• Manage the analysis and interpretation of online data across platforms, driving actionable insights to enhance e-commerce performance and conversion rates.• Lead user behavior analysis, identifying pain points and opportunities to optimize customer journeys.• Collaborate with cross-functional teams to develop and implement strategies for customer acquisition, retention, and revenue growth.• Develop A/B testing initiatives to improve landing page performance and streamline the checkout process, achieving measurable conversion rate optimization (CRO).• Translate complex data into clear, actionable recommendations for stakeholders, fostering alignment on goals and strategies.

• Provide SEO/SEM consultation, conversion optimization strategies, and web analytics insights for small business owners.• Develop custom BI reporting and dashboards to enable data-informed marketing decisions.• Deliver impactful solutions that enhance digital marketing performance and user engagement.

Leveraged data-driven insights to increase monthly revenue by improving on-page conversion rates, and coordinating a targeted content strategy to launch into eight new segments in the home services industry.- Utilized web analytics tools (e.g., Google Analytics) and A/B testing to identify opportunities for conversion optimization- Collaborated with the content team to develop and implement a data-informed content strategy, resulting in a significant expansion of market reachBoosted monthly organic traffic from 115K to 410K by conducting comprehensive data analysis on SEO factors and UX enhancements, informed by competitive research and user feedback, to optimize site performance and user experience.- Employed advanced SEO tools (e.g., SEMrush, Ahrefs) and web analytics platforms to identify high-potential keywords and uncover opportunities for improvement- Worked closely with the UX and development teams to implement data-backed UX changes, resulting in significant growth in organic traffic

Completed a comprehensive 500+ hour immersive training program, specializing in exploratory data analysis, machine learning models, and pattern recognition for large data sets in marketing contexts.- Developed proficiency in data analysis tools and programming languages (e.g., Python, SQL, Excel, Tableau, Power BI)- Gained hands-on experience in machine learning techniques (e.g., regression, classification, clustering, and recommendation systems) for predictive analytics and data-driven decision-making- Acquired skills in data preprocessing, feature engineering, and model evaluation to optimize marketing campaigns and strategies

Collaborated with SEO/PPC, design, and content teams to develop and implement a data-informed marketing strategy across multiple digital channels (websites, emails, blogs, and social networks), resulting in a 135% year-over-year revenue increase.- Utilized data analysis and visualization tools (e.g., Google Analytics, Excel, Tableau) to identify trends, opportunities, and areas for improvement in digital marketing campaigns- Employed a data-driven approach to optimize SEO/PPC efforts, content creation, and design elements, leading to enhanced customer engagement and conversions- Regularly monitored campaign performance and iterated on strategies, ensuring continuous growth and improvement

Conducted data-driven research and created compelling content for several high-traffic, consumer-centric websites, utilizing audience insights to maximize engagement and conversions.- Employed web analytics tools (e.g., Google Analytics, Adobe Analytics) and keyword research tools (e.g., Ahrefs, Moz) to identify trending topics, high-potential keywords, and audience preferences- Developed data-informed content strategies, tailoring content to target audience segments, optimizing for SEO, and enhancing user experience- Monitored content performance and engagement metrics to identify areas for improvement, iteratively optimizing content to drive growth and achieve marketing objectives

Conducted data-driven financial analysis for clients, created and edited technical documentation for employees, and developed marketing communications (email campaigns, landing pages, etc.), leveraging analytical tools and insights.