Digital Marketing Data Analytics

Jessica Wrubel

Phone: 401-***-**** Email: ***********@*****.***

LinkedIn: linkedin.com/in/jessica-wrubel Projects: https://www.razziproductions.com/ Professional Summary

Data analytics specialist with predictive analytics, data visualization, and machine learning expertise. Proven skills in Python, Power BI, R, and Tableau to analyze complex datasets and generate insights that drive data-driven decision-making. Experienced in digital marketing analytics, strategic planning, and project management, with a background in managing cross-functional teams and implementing data solutions to improve client engagement and business outcomes. Core Skills

● Data Analytics & Predictive Modeling: Python, R, SPSS, Predictive Analytics, Machine Learning.

● Data Visualization & Business Intelligence: Power BI, Tableau, SQL, Excel, Advanced Data Visualization Techniques.

● Digital Marketing Analytics: Google Analytics, Marketing Metrics, SEO, SEM, Content Marketing, Buyer Behavior

● Statistical Analysis & Data Processing: Data Wrangling, Statistical Modeling, A/B Testing, Trend Analysis.

● Project Management & Strategic Planning: Budgeting, Contract Management, Stakeholder Collaboration, Reporting & Analysis.

Certifications

● Data Analytics Certification - Upright Education, Bryant University Completion of project-based boot camp focusing on data manipulation, visualization, predictive modeling, and machine learning techniques.

● HubSpot Dashboard (Certified)

● Google Analytics & Google Ads Search

Professional Experience

Digital Marketing Manager & Owner

Razzi Entertainment Providence, RI September 2006 - Present

● Analyzed client data using Python and R to identify trends, forecast outcomes, and develop tailored social media strategies, increasing client engagement.

● Created interactive data visualizations in Power BI and Tableau, translating complex datasets into actionable insights for clients.

● Developed predictive models to guide decision-making on event scheduling, social content planning, and promotional timing, resulting in a 15% increase in event engagement.

● Managed digital content, social media platforms, and promotional materials using Adobe Creative Suite, facilitating a cohesive brand presence.

Marketing Director

Northeast Regional Folk Alliance (NERFA) August 2018 - November 2022

● Implemented data-driven strategies by leveraging predictive analytics to optimize conference outreach, achieving a 20% growth in attendee engagement year-over-year.

● Power BI and Tableau were utilized for real-time data reporting, enhancing strategic planning and insight-sharing across departments.

● Conducted detailed social media and web metrics analysis, providing weekly insights to stakeholders using Python for data cleaning and analysis.

● Designed and managed a monthly email campaign using Constant Contact, tracking engagement metrics to optimize campaign performance.

Education

Master of Science (MS) in Digital Marketing & Analytics St. Edward's University Austin, TX

Relevant Coursework: Marketing Data Analytics, Buyer Behavior Analysis, Marketing Metrics, Model Building & Analysis, Social Media Analytics, Predictive Analytics. Data Analytics Certificate Bryant University December 2024

• Proficiently conducted data cleaning, transformation, and validation for big data points, ensuring data accuracy and reliability for analysis.

• Leveraged advanced statistical techniques such as gradient boosting, k-means clusters, and decision trees to identify trends, outliers, and anomalies, leading to strategic insights that directly impacted business strategies.

• Developed and maintained interactive dashboards and reports using tools like [mention specific tools, e.g., Tableau, Power BI], facilitating data-driven decision-making across cross-functional teams.

• Collaborated with a team of data analysts to define project scope and objectives to present

[comprehensive data analysis OR analytics] on [insert your project topic here]

• Communicated complex technical findings to non-technical stakeholders through clear and concise presentations, fostering a culture of data literacy within the organization. Skills: Languages: Python, SQL, R

Platforms: MongoDB, Power BI, Tableau, Google Data Studio, Advanced Excel, RStudio Competencies: Business Analysis, Data Manipulation, Data Cleaning, Machine Learning, Data Visualization, Predictive Modeling, Database Optimization, Data Story-Telling, Agile Methodologies Key Projects : https://www.razziproductions.com

● Customer Segmentation Analysis (Capstone Project) Data Analytics Bootcamp, Bryant University

Utilized Python and Power BI to perform customer segmentation, identifying target demographics for optimized marketing efforts.

Developed interactive Tableau dashboards for stakeholder presentations, translating analytical results into actionable marketing strategies.

● Predictive Churn Model

Built and tested predictive models in R to analyze customer churn probabilities, providing insights that supported a 25% improvement in customer retention.

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