Job Purpose
As an Executive, Data Analytics, your role will be pivotal in supporting data-driven decision-making processes and delivering valuable insights to support strategic initiatives. You will support in implementing Artificial Intelligence / Machine Learning (AI/ML), leveraging on data to enhance advertising strategies, improve ROI, and contribute to the organisational's growth.
Please note that the incumbent will be hired on a 1 + 1 year contract.
Responsibilities
The duties and responsibilities are listed below. The list is not comprehensive and related duties and responsibilities may be assigned from time to time.
- Data Analysis and Insights:
- Conduct in-depth data analysis to identify trends, patterns, and actionable insights from advertising campaigns.
- Perform a market-based assessment and execute new go-to-market strategies in the field.
- Campaign Optimization:
- Collaborate with marketing and sales teams to optimize campaign performance through data-driven strategies.
- A/B testing and experimentation to improve ad creative, targeting, and messaging.
- Streamline and drive process improvements for operational excellence
- Data Visualization:
- Create data marts, visually appealing and informative data visualizations to communicate findings and insights effectively.
- Develop and maintain dashboards and reports to track key performance metrics and provide actionable recommendations.
- Drive end-to-end data projects; identify issues, gather information from various sources, analyse huge data, interpret patterns and trends, build models, give recommendations, and create insightful automated reports.
4 . Artificial Intelligence / Machine Learning (AI/ML)
- Support and implement machine learning models and algorithms.
- Collect, preprocess, and analyze data to train and evaluate AI models.
- Support the building of predictive models to forecast advertising campaign outcomes and customer behavior.
- Collaborate with data engineers to integrate AI solutions into applications and products.
- Test and validate AI models and algorithms to ensure accuracy and reliability.
- Data Quality and Integrity:
- Ensure data accuracy and integrity by cleaning, transforming, and validating data from various sources.
- Support data mining and forensic review for completeness & accuracy.
- Reporting and Documentation:
- Prepare and present regular reports and documentation to internal stakeholders and clients.
- Be a steward of good data practices robust documentation, process and knowledge sharing.
Qualifications & Work Experience
- Qualifications:
- Bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Marketing Analytics preferred.
- Proven experience as a data analyst or similar role in advertising, research or consulting industry will be beneficial.
- Strong analytical thinking and problem-solving skills.
- Excellent written and verbal communication skills.
Attention to detail and a commitment to data accuracy.
- Work Experience:
- Minimum of 1-3 years of relevant work experience in data analysis preferred. Experience in the advertising, research or consulting industry will be a plus.
- Demonstrated experience in leveraging data to drive advertising campaign success.
- Track record of creating actionable insights and contributing to campaign optimization.
- Experience with client-facing roles or presenting data-driven insights to clients is a plus.
Skills
- Technical Abilities:
- Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
- Experience with data preprocessing, feature engineering, and model evaluation.
- Strong experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of statistical analysis and modeling techniques.
- Experience with data warehousing and ETL (Extract, Transform and Load) processes.
- Understanding of A/B testing methodologies and experimentation.
- Knowledge of machine learning algorithms is a plus.
- Team Dynamics Abilities:
- Strong communication skills to effectively convey data insights to both technical and non-technical stakeholders.
- Collaborative mindset to work closely with cross-functional teams such as marketing, advertising, and IT.
- Problem-solving skills to address complex data-related challenges.
- Ability to mentor and provide guidance to junior data analysts.
- Adaptability to work in a dynamic and fast-paced advertising environment.
