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Hi, I’m Jonas Kanevičius—a freelance data analyst who loves turning messy data into clear, actionable insights. I build dashboards and predictive models that help teams make smarter decisions and ship better products. I specialize in SQL, Power BI, Tableau, Python, and Excel, connecting data from SQL Server, Shopify, Google Analytics, and more to uncover trends across logistics and e-commerce. I enjoy collaborating with product, marketing, and operations teams and documenting processes so insights are easy to follow.…Hi, I’m Jonas Kanevičius—a freelance data analyst who loves turning messy data into clear, actionable insights. I build dashboards and predictive models that help teams make smarter decisions and ship better products. I specialize in SQL, Power BI, Tableau, Python, and Excel, connecting data from SQL Server, Shopify, Google Analytics, and more to uncover trends across logistics and e-commerce. I enjoy collaborating with product, marketing, and operations teams and documenting processes so insights are easy to follow.

Jonas Kanevičius

Data Analyst, Data Scientist, Data Visualizer, +2

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Hi, I’m Jonas Kanevičius—a freelance data analyst who loves turning messy data into clear, actionable insights. I build dashboards and predictive models that help teams make smarter decisions and ship better products. I specialize in SQL, Power BI, Tableau, Python, and Excel, connecting data from SQL Server, Shopify, Google Analytics, and more to uncover trends across logistics and e-commerce. I enjoy collaborating with product, marketing, and operations teams and documenting processes so insights are easy to follow.…Hi, I’m Jonas Kanevičius—a freelance data analyst who loves turning messy data into clear, actionable insights. I build dashboards and predictive models that help teams make smarter decisions and ship better products. I specialize in SQL, Power BI, Tableau, Python, and Excel, connecting data from SQL Server, Shopify, Google Analytics, and more to uncover trends across logistics and e-commerce. I enjoy collaborating with product, marketing, and operations teams and documenting processes so insights are easy to follow.

Available to hire

Hi, I’m Jonas Kanevičius—a freelance data analyst who loves turning messy data into clear, actionable insights. I build dashboards and predictive models that help teams make smarter decisions and ship better products.

I specialize in SQL, Power BI, Tableau, Python, and Excel, connecting data from SQL Server, Shopify, Google Analytics, and more to uncover trends across logistics and e-commerce. I enjoy collaborating with product, marketing, and operations teams and documenting processes so insights are easy to follow.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Lithuanian

Fluent

English

Fluent

Work Experience

Freelance Data Analyst at Confidential Logistics & Delivery Client

April 20, 2025 - November 8, 2025

Developed interactive Power BI dashboards to track delivery KPIs across multiple regions. Integrated and cleaned 18 months of operational data from SQL Server, Excel, and third-party systems. Implemented predictive models using Python to forecast delivery delays, improving scheduling accuracy by 12%.

Freelance Data Analyst at Confidential E-commerce Client

January 20, 2025 - November 8, 2025

Consolidated and cleaned 12 months of sales and marketing data from Shopify, Google Analytics, and Meta Ads. Built Tableau dashboards tracking ROI, sales trends, and customer behavior. Identified product and channel insights that improved profit by 20%. Automated reporting workflows using SQL and Excel, saving 6 hours per week. Delivered documentation and trained marketing staff on dashboard usage.

Independent Portfolio Project – E-commerce Analysis (Olist Dataset) at Independent Portfolio Project

August 20, 2025 - November 8, 2025

Analyzed 100K behavior patterns. Built RFM model and conducted feature engineering to segment customers and recommend strategies to improve retention. Delivered insights on customer satisfaction, growth opportunities, and operational efficiency. Cleaned, transformed, and visualized data; identified trends to support targeted marketing. Recommended strategies to increase annual memberships and meet project goals.

Bar Manager / Bartender at Various Venues

December 31, 2014 - December 31, 2014

Analyzed monthly sales data to optimize pricing and menu design, increasing profit margins. Forecasted inventory needs, reducing waste and overstock by improving order planning. Managed budgets, hiring, staff scheduling, and marketing strategies to drive growth. Organized events and promotions based on customer insights and performance analysis.

Freelance Data Analyst at Confidential Logistics & Delivery Client

April 20, 2025 - April 20, 2025

Developed interactive Power BI dashboards to track delivery KPIs across multiple regions; integrated and cleaned 18 months of operational data from SQL Server, Excel, and third-party systems; implemented predictive models using Python to forecast delivery delays, improving scheduling accuracy by 12%; automated weekly reports and daily Power BI refreshes, reducing manual reporting time by 75%; trained staff to use dashboards independently and documented analytical processes.

Independent Portfolio Project

August 20, 2025 - November 8, 2025

Analyzed 100K behavioral patterns; built an RFM model and conducted feature engineering to segment customers and recommend strategies to improve retention; delivered insights on customer satisfaction, growth opportunities, and operational efficiency; analyzed bike-share data users; cleaned, transformed, and visualized data; identified trends to support targeted marketing; recommended strategies to increase annual memberships, meeting project goals.

Bar Manager/Bartender at Various Venues

December 31, 2014 - December 31, 2014

Managed bar operations across multiple venues, including hiring, staff scheduling, inventory management, and marketing initiatives to drive growth; coordinated events and promotions to increase footfall and revenue; ensured compliance with service standards and safety regulations.

Independent Portfolio Project at Self-Directed

August 20, 2025 - November 8, 2025

Remote: analyzed 100K behavior patterns. Built an RFM model and conducted feature engineering to segment customers and recommend strategies to improve retention. Delivered insights on customer satisfaction, growth opportunities, and operational efficiency. Analyzed bike-share data; cleaned, transformed, and visualized data; identified trends to support targeted marketing. Recommended strategies to increase annual memberships and meet project goals.