Guliestina Kusi Addai
@guliestinakusiaddai
Tech-savvy Data Analyst specializing in SaaS analytics and automation.
What I'm looking for
I am a tech-savvy Data Analyst with a strong background in SaaS analytics and business process automation. My experience includes extracting actionable insights from complex datasets to optimize software performance, user adoption, and operational efficiency. I excel in predictive modeling, data visualization, and automating workflows to support digital transformation and data-driven decision-making in fast-paced tech environments.
Currently, I am serving as a National Service Personnel at Ghana National Petroleum Cooperation, where I maintain documentation of processes related to data analysis and develop dashboards with Power BI to monitor key performance indicators. My previous internship at mNotify allowed me to build a functional human resource management system and create interactive dashboards that improved decision-making for senior management. I am passionate about leveraging data to drive business success and continuously seek opportunities to enhance my skills and contribute to impactful projects.
Experience
Work history, roles, and key accomplishments
National Service Personnel
Ghana National Petroleum Cooperation
Nov 2024 - Present (10 months)
Maintained documentation of processes related to Data Analysis and performed data entry, cleaning, and coding for analysis. Developed dashboards with Power BI to monitor key performance indicators and built visualizations for quick interpretation of complex analysis results.
Data Analyst Intern
MNotify
Jun 2022 - Aug 2023 (1 year 2 months)
Built a management system using PHP and Laravel and helped maintain applicant tracking systems and recruiting metrics. Wrote and submitted reports on industry trends, prompting managers to develop business plans.
Education
Degrees, certifications, and relevant coursework
Knutsford University College
Bachelor of Science, Information Technology
2020 -
Studied Information Technology with a focus on data structures, Python, and Power BI. Gained foundational knowledge in IT principles and practical skills in data analysis tools.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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