Market Research & Business Intelligence Analyst at Yas Tanzania

Bachelor's degree in Information Technology, Computer Science, Economics, Statistics, Data Science, or a related field.

2 years of experience in market research, business intelligence, or data analytics within the financial services, mobile technology, or telecommunications sectors.

CORE RESPONSIBILITIES

• Conduct in-depth analysis of industry trends, consumer preferences, and competitors in the mobile financial services sector.
• Evaluate internal performance data and customer behaviour to generate actionable insights.
• Design and develop dashboards and reports tailored to the needs of different departments and stakeholders.
• Ensure high performance and fast load times for business intelligence tools and visualizations.
• Apply data science methods, including predictive modelling and machine learning, to identify market opportunities.
• Provide data-driven insights to support business strategy and decision-making.
• Work with marketing, product, and sales teams to align research goals with business needs.
• Track competitor moves, market shifts, and economic changes impacting growth.
• Prepare and deliver detailed reports and presentations to executives and key stakeholders.
• Maintain consistency, accuracy, and reliability in all data outputs.
• Monitor the performance of BI tools and recommend enhancements.
• Leverage analytics to improve product offerings and customer experience.
• Translate data into opportunities for innovation, efficiency, and market expansion.

CORE COMPETENCIES

• Proficiency in data science and scripting languages such as Python, R, or SQL for data manipulation, analysis, and reporting.
• Advanced proficiency in Microsoft Excel and other analytical tools.
• Strong analytical and problem-solving skills with attention to detail.
• Expertise in report and dashboard design, ensuring visual clarity, user-friendliness, and business alignment.
• Knowledge of statistical analysis and predictive modelling techniques.
• Familiarity with data wrangling, feature engineering, and model deployment.
• Strong understanding of machine learning algorithms.
• Excellent written and verbal communication skills.
• Strong project management skills.
• In-depth knowledge of mobile financial services industry trends, consumer behaviour, and regulatory environment.

If this description corresponds to you, grow with us by applying before July 15, 2025