PR/158232 | Senior Data Analyst / Data Scientist (Flexible Working)

‍Data Extraction and Analysis:

• Collect, clean, and analyze large datasets related to operations, commerce, user behaviors, retention, operational efficiencies, user experience, employee experience, redundancies, and more.

• Utilize statistical methods and tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics.

Commercial and Non-Commercial Insights:

• Focus on commercial data (marketing, sales) to provide insights on customer acquisition, retention, revenue growth, and market trends.

• Analyze non-commercial data (operations, maintenance, customer advocacy, inventory) to identify areas for operational improvements and efficiency gains.

Reporting and Visualization:

• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to management and stakeholders.

• Present complex information in a clear and concise manner, making data accessible and understandable to non-technical team members.

Industry and Market Analysis:

• Gather and analyze industry data to understand market dynamics, competitor performance, and external factors affecting the business.

• Use external data sources to augment internal data, providing a comprehensive view that aids in strategic planning and decision-making.

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

• Minimum 3 years of experience in data analysis, business intelligence, or a similar role.

• Proficiency in data analysis tools and languages such as SQL, Python, R, and experience with data visualisation tools like Tableau or Power BI.

• Familiarity with data warehousing concepts and ETL processes.

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