Jonas Kanevičius
@jonaskaneviius
Entry-level data analyst transforming raw data into actionable business insights with SQL, Python, and Tableau.
What I'm looking for
I am an entry-level data analyst with hands-on experience turning raw datasets into strategic insights using SQL, Python, R, and Tableau.
I have completed the Google Data Analytics Professional Certificate and delivered capstone projects analyzing large real-world datasets, including a 5M-ride Cyclistic case study and a 100K+ e-commerce transactions analysis using BigQuery.
My strengths include data cleaning, visualization, statistical analysis, RFM modeling, feature engineering, and communicating findings to drive decisions. I have applied these skills to recommend strategies for customer segmentation, membership growth, and operational efficiency.
Prior to focusing on data, I led teams as a bar manager, where I analyzed sales, forecasted inventory, managed budgets and staffing, and ran marketing initiatives—experience that enriches my business context and stakeholder communication.
Experience
Work history, roles, and key accomplishments
Bar Manager
Various Venues
Jan 2014 - Jan 2025 (11 years)
Managed operations, budgeting, hiring and scheduling while analyzing monthly sales and forecasting inventory to reduce waste and increase profit margins through optimized pricing and menu design.
Entry-level Data Analyst
Kaggle Portfolio
Performed analysis on large public datasets (e.g., 100K+ e-commerce transactions, ~5M bike-share rides) to derive actionable insights, build RFM models, and recommend strategies that improved customer segmentation and membership growth.
Education
Degrees, certifications, and relevant coursework
Coursera (Google Data Analytics Professional Certificate)
Professional Certificate, Data Analytics
Activities and societies: Relevant coursework: Data Preparation & Visualization, SQL, R Programming, Tableau, Statistics
Completed the Google Data Analytics Professional Certificate covering data preparation, visualization, SQL, R programming, Tableau, and statistics (completed Apr 2025).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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