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A leading company in the F&B industry seeks a Data Analyst to enhance data capabilities and support strategic decision-making across regions. The role involves advanced data analysis, visualization using Power BI, and collaboration with various teams to optimize operational efficiency. Candidates should have at least five years of experience, proficiency in Python and data engineering skills. Join us to leverage insights and foster a culture of innovation!
1. Foster a collaborative and innovative team culture to drive excellence in data analysis.
2. Evaluate large data sets with advanced statistical methods (like Azure Machine Learning) to model predictive results.
3. Maximise data capabilities by building data lakes and historical analysis and ensuring data integrity and security for analytics, exploration, and characterisation.
4. Research and continuous development of algorithms to predict sales and customer behaviours using real time Point of Sales, CRM and ERP and other unstructured data sources.
5. Develop downstream analytics solutions for Operations, Finance and Marketing through using data visualisation tools such as Power BI to assist business in KPI tracking, automate/improve processes.
6. Able to extract insights and employ best-in-class data visualisation and analytics practices to enable effective decision making.
7. Test the solution with real live data & present the results and provide strategic recommendations to senior management.
8. Define and monitor key performance indicators (KPIs) for the Data Team.
9. Regularly assess and report on team performance, identifying areas for improvement and implementing corrective actions.
10. Work closely with key stakeholders across all departments to create valuable reports and further drive data driven business decisions.
11. This is a regional role and support for all markets is expected.
Job Requirements:
1. Bachelor’s Degree in computer science or engineering or equivalent with minimum 5 years of working experience preferably in the F&B Industry.
2. Having other related professional certificates in Data Analytic is an advantage
3. Demonstrate proficiency in analysing data, assessing situations, and providing strategic recommendations.
4. Knowledge and hands-on experience in Python are advantageous, particularly for data manipulation, analysis, and applying machine learning techniques.
5. Proficient in using Power BI, including development of interactive dashboards and reports.
6. Skilled in DAX (Data Analysis Expressions) and M Query (Power Query Formula Language) for building complex calculations and data transformations in Power BI.
7. Experience with Power BI Row-Level Security (RLS) to manage data access based on user roles is highly preferable.
8. Proven experience in troubleshooting and problem resolution. Exhibit expertise in diagnosing and resolving issues promptly.
9. Possess strong technical skills in data engineering and analytics, including experience with ETL processes, data integration workflows, and data architecture best practices to support scalable analytics solutions.
10. Demonstrate strong leadership qualities, including the ability to motivate and lead a team towards success.
11. Possessing outstanding communication proficiency in both written and verbal forms, with the ability to present complex information in a clear and understandable manner.
12. Previous experience in using Business Intelligence tools or equivalent.
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