Data Analyst analyzing product and marketing performance for innovative EdTech company. Supporting cross-functional teams with actionable data insights to enhance growth.
Responsibilities
Analyze product data to identify trends, patterns, and opportunities for product improvement and innovation
Evaluate marketing campaign performance, providing insights into effectiveness and ROI
Develop and maintain dashboards and reports to track key performance indicators (KPIs) for both product and marketing teams
Extract, clean, and manipulate data from various sources to ensure accuracy and integrity
Conduct A/B testing and other experimental designs to optimize product features and marketing strategies
Collaborate with product managers and marketing teams to understand their data needs and deliver actionable insights
Perform customer segmentation analysis to better understand user behavior and target marketing efforts
Provide data-driven recommendations to enhance user experience and increase customer engagement
Utilize statistical methods and tools to identify and predict trends in product usage and market response
Communicate findings and insights clearly and effectively to stakeholders through presentations, reports, and visualizations
Stay updated with the latest trends and best practices in product and marketing analytics.
Requirements
Bachelor’s degree in Data Science, Statistics, Marketing, Business, or a related field
Master’s degree preferred
Proven experience as a Data Analyst, with a focus on both product and marketing analytics
Proficiency in data analysis tools and languages such as Python, R, or similar
Experience with data visualization tools (e.g., Tableau, Power BI)
Strong understanding of statistical analysis, A/B testing, and experimental design
Familiarity with marketing analytics platforms (e.g., Google Analytics, Amplitude)
Excellent analytical and problem-solving skills
Strong communication skills with the ability to translate complex data into understandable insights
Experience with customer segmentation and predictive modeling is a plus.
Knowledge of product management tools and methodologies is a plus.
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