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Valeriia Yatsenko Data Analyst
[открыть контакты](см. выше в блоке «контактная информация») [открыть контакты](см. выше в блоке «контактная информация») Lviv, Ukraine

valeriia-yatsenko-9497a489 https://t.me/lerity Lerity12

Profile
Applying for a Data Analyst role because I love turning messy CRM/business data into clear, decision-ready insights.
Transitioning from 4+ years in SaaS (Sales/CX) gave me data hygiene and stakeholder communication. I’m proud that I
entered my first role with no domain experience and, within six months, was trusted to coordinate the LDR team and
manage its processes. Detail-oriented and disciplined; completed a photography course, reviving my piano practice.
English - Intermediate

Work experience
Data Analyst 2025
Extract, clean, and validate data from SQL/BigQuery, and spreadsheets; fix types,
• Kyiv, Ukraine
duplicates, and missing values.
Write basic–intermediate SQL to build analysis-ready tables.
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Run EDA and descriptive stats; surface trends, anomalies, and data quality issues with
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clear notes.
Create clear charts and small dashboards (Looker Studio/Tableau or
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Matplotlib/Seaborn).

Lead Generation Manager / Sales Development Representative, PromoRepublic Ukraine 2019 – 2024
Outbound cadences (email/LinkedIn)
• Lviv, Ukraine
ICP research, qualification (BANT)
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CRM (HubSpot, Pipedrive, SalesForce, Outreach.io )
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Email & deliverability
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Lead scoring
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LDR team work management
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Segmentation
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Customer Experience Specialist, Setapp (MacPaw) 2020 – 2021
Intercom
• Kyiv, Ukraine
Email & deliverability
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Lead scoring
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Communications with clients
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Contact search
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Email validation
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Portfolio
A/B Test Significance Automation (Python + Tableau) Global Sales Analysis (Google Sheets)
Built a Python script to calculate A/B test significance Analyzed multi-year sales data across products, regions,
using a two-proportion Z-test.Automated conversion, and channels, identified trends, and provided actionable
lift, and p-value calculations, then visualized statistically recommendations. (link )
significant metrics in Tableau.(link )
E-commerce Overview
Sales Analysis (Python) E-commerce analytics project using SQL, Python &
Performed data cleaning, exploratory analysis, and Tableau: cleaned BigQuery data, analyzed sales, and
visualizations, summarized in a concise final report. visualized key insights by region, device, and channel.
(link ) (link )
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 Skills
Spreadsheets SQL Python Tableau
Pivot Tables, Data Queries, Window Pandas, NumPy, Interactive Dashboards,
Cleaning, Visualization Functions, Query Matplotlib, Seaborn, Data Storytelling,
Optimization, Common Exploratory Data Analysis Publishing
Statistics Table Expressions (CTE) (EDA)
Sampling, Hypothesis Outreach tooling
Testing, Correlation, A/B Testing CRM & Sales Ops Sales Navigator, Apollo,
Statistical Significance Planning, Analysis, Pipeline management, Lusha, ZoomInfo, Hunter,
Reporting activity logging, Lemlist, Reply, Outreach,
Outbound prospecting reports/dashboards, data Salesloft, PhantomBuster
Multi-channel cadences ICP/BP research management (HubSpot /
(email + LinkedIn), Client portrait, account Pipedrive / Salesforce) List building &
personalization research, qualification. enrichment
Email & deliverability Contact search, email
Other Tools Languages A/B testing of topics, validation, lead scoring,
Jupyter Notebooks, Excel, English (Intermediate) open/response tracking, segmentation.
Git, Intercom basic deliverability.

Education
Philosophy Master's Degree - Tarasa Shevchenko National University 2018 – 2020
Kyiv, Ukraine

Culturology Bachelor's Degree - Tarasa Shevchenko National University 2012 – 2016
Kyiv, Ukraine

Languages
English Ukrainian
Intermediate Native

Interests
Photo Music Sports

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