Freelance Data Analyst Resume Template

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Freelance Data Analyst Resume Template

Freelance Data Analyst Resume

Address: [Your Address]

Phone: [Your Number]

LinkedIn: https://www.linkedin.com/in/your_own_profile

Professional Summary

Experienced freelance Data Analyst with over 5 years of expertise in transforming raw data into actionable business insights. Skilled in advanced analytics, predictive modeling, and interactive dashboards. Adept at understanding client needs and delivering innovative solutions. Technical proficiency in Python, SQL, Tableau, and Power BI.

Technical Skills

  • Data Analysis Tools: Python, R, Excel (Advanced), Power BI, Tableau

  • Databases: SQL, MySQL, PostgreSQL, Snowflake

  • Machine Learning: Scikit-learn, TensorFlow, Pandas, NumPy

  • Other Skills: Data cleaning, ETL processes, Statistical Modeling, A/B Testing

Professional Experience

Freelance Data Analyst

New York, NY
January 2051 – Present

  • Partnered with over 50 clients globally to design and execute data-driven strategies.

  • Analyzed e-commerce datasets, increasing conversion rates by 20% through advanced segmentation techniques.

  • Built automated ETL pipelines, saving clients an average of 15 hours of manual work per week.

  • Developed interactive dashboards in Tableau and Power BI for real-time tracking of KPIs.

  • Conducted advanced statistical analyses, including regression models, boosting forecast accuracy by 30%.

Data Analyst Intern

TechSphere Analytics – San Francisco, CA
July 2050 – December 2050

  • Processed datasets containing over 1 million records to prepare for business intelligence projects.

  • Built SQL queries to extract actionable insights for the marketing and sales teams.

  • Designed a Power BI dashboard for visualizing customer acquisition trends, improving reporting efficiency by 40%.

Education

Bachelor of Science in Data Science
University of California, Berkeley – Berkeley, CA
Graduated: June 2050

Certifications

  • Google Data Analytics Professional Certificate (2051)

  • Tableau Desktop Specialist (2051)

  • Advanced SQL for Data Analysts – DataCamp (2050)

Selected Projects

  • Customer Retention Model: Developed a machine learning model using Python to predict customer churn with 92% accuracy for a subscription-based business.

  • E-Commerce Sales Dashboard: Designed a Tableau dashboard to visualize sales and inventory metrics, driving a 25% improvement in inventory management.

  • Digital Marketing A/B Testing: Analyzed A/B test results for a global brand, leading to a 15% increase in ad engagement rates.

Languages

  • English: Fluent

  • Spanish: Intermediate

References

Available upon request.

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