A data analyst job involves collecting, processing, and analyzing data to help organizations make informed business decisions. They work with large datasets, statistical models, and visualization tools to uncover trends, monitor performance, and drive improvements. Their responsibilities include data cleaning, statistical analysis, creating visualizations, and generating reports

Responsibilities: • Analyze current and past trends in key performance indicators and report back to the team on a continuous basis. • Provide analytical support to our various teams by identifying key variables, distilling insights from data, and presenting findings and recommendations. • Provide actionable insights to management that help in strategic business planning. • Collaborate across teams, including operations, product, sales, and marketing to provide them with needed data. • Monitor business processes through the operational metrics across different platforms. • Develop hypotheses and investigate to find patterns and insights. • Explore new opportunities for improvement of sales, marketing, and operational performance. • Prepare weekly and monthly performance reports. • Propose, implement, and evaluate A/B tests to select improved marketing, website, and sales approaches. • Create and maintain data dashboards for monitoring performance. • Collect and integrate data from various sources. • Work with tech team to track new relevant metrics and events for future analysis. • Validate data and work with tech team to identify and correct incorrect data. • Create, develop, and maintain various studies and analyses related to pricing, costs, breakeven analysis, payback period, conversion rates, etc. • Excel financial modelling. • Conduct research and benchmarking analyses on the industry, competition, and customers. • Research software solutions and summarize for management the pros and cons of implementing them. Qualifications: • 4 to 5 years of experience in a data analyst position. • Bachelor’s degree in Engineering, Economics or Business Management. • Able to take initiative in exploring data and processes to find insights and areas of improvement. • Strong quantitative background preferably with experience handling data sets and using data visualization tools (Zoho Analytics, Power BI, Tableau, Google Data Studio, or similar). • Must be power Excel user, with analysis that is meticulous and presentable. • Familiarity with basic statistics concepts (correlations, significant sample sizes, etc) • Familiarity with Facebook Analytics, Google Analytics, Google Ads, Snapchat and TikTok ad managers is preferred. • Understanding of how UTMs and tracking work • Ability to present complex data in a concise and understandable way for other team members. • Capability to prioritize and deliver on multiple pieces of work without losing attention to detail. • Ability to quickly learn new skills and methodologies. • Familiarity with basic SQL or programming in general.

Interested candidates can send their CV to: careers@basma.com