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Data Analyst

3 months ago


Lagos, Nigeria Taeillo Full time

Job Summary

  • In this role, you will be responsible for collecting, processing, and analyzing data to help drive informed decisions across various departments.
  • Your insights will play a critical role in shaping our strategy, improving customer experiences, and enhancing operational efficiency.

Key Responsibilities
Data Collection & Management:

  • Gather and process data from various internal and external sources.
  • Maintain and update data sets to ensure accuracy and completeness.
  • Collaborate with different departments to identify data needs and ensure the collection of relevant data points.

Data Analysis:

  • Analyze large datasets to identify trends, patterns, and insights that can influence business decisions.
  • Conduct exploratory data analysis to uncover hidden insights.
  • Use statistical methods to interpret data and generate actionable recommendations.

Reporting & Visualization:

  • Create and present comprehensive reports and visualizations that communicate data findings to stakeholders.
  • Develop and maintain dashboards that provide real-time insights into key performance indicators KPIs.
  • Translate complex data into understandable and actionable insights for non-technical stakeholders.

Data-driven Decision Making:

  • Work closely with marketing, sales, and product teams to provide data-driven recommendations.
  • Support the development and optimization of business strategies by providing data-backed insights.
  • Monitor and evaluate the performance of campaigns, products, and operational processes using data.

Qualifications

  • Bachelor’s Degree in Data Science, Statistics, Mathematics, Economics, or a related field.
  • Proven experience as a Data Analyst or in a similar analytical role.
  • Proficiency in data analysis tools such as SQL, Python, R, or Excel.
  • Experience with data visualization tools like Tableau, Power BI, or similar.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to present data insights clearly to various stakeholders.

Preferred Qualifications:

  • Experience in the furniture, retail, or e-commerce industry.
  • Knowledge of statistical analysis and modeling techniques.
  • Familiarity with customer segmentation and predictive analytics.

What We Offer

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • A dynamic and creative work environment.
  • The chance to be part of a company that is redefining furniture and lifestyle in Africa.