQL Server, Oracle, MySQL).

• Machine Learning: Practical knowledge of regression, classification, clustering, decision trees, random forests, gradient boosting, and model evaluation metrics is strongly desired.

• Understanding of Microfinance KPIs: Knowledge of portfolio at risk (PAR), loan loss provisioning, write-off, repayment rate, operational self-sufficiency (OSS), financial self-sufficiency (FSS), and other industry metrics.

Core Competencies

• Analytical Thinking: Ability to break down complex business problems, analyze large datasets, and derive meaningful insights.

• Attention to Detail: High level of accuracy in data handling and reporting.

• Communication: Excellent written and verbal communication skills; ability to explain technical findings to non-technical audiences clearly and persuasively.

• Problem-Solving: Proactive in identifying issues and proposing data-driven solutions.

• Collaboration: Strong interpersonal skills and ability to work effectively with cross-functional teams.

• Time Management: Ability to manage multiple priorities and meet tight deadlines in a fast-paced environment.

• Integrity and Confidentiality: Demonstrated ability to handle sensitive financial and client data with discretion and professionalism.

• Adaptability: Willingness to learn new tools, techniques, and business processes.

About ASA: ASA is one of the largest and globally leading recognised microfinance institutions (MFIs) in Bangladesh. With over 3,000 branches nationwide, ASA serves millions of its members through micro-credit products, MSME loan products, savings products, client welfare fund services, and social activities. ASA operates a fully self-sustaining, donor-free model and is renowned for its in-house digital ecosystem—the ASA Microfinance Management System (AMMS)—which fully automates and is a real-time online system.

Job Context: The Business Analytics Officer is responsible for transforming raw operational, financial, and client data into actionable insights that support strategic and operational decision-making across ASA MFI. The role supports portfolio quality monitoring, business growth analysis, risk management, product development, and operational efficiency by developing robust reports, dashboards, and predictive models. The incumbent will work closely with the Assistant Director (Data Science & Business Analytics) and report to the Director (Finance & MIS) to ensure data-driven decisions align with institutional goals.

Key Responsibilities

1. Data Management and Analysis

• Extract, clean, transform, and integrate data from the core banking/MIS, loan portfolio system, savings module, client database, and other internal/external sources.

• Perform descriptive, diagnostic, predictive, and prescriptive analytics on microfinance operations.

• Maintain and improve data pipelines, data quality checks, and documentation of analytical processes.

2. Business Insights and Reporting

• Design, build, and maintain automated dashboards and periodic management reports (daily, weekly, monthly, quarterly, annual) using relevant tools such as Power BI, Tableau, Excel, or similar.

• Prepare high-quality analytical reports and presentations for senior management, board, regulators, and investors.

• Interpret data and translate findings into clear, concise, and actionable business recommendations.

• Conduct ad-hoc analyses to answer specific business questions from management or functional heads.

3. Predictive Modeling and Forecasting

• Develop and validate statistical and machine learning models to support financial and non-financial activities.

• Monitor model performance and recalibrate as necessary; document model methodology and results.

4. Cross-Functional Collaboration

• Partner with IT/MIS to ensure data architecture, data warehouse integrity, and data governance standards are maintained.

• Work with Finance, Operations, Risk, Internal Audit, HR, and Branch Management to understand data requirements and deliver relevant analytics.

• Assist in training branch and field staff on data literacy, dashboard usage, and basic data-driven decision-making.

• Support the Assistant Director (Data Science & Business Analytics) in preparing department strategies, budgets, and project plans related to analytics.

5. Continuous Improvement and Governance

• Ensure all analytics activities comply with ASA MFI data privacy, confidentiality, and regulatory requirements.

• Stay current with emerging analytics tools, techniques, and best practices in the microfinance sector.

• Recommend improvements to data collection processes, MIS functionality, and reporting frameworks.

• Document standard operating procedures (SOPs) for recurring analyses and reports.

• In addition, perform any other duties and responsibilities assigned by the Management or authority.

• The probationary period will be 1 (one) year long. After successfully completing the probationary period, the employee will be placed on the regular ASA pay scale.

• All admissible benefits like Contributory Provident Fund, Gratuity, Yearly Increment, Festival Allowance, Nabobarsha Allowance (Boishakhi), and Employee’s Group Benefit Fund, etc., after successful completion of a one-year probation period as per ASA rules and regulations.