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Β· 349 views Β· 22 applications Β· 11d
AI Engineer (ML, Data Science, Quant) in Machine Learning Team
Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 3 years of experience Β· English - B1Your expertise: High personal interest and self-development in AI / ML Experience in creating Production services as an ML Engineer Experience with Data Science and Quantitative Analysis activities. Will definitely be a plus: Experience with AI / ML...Your expertise:
- High personal interest and self-development in AI / ML
- Experience in creating Production services as an ML Engineer
- Experience with Data Science and Quantitative Analysis activities.
Will definitely be a plus:
- Experience with AI / ML services for marketing and sales: product recommendation, retention, customer segmentation, personalization, or others
- High personal interest in Quant, algorithmic strategies, Finance, DeFi
- Experience with creating and supporting algorithmic strategies, including their risk management
- Experience in systematically monitoring and evaluating the performance of AI/ML solutions with a set of KPIs
- Experience with Agentic AI: multi-agent systems, complex prompt engineering, LLM finetuning
- Experience with documenting solution architecture and experiment reports
- Experience with Research & Development projects
- Experience in AI / ML startups or personal pet projects
Whatβs in it for you?
- Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
- Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
- Decent market rate compensation depending on experience and skills
- Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
- Support of personal and professional development
- coverage of costs of external trainings, conferences, professional literature
- support of experienced colleagues
- in-house events and trainings
- regular knowledge sharing in teams
- English classes and speaking clubs
- Life-balance support
- 25 working days of vacation
- 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
- generous maternity leave program
- Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
You will be involved into:
- Perform extensive ML and Data Science research for new AI / ML solutions
- Develop new AI / ML solutions and participate in the architecture definition
- Support and upgrade current AI / ML solutions used in Production
About the company and project:
ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today, Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 16 million customers and 19 million domains under management β and weβre just getting started.
Our culture is built on the values that we live every day: the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.
Namecheap has been on the market for 25+ years and is the 2nd largest domain registry in the world. We are the Namecheap Machine Learning Team.
The team prototypes and develops innovative systems with AI and Machine Learning. At the moment, there are more than 10 Production systems in the areas of Emails, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of global market leaders.
The team provides all the conditions for active professional growth. The culture combines the best from enterprises and startups: a high level of professionalism, truly innovative technologies, friendliness, and stability.
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Β· 82 views Β· 12 applications Β· 6d
Customer Support Specialist to $500
Full Remote Β· Ukraine Β· Product Β· English - B1About us: International IT company ZONE3000 has been providing complete solutions for developing and supporting web services (domain registration, hosting, SSL certificates, private mail) for 25 years. Our strategic partners are the worldβs second biggest...About us:
International IT company ZONE3000 has been providing complete solutions for developing and supporting web services (domain registration, hosting, SSL certificates, private mail) for 25 years. Our strategic partners are the worldβs second biggest domain registrar Namecheap and a leading Ukrainian hosting provider HOSTiQ. We cooperate with more than 2200 specialists and are listed in the TOP 10 of the largest biggest IT companies in Ukraine.
Job requirements:ZONE3000 opens up new opportunities, who might be interested in them?
- young ambitious professionals, who are just dreaming about pursuing an IT career;
- students willing to combine education with a professional development path;
- specialists seeking to master a new industry or change their occupation completely.
If you catch yourself thinking that this description fits you perfectly, itβs about you, check out our current position of Customer Support Specialist.
The only requirement for this position is an Intermediate or above level ofEnglish. All the technical details and professional skills will be taught at our training.
Youβll work remotely and do shifts. Thatβs why you can effectively manage your working time, and even combine work with studying.
What youβll get:- A job in the most stable and reliable IT industry. Job experience in an IT company by international standards.
- Formal employment, paid vacation and sick leave.
- Stable income starting from $400. Night shifts are paid extra (rate Ρ 1.5), for example: if you have 6 night shifts in a month, youβll get $457.
- Technical training course where youβll gain professional insight into web services, domains, hosting and the internet in general. Youβll also learn how to interact with clients all around the world and how to manage business communication. The company will pay you $300 after successfully passing the end-of-level test.
- Professional development opportunities and also a pay rise. For additional initiatives or extraordinary results you can get monthly and quarterly bonuses.
- Opportunity to change your position using our Internal Mobility project. We always listen to your wishes and support your talents and abilities. For example, you might want to get a job in other business fields, in other IT positions: Product Owner, Project Manager, Scrum Master, software developer, system administrator, etc.
- Development of soft and hard skills in the corporate training centre with training materials provided by our New York colleagues.
What you will do:- Consult and support users of our products in solving various issues related to web services. For example, it can be assistance in choosing services, installation or setting up our products and services. Communication is provided through chats and tickets (emails)
Some extra perks youβll get:- FreeEnglish classes: grammar lectures, speaking clubs.
- Points accumulation system, where the points can be exchanged into certificates with MAKEUP, Rozetka, Citrus, JYSK, etc.
- Discount system for our employees, where youβll get discounts and special offers from our partners (food delivery and entertainment venues, medical centres and pharmacies, beauty parlours and gyms, educational courses and much more).
- Corporate culture which involves a warm and welcoming team atmosphere, team buildings, corporate parties* and other activities which make workflow processes more enjoyable and valuable.
- Team buildings and corporate parties are on hold for the duration of the armed conflict.
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Β· 200 views Β· 10 applications Β· 12d
Quant Data Analyst in Machine Learning Team
Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 4 years of experience Β· English - B1Your expertise: High personal interest in quantitative and algorithmic approaches Knowledge in quantitative analysis, statistics, time-series analysis, ML modeling and forecasting for markets Experience from 2 years with Data Science activities, including...Your expertise:
- High personal interest in quantitative and algorithmic approaches
- Knowledge in quantitative analysis, statistics, time-series analysis, ML modeling and forecasting for markets
- Experience from 2 years with Data Science activities, including data research and analysis, algorithmic strategy prototyping and backtesting
- Experience with creating and supporting algorithmic strategies, including their risk management
- Experience in systematically monitoring and evaluating the performance of algorithmic strategies with a set of KPIs
Experience with SQL, Pandas / NumPy / SciPy, and backtesting frameworks
Will definitely be a plus:
- Experience with effectively managing delta-neutral and grid strategies
- Experience in the management of a portfolio of algorithmic strategies
- Experience with data science for Agentic AI and Machine Learning
- Experience in the DeFi, DeFAI, or market-making
Good knowledge of Finance for markets
Whatβs in it for you?
- Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
- Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
- Decent market rate compensation depending on experience and skills
- Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
- Support of personal and professional development
- coverage of costs of external trainings, conferences, professional literature
- support of experienced colleagues
- in-house events and trainings
- regular knowledge sharing in teams
- English classes and speaking clubs
- Life-balance support
- 25 working days of vacation
- 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
- generous maternity / paternity leave program
Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
You will be involved into:
- Lead Data Science activities for algorithmic strategies: data research and analysis, prototyping and backtesting, live strategy performance monitoring, designing data pipelines, designing and implementing risk management strategy
- Participate in the full lifecycle of algorithmic strategy development: ideation, data research, strategy design and prototyping, backtesting, implementation, and live monitoring
- Systematically monitor and analyze strategy performance metrics, research and generate hypotheses for improvement, and iteratively test hypotheses
Define requirements for implementation by Developers of algorithmic strategies and their data pipelines
About the company and project:
ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap has been on the market for 20+ years and is the 2nd largest domain registryβ¬ in the world. We are the Namecheap Machine Learning Team.β¬
The team prototypes and develops innovative systems with AI and Machine Learning.β¬ Currently, there are more than 10 Production systems in the areas of Email, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of globalβ¬ market leaders.β¬
The team provides all the conditions for active professional growth. The culture combinesβ¬ the best from enterprises and startups: a high level of professionalism, truly innovativeβ¬ technologies, friendliness, and stability.β¬
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Β· 91 views Β· 12 applications Β· 25d
Performance Analyst
Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 2 years of experience Β· English - NoneLocation: Remote Your expertise: Degree in Statistics / Mathematics or Finance SQL knowledge on a good level Good theoretical background in mathβs and statistic Good understanding of predictive analytics Experience building visualizations in Tableau or...Location: Remote
Your expertise:
- Degree in Statistics / Mathematics or Finance
- SQL knowledge on a good level
- Good theoretical background in mathβs and statistic
- Good understanding of predictive analytics
- Experience building visualizations in Tableau or other similar tools
- Experience working with data received from Google Analytics, AdWords, Facebook, etc.
- Understanding of LTV / CAC, Conversion Rate, Cohort analysis, Retention Rate
- Understanding of digital marketing, especially PPC and SEO fields
- Analytical mindset
- Upper-intermediate English (written and spoken)
- Minimum 3 years of experience on similar position
- Python, R knowledge will be a plus
Whatβs in it for you?
- Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
- Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
- Decent market rate compensation depending on experience and skills
- Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
- Support of personal and professional development
- coverage of costs of external trainings, conferences, professional literature
- support of experienced colleagues
- in-house events and trainings
- regular knowledge sharing in teams
- English classes and speaking clubs
- Life-balance support
- 25 working days of vacation
- 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
- generous maternity / paternity leave program
- Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
You will be involved into:
- Provide Product Pod with deep insights regarding all activities
- Support in decision-making
- Building forecasts and prediction models
- Data analysis to detect the reasons of deviations in the main and secondary metrics
- Help maximize revenue by bringing early attention issues or changes in trends related to our products, business practice, processes, finances, and accounting
- Ensure that data is tracked in the proper manner
- Looking for alternative data sources and tools
- Initiate deep digging analysis
- Create visualizations and presenting them to the stakeholders
About the company and project:
ZONE3000 is proud to represent its partnership with Namecheap . Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today, Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 16 million customers and 19 million domains under management β and weβre just getting started.
Our culture is built on the values that we live every day: the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.
Performance Analyst will become a member of a professional and motivated team. Our main goal is to transform data into knowledge. Performance Analyst will work closely with the Product Team and will help with data analysis, finding patterns, looking for hidden correlations, assist in managing the pricing policy.We are Business Intelligence team solving business challenges with innovative technology solutions. Experienced in setting up BI, ETL, DW and ML solutions. Currently we are working on a new project and we are looking for a Data Engineer, who will take part in a building solution from the scratch.
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Β· 85 views Β· 5 applications Β· 11d
Junior Operations Specialist
Full Remote Β· Ukraine Β· Product Β· 1 year of experience Β· English - B1Π¨ΡΠΊΠ°ΡΠΌΠΎ Operations Specialist, ΡΠΊΠΈΠΉ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΡΠ²Π°ΡΠΈΠΌΠ΅ Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π±ΡΠΉΠ½Ρ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½Ρ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΡ ΡΠ΅ΠΊΡΡΡΠΌΠ΅Π½Ρ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ ΡΠ° Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°ΡΠΈΠΌΠ΅ ΠΏΡΠ΄Π²ΠΈΡΡΠ²Π°ΡΠΈ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡΡΡ ΡΡ ΡΠΎΠ±ΠΎΡΠΈ. Π¦Ρ ΡΠΎΠ»Ρ ΠΏΠ΅ΡΠ΅Π΄Π±Π°ΡΠ°Ρ Π²ΠΈΠΊΠΎΠ½Π°Π½Π½Ρ ΡΠΈΡΠΎΠΊΠΎΠ³ΠΎ ΡΠΏΠ΅ΠΊΡΡΠ° Π·Π°Π²Π΄Π°Π½Ρ: Π²ΡΠ΄ Π²Π΅Π΄Π΅Π½Π½Ρ Π·Π²ΡΡΠ½ΠΎΡΡΡ Π΄ΠΎ ΠΎΡΠ³Π°Π½ΡΠ·Π°ΡΡΡ...Π¨ΡΠΊΠ°ΡΠΌΠΎ Operations Specialist, ΡΠΊΠΈΠΉ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΡΠ²Π°ΡΠΈΠΌΠ΅ Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π±ΡΠΉΠ½Ρ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½Ρ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΡ ΡΠ΅ΠΊΡΡΡΠΌΠ΅Π½Ρ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ ΡΠ° Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°ΡΠΈΠΌΠ΅ ΠΏΡΠ΄Π²ΠΈΡΡΠ²Π°ΡΠΈ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡΡΡ ΡΡ ΡΠΎΠ±ΠΎΡΠΈ. Π¦Ρ ΡΠΎΠ»Ρ ΠΏΠ΅ΡΠ΅Π΄Π±Π°ΡΠ°Ρ Π²ΠΈΠΊΠΎΠ½Π°Π½Π½Ρ ΡΠΈΡΠΎΠΊΠΎΠ³ΠΎ ΡΠΏΠ΅ΠΊΡΡΠ° Π·Π°Π²Π΄Π°Π½Ρ: Π²ΡΠ΄ Π²Π΅Π΄Π΅Π½Π½Ρ Π·Π²ΡΡΠ½ΠΎΡΡΡ Π΄ΠΎ ΠΎΡΠ³Π°Π½ΡΠ·Π°ΡΡΡ Π²Π½ΡΡΡΡΡΠ½ΡΡ ΠΏΡΠΎΡΠ΅ΡΡΠ² ΡΠ° ΠΊΠΎΠΌΡΠ½ΡΠΊΠ°ΡΡΡ Π· ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ.
ΠΠ°ΠΌ ΠΏΠΎΡΡΡΠ±Π΅Π½ ΠΎΡΠ³Π°Π½ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΉ, Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Π»ΡΠ½ΠΈΠΉ Ρ ΠΏΡΠΎΠ°ΠΊΡΠΈΠ²Π½ΠΈΠΉ ΡΠΏΠ΅ΡΡΠ°Π»ΡΡΡ, ΡΠΊΠΈΠΉ ΡΠ²ΠΈΠ΄ΠΊΠΎ Π°Π΄Π°ΠΏΡΡΡΡΡΡΡ Π΄ΠΎ Π½ΠΎΠ²ΠΈΡ Π·Π°Π²Π΄Π°Π½Ρ, Π·ΠΌΠΎΠΆΠ΅ Π· ΡΠ°ΡΠΎΠΌ ΡΠ°ΠΌΠΎΡΡΡΠΉΠ½ΠΎ Π·Π½Π°Ρ ΠΎΠ΄ΠΈΡΠΈ ΡΡΡΠ΅Π½Π½Ρ ΡΠ° ΡΠΊΡΡΠ½ΠΎ Π²ΠΈΠΊΠΎΠ½ΡΠ²Π°ΡΠΈ ΡΠΎΠ±ΠΎΡΡ Π² Π·Π°Π΄Π°Π½Ρ ΡΠ΅ΡΠΌΡΠ½ΠΈ.
Π¦Ρ ΡΠΎΠ»Ρ ΠΏΡΠ΄ΡΠΉΠ΄Π΅ Π²Π°ΠΌ, ΡΠΊΡΠΎ Π²ΠΈ:- ΠΌΠ°ΡΡΠ΅ ΡΠΎΠ·ΡΠΌΡΠ½Π½Ρ ΡΠ°/Π°Π±ΠΎ ΠΏΡΠ°ΠΊΡΠΈΡΠ½ΠΈΠΉ Π΄ΠΎΡΠ²ΡΠ΄ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΠΎΡ ΡΠ° Π°Π΄ΠΌΡΠ½ΡΡΡΡΠ°ΡΠΈΠ²Π½ΠΎΡ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ²;
- ΠΌΠ°ΡΡΠ΅ Π΄ΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΡΡΡ, ΡΠ°Π±Π»ΠΈΡΡΠΌΠΈ, Π·Π²ΡΡΠ°ΠΌΠΈ ΡΠ° ΠΏΠΎΡΡΠ²Π°ΡΡΠ΅ ΡΠ΅Π±Π΅ ΠΊΠΎΠΌΡΠΎΡΡΠ½ΠΎ Π· ΠΏΠΎΠ΄ΡΠ±Π½ΠΈΠΌ ΡΠΎΡΠΌΠ°ΡΠΎΠΌ ΡΠΎΠ±ΠΎΡΠΈ;
- Π΄ΠΎΡΡΠΈΠΌΡΡΡΠ΅ΡΡ ΡΡΡΡΠΊΡΡΡΠΎΠ²Π°Π½ΠΎΡΡΡ, ΠΏΠΎΡΡΠ΄ΠΊΡ ΡΠ° ΡΠΈΡΡΠ΅ΠΌΠ½ΠΎΡΡΡ Ρ ΡΠΎΠ΄Π΅Π½Π½ΠΈΡ Π·Π°Π΄Π°ΡΠ°Ρ ;
- ΡΡΠ²ΡΠ΄ΠΎΠΌΠ»Π΅Π½ΠΎ ΠΎΠ±ΠΈΡΠ°ΡΡΠ΅ ΡΠΎΠ·Π²ΠΈΡΠΎΠΊ ΡΠ°ΠΌΠ΅ Π² Π½Π°ΠΏΡΡΠΌΠΊΡ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΠΎΡ/Π°Π΄ΠΌΡΠ½ΡΡΡΡΠ°ΡΠΈΠ²Π½ΠΎΡ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ;
- ΠΊΠΎΠΌΡΠΎΡΡΠ½ΠΎ ΠΏΡΠ°ΡΡΡΡΠ΅ Π· ΠΏΠΎΠ²ΡΠΎΡΡΠ²Π°Π½ΠΈΠΌΠΈ ΡΠ° ΠΎΠ΄Π½ΠΎΠΌΠ°Π½ΡΡΠ½ΠΈΠΌΠΈ Π·Π°Π΄Π°ΡΠ°ΠΌΠΈ ΡΠ° ΠΏΡΠΎΡΠ΅ΡΠ°ΠΌΠΈ;
- ΠΎΡΡΠΈΠΌΡΡΡΠ΅ Π·Π°Π΄ΠΎΠ²ΠΎΠ»Π΅Π½Π½Ρ Π²ΡΠ΄ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ ΠΊΠΎΠΌΠ°Π½Π΄ ΡΠ΅ΡΠ΅Π· ΡΠΊΡΡΠ½Ρ ΠΎΡΠ³Π°Π½ΡΠ·Π°ΡΡΡ ΡΠΎΠ±ΠΎΡΠΈ.
Π¦Ρ ΡΠΎΠ»Ρ ΠΌΠΎΠΆΠ΅ Π½Π΅ ΠΏΡΠ΄ΡΠΉΡΠΈ Π²Π°ΠΌ, ΡΠΊΡΠΎ Π²ΠΈ:
- ΡΠΎΠ·Π³Π»ΡΠ΄Π°ΡΡΠ΅ Π΄Π°Π½Ρ ΡΠΎΠ»Ρ ΡΡΡΠΎ ΡΠΊ ΡΡΠ°ΡΡ Π΄Π»Ρ ΠΏΠΎΠ΄Π°Π»ΡΡΠΎΠ³ΠΎ ΠΏΠ΅ΡΠ΅Ρ ΠΎΠ΄Ρ Ρ ΡΡΠ΅ΡΡ ΡΠ΅ΠΊΡΡΡΠΈΠ½Π³Ρ Π°Π±ΠΎ HR;
- ΡΡΠΊΠ°ΡΡΠ΅ ΠΏΠΎΡΠ°ΡΠΊΠΎΠ²Ρ ΠΏΠΎΠ·ΠΈΡΡΡ Π΄Π»Ρ Π²Ρ ΠΎΠ΄Ρ Π² IT-ΡΡΠ΅ΡΡ ΡΠ° ΠΎΡΡΠΊΡΡΡΠ΅ ΠΎΠ±ΠΎΠ²'ΡΠ·ΠΊΠΎΠ²ΠΎΠ³ΠΎ ΡΠΎΠ·Π²ΠΈΡΠΊΡ Π² ΡΠ½ΡΡ Π½Π°ΠΏΡΡΠΌΠΊΠΈ;
- ΠΎΡΡΡΠ½ΡΠΎΠ²Π°Π½Ρ ΠΏΠ΅ΡΠ΅Π²Π°ΠΆΠ½ΠΎ Π½Π° ΡΡΡΠ°ΡΠ΅Π³ΡΡΠ½Ρ Π·Π°Π΄Π°ΡΡ;
- ΠΎΡΡΠΊΡΡΡΠ΅ ΡΠ²ΠΈΠ΄ΠΊΠΎΡ Π·ΠΌΡΠ½ΠΈ ΡΡΠ½ΠΊΡΡΠΎΠ½Π°Π»Ρ Π² Π±ΡΠΊ ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΡ Π°Π±ΠΎ Π±ΡΠ·Π½Π΅Ρ-ΡΠΎΠ»Π΅ΠΉ;
- Π½Π΅ ΠΏΠ»Π°Π½ΡΡΡΠ΅ Π΄ΠΎΠ²Π³ΠΎΡΡΡΠΎΠΊΠΎΠ²ΠΈΠΉ ΡΠΎΠ·Π²ΠΈΡΠΎΠΊ ΡΠ°ΠΌΠ΅ Π² ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΠΎΠΌΡ Π½Π°ΠΏΡΡΠΌΠΊΡ.
ΠΡΠ½ΠΎΠ²Π½Ρ ΠΎΠ±ΠΎΠ²βΡΠ·ΠΊΠΈ:
- ΠΡΠ΅ΠΊΡΠΈΠ²Π½Π° Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ Π· ΡΠ΅ΠΊΡΡΡΠΌΠ΅Π½Ρ Π΄ΠΈΡΠ΅ΠΊΡΠΎΡΠΎΠΌ, ΡΠ· ΡΡΠΌ Π»ΡΠ΄ΠΎΠΌ ΡΠ° ΡΠ΅ΠΊΡΡΡΠΌΠ΅Π½Ρ ΠΊΠΎΠΌΠ°Π½Π΄ΠΎΡ ΡΠΎΠ΄ΠΎ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΠΎΡ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ ΠΏΠ»Π°Π½ΠΎΠ²ΠΈΡ ΡΠ° ΠΏΠΎΠ·Π°ΠΏΠ»Π°Π½ΠΎΠ²ΠΈΡ Π·Π°ΠΏΠΈΡΡΠ².
- ΠΠ°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΠΎΡ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ ΡΠ° ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°ΡΡΡ Π²Π½ΡΡΡΡΡΠ½ΡΡ ΠΊΠΎΠΌΠ°Π½Π΄Π½ΠΈΡ ΠΏΠΎΠ΄ΡΠΉ.
- ΠΡΠ±Π»ΡΠΊΠ°ΡΡΡ, ΠΎΠ½ΠΎΠ²Π»Π΅Π½Π½Ρ ΡΠ° Π°ΡΡ ΡΠ²Π°ΡΡΡ Π²Π°ΠΊΠ°Π½ΡΡΠΉ Π½Π° Π·ΠΎΠ²Π½ΡΡΠ½ΡΡ ΡΠ°ΠΉΡΠ°Ρ ΡΠ° Ρ Π²Π½ΡΡΡΡΡΠ½ΡΡ ΡΠΈΡΡΠ΅ΠΌΠ°Ρ .
- ΠΠ΅Π΄Π΅Π½Π½Ρ ΡΠ°Π±Π»ΠΈΡΡ Π· ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΡΡ ΠΏΡΠΎ Π°ΠΊΡΠΈΠ²Π½Ρ ΠΏΡΠΎΡΠ΅ΡΠΈ, ΡΡΡΠΎΠΊΠΈ, Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Π»ΡΠ½ΠΈΡ ΠΎΡΡΠ± β ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠ° Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ Π΄Π°Π½ΠΈΡ .
- ΠΠ΅ΡΠ΅Π²ΡΡΠΊΠ° Π²Ρ ΡΠ΄Π½ΠΎΡ ΠΏΠΎΡΡΠΈ (ΡΠΎΡΠΌ, Π·Π°ΠΏΠΈΡΡΠ²), ΡΠΎΡΡΡΠ²Π°Π½Π½Ρ Π»ΠΈΡΡΡΠ², Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Ρ Π·Π° ΡΠ°Π±Π»ΠΎΠ½Π°ΠΌΠΈ.
- ΠΡΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ° ΡΠ΅Π³ΡΠ»ΡΡΠ½ΠΈΡ Π·Π²ΡΡΡΠ² Ρ Google Sheets: Π·Π²Π΅Π΄Π΅Π½Π½Ρ Π΄Π°Π½ΠΈΡ , Π±Π°Π·ΠΎΠ²Π° Π°Π½Π°Π»ΡΡΠΈΠΊΠ°, ΠΎΡΠΎΡΠΌΠ»Π΅Π½Π½Ρ Ρ ΡΡΡΡΠΊΡΡΡΠΎΠ²Π°Π½ΠΎΠΌΡ Π²ΠΈΠ³Π»ΡΠ΄Ρ.
- ΠΠΎΠ±ΡΠ΄ΠΎΠ²Π° ΠΏΡΠΎΡΡΠΈΡ Π΄ΡΠ°Π³ΡΠ°ΠΌ Ρ Π³ΡΠ°ΡΡΠΊΡΠ² Π΄Π»Ρ Π²Π½ΡΡΡΡΡΠ½ΡΡ ΠΏΠΎΡΡΠ΅Π± ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ.
- Π£ΡΠ°ΡΡΡ Π² ΠΎΠ½ΠΎΠ²Π»Π΅Π½Π½Ρ Π²Π½ΡΡΡΡΡΠ½ΡΠΎΡ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΡΡ: ΡΠ°Π±Π»ΠΎΠ½ΠΈ, ΠΏΡΠΎΡΠ΅Π΄ΡΡΠΈ, ΡΠ΅ΠΊΡΡΠΎΠ²Ρ ΡΠ½ΡΡΡΡΠΊΡΡΡ.
ΠΠΈΠΌΠΎΠ³ΠΈ:- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π² Π°Π΄ΠΌΡΠ½ΡΡΡΡΠ°ΡΠΈΠ²Π½ΡΠΉ, ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΡΠΉ Π°Π±ΠΎ Π°ΡΠΈΡΡΠ΅Π½ΡΡΡΠΊΡΠΉ ΡΠΎΠ»Ρ Π²ΡΠ΄ 6 ΠΌΡΡΡΡΡΠ².
- ΠΠΏΠ΅Π²Π½Π΅Π½Ρ Π½Π°Π²ΠΈΡΠΊΠΈ ΡΠΎΠ±ΠΎΡΠΈ Π· Google Sheets / Excel: Π³ΡΠ°ΡΡΠΊΠΈ, Π±Π°Π·ΠΎΠ²Ρ ΡΠΎΡΠΌΡΠ»ΠΈ (SUM, VLOOKUP, IF ΡΠΎΡΠΎ), Π·Π²Π΅Π΄Π΅Π½Ρ ΡΠ°Π±Π»ΠΈΡΡ, ΡΡΠ»ΡΡΡΠΈ, ΡΠΌΠΎΠ²Π½Π΅ ΡΠΎΡΠΌΠ°ΡΡΠ²Π°Π½Π½Ρ.
- ΠΠΌΡΠ½Π½Ρ Π»ΠΎΠ³ΡΡΠ½ΠΎ ΡΡΡΡΠΊΡΡΡΡΠ²Π°ΡΠΈ Π΄Π°Π½Ρ ΡΠ° ΠΏΡΠ΄ΡΡΠΈΠΌΡΠ²Π°ΡΠΈ ΠΏΠΎΡΡΠ΄ΠΎΠΊ Π² Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°Ρ .
- ΠΠΈΡΠΎΠΊΠΈΠΉ ΡΡΠ²Π΅Π½Ρ ΠΎΡΠ³Π°Π½ΡΠ·ΠΎΠ²Π°Π½ΠΎΡΡΡ, ΡΠ²Π°ΠΆΠ½ΡΡΡΡ Π΄ΠΎ Π΄Π΅ΡΠ°Π»Π΅ΠΉ.
- ΠΠΎΡΠΎΠ²Π½ΡΡΡΡ ΠΏΡΠ°ΡΡΠ²Π°ΡΠΈ Π· ΠΏΠΎΠ²ΡΠΎΡΡΠ²Π°Π½ΠΈΠΌΠΈ Π·Π°Π΄Π°ΡΠ°ΠΌΠΈ, Π²ΠΌΡΠ½Π½Ρ Π΄ΠΎΡΡΠΈΠΌΡΠ²Π°ΡΠΈΡΡ Π΄Π΅Π΄Π»Π°ΠΉΠ½ΡΠ².
- ΠΠ½Π³Π»ΡΠΉΡΡΠΊΠ° ΠΌΠΎΠ²Π° Π½Π° ΡΡΠ²Π½Ρ Π½Π΅ Π½ΠΈΠΆΡΠ΅ B1+ (Π»ΠΈΡΡΡΠ²Π°Π½Π½Ρ, ΡΠΎΠ±ΠΎΡΠ° Π· Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΡΡΡ).
- ΠΡΠ°ΠΌΠΎΡΠ½Π° ΠΏΠΈΡΡΠΌΠΎΠ²Π° ΠΊΠΎΠΌΡΠ½ΡΠΊΠ°ΡΡΡ, Π·Π΄Π°ΡΠ½ΡΡΡΡ ΡΠ²ΠΈΠ΄ΠΊΠΎ Π²ΠΊΠ»ΡΡΠ°ΡΠΈΡΡ Π² Π½ΠΎΠ²Ρ Π·Π°Π΄Π°ΡΡ.
- ΠΠΎΠΌΠ°Π½Π΄Π½ΡΡΡΡ, Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Π»ΡΠ½ΡΡΡΡ, Π²ΡΠ΄ΠΊΡΠΈΡΡΡΡΡ Π΄ΠΎ Π·ΠΌΡΠ½.
- ΠΠ΄Π°ΡΠ½ΡΡΡΡ Π³Π΅Π½Π΅ΡΡΠ²Π°ΡΠΈ ΠΊΡΠ΅Π°ΡΠΈΠ²Π½Ρ ΡΡΡΠ΅Π½Π½Ρ Π΄Π»Ρ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΎΠ·Π²'ΡΠ·Π°Π½Π½Ρ ΡΠΎΠ±ΠΎΡΠΈΡ Π·Π°Π²Π΄Π°Π½Ρ.
- ΠΠ΄Π°ΡΠ½ΡΡΡΡ ΡΠ²ΠΈΠ΄ΠΊΠΎ ΡΠ° ΡΠΊΡΡΠ½ΠΎ ΠΎΠ±ΡΠΎΠ±Π»ΡΡΠΈ ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΡ Π² Π΄ΠΈΠ½Π°ΠΌΡΡΠ½ΠΎΠΌΡ ΡΠ΅ΡΠ΅Π΄ΠΎΠ²ΠΈΡΡ.
- ΠΡΠ΄ΡΡΠΈΠΌΠΊΠ° Π²ΠΈΡΠΎΠΊΠΎΠ³ΠΎ ΡΡΠ²Π½Ρ ΡΡΡΡΠΊΡΡΡΠΎΠ²Π°Π½ΠΎΡΡΡ Π² ΡΠΎΠ±ΠΎΡΡ ΡΠ° Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΡΡ.
- ΠΠ½Π°Π»ΡΡΠΈΡΠ½Π΅ ΠΌΠΈΡΠ»Π΅Π½Π½Ρ ΡΠ° Π²ΠΌΡΠ½Π½Ρ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΡΠ²Π°ΡΠΈ Π½Π°ΡΠ»ΡΠ΄ΠΊΠΈ ΠΏΡΠΈΠΉΠ½ΡΡΠΈΡ ΡΡΡΠ΅Π½Ρ.
- ΠΠ΄Π°ΡΠ½ΡΡΡΡ Π΄ΠΎ Π·Π°Π²ΡΠ°ΡΠ½ΠΎΠ³ΠΎ Π²ΠΈΡΠ²Π»Π΅Π½Π½Ρ ΠΏΠΎΡΠ΅Π½ΡΡΠΉΠ½ΠΈΡ ΡΠΈΠ·ΠΈΠΊΡΠ² ΡΠ° Π΄ΠΎ Π·Π°ΠΏΠΎΠ±ΡΠ³Π°Π½Π½Ρ ΠΊΡΠΈΡΠΈΡΠ½ΠΈΠΌ ΡΠΈΡΡΠ°ΡΡΡΠΌ.
ΠΡΠ΄Π΅ ΠΏΠ΅ΡΠ΅Π²Π°Π³ΠΎΡ:- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· Confluence, Trello.
- ΠΠΎΡΠ²ΡΠ΄ ΠΏΡΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠΈ ΡΠ°Π±Π»ΠΈΡΡ Ρ Π·Π²ΡΡΡΠ² Π΄Π»Ρ ΠΊΠΎΠΌΠ°Π½Π΄/ΠΊΠ΅ΡΡΠ²Π½ΠΈΠΊΡΠ².
- Π ΠΎΠ·ΡΠΌΡΠ½Π½Ρ, ΡΠΊ ΠΏΡΠ°ΡΡΡΡΡ ΡΠ°ΠΉΡΠΈ Π· ΡΠΎΠ·ΠΌΡΡΠ΅Π½Π½Ρ Π²Π°ΠΊΠ°Π½ΡΡΠΉ ΡΠ° ΠΏΡΠΎΡΠ΅ΡΠΈ ΡΠ΅ΠΊΡΡΡΠΈΠ½Π³Ρ.
- ΠΠ°Π·ΠΎΠ²Ρ Π½Π°Π²ΠΈΡΠΊΠΈ ΡΠΎΠ±ΠΎΡΠΈ Π· ΡΠΈΡΡΠ΅ΠΌΠ°ΠΌΠΈ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ Π²Π°ΠΊΠ°Π½ΡΡΡΠΌΠΈ Π°Π±ΠΎ CRM.
- ΠΠΎΡΠ²ΡΠ΄ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ ΠΊΠΎΠΌΠ°Π½Π΄: Π»ΠΈΡΡΡΠ²Π°Π½Π½Ρ, ΠΎΠ½ΠΎΠ²Π»Π΅Π½Π½Ρ ΡΠ°Π±Π»ΠΎΠ½ΡΠ², Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΡΡ.
Π©ΠΎ ΠΌΠΈ ΠΏΡΠΎΠΏΠΎΠ½ΡΡΠΌΠΎ:- 8-Π³ΠΎΠ΄ΠΈΠ½Π½ΠΈΠΉ ΡΠΎΠ±ΠΎΡΠΈΠΉ Π΄Π΅Π½Ρ.
- ΠΡΠ΄ΡΡΠΈΠΌΠΊΠ° work-life Π±Π°Π»Π°Π½ΡΡ:
- 25 ΡΠΎΠ±ΠΎΡΠΈΡ Π΄Π½ΡΠ² Π²ΡΠ΄ΠΏΡΡΡΠΊΠΈ.
- 5 ΠΎΠΏΠ»Π°ΡΡΠ²Π°Π½ΠΈΡ Π»ΡΠΊΠ°ΡΠ½ΡΠ½ΠΈΡ Π΄Π½ΡΠ² Π½Π° ΠΌΡΡΡΡΡ Π±Π΅Π· Π½Π΅ΠΎΠ±Ρ ΡΠ΄Π½ΠΎΡΡΡ Π½Π°Π΄Π°Π½Π½Ρ Π΄ΠΎΠ²ΡΠ΄ΠΊΠΈ.
- ΠΠΎΡΠ»ΡΠ½Π° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠ° Π΄Π΅ΠΊΡΠ΅ΡΠ½ΠΎΡ Π²ΡΠ΄ΠΏΡΡΡΠΊΠΈ.
- ΠΠ°Π½ΡΡΡΡ Π°Π½Π³Π»ΡΠΉΡΡΠΊΠΎΡ ΠΌΠΎΠ²ΠΎΡ Π· ΠΊΠ²Π°Π»ΡΡΡΠΊΠΎΠ²Π°Π½ΠΈΠΌΠΈ Π²ΠΈΠΊΠ»Π°Π΄Π°ΡΠ°ΠΌΠΈ.
- ΠΠΈΡΠΊΠΎΠ½ΡΠ½Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΈ ZONE3000: ΡΠΏΠ΅ΡΡΠ°Π»ΡΠ½Ρ Π·Π½ΠΈΠΆΠΊΠΈ Π²ΡΠ΄ Π½Π°ΡΠΈΡ ΠΏΠ°ΡΡΠ½Π΅ΡΡΠ².
- ΠΠ½ΡΡΡΡΡΠ½Ρ ΠΏΡΠΎΡΠ΅ΡΡΠΉΠ½Ρ Π²ΠΎΡΠΊΡΠΎΠΏΠΈ.
- ΠΠΎΠ΄Π°ΡΠΊΠΎΠ²Ρ ΠΏΠ΅ΡΠ΅Π²Π°Π³ΠΈ ΠΏΡΡΠ»Ρ Π·Π°ΠΊΡΠ½ΡΠ΅Π½Π½Ρ Π²ΡΠΉΠ½ΠΈ.
Π¦Ρ ΡΠΎΠ»Ρ ΠΏΠ΅ΡΠ΅Π΄Π±Π°ΡΠ°Ρ ΡΡΡΠ½Ρ Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ Π· ΡΠ΅ΠΊΡΡΡΠΌΠ΅Π½Ρ ΠΊΠΎΠΌΠ°Π½Π΄ΠΎΡ ΡΠ° ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΡΠΎΠ±ΠΈΡΠΈ Π²Π½Π΅ΡΠΎΠΊ Ρ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡΡΡ ΡΠΎΠ±ΠΎΡΠΈ ΡΡΠ»ΠΎΡ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ. Π―ΠΊΡΠΎ Π²Π°ΠΌ ΡΡΠΊΠ°Π²ΠΎ ΠΏΡΠ°ΡΡΠ²Π°ΡΠΈ Π· Π΄Π°Π½ΠΈΠΌΠΈ, Π²ΠΏΠΎΡΡΠ΄ΠΊΠΎΠ²ΡΠ²Π°ΡΠΈ ΠΏΡΠΎΡΠ΅ΡΠΈ ΡΠ° ΠΏΡΠ΄ΡΡΠΈΠΌΡΠ²Π°ΡΠΈ ΠΊΠΎΠΌΠ°Π½Π΄Ρ Ρ Π²ΠΈΡΡΡΠ΅Π½Π½Ρ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΠΈΡ Π·Π°Π²Π΄Π°Π½Ρ, Π±ΡΠ΄Π΅ΠΌΠΎ ΡΠ°Π΄Ρ ΡΠΏΡΠ²ΠΏΡΠ°ΡΡ.ΠΡΠΎ ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ:
ZONE3000 β ΠΌΡΠΆΠ½Π°ΡΠΎΠ΄Π½Π° ΠΠ’ ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ, ΡΠΊΠ° ΠΏΠΎΠ½Π°Π΄ 25 ΡΠΎΠΊΡΠ² Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°Ρ Π±ΡΠ·Π½Π΅ΡΠ°ΠΌ ΠΏΠΎ Π²ΡΡΠΎΠΌΡ ΡΠ²ΡΡΡ Π·ΡΠΎΡΡΠ°ΡΠΈ ΡΠ²ΠΈΠ΄ΡΠ΅ Π·Π°Π²Π΄ΡΠΊΠΈ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΈΠΌ ΡΡΡΠ΅Π½Π½Ρ. ΠΠΈ ΡΠΏΠ΅ΡΡΠ°Π»ΡΠ·ΡΡΠΌΠΎΡΡ Π½Π° ΡΠΎΠ·ΡΠΎΠ±ΡΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠ½ΠΎΠ³ΠΎ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ, GenAI, ML, BI ΡΠ° Big Data, Π° ΡΠ°ΠΊΠΎΠΆ ΡΠ΅Ρ Π½ΡΡΠ½ΡΠΉ ΠΏΡΠ΄ΡΡΠΈΠΌΡΡ Π΄Π»Ρ ΠΊΠ»ΡΡΠ½ΡΡΠ² ΡΠ· ΡΡΠ·Π½ΠΈΡ Π³Π°Π»ΡΠ·Π΅ΠΉ.ΠΠ° ΠΊΠΎΠΆΠ½ΠΈΠΌ Π½Π°ΡΠΈΠΌ ΡΡΠΏΡΡ ΠΎΠΌ ΡΡΠΎΡΡΡ ΠΊΠΎΠΌΠ°Π½Π΄Π° ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ½Π°Π»ΡΠ² β ΠΏΠΎΠ½Π°Π΄ 2400 ΡΠ°Ρ ΡΠ²ΡΡΠ², ΡΠΊΡ ΠΎΠ±'ΡΠ΄Π½Π°Π½Ρ ΠΏΡΠΈΡΡΡΠ°ΡΡΡ Π΄ΠΎ ΡΠ½Π½ΠΎΠ²Π°ΡΡΠΉ Ρ ΠΏΡΠ°Π³Π½Π΅Π½Π½ΡΠΌ Π΄ΠΎ ΡΠΎΠ·Π²ΠΈΡΠΊΡ. ΠΠΈ ΡΡΠ²ΠΎΡΡΡΠΌΠΎ Π²ΡΠ΄ΠΊΡΠΈΡΡ ΡΠ° Π΄ΡΡΠΆΠ½Ρ ΠΊΡΠ»ΡΡΡΡΡ, Π΄Π΅ Π΅ΠΊΡΠΏΠ΅ΡΡΠ½ΡΡΡΡ ΠΏΡΠ΄ΠΊΡΡΠΏΠ»Π΅Π½Π° ΡΠΈΡΡΡΡΡ ΠΉ Π²Π·Π°ΡΠΌΠΎΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΎΡ.
ZONE3000 β ΡΠ΅ ΠΌΡΡΡΠ΅, Π΄Π΅ Π²ΠΈ ΠΌΠΎΠΆΠ΅ΡΠ΅ Π·ΡΠΎΡΡΠ°ΡΠΈ ΡΠ°Π·ΠΎΠΌ ΡΠ· Π΄ΠΎΡΠ²ΡΠ΄ΡΠ΅Π½ΠΈΠΌΠΈ ΠΊΠΎΠ»Π΅Π³Π°ΠΌΠΈ, ΡΠ΅Π°Π»ΡΠ·ΠΎΠ²ΡΠ²Π°ΡΠΈ Π°ΠΌΠ±ΡΡΠ½Ρ ΡΠ΄Π΅Ρ ΡΠ° Π½Π°Π΄ΠΈΡ Π°ΡΠΈΡΡ ΡΠΏΡΠ»ΡΠ½ΠΈΠΌΠΈ Π΄ΠΎΡΡΠ³Π½Π΅Π½Π½ΡΠΌΠΈ.
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Full Remote Β· Ukraine Β· Product Β· 1 year of experience Β· English - B1Π¨ΡΠΊΠ°ΡΠΌΠΎ Operations Specialist, ΡΠΊΠΈΠΉ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΡΠ²Π°ΡΠΈΠΌΠ΅ Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π±ΡΠΉΠ½Ρ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½Ρ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΡ ΡΠ΅ΠΊΡΡΡΠΌΠ΅Π½Ρ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ ΡΠ° Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°ΡΠΈΠΌΠ΅ ΠΏΡΠ΄Π²ΠΈΡΡΠ²Π°ΡΠΈ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡΡΡ ΡΡ ΡΠΎΠ±ΠΎΡΠΈ. Π¦Ρ ΡΠΎΠ»Ρ ΠΏΠ΅ΡΠ΅Π΄Π±Π°ΡΠ°Ρ Π²ΠΈΠΊΠΎΠ½Π°Π½Π½Ρ ΡΠΈΡΠΎΠΊΠΎΠ³ΠΎ ΡΠΏΠ΅ΠΊΡΡΠ° Π·Π°Π²Π΄Π°Π½Ρ: Π²ΡΠ΄ Π²Π΅Π΄Π΅Π½Π½Ρ Π·Π²ΡΡΠ½ΠΎΡΡΡ Π΄ΠΎ ΠΎΡΠ³Π°Π½ΡΠ·Π°ΡΡΡ...Π¨ΡΠΊΠ°ΡΠΌΠΎ Operations Specialist, ΡΠΊΠΈΠΉ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΡΠ²Π°ΡΠΈΠΌΠ΅ Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π±ΡΠΉΠ½Ρ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½Ρ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΡ ΡΠ΅ΠΊΡΡΡΠΌΠ΅Π½Ρ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ ΡΠ° Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°ΡΠΈΠΌΠ΅ ΠΏΡΠ΄Π²ΠΈΡΡΠ²Π°ΡΠΈ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡΡΡ ΡΡ ΡΠΎΠ±ΠΎΡΠΈ. Π¦Ρ ΡΠΎΠ»Ρ ΠΏΠ΅ΡΠ΅Π΄Π±Π°ΡΠ°Ρ Π²ΠΈΠΊΠΎΠ½Π°Π½Π½Ρ ΡΠΈΡΠΎΠΊΠΎΠ³ΠΎ ΡΠΏΠ΅ΠΊΡΡΠ° Π·Π°Π²Π΄Π°Π½Ρ: Π²ΡΠ΄ Π²Π΅Π΄Π΅Π½Π½Ρ Π·Π²ΡΡΠ½ΠΎΡΡΡ Π΄ΠΎ ΠΎΡΠ³Π°Π½ΡΠ·Π°ΡΡΡ Π²Π½ΡΡΡΡΡΠ½ΡΡ ΠΏΡΠΎΡΠ΅ΡΡΠ² ΡΠ° ΠΊΠΎΠΌΡΠ½ΡΠΊΠ°ΡΡΡ Π· ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ.
ΠΠ°ΠΌ ΠΏΠΎΡΡΡΠ±Π΅Π½ ΠΎΡΠ³Π°Π½ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΉ, Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Π»ΡΠ½ΠΈΠΉ Ρ ΠΏΡΠΎΠ°ΠΊΡΠΈΠ²Π½ΠΈΠΉ ΡΠΏΠ΅ΡΡΠ°Π»ΡΡΡ, ΡΠΊΠΈΠΉ ΡΠ²ΠΈΠ΄ΠΊΠΎ Π°Π΄Π°ΠΏΡΡΡΡΡΡΡ Π΄ΠΎ Π½ΠΎΠ²ΠΈΡ Π·Π°Π²Π΄Π°Π½Ρ, Π·ΠΌΠΎΠΆΠ΅ Π· ΡΠ°ΡΠΎΠΌ ΡΠ°ΠΌΠΎΡΡΡΠΉΠ½ΠΎ Π·Π½Π°Ρ ΠΎΠ΄ΠΈΡΠΈ ΡΡΡΠ΅Π½Π½Ρ ΡΠ° ΡΠΊΡΡΠ½ΠΎ Π²ΠΈΠΊΠΎΠ½ΡΠ²Π°ΡΠΈ ΡΠΎΠ±ΠΎΡΡ Π² Π·Π°Π΄Π°Π½Ρ ΡΠ΅ΡΠΌΡΠ½ΠΈ.
ΠΡΠΎ ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ:
ZONE3000 β ΠΌΡΠΆΠ½Π°ΡΠΎΠ΄Π½Π° ΠΠ’ ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ, ΡΠΊΠ° ΠΏΠΎΠ½Π°Π΄ 25 ΡΠΎΠΊΡΠ² Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°Ρ Π±ΡΠ·Π½Π΅ΡΠ°ΠΌ ΠΏΠΎ Π²ΡΡΠΎΠΌΡ ΡΠ²ΡΡΡ Π·ΡΠΎΡΡΠ°ΡΠΈ ΡΠ²ΠΈΠ΄ΡΠ΅ Π·Π°Π²Π΄ΡΠΊΠΈ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΈΠΌ ΡΡΡΠ΅Π½Π½Ρ. ΠΠΈ ΡΠΏΠ΅ΡΡΠ°Π»ΡΠ·ΡΡΠΌΠΎΡΡ Π½Π° ΡΠΎΠ·ΡΠΎΠ±ΡΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠ½ΠΎΠ³ΠΎ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ, GenAI, ML, BI ΡΠ° Big Data, Π° ΡΠ°ΠΊΠΎΠΆ ΡΠ΅Ρ Π½ΡΡΠ½ΡΠΉ ΠΏΡΠ΄ΡΡΠΈΠΌΡΡ Π΄Π»Ρ ΠΊΠ»ΡΡΠ½ΡΡΠ² ΡΠ· ΡΡΠ·Π½ΠΈΡ Π³Π°Π»ΡΠ·Π΅ΠΉ.
ΠΠ° ΠΊΠΎΠΆΠ½ΠΈΠΌ Π½Π°ΡΠΈΠΌ ΡΡΠΏΡΡ ΠΎΠΌ ΡΡΠΎΡΡΡ ΠΊΠΎΠΌΠ°Π½Π΄Π° ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ½Π°Π»ΡΠ² β ΠΏΠΎΠ½Π°Π΄ 2400 ΡΠ°Ρ ΡΠ²ΡΡΠ², ΡΠΊΡ ΠΎΠ±'ΡΠ΄Π½Π°Π½Ρ ΠΏΡΠΈΡΡΡΠ°ΡΡΡ Π΄ΠΎ ΡΠ½Π½ΠΎΠ²Π°ΡΡΠΉ Ρ ΠΏΡΠ°Π³Π½Π΅Π½Π½ΡΠΌ Π΄ΠΎ ΡΠΎΠ·Π²ΠΈΡΠΊΡ. ΠΠΈ ΡΡΠ²ΠΎΡΡΡΠΌΠΎ Π²ΡΠ΄ΠΊΡΠΈΡΡ ΡΠ° Π΄ΡΡΠΆΠ½Ρ ΠΊΡΠ»ΡΡΡΡΡ, Π΄Π΅ Π΅ΠΊΡΠΏΠ΅ΡΡΠ½ΡΡΡΡ ΠΏΡΠ΄ΠΊΡΡΠΏΠ»Π΅Π½Π° ΡΠΈΡΡΡΡΡ ΠΉ Π²Π·Π°ΡΠΌΠΎΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΎΡ.
ZONE3000 β ΡΠ΅ ΠΌΡΡΡΠ΅, Π΄Π΅ Π²ΠΈ ΠΌΠΎΠΆΠ΅ΡΠ΅ Π·ΡΠΎΡΡΠ°ΡΠΈ ΡΠ°Π·ΠΎΠΌ ΡΠ· Π΄ΠΎΡΠ²ΡΠ΄ΡΠ΅Π½ΠΈΠΌΠΈ ΠΊΠΎΠ»Π΅Π³Π°ΠΌΠΈ, ΡΠ΅Π°Π»ΡΠ·ΠΎΠ²ΡΠ²Π°ΡΠΈ Π°ΠΌΠ±ΡΡΠ½Ρ ΡΠ΄Π΅Ρ ΡΠ° ΡΠ° Π½Π°Π΄ΠΈΡ Π°ΡΠΈΡΡ ΡΠΏΡΠ»ΡΠ½ΠΈΠΌΠΈ Π΄ΠΎΡΡΠ³Π½Π΅Π½Π½ΡΠΌΠΈ.
ΠΡΠ½ΠΎΠ²Π½Ρ ΠΎΠ±ΠΎΠ²βΡΠ·ΠΊΠΈ:
- ΠΡΠ΅ΠΊΡΠΈΠ²Π½Π° Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ Π· ΡΠ΅ΠΊΡΡΡΠΌΠ΅Π½Ρ Π΄ΠΈΡΠ΅ΠΊΡΠΎΡΠΎΠΌ, ΡΠ· ΡΡΠΌ Π»ΡΠ΄ΠΎΠΌ ΡΠ° ΡΠ΅ΠΊΡΡΡΠΌΠ΅Π½Ρ ΠΊΠΎΠΌΠ°Π½Π΄ΠΎΡ ΡΠΎΠ΄ΠΎ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΠΎΡ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ ΠΏΠ»Π°Π½ΠΎΠ²ΠΈΡ ΡΠ° ΠΏΠΎΠ·Π°ΠΏΠ»Π°Π½ΠΎΠ²ΠΈΡ Π·Π°ΠΏΠΈΡΡΠ².
- ΠΠ°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΠΎΡ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ ΡΠ° ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°ΡΡΡ Π²Π½ΡΡΡΡΡΠ½ΡΡ ΠΊΠΎΠΌΠ°Π½Π΄Π½ΠΈΡ ΠΏΠΎΠ΄ΡΠΉ.
- ΠΡΠ±Π»ΡΠΊΠ°ΡΡΡ, ΠΎΠ½ΠΎΠ²Π»Π΅Π½Π½Ρ ΡΠ° Π°ΡΡ ΡΠ²Π°ΡΡΡ Π²Π°ΠΊΠ°Π½ΡΡΠΉ Π½Π° Π·ΠΎΠ²Π½ΡΡΠ½ΡΡ ΡΠ°ΠΉΡΠ°Ρ ΡΠ° Ρ Π²Π½ΡΡΡΡΡΠ½ΡΡ ΡΠΈΡΡΠ΅ΠΌΠ°Ρ .
- ΠΠ΅Π΄Π΅Π½Π½Ρ ΡΠ°Π±Π»ΠΈΡΡ Π· ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΡΡ ΠΏΡΠΎ Π°ΠΊΡΠΈΠ²Π½Ρ ΠΏΡΠΎΡΠ΅ΡΠΈ, ΡΡΡΠΎΠΊΠΈ, Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Π»ΡΠ½ΠΈΡ ΠΎΡΡΠ± β ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠ° Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ Π΄Π°Π½ΠΈΡ .
- ΠΠ΅ΡΠ΅Π²ΡΡΠΊΠ° Π²Ρ ΡΠ΄Π½ΠΎΡ ΠΏΠΎΡΡΠΈ (ΡΠΎΡΠΌ, Π·Π°ΠΏΠΈΡΡΠ²), ΡΠΎΡΡΡΠ²Π°Π½Π½Ρ Π»ΠΈΡΡΡΠ², Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Ρ Π·Π° ΡΠ°Π±Π»ΠΎΠ½Π°ΠΌΠΈ.
- ΠΡΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ° ΡΠ΅Π³ΡΠ»ΡΡΠ½ΠΈΡ Π·Π²ΡΡΡΠ² Ρ Google Sheets: Π·Π²Π΅Π΄Π΅Π½Π½Ρ Π΄Π°Π½ΠΈΡ , Π±Π°Π·ΠΎΠ²Π° Π°Π½Π°Π»ΡΡΠΈΠΊΠ°, ΠΎΡΠΎΡΠΌΠ»Π΅Π½Π½Ρ Ρ ΡΡΡΡΠΊΡΡΡΠΎΠ²Π°Π½ΠΎΠΌΡ Π²ΠΈΠ³Π»ΡΠ΄Ρ.
- ΠΠΎΠ±ΡΠ΄ΠΎΠ²Π° ΠΏΡΠΎΡΡΠΈΡ Π΄ΡΠ°Π³ΡΠ°ΠΌ Ρ Π³ΡΠ°ΡΡΠΊΡΠ² Π΄Π»Ρ Π²Π½ΡΡΡΡΡΠ½ΡΡ ΠΏΠΎΡΡΠ΅Π± ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ.
- Π£ΡΠ°ΡΡΡ Π² ΠΎΠ½ΠΎΠ²Π»Π΅Π½Π½Ρ Π²Π½ΡΡΡΡΡΠ½ΡΠΎΡ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΡΡ: ΡΠ°Π±Π»ΠΎΠ½ΠΈ, ΠΏΡΠΎΡΠ΅Π΄ΡΡΠΈ, ΡΠ΅ΠΊΡΡΠΎΠ²Ρ ΡΠ½ΡΡΡΡΠΊΡΡΡ.
- ΠΠ΄Π°ΡΠ½ΡΡΡΡ Π³Π΅Π½Π΅ΡΡΠ²Π°ΡΠΈ ΠΊΡΠ΅Π°ΡΠΈΠ²Π½Ρ ΡΡΡΠ΅Π½Π½Ρ Π΄Π»Ρ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΎΠ·Π²'ΡΠ·Π°Π½Π½Ρ ΡΠΎΠ±ΠΎΡΠΈΡ Π·Π°Π²Π΄Π°Π½Ρ.
- ΠΠ΄Π°ΡΠ½ΡΡΡΡ ΡΠ²ΠΈΠ΄ΠΊΠΎ ΡΠ° ΡΠΊΡΡΠ½ΠΎ ΠΎΠ±ΡΠΎΠ±Π»ΡΡΠΈ ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΡ Π² Π΄ΠΈΠ½Π°ΠΌΡΡΠ½ΠΎΠΌΡ ΡΠ΅ΡΠ΅Π΄ΠΎΠ²ΠΈΡΡ.
- ΠΡΠ΄ΡΡΠΈΠΌΠΊΠ° Π²ΠΈΡΠΎΠΊΠΎΠ³ΠΎ ΡΡΠ²Π½Ρ ΡΡΡΡΠΊΡΡΡΠΎΠ²Π°Π½ΠΎΡΡΡ Π² ΡΠΎΠ±ΠΎΡΡ ΡΠ° Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΡΡ.
- ΠΠ½Π°Π»ΡΡΠΈΡΠ½Π΅ ΠΌΠΈΡΠ»Π΅Π½Π½Ρ ΡΠ° Π²ΠΌΡΠ½Π½Ρ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΡΠ²Π°ΡΠΈ Π½Π°ΡΠ»ΡΠ΄ΠΊΠΈ ΠΏΡΠΈΠΉΠ½ΡΡΠΈΡ ΡΡΡΠ΅Π½Ρ.
- ΠΠ΄Π°ΡΠ½ΡΡΡΡ Π΄ΠΎ Π·Π°Π²ΡΠ°ΡΠ½ΠΎΠ³ΠΎ Π²ΠΈΡΠ²Π»Π΅Π½Π½Ρ ΠΏΠΎΡΠ΅Π½ΡΡΠΉΠ½ΠΈΡ ΡΠΈΠ·ΠΈΠΊΡΠ² ΡΠ° Π΄ΠΎ Π·Π°ΠΏΠΎΠ±ΡΠ³Π°Π½Π½Ρ ΠΊΡΠΈΡΠΈΡΠ½ΠΈΠΌ ΡΠΈΡΡΠ°ΡΡΡΠΌ.
ΠΠΈΠΌΠΎΠ³ΠΈ:
- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π² Π°Π΄ΠΌΡΠ½ΡΡΡΡΠ°ΡΠΈΠ²Π½ΡΠΉ, ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΡΠΉ Π°Π±ΠΎ Π°ΡΠΈΡΡΠ΅Π½ΡΡΡΠΊΡΠΉ ΡΠΎΠ»Ρ Π²ΡΠ΄ 6 ΠΌΡΡΡΡΡΠ².
- ΠΠΏΠ΅Π²Π½Π΅Π½Ρ Π½Π°Π²ΠΈΡΠΊΠΈ ΡΠΎΠ±ΠΎΡΠΈ Π· Google Sheets / Excel: Π³ΡΠ°ΡΡΠΊΠΈ, Π±Π°Π·ΠΎΠ²Ρ ΡΠΎΡΠΌΡΠ»ΠΈ (SUM, VLOOKUP, IF ΡΠΎΡΠΎ), Π·Π²Π΅Π΄Π΅Π½Ρ ΡΠ°Π±Π»ΠΈΡΡ, ΡΡΠ»ΡΡΡΠΈ, ΡΠΌΠΎΠ²Π½Π΅ ΡΠΎΡΠΌΠ°ΡΡΠ²Π°Π½Π½Ρ.
- ΠΠΌΡΠ½Π½Ρ Π»ΠΎΠ³ΡΡΠ½ΠΎ ΡΡΡΡΠΊΡΡΡΡΠ²Π°ΡΠΈ Π΄Π°Π½Ρ ΡΠ° ΠΏΡΠ΄ΡΡΠΈΠΌΡΠ²Π°ΡΠΈ ΠΏΠΎΡΡΠ΄ΠΎΠΊ Π² Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°Ρ .
- ΠΠΈΡΠΎΠΊΠΈΠΉ ΡΡΠ²Π΅Π½Ρ ΠΎΡΠ³Π°Π½ΡΠ·ΠΎΠ²Π°Π½ΠΎΡΡΡ, ΡΠ²Π°ΠΆΠ½ΡΡΡΡ Π΄ΠΎ Π΄Π΅ΡΠ°Π»Π΅ΠΉ.
- ΠΠΎΡΠΎΠ²Π½ΡΡΡΡ ΠΏΡΠ°ΡΡΠ²Π°ΡΠΈ Π· ΠΏΠΎΠ²ΡΠΎΡΡΠ²Π°Π½ΠΈΠΌΠΈ Π·Π°Π΄Π°ΡΠ°ΠΌΠΈ, Π²ΠΌΡΠ½Π½Ρ Π΄ΠΎΡΡΠΈΠΌΡΠ²Π°ΡΠΈΡΡ Π΄Π΅Π΄Π»Π°ΠΉΠ½ΡΠ².
- ΠΠ½Π³Π»ΡΠΉΡΡΠΊΠ° ΠΌΠΎΠ²Π° Π½Π° ΡΡΠ²Π½Ρ Π½Π΅ Π½ΠΈΠΆΡΠ΅ B1+ (Π»ΠΈΡΡΡΠ²Π°Π½Π½Ρ, ΡΠΎΠ±ΠΎΡΠ° Π· Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΡΡΡ).
- ΠΡΠ°ΠΌΠΎΡΠ½Π° ΠΏΠΈΡΡΠΌΠΎΠ²Π° ΠΊΠΎΠΌΡΠ½ΡΠΊΠ°ΡΡΡ, Π·Π΄Π°ΡΠ½ΡΡΡΡ ΡΠ²ΠΈΠ΄ΠΊΠΎ Π²ΠΊΠ»ΡΡΠ°ΡΠΈΡΡ Π² Π½ΠΎΠ²Ρ Π·Π°Π΄Π°ΡΡ.
- ΠΠΎΠΌΠ°Π½Π΄Π½ΡΡΡΡ, Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Π»ΡΠ½ΡΡΡΡ, Π²ΡΠ΄ΠΊΡΠΈΡΡΡΡΡ Π΄ΠΎ Π·ΠΌΡΠ½.
- ΠΠ΄Π°ΡΠ½ΡΡΡΡ Π³Π΅Π½Π΅ΡΡΠ²Π°ΡΠΈ ΠΊΡΠ΅Π°ΡΠΈΠ²Π½Ρ ΡΡΡΠ΅Π½Π½Ρ Π΄Π»Ρ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΎΠ·Π²'ΡΠ·Π°Π½Π½Ρ ΡΠΎΠ±ΠΎΡΠΈΡ Π·Π°Π²Π΄Π°Π½Ρ.
- ΠΠ΄Π°ΡΠ½ΡΡΡΡ ΡΠ²ΠΈΠ΄ΠΊΠΎ ΡΠ° ΡΠΊΡΡΠ½ΠΎ ΠΎΠ±ΡΠΎΠ±Π»ΡΡΠΈ ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΡ Π² Π΄ΠΈΠ½Π°ΠΌΡΡΠ½ΠΎΠΌΡ ΡΠ΅ΡΠ΅Π΄ΠΎΠ²ΠΈΡΡ.
- ΠΡΠ΄ΡΡΠΈΠΌΠΊΠ° Π²ΠΈΡΠΎΠΊΠΎΠ³ΠΎ ΡΡΠ²Π½Ρ ΡΡΡΡΠΊΡΡΡΠΎΠ²Π°Π½ΠΎΡΡΡ Π² ΡΠΎΠ±ΠΎΡΡ ΡΠ° Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΡΡ.
- ΠΠ½Π°Π»ΡΡΠΈΡΠ½Π΅ ΠΌΠΈΡΠ»Π΅Π½Π½Ρ ΡΠ° Π²ΠΌΡΠ½Π½Ρ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΡΠ²Π°ΡΠΈ Π½Π°ΡΠ»ΡΠ΄ΠΊΠΈ ΠΏΡΠΈΠΉΠ½ΡΡΠΈΡ ΡΡΡΠ΅Π½Ρ.
- ΠΠ΄Π°ΡΠ½ΡΡΡΡ Π΄ΠΎ Π·Π°Π²ΡΠ°ΡΠ½ΠΎΠ³ΠΎ Π²ΠΈΡΠ²Π»Π΅Π½Π½Ρ ΠΏΠΎΡΠ΅Π½ΡΡΠΉΠ½ΠΈΡ ΡΠΈΠ·ΠΈΠΊΡΠ² ΡΠ° Π΄ΠΎ Π·Π°ΠΏΠΎΠ±ΡΠ³Π°Π½Π½Ρ ΠΊΡΠΈΡΠΈΡΠ½ΠΈΠΌ ΡΠΈΡΡΠ°ΡΡΡΠΌ.
ΠΡΠ΄Π΅ ΠΏΠ΅ΡΠ΅Π²Π°Π³ΠΎΡ:
- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· Confluence, Trello.
- ΠΠΎΡΠ²ΡΠ΄ ΠΏΡΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠΈ ΡΠ°Π±Π»ΠΈΡΡ Ρ Π·Π²ΡΡΡΠ² Π΄Π»Ρ ΠΊΠΎΠΌΠ°Π½Π΄/ΠΊΠ΅ΡΡΠ²Π½ΠΈΠΊΡΠ².
- Π ΠΎΠ·ΡΠΌΡΠ½Π½Ρ, ΡΠΊ ΠΏΡΠ°ΡΡΡΡΡ ΡΠ°ΠΉΡΠΈ Π· ΡΠΎΠ·ΠΌΡΡΠ΅Π½Π½Ρ Π²Π°ΠΊΠ°Π½ΡΡΠΉ ΡΠ° ΠΏΡΠΎΡΠ΅ΡΠΈ ΡΠ΅ΠΊΡΡΡΠΈΠ½Π³Ρ.
- ΠΠ°Π·ΠΎΠ²Ρ Π½Π°Π²ΠΈΡΠΊΠΈ ΡΠΎΠ±ΠΎΡΠΈ Π· ΡΠΈΡΡΠ΅ΠΌΠ°ΠΌΠΈ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ Π²Π°ΠΊΠ°Π½ΡΡΡΠΌΠΈ Π°Π±ΠΎ CRM.
- ΠΠΎΡΠ²ΡΠ΄ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ ΠΊΠΎΠΌΠ°Π½Π΄: Π»ΠΈΡΡΡΠ²Π°Π½Π½Ρ, ΠΎΠ½ΠΎΠ²Π»Π΅Π½Π½Ρ ΡΠ°Π±Π»ΠΎΠ½ΡΠ², Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΡΡ.
Π©ΠΎ ΠΌΠΈ ΠΏΡΠΎΠΏΠΎΠ½ΡΡΠΌΠΎ:
- 8-Π³ΠΎΠ΄ΠΈΠ½Π½ΠΈΠΉ ΡΠΎΠ±ΠΎΡΠΈΠΉ Π΄Π΅Π½Ρ.
- ΠΡΠ΄ΡΡΠΈΠΌΠΊΠ° work-life Π±Π°Π»Π°Π½ΡΡ:
-25 ΡΠΎΠ±ΠΎΡΠΈΡ Π΄Π½ΡΠ² Π²ΡΠ΄ΠΏΡΡΡΠΊΠΈ;
- 5 ΠΎΠΏΠ»Π°ΡΡΠ²Π°Π½ΠΈΡ Π»ΡΠΊΠ°ΡΠ½ΡΠ½ΠΈΡ Π΄Π½ΡΠ² Π½Π° ΠΌΡΡΡΡΡ Π±Π΅Π· Π½Π΅ΠΎΠ±Ρ ΡΠ΄Π½ΠΎΡΡΡ Π½Π°Π΄Π°Π½Π½Ρ Π΄ΠΎΠ²ΡΠ΄ΠΊΠΈ;
- Π»ΠΎΡΠ»ΡΠ½Π° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠ° Π΄Π΅ΠΊΡΠ΅ΡΠ½ΠΎΡ Π²ΡΠ΄ΠΏΡΡΡΠΊΠΈ.
- ΠΠ°Π½ΡΡΡΡ Π°Π½Π³Π»ΡΠΉΡΡΠΊΠΎΡ ΠΌΠΎΠ²ΠΎΡ Π· ΠΊΠ²Π°Π»ΡΡΡΠΊΠΎΠ²Π°Π½ΠΈΠΌΠΈ Π²ΠΈΠΊΠ»Π°Π΄Π°ΡΠ°ΠΌΠΈ.
- ΠΠΈΡΠΊΠΎΠ½ΡΠ½Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΈ ZONE3000: ΡΠΏΠ΅ΡΡΠ°Π»ΡΠ½Ρ Π·Π½ΠΈΠΆΠΊΠΈ Π²ΡΠ΄ Π½Π°ΡΠΈΡ ΠΏΠ°ΡΡΠ½Π΅ΡΡΠ².
- ΠΠ½ΡΡΡΡΡΠ½Ρ ΠΏΡΠΎΡΠ΅ΡΡΠΉΠ½Ρ Π²ΠΎΡΠΊΡΠΎΠΏΠΈ.
- ΠΠΎΠ΄Π°ΡΠΊΠΎΠ²Ρ ΠΏΠ΅ΡΠ΅Π²Π°Π³ΠΈ ΠΏΡΡΠ»Ρ Π·Π°ΠΊΡΠ½ΡΠ΅Π½Π½Ρ Π²ΡΠΉΠ½ΠΈ.
Π¦Ρ ΡΠΎΠ»Ρ ΠΏΠ΅ΡΠ΅Π΄Π±Π°ΡΠ°Ρ ΡΡΡΠ½Ρ Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ Π· ΡΠ΅ΠΊΡΡΡΠΌΠ΅Π½Ρ ΠΊΠΎΠΌΠ°Π½Π΄ΠΎΡ ΡΠ° ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΡΠΎΠ±ΠΈΡΠΈ Π²Π½Π΅ΡΠΎΠΊ Ρ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡΡΡ ΡΠΎΠ±ΠΎΡΠΈ ΡΡΠ»ΠΎΡ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ. Π―ΠΊΡΠΎ Π²Π°ΠΌ ΡΡΠΊΠ°Π²ΠΎ ΠΏΡΠ°ΡΡΠ²Π°ΡΠΈ Π· Π΄Π°Π½ΠΈΠΌΠΈ, Π²ΠΏΠΎΡΡΠ΄ΠΊΠΎΠ²ΡΠ²Π°ΡΠΈ ΠΏΡΠΎΡΠ΅ΡΠΈ ΡΠ° ΠΏΡΠ΄ΡΡΠΈΠΌΡΠ²Π°ΡΠΈ ΠΊΠΎΠΌΠ°Π½Π΄Ρ Ρ Π²ΠΈΡΡΡΠ΅Π½Π½Ρ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΠΈΡ Π·Π°Π²Π΄Π°Π½Ρ, Π±ΡΠ΄Π΅ΠΌΠΎ ΡΠ°Π΄Ρ ΡΠΏΡΠ²ΠΏΡΠ°ΡΡ!
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ZONE3000 is a 2400+ people family that forms a new cultural code in the software development business. For 25 years we have been focusing on the highest quality of projects and empowering people to think big and make a difference. We are looking for talents who want to create and improve technological solutions for tomorrow and make things as best possible.
Website:
https://zone3000.net/