Business & Marketing Analyst, by way of Eldoret and Illinois.
Juliana turns marketing noise into a short list of decisions worth making. Trained in economics in Kenya, and in marketing analytics and data science in Illinois, she moves comfortably between an SPSS output and a stakeholder meeting — turning churn models, campaign KPIs, and search data into a plan a team can actually act on.
Seven tools she returns to most often — each one a different lens on the same question: what does the data actually tell us to do next?
Turning raw data into actionable insight that fuels strategic marketing decisions — distilling complex datasets into the trends that reveal customer behavior, campaign performance, and ROI.
SPSS expertise: detecting the patterns that drive data-backed marketing strategy with precision.
A results-driven approach to tracking digital campaigns across social, email, and PPC — continuously monitoring CTR, conversion rate, and engagement to optimize for maximum impact.
Mastering KPIs to fine-tune marketing efforts for stronger engagement and conversions.
A deep understanding of Google Analytics to track and analyze website traffic, user journeys, and campaign success — transformed into insightful, actionable reports and dashboards.
Proficient in building detailed, real-time performance reports that inform data-driven strategy.
Dissecting SEO and SEM performance to keep websites performing at their best — tracking organic search metrics and keyword rankings with tools like Google Search Console and SEMrush.
Harnessing search data to improve rankings and boost organic traffic.
Custom, visually engaging dashboards that showcase marketing performance clearly and compellingly, giving stakeholders at-a-glance insight to drive faster, better decisions.
Crafting data stories through interactive visualizations that make key metrics impossible to miss.
Leveraging predictive analytics to stay ahead of marketing trends — forecasting customer behavior and campaign outcomes so teams can stay proactive rather than reactive.
Predicting trends to empower forward-thinking marketing strategies.
A foundational, working knowledge of SQL to query databases, access key datasets, and support marketing insight with clean, reliable data analysis.
Blending marketing analytics and data science to craft unique brand identities for business decisions & growth — with a difference.
A working toolkit spanning statistics, visualization, and the everyday software of a modern analyst.
Analysis & Statistics
Tools & Delivery
Leadership & Involvement
Licenses & Certifications
A few projects that show how she moves from raw data to a decision someone can act on.
Chi-square segmentation & Random Forest
Analyzed bank customer churn data and identified six key variables linked to churn through chi-square tests. Using "Aggregate" and "Table" functions, studied averages and pair-wise frequencies to segment customers and flag at-risk groups. Random Forest emerged as the strongest model on accuracy and sensitivity — one banks can use to target retention offers toward high-value customer segments.
COVID-19 data across 32 countries
Built interactive scatter plots and bar graphs to surface trends in cases, infections, and deaths, with continent-based color coding, hover detail, and a filter slider that let users explore global and regional disparities for themselves.
Price, location & projected revenue
An in-depth analysis to identify the strongest investment opportunities for prospective Airbnb hosts in Seattle — weighing bedrooms, purchase price, zip code, and projected revenue to guide property selection toward the city's most promising areas.
Project 1 & a deeper data-analysis pass
Two Power BI builds: an initial dashboard project, followed by a deeper data-analysis pass turning the underlying dataset into a clearer, more decision-ready view.
Open to marketing analytics, business intelligence, and data-driven growth roles.
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