Part-time remote Data Analyst (15–20 hrs/week). Power BI dashboards, reporting automation, data cleaning, and Python (Pandas). Background in NGO and private-sector analytics. Based in Addis Ababa (UTC+3) — overlaps with EU and US East Coast hours. Async-friendly, independent, and delivery-focused. Rate: $20–30/hr.
Biniam Negasi
@biniamnegasi
Data Analyst with experience building Power BI dashboards and reporting systems for organizations and replace manual reporting in data cleaning.
What I'm looking for
I'm a data analyst based in Addis Ababa with a Computer Science degree and hands-on experience delivering analytics across both the NGO and private sectors. My core work has been turning raw, messy data into clean dashboards and structured reports that leadership can actually use to make decisions — not just look at. My toolkit: Power BI and Excel for visualization and reporting, Python (Pandas) for data wrangling and automation, and statistics for analysis. I've built dashboards that replaced manual weekly reporting workflows, standardized datasets to improve data reliability, and delivered insights used directly in operational and program decisions. SQL is in active development — I solve intermediate problems daily on StrataScratch. I work remotely and asynchronously. I'm comfortable with Notion, Slack, and Loom, and I structure my work around clear deliverables and regular written updates so clients always know where things stand. If your team needs clean data, reliable dashboards, or a reporting system that actually gets used — let's talk.
Experience
Work history, roles, and key accomplishments
Data Analysit
world food programme
Nov 2023 - Present (2 years 5 months)
Delivered data analytics and business intelligence work across reporting, dashboards, and data quality projects.
Education
Degrees, certifications, and relevant coursework
Hawassa University
Bachelor of Science in Computer Engineering, Computer Engineering
2014 - 2019
Grade: 3.65
BSc in Computer Engineering with a focus on data systems, programming, and applied statistics. Coursework included database management, algorithms, Python programming, and statistical analysis — forming the technical foundation for my current work in data analytics and business intelligence.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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