Data Analyst

1 day ago

Lagos, Lagos, Nigeria Unified Payment Service Full time

DUTIES & RESPONSIBILITIES 

  • Collect, clean, and analyze large datasets to identify trends, patterns, and actionable insights.
  • Build, automate, and maintain dashboards and reports for business units to track KPIs and business performance.
  • Translate complex data findings into clear and concise narratives for non-technical stakeholders.
  • Work collaboratively with departments such as Product, Marketing, Risk, and Finance to understand data needs and deliver customized insights.
  • Conduct deep-dive analyses to support product development, customer behavior understanding, and operational improvements.
  • Assist in the design and implementation of data models to support forecasting, segmentation, and predictive analytics.
  • Ensure data accuracy and consistency across systems and support data governance efforts.
  • Monitor data quality and help resolve discrepancies in data reporting.
  • Stay current with industry trends, tools, and best practices in analytics, especially within fintech.
  • Support A/B testing, market segmentation, and campaign performance analysis.

REQUIREMENT 

Education 

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or related field.
  • A Master's degree in Business Analytics, Data Science, or related discipline is an advantage.

General Experience

  • Understanding of fintech business models and digital financial products is an added advantage.

Technical Skills

  • Proficiency in SQL for data querying and extraction.
  • Experience with data visualization tools (e.g., Power BI, Tableau, Looker).
  • Strong skills in Excel, and at least one programming language such as Python or R.
  • Understanding of relational databases, data structures, and ETL processes.
  • Knowledge of statistical analysis and data mining techniques.
  • Familiarity with A/B testing, cohort analysis, and time-series forecasting.

Certifications

  • Certifications such as Microsoft Certified: Data Analyst Associate, Google Data Analytics Professional Certificate, or equivalent are beneficial.

Experience

  • 4–6 years of experience in data analysis, business intelligence, or related roles, preferably in a fintech or technology-driven environment.

Soft Skills

  • Strong analytical and problem-solving skills.
  • Excellent communication skills with the ability to explain data insights to non-technical stakeholders.
  • Attention to detail and commitment to data accuracy.
  • Ability to manage multiple tasks and deliver within tight deadlines.
  • Collaborative mindset and ability to work in cross-functional teams.

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