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Data Analyst with less than a year in Python, SQL, and Power BI for business insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Statistics graduate at Universitas Indonesia with a strong foundation in data analytics, software-oriented problem solving, and system-level thinking. Experienced in applying Python, SQL, Microsoft Power BI, Microsoft Excel, and statistical modeling to real-world datasets to generate business-relevant insights, including industry, trade, and user-behavior analysis. Proven ability to think beyond technical execution by translating analytical findings into strategic recommendations for decision-makers. Actively involved in cross-functional projects and leadership roles, demonstrating strong communication, collaboration, and initiative.
Cultural Fit Analysis
The candidate's involvement in various organizations and volunteering experiences, particularly in leadership and administrative roles, suggests a proactive and collaborative mindset. Projects like 'Topic-Level Sentiment Analysis' and 'Multi-Platform API Data Scraping' demonstrate initiative and a diverse skill set. The candidate's academic background in Statistics and practical experience in data analysis roles indicate a strong alignment with a data-driven culture. The breadth of skills and project diversity suggest a good cultural fit for roles requiring continuous learning and cross-functional engagement.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, communication, team collaboration, project management, attention to detail, adaptability, and business insight translation. These soft skills are crucial for a Data Analyst role, enabling effective collaboration and clear communication of insights to stakeholders. The candidate's experience in automating processes and ensuring data accuracy aligns well with operational efficiency requirements.