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Biniam NegasiBN
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Biniam Negasi

@biniamnegasi

Data Analyst with experience building Power BI dashboards and reporting systems for organizations and replace manual reporting in data cleaning.

Ethiopia
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What I'm looking for

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.

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

world food programme logoWP
Current

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 logoHU

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

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