
Shirley Llerena
@shirleyllerena
Data Analyst BI at Universidad Alfonso X el Sabio (UAX), who built enrollment and dropout analytics from three data sources.
What I'm looking for
At Universidad Alfonso X el Sabio (UAX), I held end-to-end ownership of recurring Finance and Sales BI reporting, developing and evolving Power BI solutions as business needs changed. I also built an enrollment and dropout solution from scratch, integrating three data sources and connecting commercial and academic dropout data.
I contributed to building the BI department from the ground up, helping define its processes, protocols, and reporting standards. Earlier, at Piaui Comunicación Política, I designed and maintained Power BI dashboards and analyzed social listening data to support communication strategies and decision-making.
Experience
Work history, roles, and key accomplishments
Data Analyst BI
Universidad Alfonso X el Sabio (UAX)
Jul 2022 - Present (4 years 3 months)
Develop Business Intelligence solutions across multiple business areas, translating complex requirements into actionable reporting for managers, senior leadership, and operational teams. I joined the BI team during its early stages and contributed to building the department from the ground up, helping define processes, protocols, and reporting standards.
I held end-to-end ownership of recurring B
Data Analyst / BI
Piaui Comunicación Política
Jan 2020 - Jan 2022 (2 years)
• Designed and maintained Power BI dashboards for data-driven communication and strategic analysis.
• Processed and analyzed data from social listening platforms to identify trends, audience behavior, and relevant conversation patterns.
• Transformed raw data into reports and actionable insights to support communication strategies and decision-making.
• Conducted social media and audience an
Education
Degrees, certifications, and relevant coursework
ESIC Business & Marketing School
Master’s Degree, Big Data and Business Intelligence
2020 - 2021
Master’s degree focused on Big Data, Data Analytics, and the application of statistical and Machine Learning techniques to business problems.
Key areas included Python, R, SQL, data mining, predictive modeling, Machine Learning, NLP, sentiment analysis, and data visualization.
Academic projects included customer churn prediction, Bitcoin price prediction using LSTM and sentiment analysis, and so
Universidad San Francisco de Quito
Bachelor's Degree, International Relations
2013 - 2018
Developed a strong foundation in research, critical thinking, quantitative and qualitative analysis, and the interpretation of complex economic, political, and social contexts.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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