Business Analyst
Yas Digital Retail Tanzania
Job description
WE ARE RECRUITING DIGIBANK
• FINTECH
Let's grow together,
become our
BUSINESS ANALYST
(Woman or Man)
A Bachelor's degree in 1 to 3 years' experience in of
Conputec science! a hands on experience in data/BI by) Location: Dar es Saalam,
Statistics,Economoics, IT or analysis with demostrable Tanzania.
any relevant quantitative output (dashboard,automated
discipline. pipelines,analytical models.
Your Profile
• Strong analytical and problem-solving skills, with the ability to translate complex datasets into actionable business insights and
recommendations
• Advanced proficiency in data analysis and visualization tools (e.g., Excel, SQL, Power BI, Metabase), with experience designing
and maintaining interactive dashboards
• Solid experience writing and optimizing SQL queries to extract, transform, and validate data from multiple sources, including
operational systems and third-party platforms
• Experience in automating data workflows and reporting processes (e.g., Power Query, Python or similar tools), improving
efficiency and reducing manual intervention
• Strong understanding of business and operational metrics (sales, customer behavior, delivery performance) and their linkage to
financial outcomes (revenue, margins, cost-to-serve)
• Proven ability to support commercial and growth analysis, including cohort analysis, channel performance, retention trends, and
ROI modeling
• Experience implementing and maintaining data quality controls, including validation checks, anomaly detection, and ensuring
data integrity
• Highly organized with strong attention to detail, ensuring accuracy and reliability of data used for decision-making
• Proactive mindset with strong critical thinking, able to anticipate issues, identify trends, and propose data-driven solutions
• Fluency in English
Your challenges
• Translate strategic objectives into data-driven insights and analytical frameworks, ensuring alignment between business goals and
operational performance
• Monitor business performance and market trends through data analysis, identifying patterns, risks, and opportunities to support
decision making
• Support planning and forecasting processes by providing accurate, data-backed inputs and performance tracking across
departments
• Standardize and enhance reporting processes by developing scalable dashboards, structured datasets, and automated reports.
• Consolidate, clean, and validate data from multiple sources to ensure accuracy, consistency, and reliability for analysis
• Develop and maintain analytical models to support scenario analysis, business performance evaluation, and growth initiatives
• Track key performance indicators (KPIs) and cost drivers, identifying inefficiencies and opportunities for optimization
• Build a strong understanding of business drivers, including customer behavior, revenue streams, operational performance, and
unit economics
• Communicate insights effectively through clear data visualization and storytelling, enabling stakeholders to make informed
decisions
If this description fits you, grow with us.
Full advert (image):
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