Freelance Data Analysts in Kyiv
Freelance Data Analysts in Kyiv
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Maksym Lazarevych
Kyiv, 02000
Marketing strategist turning data into revenue growth
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Marketing strategist turning data into revenue growth
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GA4 Attribution Framework — Demand Creation vs Demand Capture Analysis Developed a GA4-based attribution framework to separate demand creation from demand capture across channels. Mapped each channel’s business role (Organic, Paid Search, Performance Max, Direct, Referral) and translated attribution insights into concrete optimization actions — including where to scale, where to constrain spend, and which channels should be treated as structural. This framework helps service businesses avoid over-investing in demand-capture channels while underfunding true growth drivers.
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76
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Google Ads Lead Performance — 28-Day Snapshot (HVAC Services) Captured a 28-day Google Ads performance snapshot for an HVAC service business to evaluate lead generation efficiency and campaign structure. Key scope: • Reviewed campaign-level spend, conversions, and phone calls • Identified high- and low-performing campaigns based on cost per conversion • Highlighted optimization priorities for reducing wasted spend • Established baseline metrics for ongoing performance improvements Outcomes: • Clear visibility into lead efficiency across campaigns • Prioritized high-intent services for scaling • Actionable insights to improve cost per lead and call volume Tools: Google Ads, GA4, Looker Studio, Excel
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Shared Keyword Impact Analysis & Account Restructuring Framework Analyzed shared exact-match keywords across multiple Google Ads accounts to identify core revenue drivers, overlap inefficiencies, and attribution impact across 90–180 day windows. Built a tiered keyword framework (Core vs Support) and delivered structural campaign recommendations to consolidate ownership, eliminate internal competition, and improve conversion efficiency.
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74
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(2)
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Daniel
pro
Kyiv, 02000
Web & Visual Design · HTML/CSS · Documents
New to Contra
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Web & Visual Design · HTML/CSS · Documents
2
A clean-looking spreadsheet can still hide a broken record trail. For this synthetic cleanup concept, I used four small rows so every correction could be traced: — 2026-07-03 and Jul 03 2026 resolve to one duplicate — Excel serial 46208 resolves to 2026-07-05 — the formula error is repaired without changing the valid rows — source count, removed duplicate, and normalized output reconcile in the QA ledger The signature element is the checksum seam. It keeps the raw rows visibly connected to the normalized table, because cleanup should preserve provenance rather than replace messy data with an unexplained polished sheet. This is self-initiated concept work built with plausible synthetic data, not a client result. It demonstrates a small, reviewable before/after workflow for spreadsheet cleanup and data-quality checks. Case study: https://contra.com/p/E7q7lFF3-concept-traceable-spreadsheet-cleanup
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120
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Spec: Wholesale Coffee Sample Request UX
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Spec: Route-Ready Coach Quote UX
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Design-to-code handoff becomes fragile when the mapping disappears between the component and the browser. For this concept workflow, I kept the implementation evidence connected from source to output: — the component anatomy stays tied to semantic HTML — the 24 px spacing token becomes --space-6: 24px — the primary CTA remains a real <a href="#scope"> link — the same structure is checked at 1440, 1024, and 390 px The signature element is the mapping spine. It links each Figma decision to its DOM, CSS, and responsive proof, making the handoff inspectable instead of presenting a generic “design turns into code” montage. This is self-initiated concept work using synthetic content, not a client result. It demonstrates the evidence trail I use when translating a supplied Figma landing page into responsive HTML and CSS. Case study: https://contra.com/p/YA6oNr7l-concept-component-mapping-to-responsive-htmlcss
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35
Data Analyst
(1)
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Serhii Seroed
Kyiv, 02000
Automation & Web Dev Expert | Power BI Solutions
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Automation & Web Dev Expert | Power BI Solutions
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Power BI report for macroeconomic analysis of business segments
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47
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Automated Web Data Collection and Analysis System
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11
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Bee SPOT Investment Management System
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12
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Full Stack Website Development for Bee Investment Management Sys
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9
Data Analyst
(1)
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Maksym Semeniuk
Kyiv, 02000
Senior Full Stack AI developer
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Senior Full Stack AI developer
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AI Personalized Storybook Platform
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47
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AI-Powered Virtual Therapy Companion
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46
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Volve Product Website
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73
2
Food Network Kitchen
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65
Data Analyst
(1)
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Veronika Martyniuk
Kyiv, 02000
B2B Lead Generation | Web Research | Contact Research
New to Contra
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B2B Lead Generation | Web Research | Contact Research
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Early-Stage Startup & Founder Research
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3
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Researched and qualified U.S. federal employee organizations and local chapters, identifying key contacts, leadership, events, webinar and outreach opportunities. Verified public sources and organized all findings into a structured Excel database with concise fit notes.
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Researched and qualified founders of early-stage startups using verified sources. I analyzed founder roles, buyer authority, startup background, persona and segment fit, and organized the results into a structured Excel database with supporting evidence.
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Researched and qualified international e-commerce brands based on specific market and localization criteria. I identified relevant decision-makers, verified business emails, checked multilingual and market presence, and organized qualified prospects into a clean, structured Excel database.
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42
Data Analyst
(4)
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Serhii Ovcharenko
Ukrainka, 08720
Innovative Blockchain & Fullstack Engineer
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Innovative Blockchain & Fullstack Engineer
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Optix
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14
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Veil
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5
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AuthorWizard.ai
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6
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