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Tetiana Zhavryda

Offer Tetiana work on your next project.

Ukraine Vyshgorod, Ukraine
19 hours 7 minutes back
A little busy a little busy
on the service 6 months 21 days

Rating

Successful projects
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Average rating
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Rating
207
Data Processing
439 place out of 1480
Customer Support
357 place out of 2297

Language proficiency level

Українська Українська: fluent
Русский Русский: advanced
English English: upper-intermediate

CV

Data Analyst specializing in interactive Tableau dashboards.
I work with data from Excel, CSV, and Google Sheets.

I help structure data, calculate KPIs, and transform analytics into clear, actionable dashboards that support business and product decision-making. I am detail-oriented, results-focused, and always aim to deliver practical business value.

Skills and abilities

Portfolio


  • 226 USD

    Revenue & Users Overview Dashboard (Tableau)

    Databases & SQL
    Interactive Tableau dashboard for analyzing revenue and paid users dynamics.

    Helps understand what drives MRR growth: new users, expansion, or churn.
    The dashboard includes key financial and product metrics such as:
    MRR (Monthly Recurring Revenue)
    Paid Users
    New Paid Users & Churned Users
    Expansion & Contraction MRR
    Churn Rate & Revenue Churn Rate
    Customer Lifetime (LT)
    Customer Lifetime Value (LTV)

    The dashboard helps quickly assess product performance and can be used for product and financial decision-making.

    Data source: PostgreSQL
    Data extraction: SQL (DBeaver)
    Visualization: Tableau Public
  • 158 USD

    SaaS Revenue & Product Analytics Dashboard (Tableau)

    Databases & SQL
    Interactive Tableau dashboard for SaaS revenue and product analytics.

    The dashboard includes key financial and product metrics such as Total Revenue, New MRR, ARPPU, and Paid Users, with breakdowns by product, location, and time period. It helps evaluate product performance, revenue trends, and supports data-driven management decisions.

    Tableau, Excel / CSV
  • 113 USD

    User Conversion Funnel Dashboard (Tableau)

    Databases & SQL
    Dashboard for analyzing the user conversion funnel from registration to trial and payment.

    Includes calculated conversion rates, funnel visualization, and monthly trends. Designed to help product and marketing teams understand user behavior and optimize conversion performance.

    Tableau, Excel / CSV
  • 113 USD

    Delivery Performance Dashboard (Tableau)

    Databases & SQL
    Interactive dashboard for monitoring delivery and logistics performance.

    Includes key KPIs such as Sales, Profit, and Average Delivery Time, with comparisons by shipping mode, state, and time period. Supports operational analysis and performance optimization.

    Tableau, Excel / CSV
  • 113 USD

    User Engagement & Feature Adoption Dashboard (Tableau)

    Databases & SQL
    Dashboard for analyzing user engagement and feature adoption in a digital product.

    Shows unique users, Battle Pass adoption rate, average time spent per user, and engagement patterns by age group and time period. Helps product teams understand user behavior and feature usage.

    Tableau, Excel / CSV
  • 113 USD

    UA Armed Forces Aid Expense Analytics Dashboard (Tableau)

    Databases & SQL
    This project is an interactive Tableau dashboard based on real expense data related to aid provided to the Armed Forces of Ukraine from 2022 to 2026.

    The dashboard includes key financial KPIs such as total expenses, number of purchases, average purchase amount, and the largest single purchase. It also visualizes spending dynamics over time and expense distribution by categories.

    Users can filter data by year, date range, and expense category, enabling transparent analysis and data-driven decision-making.

    Tools: Tableau, calculated fields, KPI dashboards, filters, time-series analysis, data aggregation.
  • 68 USD

    Basic User Overview Dashboard (Tableau)

    Databases & SQL
    Simple Tableau dashboard showing user distribution by country, device type, and browser.

    Designed for basic user analytics, quick insights, and high-level reporting. Suitable for small datasets and basic analytics tasks.