Marketing Analytics Specialist
Binance
Date: 2 weeks ago
City: Remote
Contract type: Full time
Remote
We are seeking a highly analytical and data-driven Marketing Analytics Specialist to join our dynamic marketing team. The ideal candidate will possess strong analytical skills and a deep understanding of digital marketing channels. This role will involve drawing insights from various data sources, implementing projects based on these insights, and collaborating with multiple stakeholders to craft effective go-to-market strategies.
Key Responsibilities:
Key Responsibilities:
- Data Analysis and Interpretation:
- Utilize strong analytical skills to interpret complex data sets and generate actionable insights.
- Proficiency in SQL to query databases and extract relevant data for analysis.
- Digital Marketing Expertise:
- Possess a deep understanding of various digital marketing channels.
- Familiarity with tools such as Google Analytics, SimilarWeb, App Annie, Data.ai , and social listening tools to monitor and analyze marketing performance.
- Insights Generation:
- Draw insights from dashboards and metrics to inform business decisions.
- Translate data findings into strategic recommendations for marketing initiatives.
- Project Implementation:
- Based on insights, implement projects and craft go-to-market strategies in collaboration with global marketing teams, local marketing teams, and data analytics teams.
- Ensure alignment and effective communication among all stakeholders.
- Proactively identify gaps in business metrics and user behavior trends.
- Set up necessary infrastructure to alert business leaders about emerging trends and patterns.
- Bachelor’s degree in Marketing, Business, Data Science, or a related field;
- Proven experience in a data analysis role, preferably within digital marketing;
- Strong proficiency in SQL and experience with data visualization tools;
- Deep understanding of digital marketing channels and associated analytics tools;
- Excellent communication and collaboration skills to work effectively with cross-functional teams;
- Ability to translate complex data into clear and actionable business insights;
- Proactive and self-motivated with a keen eye for detail.
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