Iryna

Summary
[open contact info](look above in the "contact info" section) • [open contact info](look above in the "contact info" section)
Iryna Surikova [open contact info](look above in the "contact info" section) • Kyiv, Ukraine
https://github.com/hotaruis
Data Reporting Analyst
Detail-oriented analyst with 10+ years of experience in data quality and operations for
international teams. Expertise in data validation, process refinement, and timely data delivery.
Proficient in monitoring KPIs, conducting testing, and maintaining reporting standards across
diverse platforms. Skilled in interpreting complex datasets, training teams, and enhancing cross-
functional collaboration. Recognized for a methodical approach and clear communication,
simplifying system functions for end users. Open to remote or hybrid work formats.

Skills
Data Analysis Google Sheets / MS Excel (pivot tables, formulas, VBA), SQL (beginner), Tableau (beginner), Looker Studio
& Visualisation: (beginner), Google Apps Script (basic), Power BI (beginner), Spotfire
Additional: Arianna, Jira, Confluence, Tempo, PostgreSQL, SAP IQ, BigQuery, FileZilla, OKTA, ServiceNow, Amazon
Workspaces, Slack, Google Chat, Google Meet, Zoom, Zoho, Canva, ChatGPT, Claude, MindMeister
Hard Skills: Data Quality Control & Validation, Quality Assurance (QA) Processes, Root Cause Analysis, Data Integrity &
Consistency, User Acceptance Testing (UAT), Audit Preparation & Data Compliance, KPI Reporting, Data
Classification, Process Optimization, Vendor Data Maintenance, QC Survey, Prompt Engineering
Soft Skills: Attentive, Critical Thinking, Autonomous, Eager to learn

Project Experience
Marketing Performance Dashboard (SQL + Looker Studio)

Tools: SQL (PostgreSQL), Google Looker Studio
Description: Consolidated Facebook Ads and Google Ads data into a unified dataset to analyse marketing performance.
Built interactive dashboard with key KPIs (CPC, CPM, CTR, ROMI).
My tasks: Wrote SQL queries to merge campaign data, designed calculated metrics, created visualizations and filters.
Result: Provided a unified view of ad performance, making it easier to compare campaigns and track key metrics.
More projects.

Work Experience
PrivatBank, Dnipro, Ukraine
Data Quality Issue Manager (April 2026 – June 2026)

Tasks:
Investigated and managed data quality incidents across multiple business domains. Performed root cause analysis of data
quality issues by reviewing data flows, source systems, and business processes. Collaborated with business and technical
teams to define corrective actions and prevent recurring data quality problems. Validated data quality controls and
supported continuous improvement of enterprise data quality processes.

Nielsen Media, Kyiv, Ukraine | 2013 – 2025
Senior Quality Control Analyst (November 2022 – May 2025)

Tasks:
Diagnosed operational issues in the Saudi Arabia market to uncover root causes and propose sustainable solutions. Assessed
sample management and maintenance priorities to guide strategic data quality improvements. Recommended measurement
enhancements and procedural changes aligned with best practice standards. Analysed quality reports on an ongoing basis to
support quality assurance goals. Collaborated with KPI and governance leads to anticipate inefficiencies and define corrective
measures. Resolved classification-related queries and supported production task execution within reporting cycles.

Achievements:

 Designed a specialized report for tracking incorrect button usage and authored a step-by-step analysis procedure,
enabling faster behavioural issue detection and improved data accuracy.
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  Delivered targeted training for the quality control team (16+ team members) to standardize behavioural monitoring
practices, improving long-term consistency in panel data.
 Upgraded the Saudi auditor panel by transferring 126 households to the market panel over a two-month period,
enhancing the KSA INTAB (Inside tolerance and Bounds) and earning auditor recognition for quality assurance.
 Automated the generation and distribution of daily and weekly ad-hoc reports, as well as customized reports for
specific department staff. Configured scheduled email delivery to ensure each employee received the relevant
reports at the required time and day.
 Conducted comprehensive User Acceptance Testing (UAT) for ServiceNow features and prepared configuration
documentation, supporting a smooth rollout and improving workflow reliability.
 Automated daily report processing by creating a Google Apps Script that extracted email attachments and
uploaded them to Google Drive, increasing efficiency and cross-team accessibility.
 Led over 100 training sessions across 8 countries, aligning cross-functional teams on workflows, tools, and
standards to boost process consistency and operational performance.

Quality Control & Classification Specialist (August 2015 – November 2022)

Tasks:
Monitored data quality across Ireland, Sweden, and Denmark to ensure compliance with internal standards and client
expectations. Synthesised datasets from various sources to detect quality gaps and outliers. Coordinated characteristic
updates and responded to production alerts to safeguard data timelines. Liaised with helpdesks, regional operations
centres, and field teams to establish and execute QC priorities. Researched products, services, brands, and manufacturers
to classify advertising data, validating entries prior to database integration. Supported junior staff and facilitated ongoing
knowledge sharing.

Achievements:
 Reported critical data fault, coordinated with operations for rapid data reproduction, completed checks, and
ensured on-time delivery under SLA, successfully avoiding client impact and penalties.
 Delivered core services for the BARB UK tender by aligning operations with international standards and completing
technical readiness for new audience measurement tools.
 Transferred knowledge gained from BARB UK preparations to other global markets, improving process adaptability
and service delivery quality.
 Supported department expansion from 3 to 15 staff by actively mentoring colleagues and embedding process
knowledge, resulting in reduced errors and improved team output.

Education
Bachelor of Arts in Psychology
National Pedagogical Dragomanov University, 2004-2009, Kyiv, Ukraine

Data Analytics
IT school “GoIT”, June - December 2025, Ukraine

Awards & Recognition
‘Trust & Accountability’ Gold Nomination, Nielsen (2020)
Nominated “For the huge contribution to teamwork results, providing high quality checks and data for Sweden and
Ireland.”
Nielsen Bronze Award (2014)
Nominated “For exceptional efforts in checking data from the Technological Panel over the course of a year.”

Languages
English – Upper-Intermediate | Ukrainian – Native

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