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Jessica Wrubel

Frontend Power BI Developer with foundational experience in data analytics and visualization. Proficient in Power BI, Python, and SQL, eager to contribute to building interactive dashboards and reports to support business decision-making—strong analytical skills with a focus on delivering actionable insights.

 

Data analytics specialist with expertise in predictive analytics, data visualization, and machine learning. 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.

 

Power BI Dashboard Creation | Data Visualization | SQL | DAX | Python | Data Modeling | Report Optimization | Interactive Dashboards | Stakeholder Collaboration

  • 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.

  • Relevant Courses: Data Visualization, SQL, Power BI, Predictive Analytics, Business Intelligence.

  • HubSpot Dashboard (Certified)

  • Google Analytics & Google Ads Search

Technical Proficiencies

●Programming Languages: Python, R, SQL, HTML5, CSS.

●Business Intelligence & Analytics Tools: Power BI, Tableau, Microsoft Office 365, SPSS.

●Marketing & CRM Tools: Adobe Creative Suite, Marketo, HubSpot, Salesforce, Constant Contact.

●Social Media & Digital Marketing Platforms: Facebook, Instagram, TikTok, Twitter, Hootsuite, MailChimp.Focused on developing interactive dashboards and optimizing report performance using Power BI.

 

Gained hands-on experience connecting data sources and creating clear, actionable visualizations to support decision-making.

EMPLOYMENT 

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Owner & DirectorRazzi 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 DirectorNortheast Regional Folk Alliance (NERFA) | August 2018 - PRESENT 

●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

 

Relevant Courses: Data Visualization, SQL, Power BI, Predictive Analytics, Business Intelligence.

 

December 2022 Master of Science (MS) in Digital Marketing & AnalyticsSt. 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 Bootcamp, Bryant UniversityAugust 2024 – December 2004

KEY PROJECTS

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.

 

Additional Information

 

● Portfolio & Case Studies: Available upon request, featuring in-depth projects on data analytics, visualization, and strategic digital marketing.

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