Marketing Data Analyst Resume 1
MARKETING DATA ANALYST
Marketing Data Analyst
name@email.com
London, UK
Summary
Experienced Marketing Data Analyst with 6 years of expertise in leveraging data for effective marketing strategies. Skilled in SQL, Python, and statistical tools. Strong track record of identifying actionable insights and improving ROI by 15%. Proficient in market research and customer segmentation. Detail-oriented and analytical thinker, committed to delivering impactful analysis. Effective collaborator and problem solver.
Experience
Marketing Data Analyst
Facebook
2019 – 2021
London, UK
- Developed and implemented advanced data models and algorithms, resulting in a 20% increase in user engagement and a 15% improvement in conversion rates.
- Conducted in-depth customer segmentation analysis using demographic, behavioral, and psychographic data, leading to targeted marketing campaigns and a 25% increase in customer retention.
- Collaborated with cross-functional teams, including marketing managers and data scientists, to identify key performance metrics and develop actionable insights for campaign optimization.
- Created comprehensive reports and dashboards using data visualization tools, such as Tableau and Excel, to effectively communicate data-driven recommendations to stakeholders.
- Utilized SQL and Python for data extraction, cleaning, and manipulation, reducing data processing time by 30% and improving overall data accuracy.
- Implemented A/B testing methodologies to evaluate the impact of various marketing initiatives, resulting in a 10% uplift in click-through rates and a 12% increase in revenue.
Data Analyst
Walmart
2018 – 2019
London, UK
- Analyzed retail data sets, resulting in a 10% sales increase and inventory efficiency improvement.
- Developed predictive models, reducing out-of-stock instances and increasing on-shelf availability by 20%.
- Conducted customer segmentation analysis, leading to targeted marketing campaigns and 12% higher customer engagement.
- Collaborated with cross-functional teams to optimize product assortment and inventory allocation, reducing excess inventory by 8% and stockouts .
- Created dashboards and reports using Tableau and Power BI, facilitating data-driven decision-making.
- Utilized SQL and Python for data extraction, transformation, and analysis, improving efficiency and accuracy.
- Implemented A/B testing methodologies, resulting in a 10% conversion rate increase and higher customer satisfaction scores.
- Monitored key performance indicators, providing insights for process improvements and achieving a 10% reduction in operational costs.
Education
Bachelor of Science in Marketing
University of Bristol
2014 – 2017
Bristol, UK
Strengths
Problem-solving
Developing efficient solutions to complex data problems resulting in 30% increase in efficiency
Data-driven decision-making
Consistently utilizing data analysis to inform business decisions resulting in 20% increase in ROI
Skills
- Data analysis
- CRM management
- E-marketing
- Reporting
- Relational databases
- Excel
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