Mwanga Hakika Bank Limited (MHB) is a fully-fledged Commercial Bank and 100% owned by local Tanzanians. We have an exciting opportunity for enthusiastic and committed individuals to join our dynamic and growing team in the following open vacancy.
\nPurpose of the Role
\nThe 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.
\nThis position is accountable for the proper use of data and reporting to support the business development initiatives of the bank.
\nSummary of Key Duties and Responsibilities
\n\u00b7 Analyze customer behavior, loan performance, transaction patterns, and financial KPIs to support business growth and risk management strategies.
\n\u00b7 Collaborate with teams across retail banking, risk, compliance, marketing, and finance to deliver actionable insights.
\n\u00b7 Develop dashboards and reports for senior management and regulatory use, utilizing tools such as Power BI, Tableau, or Qlik.
\n\u00b7 Support fraud detection, credit risk scoring, and customer segmentation initiatives through statistical analysis and predictive modeling.
\n\u00b7 Clean, transform, and manage both structured and unstructured data from internal systems (e.g., core banking, CRM, credit bureau).
\n\u00b7 Monitor trends and detect anomalies in large datasets related to deposits, lending, card usage, and the customer lifecycle.
\n\u00b7 Assist in meeting data requirements for regulatory compliance (e.g., Basel norms, AML, KYC, IFRS 9).
\n\u00b7 Lead market research and generate data-driven reports and insights related to competitors, customers, regulators, and strategic partners.
\n\u00b7 Collaborate with cross-functional teams to promote a data-driven culture that enhances decision-making, productivity, and organizational effectiveness.
\n\u00b7 Stay updated on industry trends and emerging technologies to identify new opportunities and strengthen MHBs competitive advantage through data analytics.
\nQualifications<\/p>\n
Minimum of 3 years experience in a data analysis role, preferably within the banking or financial services industry.
\nBachelors degree in Statistics, Economics, Finance, Computer Science, or a related field.
\nStrong skills in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau).
\nExperience with programming languages such as Python, R, or SAS for statistical analysis and modeling.
\nSolid understanding of banking products (e.g., loans, deposits, credit cards) and core financial metrics.
\nExperience working with financial data warehouses or core banking systems (e.g., Flexcube, Finacle, Temenos).
\nProject management certifications such as CAPM, PMP, or PRINCE2 will be an added advantage.
\nKnowledge of credit risk modeling or fraud analytics is a strong plus.<\/p>\n
Knowledge and Skills<\/p>\n
Strong attention to detail with the ability to prioritize tasks, meet tight deadlines, and deliver high-quality results.
\nHigh levels of integrity, self-drive, leadership, and sound management skills.
\nStrong analytical, interpersonal, and relationship-building abilities.
\nProficiency in computer applications such as Adobe Design Standard, Microsoft Word, Excel, PowerPoint, and web design\/maintenance.
\nExcellent networking, communication (written and spoken in both English and Swahili), and problem-solving skills.
\nStrong presentation skills, goal-oriented mindset, and a commitment to quality.
\nFlexibility and the ability to coach, mentor, and develop team members.<\/p>\n
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