Looking for a job

Miriam Nganga

@miriamnganga

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Data analyst skilled in SQL, Python, Power BI, and dashboarding.

Kenya

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What I'm looking for

I seek a collaborative role where I can apply SQL, Python and BI tools to build ETL processes and dashboards, support data-driven decisions, and grow technical and business intelligence skills.

I am a data professional with hands-on experience in data collection, cleaning, analysis and dashboard development, gained through internships and project work. I have built ETL workflows, performed data validation, and created interactive dashboards using Power BI and Oracle Analytics to support data-driven decisions.

I combine technical skills in SQL, Python, SSIS and cloud tools with strong attention to detail and collaborative communication. I deliver repeatable analytics processes, documented data lineage and actionable reports to help stakeholders interpret insights and improve performance.

Experience

Work history, roles, and key accomplishments

Business Analysis Associate

Oracle

Sep 2024 - Dec 2024 (3 months)

Supported development of ETL workflows to consolidate customer data, performed validation checks to ensure reporting accuracy, and built interactive Oracle Analytics and Power BI dashboards with automated refreshes.

ETL Power BI Data Validation SQL Data Mapping Dashboard Development Data Lineage

Data Analysis Intern

ICT Authority

Dec 2023 - Aug 2024 (8 months)

Queried and updated datasets via SQL and SSIS, cleaned and transformed data using Excel/Power Query, and built Power BI dashboards and weekly/monthly reports to inform stakeholder decisions.

SQL SSIS Power BI Excel Power Query Data Cleaning Reporting

Education

Degrees, certifications, and relevant coursework

Dedan Kimathi University of Technology

Bachelor of Science, Business Information Technology

2019 - 2023

Grade: Second Class Honors - Upper Division

Completed a Bachelor of Science in Business Information Technology with Second Class Honors - Upper Division, focusing on information systems, data analysis, and business technology applications.