About the role:
The Senior Data Analyst will play a pivotal role in leveraging data-driven insights to support strategic decision-making across the organization. This role involves analyzing complex datasets, identifying trends and patterns, and providing actionable recommendations to improve business performance. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and the ability to communicate findings effectively to stakeholders at all levels.
Market Environment/Complexity
This role works closely with stakeholders and teams within D&T, Marketing, Planning & Innovation in a global capacity.
Role Responsibilities:
Data Analysis and Interpretation:
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- Analyze large datasets to identify key trends, patterns, and insights.
- Develop predictive models and algorithms to support business objectives.
- Interpret data findings and translate them into actionable recommendations.
Reporting and Visualization:
- Create comprehensive reports and dashboards to visualize data insights.
- Present findings to stakeholders using clear and concise visualizations.
- Ensure accuracy and integrity of data presented in reports.
Collaboration with Cross-functional Teams:
- Work closely with various departments (e.g., Marketing, Sales, Planning) to understand their data needs.
- Provide analytical support for cross-functional projects.
- Communicate effectively with non-technical stakeholders.
Data Quality Assurance:
- Implement processes for ensuring data quality and consistency.
- Identify data discrepancies and work on solutions to rectify them.
- Maintain documentation of data sources, methodologies, and analysis processes.
Continuous Improvement:
- Stay updated with industry trends and best practices in data analytics.(AI, LLM, Etc)
- Recommend improvements to existing data collection methods and tools.
- Mentor the team on the data.
Qualifications and Experience:
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Demonstrated ability in data analysis or a related role.
- Proficiency working with large datasets from various sources (e.g., SQL databases).
- Proficiency in statistical software (e.g., R, SAS) and programming languages (e.g., Python).
- Solid experience with data visualization tools (e.g., Tableau, Power BI, etc)
- Excellent problem-solving skills with a keen attention to detail.
- Communication skills with the ability to convey complex information clearly.
- Knowledge of AI, LLM and machine learning techniques is a plus.
Working with Us
Flexibility is key to success. From part-time and compressed hours to different locations our people work flexibly in ways to suit them. Talk to us about what flexibility means to you and we'll work together so that you're supported from day one.
We recognise and value performance, offering our people a highly competitive Rewards and Compensation package.
Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.
We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences and more.
Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world!
Feel inspired? Then this may be the opportunity for you!
If you require a reasonable adjustment, please ensure that you capture this information when you submit your application.