Responsibilities:
1. Own the entire lifecycle of data analytics projects, including planning, execution, monitoring, control, and closure.
2. Liaise with clients and internal stakeholders to identify and define project requirements, scope, and objectives, ensuring their needs are met as the project evolves.
3. Collaborate with operations teams to ensure seamless data collection and analysis.
4. Conduct comprehensive data analysis and interpretation to help our clients and internal stakeholders make data-driven decisions.
5. Present complex and detailed reports, clearly articulating findings, insights, and recommendations.
6. Leverage data analytics tools and software to interpret raw data and translate findings into actionable business insights.
7. Coordinate with different teams to implement data analytics solutions that align with client's business needs.
8. Ensure strict compliance with data privacy and protection guidelines.
Qualifications:
1. Excellent statistical and mathematical skills.
2. Proven experience in a predictive analytics/data analyst role.
3. Proficiency in Python or R for data manipulation and statistical modeling.
4. Proficiency with data visualization tools such as Tableau or Power BI.
5. Experience with SQL and knowledge of database structures.
6. Experience working with project management methodologies.
7. Strong knowledge of data analysis and predictive modeling techniques.
8. Strong problem-solving abilities.
9. Strong written and verbal communication skills in English.
10. Ability to communicate complex data insights in a clear and actionable manner.
11. Working knowledge of the Order-to-Cash and/or Source-to-Pay domains.
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