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Data analyst

Considering positions:
Data analyst, Operation manager, Фінансовий аналітик
Employment type:
full-time
Age:
32 years
City:
Kyiv

Contact information

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Work experience

Дата-аналітик

from 11.2021 to now (4 years 8 months)
NDA, Київ (Маркетинг, реклама, PR)

Key Responsibilities:

Built and maintained marketing, financial, HR, and channel-level reports covering budget utilisation, ROI,
conversions, retention, and plan-fact analysis

Automated routine reporting workflows using Google Sheets, App Scripts, and Python — including
auto-data collection, calculated metrics, and text-based conclusions

Developed Telegram bots for real-time alerting on KPI deviations and funnel anomalies

Conducted competitor research and market analysis: traffic sources, pricing, SEO, digital presence, and
market positioning

Designed and developed new ad format specifications (Web/Dynamic Ratings)

Managed data pipeline: preparation, cleansing, structuring (importrange, query, arrayformula, complex
IF/IFS, filter)

Integrated multiple data sources, including CRM systems, BigQuery, and third-party databases

Worked with product analytics data tracked via the internal admin panel and the affiliate platform

Served as Team Lead for one of the traffic channel teams

Produced internal documentation, manuals, and knowledge bases for analytical processes

Media buyer

from 08.2021 to 11.2021 (4 months)
Techmedia4U, Київ (Маркетинг, реклама, PR)

Key Responsibilities:

Managed native advertising campaigns via Taboola and Facebook Ads

Bought traffic using CPC/CPM/Fixed models via advertising networks and direct webmaster purchases

Conducted A/B testing and optimised traffic sources for performance

Operated multi-account setups across platforms

Used tracking tools: Binom, Voluum; spy tools: Anstrex, AdPlexity

Managed total ad spend of ~$58K over 3 months, generating ~$36K in profit (ROI ~47%) across native
ad networks

Publisher Development Manager

from 10.2019 to 06.2021 (1 year 9 months)
AdsKeeper

Education

Київський національний університет ім. Тараса Шевченко

Юридичний, Київ
Higher, from 2011 to 2017 (6 years)

Additional education and certificates

2019, 2 місяці

Knowledge and skills

  • MS Excel
  • Google Sheets
  • SQL
  • Python
  • Looker Studio
  • Tableu
  • MS Power BI
  • App scripts

Language proficiencies

English — above average

Additional information

SUMMARY

Operations & Data Analyst with 6+ years of experience across digital marketing industries.
Skilled in building automated reporting systems, marketing and financial analytics, and translating raw data
into business decisions. Experienced in working across cross-functional teams and delivering insights to
C-level stakeholders. Combines a strong analytical mindset with hands-on expertise in process automation,
performance tracking, and data quality control. Detail-oriented, proactive, and comfortable operating in
fast-paced environments.

EXPERIENCE

Operations Manager / Data Analyst | NDA — Marketing | Dec 2021 – Present
Held an Operations Manager title with a strong focus on data analytics.

Responsible for end-to-end analytics infrastructure: from data collection and automation to reporting and strategic insights. Reports delivered
across 11 departments (SEO, Affiliate, Retention, Payment) and C-level — an audience of up to 100 people.

Coverage spans 8 regions, including LATAM, Asia, MENA, and Africa.

Key Responsibilities:

Built and maintained marketing, financial, HR, and channel-level reports covering budget utilisation, ROI,
conversions, retention, and plan-fact analysis

Automated routine reporting workflows using Google Sheets, App Scripts, and Python — including
auto-data collection, calculated metrics, and text-based conclusions

Developed Telegram bots for real-time alerting on KPI deviations and funnel anomalies

Conducted competitor research and market analysis: traffic sources, pricing, SEO, digital presence, and
market positioning

Designed and developed new ad format specifications (Web/Dynamic Ratings)

Managed data pipeline: preparation, cleansing, structuring (importrange, query, arrayformula, complex
IF/IFS, filter)

Integrated multiple data sources, including CRM systems, BigQuery, and third-party databases

Worked with product analytics data tracked via the internal admin panel and the affiliate platform

Served as Team Lead for one of the traffic channel teams

Produced internal documentation, manuals, and knowledge bases for analytical processes
Notable Achievements:

Grew from Operations Manager of a single local market to agency-wide Operations & Data Analyst,
covering 6 regions and 11 departments



Identified a $47,000 discrepancy in partner commission calculations through manual audit; scaled the
logic into the admin panel, generating $500K+ in annual savings
Built an automated funnel conversion analysis and alerting system in Python (fact vs expected model)
with Telegram bot output and visualisation dashboard
Transitioned team analytics toolstack from Google Sheets to Looker Studio and Python, improving reporting scalability and speed

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