Paid Marketing Analyst
Dive into the thrilling world of marketing analytics, collaborating with a talented crew of data enthusiasts.
- Be the wizard behind the numbers, crafting insights that shape strategic decisions.
- Work closely with cross-functional teams and take the lead in transforming raw data into actionable intelligence.
- If you're a curious, detail-oriented analytics ace with a passion for unraveling marketing mysteries, this is your ticket to make an impact and elevate your career!
Data Insight Generation: Dive into paid marketing data to extract actionable insights, driving strategic decisions and optimizing campaign performance.
Performance Analysis: Evaluate the effectiveness of paid marketing campaigns, identifying areas for improvement and growth opportunities.
Cross-Functional Collaboration: Collaborate with the Paid Marketing team, providing data-driven support for campaign planning, execution, and optimization.
KPI Tracking: Develop and maintain KPI dashboards, ensuring accurate and real-time tracking of key metrics.
Data Visualization: Create compelling visualizations and reports to communicate complex data findings in a clear and concise manner.
Experimentation and Testing: Design and implement A/B tests to refine marketing strategies and enhance overall performance.
Years of Experience: 1 year or recent graduates
Bachelor's Degree: on Applied Mathematics, statsitics, data science, computer science or similar
- Communication: Effective verbal and written communication skills to convey complex data insights to various stakeholders.
- Collaboration: Ability to work seamlessly within a team, fostering a collaborative and inclusive work environment.
- Adaptability: Flexibility to adapt to changing priorities and environments, thriving in a dynamic work setting.
- Critical Thinking: Strong critical thinking skills to analyze problems and develop innovative solutions.
- Curiosity: Inherent curiosity and a proactive approach to learning and staying updated on industry trends.
- Problem-Solving: A proactive problem-solving attitude to address challenges efficiently.
- Attention to Detail: Meticulous attention to detail to ensure accuracy in data analysis and reporting.
- SQL: SQL for data extraction, manipulation, and analysis.
- Python: Libraries for data manipulation and analysis such as Pandas, scikit-learn.
- Marketing Analytics: understanding of marketing concepts and metrics, with the ability to derive actionable insights. (this is a Plus)
- Microsoft Excel: experience using Excel for data analysis and reporting.
- Statistical Analysis: Basic understanding of statistical methods for analyzing data trends.
- Bachelor's Degree: Educational background in a relevant field such as Statistics, Mathematics, Business Analytics, or Marketing.
Spoken Languages: English is a must