Data Analyst Job BasiGo

  • Kenya
  • Permanent
  • Full-time
  • 20 hours ago
  • Collect, clean, and analyze operational, financial, and customer data to identify trends, patterns, and anomalies.
  • Produce regular and ad-hoc reports for internal teams (operations, finance, customer experience, engineering) to support data-driven decision making.
  • Build intuitive dashboards and visualizations that track KPIs according to departments or projects.
  • Partner with business units to define metrics, validate data, and turn analysis into actionable recommendations.
Support Model Development & Research
  • Assist the data science team in preparing datasets for machine learning models in areas such as credit scoring, predictive maintenance, route optimization, and driver behavior scoring.
  • Document data sources, assumptions, and model inputs for transparency and reproducibility.
Data Infrastructure & Quality
  • Work closely with engineering to ensure data pipelines are reliable, accurate, and scalable.
  • Validate and reconcile data from multiple systems (e.g., telematics, Jani digital fare collection, billing, CRM, financial systems).
  • Establish basic data quality checks and flag anomalies proactively.
Stakeholder Engagement
  • Act as a bridge between technical and non-technical teams, translating data findings into clear, actionable insights.
  • Support training sessions and workshops to build data literacy across the organization.
Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
  • 2-4 years of professional experience in data analysis or business intelligence.
  • Proficiency in SQL for data extraction and transformation.
  • Strong skills in Python (Pandas, NumPy, matplotlib/Seaborn/Plotly) or R for analysis and visualization.
  • Experience with BI/dashboarding tools (e.g., AWS QuickSight, Power BI, Tableau, Looker).
  • Solid understanding of data cleaning, statistical analysis, and basic machine learning concepts.
  • Familiarity with cloud platforms (AWS preferred) is an advantage.
  • Excellent communication skills with the ability to explain data insights to non-technical audiences.
  • Knowledge of the Kenyan public transport sector or fintech/mobility data is a plus.
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