Olha

OLHA
HRIDINA
Data Analyst

Data Analyst building end-to-end analytical systems: from raw data pipelines to
Contacts decision-ready dashboards.
I design structured, scalable analytics environments that replace хаос with a single
[відкрити контакти](див. вище в блоці «контактна інформація»)
source of truth and turn reporting into a real-time decision-making tool, analyzing
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large datasets, identifying patterns and trends, and supporting data-driven
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business and product decisions.
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I independently deliver complex solutions combining data engineering,
Valencia, Spain
transformation logic, and BI, reducing manual work and enabling faster, more
confident business decisions.
Hard Skills My background in legal leadership and business operations brings a strong layer of
Analytics & Business: critical thinking, ownership, and risk-aware decision-making - allowing me to not
• Product Analytics just analyze data, but deeply understand business context, challenge assumptions,
• Marketing Analytics and build analytics that truly drive decision-making.
• Revenue & Margin Analysis
• Financial Modeling Project Experience
• KPI & Performance Analysis
End-to-End Financial & Operational Analytics System
• Forecasting & Scenario Planning
• Independently built full analytical ecosystem combining multiple data sources,
• Funnel / Cohort Analysis
structured datasets, automation, and Tableau dashboards.
• Unit Economics
• Delivered real-time visibility into revenue, margin, utilisation, workload, and
Tools & Tech:
capacity.
• SQL (PostgreSQL, BigQuery)
• Reduced reporting time and improved decision speed for management.
• Tableau
Media Source Performance & Growth Analytics
• Python
• Built performance analytics model for paid traffic sources across multiple
• Looker Studio
GEOs and acquisition channels.
• Google Sheets / Excel
• Analyzed ROAS, CPS, profit, scale opportunities, underperforming segments,
• Jira
and budget reallocation scenarios.
• CRM Systems
• Delivered growth recommendations based on profitability and traffic quality.
Data Engineering & Automation:
Category & Clickstream Performance Dashboard
• Data Modeling
• Built interactive dashboard analyzing traffic distribution across countries,
• ETL / ELT Pipelines
parent/child categories, and click trends.
• API Integrations
• Enabled segmentation of high-performing categories and geographic demand
• Google Apps Script
patterns.
• Workflow Automation (Zapier /
• Supported product / marketing prioritization decisions.
Make logic)
Partner Traffic & ROI Analytics System
• Data Validation & Monitoring
• Developed partner efficiency model measuring clicks, revenue, conversion
Other:
quality, CPL, ROI, and source performance.
• GA4
• Identified top / weak partners using comparative benchmarking.
• Amplitude
• Improved partner allocation strategy and traffic quality control.
• A/B Testing
Recruitment Analytics System

Soft Skills • Built end-to-end hiring analytics system with custom funnel logic and time-in-
status tracking.
• Improved hiring visibility, bottleneck detection, and reporting consistency.
• Adaptability & Fast Learning
• Reduced manual reporting by ~60%.
• Critical Thinking
Cost & Resource Analytics (Jira-based)
• Analytical Thinking
• Built automated models using Jira data for cost-per-hire, bug cost, delivery
• Initiative & Ownership
capacity, and workload tracking.
• Team Collaboration
• Automated processing of large task volumes and improved operational
transparency.
Languages Work Experience
Financial Analyst
English - Upper-Intermediate (B2) DashDevs (2025 – Present)
• Built financial, operational, product, and partner analytics systems from
Ukrainian - Native
scratch for internal teams and external stakeholders.
• Delivered end-to-end solutions: data extraction, SQL querying, cleaning,
Education transformation, validation, dashboarding, and business recommendations.
• Worked with SQL (PostgreSQL / BigQuery): complex joins, CTEs, window
IT School GoIT
functions, aggregations, KPI logic, and optimization of analytical queries to
Data Analysis (with distinction)
improve performance, reduce processing time, and lower resource
Apr - Sept 2025
consumption.
Kyiv University of Economics • Used Python for automation, API-based data collection, reconciliations, file
and Law processing, and recurring reporting workflows.
Master’s degree in Law • Built Tableau dashboards for revenue, margin, utilisation, workload,
2002 - 2007 forecasting, capacity planning, and delivery efficiency.
• Developed partner / marketing analytics models covering traffic quality, ROI,
CPL, ROAS, CPS, GEO performance, scaling opportunities, and budget
reallocation.
• Designed category / clickstream dashboards to identify demand trends,
segment performance, and monetization opportunities.
• Automated reporting pipelines combining SQL sources, spreadsheets, APIs,
and BI tools, significantly reducing manual work and improving data reliability.
• Built forecasting, scenario planning, and financial models in Google Sheets /
Excel using advanced formulas, pivot tables, and linked datasets.
• Implemented KPI monitoring and anomaly detection for faster response to
business changes.
• Partnered with finance, delivery, sales, operations, and leadership teams to
turn business needs into actionable analytics solutions.

Data Analyst
Security Expert Group (2024-2025)
• Collected, cleaned, and structured data from multiple sources (SQL, Excel,
Google Sheets, APIs) for business and financial analysis.
• Built and maintained dashboards (Tableau / Google Sheets) to track
performance, revenue-related metrics, and operational KPIs.
• Analyzed business and operational data to support decision-making across
departments.
• Monitored key KPIs and identified trends, inefficiencies, and growth
opportunities.
• Supported ad-hoc analysis and collaborated with teams to improve processes
and reporting.

International Legal Counsel & Operations Director
RHEMA BEAUTY (2022-2025)
• Led financial and operational setup across multiple countries.
• Built KPI frameworks and reporting logic for business tracking.
• Introduced risk assessment frameworks, improving control over financial and
operational risks.
• Structured processes that later enabled scalable analytics systems.

Head of Legal
RHEMA Ukraine (2018 – 2025)
• Led legal and operational processes across retail, e-commerce, and
international operations.
• Built structured documentation and risk frameworks - improving process
clarity and auditability.
• Coordinated cross-functional workflows, laying the foundation for data
structuring, tracking logic, and scalable analytics.