Vacancy title:
Data Analytics Officer

[Type: FULL_TIME, Industry: Banking, Category: Computer & IT]

Jobs at:
Mwanga Hakika Bank

Deadline of this Job:
Sunday, May 11 2025

Duty Station:
Dar es Salaam | Dar es Salaam | Tanzania

Summary
Date Posted: Sunday, May 4 2025, Base Salary: Not Disclosed

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JOB DETAILS:

Purpose of the Role

The Data Analytics Officer works collaboratively to analyze large volumes of financial, transactional, and customer data to provide insights that improve decision-making, optimize risk management, and support regulatory compliance. The Officer will also be responsible for studying market trends and making effective use of existing datasets to generate insights that enhance internal processes, increase product uptake, and improve the quality of services offered to customers.

This position is accountable for the proper use of data and reporting to support the business development initiatives of the bank.

Summary of Key Duties and Responsibilities

• Analyze customer behavior, loan performance, transaction patterns, and financial KPIs to support business growth and risk management strategies.
• Collaborate with teams across retail banking, risk, compliance, marketing, and finance to deliver actionable insights.
• Develop dashboards and reports for senior management and regulatory use, utilizing tools such as Power BI, Tableau, or Qlik.
• Support fraud detection, credit risk scoring, and customer segmentation initiatives through statistical analysis and predictive modeling.
• Clean, transform, and manage both structured and unstructured data from internal systems (e.g., core banking, CRM, credit bureau).
• Monitor trends and detect anomalies in large datasets related to deposits, lending, card usage, and the customer lifecycle.
• Assist in meeting data requirements for regulatory compliance (e.g., Basel norms, AML, KYC, IFRS 9).
• Lead market research and generate data-driven reports and insights related to competitors, customers, regulators, and strategic partners.
• Collaborate with cross-functional teams to promote a data-driven culture that enhances decision-making, productivity, and organizational effectiveness.
• Stay updated on industry trends and emerging technologies to identify new opportunities and strengthen MHBs competitive advantage through data analytics.

Qualifications

• Minimum of 3 years experience in a data analysis role, preferably within the banking or financial services industry.
• Bachelors degree in Statistics, Economics, Finance, Computer Science, or a related field.
• Strong skills in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau).
• Experience with programming languages such as Python, R, or SAS for statistical analysis and modeling.
• Solid understanding of banking products (e.g., loans, deposits, credit cards) and core financial metrics.
• Experience working with financial data warehouses or core banking systems (e.g., Flexcube, Finacle, Temenos).
• Project management certifications such as CAPM, PMP, or PRINCE2 will be an added advantage.
• Knowledge of credit risk modeling or fraud analytics is a strong plus.

Knowledge and Skills

• Strong attention to detail with the ability to prioritize tasks, meet tight deadlines, and deliver high-quality results.
• High levels of integrity, self-drive, leadership, and sound management skills.
• Strong analytical, interpersonal, and relationship-building abilities.
• Proficiency in computer applications such as Adobe Design Standard, Microsoft Word, Excel, PowerPoint, and web design/maintenance.
• Excellent networking, communication (written and spoken in both English and Swahili), and problem-solving skills.
• Strong presentation skills, goal-oriented mindset, and a commitment to quality.
• Flexibility and the ability to coach, mentor, and develop team members.

Work Hours: 8

Experience in Months: 36

Level of Education: bachelor degree

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