Independent Data Analyst

Experience 

• Data Analysis Process Management:

  • Lead the end-to-end data analysis process, including data collection, cleaning, manipulation, and analysis.

  • Employ both quantitative and qualitative analysis methods to derive actionable insights from diverse data sets.

• Advanced Excel and Google Workspace Proficiency:

  • Utilize advanced features of MS Excel and Google Sheets for complex data modeling, analysis, and visualization tasks.

  • Develop and maintain dynamic dashboards and reports to track key metrics and trends.

• Data Visualization and Business Intelligence:

  • Designed and implemented interactive data visualizations using Tableau and Power BI to communicate findings to stakeholders effectively.

  • Create custom reports and dashboards that provide clear and actionable insights to support decision-making.

• Coding and Customization:

  • Customize and automate data analysis tasks using Python within PyCharm environment, enhancing efficiency and accuracy.

  • Develop scripts and tools to streamline data workflows and processes.

• Integrating Generative AI Solutions:

  • Leverage OpenAI's APIs, including ChatGPT, to integrate generative AI solutions into data analysis projects, enhancing capabilities and offering innovative solutions.

  • Stay abreast of advancements in AI and machine learning to continuously improve data analysis methodologies.

• Research and Context Analysis:

  • Conduct thorough context analysis to understand the data within its broader context, ensuring that insights are relevant and actionable.

  • Perform in-depth research to complement data findings and provide a comprehensive view of the subject matter.

• Reporting and Communication:

  • Generate detailed reports and presentations that summarize findings, methodologies, and recommendations in a clear and concise manner.

  • Communicate complex data concepts and findings to non-technical stakeholders, ensuring clarity and actionable insights.

• Project Management and Collaboration:

  • Manage data analysis projects independently, ensuring timely delivery and high-quality outputs.

  • Collaborate with cross-functional teams to gather requirements, share insights, and integrate feedback into data analysis projects.

• Continuous Learning and Development:

  • Engage in continuous learning to stay updated with the latest data analysis tools, techniques, and best practices.

  • Participate in professional development opportunities to enhance technical skills and industry knowledge.

• Ethics and Compliance:

  • Adhere to ethical guidelines and best practices in data handling, ensuring privacy and confidentiality of sensitive information.

  • Ensure compliance with relevant regulations and standards in data analysis and reporting activities.