Contact information

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You can get this candidate's contact information from https://www.work.ua/resumes/11273990/

Work experience

Assistant Head of Department

from 08.2020 to now (5 years)
Meest International, Львів (Транспорт, логістика)

•Communicate and keep in touch with company's partners (report, consult)
•Maintain cooperation with diverse suppliers to provide department by necessary products
•Count bonus system (KPI) department's employees
•Create customs declarations (CN23, CP87, CN16)
•Work with internal documentation of company
•Arrange company parties and teambuilding for our crew

Analyst

from 01.2018 to now (7 years 7 months)
Meest International, Львів (Транспорт, логістика)

•Analyzed export and import indicators (month, annual)
•Worked with data and graphics of meest B2B system (company's software)
•Counted dynamic values, created uncomplicated dashboards in Excel
•Forecast indicators of return, reject and purchasing
•Worked with client base in 1-C Enterprise

Education

Lviv Polytechnic National University

Marketing & Logistic, Львів
Higher, from 2013 to 2015 (2 years)

Additional education and certificates

Digital marketing and e-commerce by Google

2024, 4 місяці
Certificate

Training SEO course by Diia

2024, 1 місяць
Certificate

Knowledge and skills

• Google Analytics
• Google Search Console
• Serpstat
• SEO
• MS Excel
• Oracle SQL Developer
• Google Ads
• Google Keyword Planner
• 1С:Підприємство
• Netpeak Spider
• SEMrush
• Dolphin Anty
• Meta ads
• Facebook Ads Manager

Language proficiencies

• Ukrainian — fluent
• English — average
• Russian — advanced

Additional information

Experience with:

- Google Ads (create ads, work with keyword planner, analyze metrics)
- Meta Ads (create ads, AB testing, launch traffic, leads, sell and app promotion, analyze metrics and reports)
- Working with Anty Ditect browser, proxy, FB accounts, creatives
- SEO site audit (broken pages, redirects, duplicates, orphan pages, etc.)
- Semantic core collection and keyword clustering
- Competitor analysis based on search queries and their frequency
- On-page optimization (title, description, h1-h6, internal linking, URLs)
- Competitor backlink analysis using key metrics (DR, number of links)
- Writing content for websites