Help & Supportcareers@gravityer.com
Senior Data Analysis with 3+ years in SQL, Python & ETL Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Senior Data Analyst with 2+ years of experience designing scalable data pipelines, performing advanced statistical analysis, and delivering high-impact insights across financial services, e-commerce, and commercial sectors. Proficient in SQL (MySQL, SQL Server, PostgreSQL) for complex data extraction and database optimization, and Python (Pandas, NumPy) for analytics, automation, and web scraping. Track record of analysing 10M+ record datasets, identifying $275K–$490K in revenue opportunities, and improving operational efficiency by 20% through data-driven recommendations. Adept at translating complex data into clear, actionable narratives for C-suite and non-technical stakeholders.
Cultural Fit Analysis
The candidate's project diversity across financial services, e-commerce, and market research indicates adaptability and a broad interest in different business domains. Their experience as a freelance consultant and in various data analyst roles aligns well with a dynamic, results-oriented environment. The breadth of skills in SQL, Python, ETL, and various visualization tools suggests a proactive approach to learning and applying new technologies. However, the relatively short tenure in some roles (e.g., AlterC Ltd, Bizdata Insights Ltd) might warrant further inquiry into long-term commitment and stability.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by their ability to identify revenue opportunities and improve operational efficiency. Their experience in collaborating with cross-functional teams suggests good teamwork and communication. The self-employed role indicates initiative and autonomy. However, the resume does not provide explicit details on stress handling or direct team collaboration dynamics beyond 'collaborated with cross-functional teams'.