OVERVIEW OF JOB

Choreograph, a WPP company, is looking for a dynamic, results-oriented Manager having 3 to 6 years of relevant experience with strong expertise in SQL, Visualization, Cloud, and Python to lead our Data Insights & Analytics team. This role will be key in driving data exploration, insights generation, and creating impactful reports for business decision-making. The ideal candidate will have proven experience in managing teams, excellent communication skills, and a deep understanding of the latest data technologies. Choreograph Analytics & Insights is a global team with centres of excellence in Western & Central Europe, North & South America, and Asia Pacific. The role would be based out of our Asia Pacific centre in Singapore and cover multiple markets across the region.

REQUIRED SKILLS:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Strong expertise in SQL for data manipulation and querying.
• Hands-on experience with data visualization tools (e.g., Power BI, Tableau, etc.).
• Experience in cloud platforms (AWS, Azure, Google Cloud).
• Proficiency in Python and its application in data analysis and automation.
• Solid understanding of programming concepts and techniques.
• Ability to generate insights from large datasets, providing actionable business intelligence.
• Excellent communication skills with the ability to present technical findings to non-technical audiences.
• Demonstrated ability to manage a team effectively and drive results.

REPORTING OF THE ROLE

This role reports to the Associate Director / Director level within Choreograph APAC Analytics & Insights [Delivery] team

RESPONSIBILITIES:

Lead and Manage Team: Oversee a team of data analysts/engineers, ensuring timely delivery of actionable insights, reports, and visualizations.
Data Exploration and Insights Generation: Drive the exploration of large datasets to identify trends, patterns, and actionable insights that support business strategies.
SQL & Database Management: Develop and optimize complex SQL queries to extract, manipulate, and analyze data from various sources.
Data Visualization: Design and develop visual reports and dashboards to provide clear insights and enable data-driven decisions. Expertise in tools like Power BI, Tableau, or other visualization platforms is required.
Cloud Technologies: Leverage cloud platforms (e.g., AWS, Azure, Google Cloud) to store, process, and analyze data, ensuring scalability and cost efficiency.
Python Programming: Apply Python for data wrangling, statistical analysis, and automation of data pipelines.
Communication & Reporting: Present findings to stakeholders through clear, concise, and impactful presentations. Ensure complex insights are translated into business-relevant recommendations.
Process Improvement: Continuously evaluate and improve processes, identifying opportunities to enhance the efficiency and impact of the data team.
Stakeholder Management: Act as a bridge between technical and non-technical teams to ensure alignment on business objectives and data requirements.