Data Analyst with 3+ years in data interpretation, SQL, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Junior Data Analyst with 2 years of experience in interpreting complex datasets, formulating SQL queries, and engineering Power BI dashboards to drive decision-making. Proven ability to streamline reporting processes using Excel and VBA, achieving a 30% increase in efficiency. Eager to leverage analytical expertise and data science foundations to develop engaging educational content and enhance customer support quality for Gravity Engineering Services Pvt Ltd.
Lancaster University
MSc · Data Science
August 1, 2025 – June 30, 2026
National Polytechnic Douala
MSc · Mechanical Engineering
August 1, 2013 – June 30, 2018
University of Douala
BSc · Mathematics
August 1, 2012 – June 30, 2015
Guy's & St Thomas' NHS Foundation Trust
Junior Data Analyst
September 1, 2023 – Present
London, England, United Kingdom
ENEO (Renewable Energy of Cameroon)
Renewable Energy Operations Intern
July 1, 2022 – February 1, 2023
Douala, Littoral, Cameroon
Microsoft Fabric Data Engineer
Microsoft
June 1, 2026 – Present
Microsoft Azure DP-900
Microsoft
June 1, 2026 – Present
Business Intelligence Data Analyst
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans healthcare (NHS) and renewable energy, indicating adaptability to different industry contexts. Their academic pursuits in Data Science and Mechanical Engineering, coupled with practical experience, show a diverse skill set and a continuous learning mindset. The role as a Junior Data Analyst aligns well with the target role, and the breadth of skills in data analysis tools (SQL, Power BI, Excel, VBA) suggests a good fit for data-intensive environments. The ongoing MSc in Data Science further enhances their profile for a data-focused role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical skills, attention to detail, and a proactive approach to identifying performance anomalies and opportunities for improvement. Their experience in collaborating with engineering and operational teams, as well as interfacing with stakeholders, indicates good teamwork and communication skills. The ability to streamline processes and manage substantial datasets suggests a methodical and efficient work attitude.