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Data Analyst with 3+ years in SQL & Power BI, specializing in patient enrollment data and marketing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 3.5+ years of experience in data analysis, business intelligence, and digital marketing. Proficient in SQL, Power BI, and Python, with a strong background in extracting insights from complex datasets and automating reporting processes. Proven ability to improve efficiency in data management, analyze key metrics, and support strategic decision-making across various industries including clinical research and supply chain.
Institute of Business Administration (IBA)
Bachelors in Business Administration · Business Analytics & Marketing with minors in Supply Chain
N/A – June 30, 2022
Cedar College
A' levels
N/A – May 31, 2018
Shaikh Khalifa Bin Zayed College (DHACSS SKBZ)
O' levels
N/A – May 31, 2016
DM CLINICAL
Data Analyst
October 1, 2023 – Present
Karachi, Sindh, Pakistan
SAMA ENGINEERING
Project Trainee – Supply Chain
January 1, 2022 – June 1, 2022
Karachi, Sindh, Pakistan
DIAL DIGITAL
Digital Marketing Intern
November 1, 2021 – December 1, 2021
Karachi, Sindh, Pakistan
MAYA DIGITAL HEALTH
Marketing Intern
November 1, 2021 – January 1, 2022
Karachi, Sindh, Pakistan
Google Advanced Data Analytics Course
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from clinical data analysis to supply chain and digital marketing, suggests an adaptable individual. Their current role as a Data Analyst aligns well with the target role. However, the breadth of skills listed (R, Python, SQL, Power BI, MS Excel) is good, but the depth of application across all these in professional experience is not fully detailed, which could impact cultural fit for highly specialized teams without further validation.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, collaborative, leadership, critical thinking, time management, communication, and analysis skills through their project descriptions. Their experience in automating processes and handling ad-hoc requests suggests an operational fit for roles requiring efficiency and responsiveness. The diverse internship experiences also indicate adaptability.