Business Analyst

Key accountabilities/Main responsibilities:

  • Data Analysis and Reporting:
  • Collect, clean, and analyze data from internal and external sources, including sales, retail, finance, marketing, and operational data.
  • Develop dashboards, reports, and visualizations to monitor projects and business performance.
  • Analyze market research data to identify consumer trends, competitive dynamics, and new opportunities.
  • Analyze customer behaviors and purchasing patterns to identify opportunities for product innovation and market expansion.
  • Performance Monitoring:
  • Track and evaluate the performance of business strategies and growth initiatives.
  • Identify gaps and propose improvements.
  • Cross-functional Collaboration:
  • Work closely with Sales, Marketing, Supply Chain, and Finance teams to align data-driven insights with department goals.
  • Serve as a liaison between the business growth department and IT to optimize data systems and tools.
  • Project Management:
  • Support the execution of growth projects, ensuring alignment with business objectives and timelines.
  • Monitor project progress, measure success metrics, and prepare post-project analyses.
  • Perform predictive and statistical analysis using Python libraries (e.g., pandas, NumPy, SciPy) to guide strategic decision-making.

Assist in integrating data from multiple sources and create data pipelines using SQL and Python


Technical/Professional Qualifications:Bachelor’s degree in Business Administration, Economics, Data Science, or a related field.3-5 years of experience in a similar role, preferably in the FMCG.Proven experience in data analysis.Strong analytical skills, with the ability to translate market insights into actionable business plans.Strong knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, Plotly).Experience with Agile methodologies is a plus.Familiarity with data wrangling, data cleansing, and ETL processes.Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for data storage and processing.Experience with machine Learning and predictive modeling in Python is a plus.Solid experience with Python for data analysis, scripting, and automating tasks (familiarity with libraries such as Pandas, NumPy, Matplotlib, and scikit-learn).
تاريخ النشر: اليوم
الناشر: Wuzzuf .com
تاريخ النشر: اليوم
الناشر: Wuzzuf .com