Executive, Data Analytics

Executive, Data Analytics

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

1. 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.
2. 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.
3. Data Visualization:
   • Create data marts and 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.
5. 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.
6. 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

1. 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.
2. 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

1. 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.
2. 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.