Jobs Kyiv
9-
Β· 26 views Β· 1 application Β· 26d
Product Analyst (iOS and Web Analytics)
Countries of Europe or Ukraine Β· Product Β· 3 years of experience Β· Upper-Intermediate Ukrainian Product πΊπ¦MacPaw is a software company that develops and distributes software for macOS and iOS. Today, we have 20 million active users across all our products. At MacPaw, we believe humans and technology can reach their greatest potential together. MacPaw is...MacPaw is a software company that develops and distributes software for macOS and iOS. Today, we have 20 million active users across all our products.
At MacPaw, we believe humans and technology can reach their greatest potential together.
MacPaw is proud to be Ukrainian. The support and development of Ukraine are significant parts of the companyβs culture. MacPaw gathers open-minded people who support each other and aspire to change the world around us.
Weβre looking for a Product Analyst with strong expertise in iOS and web analytics to join our Analytics Team. You will work closely with the CleanMyPhone product team - as the product enters its next growth stage, it needs a data-savvy individual who understands how to drive scale through informed decision-making, particularly in optimizing Facebook traffic acquisition and budget efficiency.
Youβll be working on CleanMyPhone at an exciting growth stage with a clear opportunity to make your impact. If you thrive at the intersection of data, mobile growth, and product strategy, this role is for you!
In this role, you will:
- Own the analytics infrastructure for the product, including data collection, processing, storage, and security across both iOS and web platforms.
- Deliver actionable insights by analyzing product performance, user behavior, market trends, and growth opportunities.
- Support scaling efforts by evaluating and optimizing FB traffic acquisition strategies and ensuring effective budget use.
- Design and maintain dashboards, reports, and anomaly detection systems to monitor key metrics and ensure data visibility for the product team.
- Validate product hypotheses and A/B test results to guide smarter product development decisions.
- Define and advise on relevant KPIs and success metrics to track progress toward team and business goals.
- Educate and align the product marketing team on analytics concepts, metrics, and tools by providing training and clear documentation.
Skills youβll need to bring:
- Mobile app marketing analytics (Firebase, AppsFlyer - setup, understanding attribution).
- High level of SQL.
- Web Analytics & Tracking (GA/GTM).
- Deep understanding of marketing metrics and Meta Ads traffic attribution models (SKAD, web2app, web2web), and how these metrics affect business results.
- BI Tools (we use Looker).
- Creating reports for different levels of decision-making.
- Searching for insights in data and investigating root causes of changes.
- Planning and analyzing experiments, knowledge of statistics, and probability theory.
Critical, systemic, and analytical thinking.
As a plus:
- Python/R, DBT.
- Experience in adapting analytics to GDPR requirements.
- Experience in working with Google Ads, ASA, Affiliate marketing.
- Unit economics.
- Google Tag Manager (+Server Side).
- Growthbook.
What we offer:*- We are a Ukrainian company, and we stand with Ukraine against the russian aggression
We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. MacPaw Foundation intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible. - We are committed to our veterans
Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve. - Hybrid work model
Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process. - Your health always comes first
We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses. - Flexible working hours
You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation. - Space to grow both professionally and personally
Whatever your dreams and aspirations are, we have you covered. Education opportunities to grow both hard and soft skills, annual development reviews, and internal community. - Teams we are proud of
We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback. - Office designed for people (and pets)
Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office, and you are welcome to bring your pets to the office (we have separate floors for cats and dogs). - Time-off policy that covers lifeβs needs
Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw. - Join social initiatives with MacPawCares
MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place. - Weβre an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
*Some benefits are under development with adjustments possible in 2025.
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Β· 26 views Β· 3 applications Β· 17d
Financial/Payment Manager (Genesis)
Ukraine Β· Product Β· 2 years of experience Β· Upper-IntermediateWe are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones. Currently, we are looking for an experienced...We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones.
Currently, we are looking for an experienced Financial & Payment manager for Genesis.
Company domain: ITLocation: Kyiv
Job Type: Full-time
Genesis β is a full-cycle international product ΠΠ’-company. Over 3000 people in 8 countries create products for 400 million users monthly. We are the most high-loaded company in the country and one of the largest partners of Facebook, Google, Snapchat, and Apple in the CEE region.The rΠΎle has a verΡ substantial & direct impact ΠΎn ΠΎverall financial perfΠΎrmance, linked tΠΎ prΠΎduct management & business develΠΎpment (nΠΎt related tΠΎ the classic treasurΡ functiΠΎn).
Financial & PaΡment Manager is ΠΎne ΠΎf the keΡ pΠΎsitiΠΎns respΠΎnsible fΠΎr ΠΎverseeing & imprΠΎving paΡment ΠΎperatiΠΎns bΡ analΡzing large & cΠΎmplex data sets, drawing insights & cΠΎnclusiΠΎns, cΠΎllabΠΎrating with crΠΎss-functiΠΎnal teams ΠΎn the C-level & negΠΎtiating with external cΠΎunterparts: banks, ΠΎther financial institutiΠΎns. YΠΎu will have a verΡ impΠΎrtant & central rΠΎle in driving paΡment efficiencΡ thrΠΎugh sΠΎurcing & implementing initiatives elabΠΎrated thrΠΎugh cΠΎΠΎperatiΠΎn with variΠΎus prΠΎduct teams.If ΡΠΎu are sΠΎmeΠΎne whΠΎ thrives in a start-up culture, enjΠΎΡs wΠΎrking with crΠΎss-functiΠΎnal teams, enjΠΎΡs prΠΎblem-sΠΎlving mΠΎde & result-ΠΎriented persΠΎn we want tΠΎ hear frΠΎm ΡΠΎu!
What we ΠΎffer:- Steep learning curve: wΠΎrk ΠΎn new exciting Genesis prΠΎduct with nΠΎ rΠΎutine tasks β everΡ daΡ brings new challenges and ΠΎppΠΎrtunities;
- High-impact cΠΎllabΠΎratiΠΎn: Partner directlΡ with C-level executives frΠΎm the prΠΎject whΠΎ lead bΡ example, inspiring and driving future achievements;
- Career ΠΎppΠΎrtunities: be part ΠΎf a rapidlΡ grΠΎwing team, where ΡΠΎuβll have theΠΎppΠΎrtunitΡ tΠΎ lead E2E prΠΎject tasks and cΠΎntribute tΠΎ ΠΎur grΠΎwth trajectΠΎrΡ.
RespΠΎnsibilities:Overarching respΠΎnsibilitΡ is tΠΎ lead Financial & PaΡment StrategΡ & its ExecutiΠΎn end-tΠΎ-end: Oversee and ΠΎptimize financial & paΡment prΠΎcess, drive efficiencΡ bΡ in-hΠΎuse sΠΎurcing & implementing crΠΎss-functiΠΎnal initiatives based ΠΎn data-driven insights & external cΠΎllabΠΎratiΠΎns.
KeΡ functiΠΎns & prΠΎcesses tΠΎ deliver:- Data analΡsis: AnalΡze & interpret large data sets related tΠΎ financial and paΡment data tΠΎ identifΡ trends, insights, and ΠΎppΠΎrtunities fΠΎr business grΠΎwth.
- PrΠΎcess OptimizatiΠΎn: DevelΠΎp and implement streamlined financial and paΡment wΠΎrkflΠΎws, leveraging technΠΎlΠΎgΡ, benchmarking knΠΎwledge & insights tΠΎ enhance effectiveness & reduce inefficiencies.
- Business DevelΠΎpment: Market analΡsis ΠΎf paΡment prΠΎviders & searching fΠΎr ΠΎppΠΎrtunities tΠΎ expand and diversifΡ the pΠΎrtfΠΎliΠΎ ΠΎf paΡment methΠΎds. NegΠΎtiate with paΡment prΠΎviders & internatiΠΎnal banks.
- CrΠΎss-Departmental CΠΎllabΠΎratiΠΎn: WΠΎrk clΠΎselΡ with the prΠΎduct, technical & marketing teams tΠΎ prΠΎvide financial & paΡment insights, influence keΡ business decisiΠΎns & implement initiatives.
- RepΠΎrting: Create, maintain, and ΠΎwn cΠΎmprehensive paΡment repΠΎrting, tracking paΡment flΠΎw, discrepancies & trends. Ensure repΠΎrts are timelΡ, accurate, and actiΠΎnable. Present findings and prΠΎvide insights fΠΎr imprΠΎvement.
Hard Skills:- 2+ Ρears ΠΎf experience in financial services (big-4), management cΠΎnsulting, transactiΠΎns suppΠΎrt;
- AbilitΡ tΠΎ decΠΎmpΠΎse, analΡze and interpret large data-sets, keΡ financial and ΠΎperatiΠΎnal business metrics;
- High prΠΎficiencΡ in Excel (including fΠΎrmulas, pivΠΎt tables, data analΡsis tΠΎΠΎls, etc.)
- AbilitΡ tΠΎ wΠΎrk cΠΎllabΠΎrativelΡ with crΠΎss-functiΠΎnal teams.
- StrΠΎng quantitative, analΡtical and prΠΎblem-sΠΎlving skills;
- Upper-Intermediate level ΠΎf English.
WΠΎuld be a plus:- PaΡment PrΠΎcessing SΡstems: Experience with paΡment gatewaΡs, and subscriptiΠΎn-based billing platfΠΎrms (e.g., Stripe, PaΡPa).
- CΠΎmpliance KnΠΎwledge: KnΠΎwledge ΠΎf financial industrΡ standards, particularlΡ related tΠΎ paΡment prΠΎcessing and e-cΠΎmmerce.
Benefits:- Services ΠΎf a cΠΎrpΠΎrate dΠΎctΠΎr, and after the prΠΎbatiΠΎnarΡ periΠΎd β health insurance in Ukraine;
- 20 wΠΎrking daΡs ΠΎf paid vacatiΠΎn per Ρear, unlimited sick leave;
- All equipment necessarΡ fΠΎr wΠΎrk;
- Access tΠΎ tΠΎp-tier cΠΎurses, cΠΎrpΠΎrate ΠΎnline meetups, lectures, a cΠΎmprehensive librarΡ, and 11 prΠΎfessiΠΎnal internal cΠΎmmunities fΠΎr career develΠΎpment;
- CΠΎmfΠΎrtable ΠΎffices in KΡivβs PΠΎdil district with secure shelters. In the ΠΎffices, ΡΠΎu dΠΎnβt have tΠΎ wΠΎrrΡ abΠΎut the rΠΎutine: breakfasts, lunches, lΠΎts ΠΎf snacks and fruits, lΠΎunges, massages and ΠΎther benefits ΠΎf ΠΎffice life are waiting fΠΎr ΡΠΎu π
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Weβll review your CV and everything you have sent us within five working days. If your background meets our needs β weβll set up a call to get to know each other better. Otherwise, we arenβt quite ready for you at this moment. But no worries β our journey has just started, and weβd love to stay in touch as our team grows and more opportunities emerge. We wish you the best of luck with your aspiration. -
Β· 52 views Β· 6 applications Β· 26d
Senior Analyst
Worldwide Β· Product Β· 5 years of experience Β· IntermediateZeeks is looking for a highly driven and experienced Senior Analyst to be the founding member of our analytics team. This role is ideal for someone who thrives in a greenfield environment and wants to have a direct impact on how data is used to drive...Zeeks is looking for a highly driven and experienced Senior Analyst to be the founding member of our analytics team. This role is ideal for someone who thrives in a greenfield environment and wants to have a direct impact on how data is used to drive decision-making across the company. You will work closely with leadership to design and implement the analytics function, define processes, set up data infrastructure, and create a system that delivers actionable insights across all business areas.
As the first analytics hire, you will initially build foundational elements yourself while developing a strategic roadmap for the teamβs growth. Over time, you will transition into leading the Analytics and Data Engineering department, hiring and managing additional team members to support the companyβs data needs.Must have skills and qualifications:
- 5+ years of experience in data analytics roles, focusing on product analytics (analyzing user behavior, product funnels, A/B testing, feature adoption).
- Strong background in web analytics, user behavior analysis, and conversion optimization.
- Extensive experience with SQL and proficiency in extracting, transforming, and analyzing large datasets.
- Hands-on experience with Python for data analysis, data collection, and transformation.
- Understanding of data warehousing concepts and best practices.
- Proficiency with BI tools (Tableau, Power BI, Looker, or similar).
- Knowledge of ETL processes and data pipeline development concepts.
- Understanding of statistical analysis and ability to derive meaningful insights from data.
- Experience in the affiliate marketing, iGaming, or similar performance-driven digital marketing sectors is highly desirable.
- English B1+
Nice to have:
- Experience building a product analytics function or capability from the ground up.
- Background in the iGaming or affiliate marketing industries.
- Knowledge of digital marketing channels, attribution models, and performance metrics, and how they relate to product funnels.
- Sufficient understanding of data engineering principles to effectively collaborate with future data engineering hires on building scalable data solutions.
- Team leadership or management experience.
Knowledge of cloud-based data solutions (GCP, AWS, Azure) and their application for analytics.
Responsibilities:
- Strategic Planning:
- Develop a comprehensive product analytics and data strategy aligned with business and product objectives.
- Create roadmaps for analytics tooling, data requirements for product insights, and team expansion.
Identify key performance indicators and metrics that drive business success in the affiliate marketing space.
- Data Infrastructure Vision:
- Work with leadership to outline data architecture requirements and plan for implementation.
- Define data requirements for a centralized data warehouse (DWH) to enable robust analysis of product usage, user journeys, and feature adoption.
Develop specifications for data infrastructure, particularly for product event tracking and user behavior data, that will later be implemented and scaled in collaboration with a data engineer (to be hired).
- Analytics Implementation:
- Set up web analytics tracking to capture user behavior across our portfolio of websites.
- Implement marketing analytics frameworks to measure campaign performance and ROI.
- Perform advanced data analysis to uncover insights about user behavior, conversion funnels, and acquisition channels.
Design, implement, and analyze A/B tests and other experiments to optimize product features, user experience, and conversion funnels.
- Reporting & Insights:
- Develop standardized reporting systems for key stakeholders.
- Build dashboards and visualization solutions using BI tools like Tableau, Power BI, or similar.
Present findings to executive leadership and translate technical concepts into business value.
- Team Building:
- Define roles and responsibilities for a growing data team.
- Develop hiring plans and timelines for expanding the analytics function, particularly identifying when to bring in a dedicated data engineer.
- Mentor and manage future team members.
Benefits of the Role:
- An opportunity to build an analytics system from scratch and influence the strategic development of the companyβs products.
- A perspective to lead the analytics department in the future.
- Personal & Professional Growth β A unique opportunity to achieve your career, financial, and personal ambitions.
- Competitive financial compensation, fixed in foreign currency, with performance-based reviews.
- Possibility of deferral from military service with valid military registration documents.
- Time-off up to 25 days, 5 sick leaves (without certificates).
- Annual budget for learning and professional development.
- Annual wellbeing deposit that covers expenses for medical services, sports activities, veterinary care, foreign language courses, non-work-related education, hobbies, and childcare services (nanny/kindergarten).
Send your CV and letβs meet for an interview!
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Β· 19 views Β· 1 application Β· 5d
Sales Operations Specialist
Poland, Ukraine Β· Product Β· 1 year of experience Β· Upper-Intermediate Ukrainian Product πΊπ¦We are looking for a sharp, logical, and highly organized Sales Operations Specialist to streamline and enhance our sales and marketing operations. The ideal candidate will have excellent analytical skills, strong business acumen, and outstanding...We are looking for a sharp, logical, and highly organized Sales Operations Specialist to streamline and enhance our sales and marketing operations.
The ideal candidate will have excellent analytical skills, strong business acumen, and outstanding English communication. You will play a key role in building scalable sales processes, improving data accuracy, and aligning sales and marketing efforts to drive revenue growth.
If you thrive on solving complex problems, creating order from chaos, and driving efficiency β this role is for you.
What you'll do (responsibilities)
- Sales Enablement & Strategy
Develop and manage sales playbooks, define the buyerβs journey, and improve forecasting accuracy in collaboration with the Head of Sales.
- CRM & Data Management
Maintain clean and reliable CRM data, monitor changes in key contacts, and support hypothesis testing to refine the Ideal Customer Profile (ICP).
- Sales Content & Tools Development
Create demo environments, tailored presentations, competitor battlecards, and customer case studies to support the sales process.
- Cross-functional Collaboration
Work closely with Marketing to align sales and marketing funnels and continuously refine outbound strategies.
- Reporting & Process Optimization
Build dashboards to track key sales metrics and implement streamlined processes to boost sales and marketing efficiency.
What we look for (requirements)
- 1+ years of experience in Sales/Revenue/Data Operations, Business Analysis or a similar role.
- Strong analytical and problem-solving skills with a data-driven mindset.
- Excellent communication skills in English β both written and verbal.
- Proficiency in CRM platforms (ideally HubSpot) and sales automation tools.
- Ability to work independently, prioritize tasks, and manage multiple projects simultaneously.
- Experience creating sales enablement content such as playbooks, battlecards, and case studies.
- Strong understanding of sales forecasting and data analysis techniques.
Nice-to-have skills
- Experience in B2B SaaS or tech industry.
- Familiarity with account-based marketing (ABM) strategies.
- Experience working closely with both sales and marketing teams.
Why you'll love working at Precoro:
- Trust-based management: No micromanagementβyour ideas and initiatives are always encouraged.
- Supportive team culture: You're not alone, our team is open, honest, and always ready to help.
- Reimbursement for professional learning: We invest in your growth through courses, lectures, and more.
- Flexible hours: We care about results, not how long you sit at your desk.
- 26 days off annually (15 vacation days + 11 public holidays): Work-life balance is a priority for us.
- Medical insurance (after six months) and Unlimited sick leave without requiring a medical certificate. Your health matters most.
- Pet-friendly offices in Warsaw and Kyiv: Love your furry friend? Bring them along!
- Supporting Ukraine: We proudly assist the Armed Forces and contribute to projects that bring victory closer.
Hiring Process
Our hiring is quick and straightforward:
- Recruiter interview (30β45 minutes)
- Interview with Head of Sales (1 hour)
- Test task
If youβre strategic, detail-oriented, and ready to make an impact β we want to hear from you!
Join a team that values trust, transparency, and open communication.We foster an environment where everyone is encouraged to contribute ideas, challenge the status quo, and drive business growth!
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Β· 43 views Β· 3 applications Β· 28d
Market Researcher
Ukraine Β· Product Β· 1 year of experience Ukrainian Product πΊπ¦ΠΡΠΈΠ²ΡΡ! ΠΠΈ Π² Universe Group ΡΡΠΊΠ°ΡΠΌΠΎ Market ResearcherβΠ°, ΡΠΊΠΈΠΉ/-Π° Π΄ΠΎΠΏΠΎΠΌΠΎΠΆΠ΅ Π½Π°ΠΌ Π·ΡΠΎΡΡΠ°ΡΠΈ Π·Π°Π²Π΄ΡΠΊΠΈ Π³Π»ΠΈΠ±ΠΎΠΊΠΎΠΌΡ Π°Π½Π°Π»ΡΠ·Ρ ΡΠΈΠ½ΠΊΡ. Π¦Ρ ΡΠΎΠ»Ρ Ρ ΠΊΠ»ΡΡΠΎΠ²ΠΎΡ Π΄Π»Ρ Π±ΡΠ·Π½Π΅ΡΡ Π² ΡΠ°ΠΌΠΊΠ°Ρ ΡΠΊΠΎΡ ΡΠΈ Π±ΡΠ΄Π΅Ρ Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°ΡΠΈ Π·Π° Π²ΠΈΡΠ²Π»Π΅Π½Π½Ρ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΈΡ Π½ΡΡ ΡΠ΅ Π½Π° ΡΠ°Π½Π½ΡΠΉ ΡΡΠ°Π΄ΡΡ, Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ...ΠΡΠΈΠ²ΡΡ!
ΠΠΈ Π² Universe Group ΡΡΠΊΠ°ΡΠΌΠΎ Market ResearcherβΠ°, ΡΠΊΠΈΠΉ/-Π° Π΄ΠΎΠΏΠΎΠΌΠΎΠΆΠ΅ Π½Π°ΠΌ Π·ΡΠΎΡΡΠ°ΡΠΈ Π·Π°Π²Π΄ΡΠΊΠΈ Π³Π»ΠΈΠ±ΠΎΠΊΠΎΠΌΡ Π°Π½Π°Π»ΡΠ·Ρ ΡΠΈΠ½ΠΊΡ. Π¦Ρ ΡΠΎΠ»Ρ Ρ ΠΊΠ»ΡΡΠΎΠ²ΠΎΡ Π΄Π»Ρ Π±ΡΠ·Π½Π΅ΡΡ Π² ΡΠ°ΠΌΠΊΠ°Ρ ΡΠΊΠΎΡ ΡΠΈ Π±ΡΠ΄Π΅Ρ Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°ΡΠΈ Π·Π° Π²ΠΈΡΠ²Π»Π΅Π½Π½Ρ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΈΡ Π½ΡΡ ΡΠ΅ Π½Π° ΡΠ°Π½Π½ΡΠΉ ΡΡΠ°Π΄ΡΡ, Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΡΠ΅Π΄ΠΎΠ²ΠΈΡΠ° ΡΠ° ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΠΈΡ Ρ ΠΌΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³ΠΎΠ²ΠΈΡ ΠΏΡΠ°ΠΊΡΠΈΠΊ, Π° ΡΠ°ΠΊΠΎΠΆ Π°Π½Π°Π»ΡΠ· ΡΠΈΠ½ΠΊΠΎΠ²ΠΈΡ ΡΡΠ΅Π½Π΄ΡΠ². Π¦Π΅ ΠΊΡΡΡΠ° ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ Π²ΠΏΠ»ΠΈΠ²Π°ΡΠΈ Π½Π° ΡΡΡΠ°ΡΠ΅Π³ΡΡΠ½Ρ ΡΡΡΠ΅Π½Π½Ρ ΡΠ° Π±ΡΡΠΈ ΡΠ°ΡΡΠΈΠ½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠ½ΠΎΠ³ΠΎ ΡΠΎΡΡΡ ΡΠΊ ΡΡΠ½ΡΡΡΠΈΡ ΡΠ°ΠΊ Ρ Π½ΠΎΠ²ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ².
ΠΡΠΎ Π½Π°Ρ:
Universe Group Π±ΡΠ΄ΡΡ tech-Π±ΡΠ·Π½Π΅ΡΠΈ, ΠΏΠ΅ΡΠ΅ΡΠ²ΠΎΡΡΡΡΠΈ ΡΠ΄Π΅Ρ Π½Π° Π³Π»ΠΎΠ±Π°Π»ΡΠ½Ρ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈ. ΠΠΎ Π³ΡΡΠΏΠΈ Π²Ρ ΠΎΠ΄ΡΡΡ ΡΡΠΈ ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ: Guru Apps, FORMA ΡΠ° Wisey. ΠΠ°ΡΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈ ΠΎΠ±βΡΠ΄Π½ΡΡΡΡ ΠΏΠΎΠ½Π°Π΄ 200 ΠΌΡΠ»ΡΠΉΠΎΠ½ΡΠ² ΠΊΠΎΡΠΈΡΡΡΠ²Π°ΡΡΠ² Π·Ρ 180 ΠΊΡΠ°ΡΠ½ ΡΠ²ΡΡΡ, ΡΠΏΡΠΎΡΡΡΡΠΈ Π±ΡΠ΄Π΅Π½Π½ΡΡΡΡ Ρ ΡΡΠ²ΠΎΡΡΡΡΠΈ Π½ΠΎΠ²Ρ ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΡ Π΄Π»Ρ ΡΠΎΠ·Π²ΠΈΡΠΊΡ.
Π’Π°ΠΊΠΎΠΆ ΠΌΠΈ ΡΠΎΠ·Π²ΠΈΠ²Π°ΡΠΌΠΎ Π²Π»Π°ΡΠ½ΠΈΠΉ R&D-ΡΠ΅Π½ΡΡ, ΡΠΊΠΈΠΉ ΡΠΎΠΊΡΡΡΡΡΡΡΡ Π½Π° Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ Π½ΠΎΠ²ΠΈΡ ΡΠ΄Π΅ΠΉ, Π²ΠΏΡΠΎΠ²Π°Π΄ΠΆΠ΅Π½Π½Ρ ΡΠ½Π½ΠΎΠ²Π°ΡΡΠΉΠ½ΠΈΡ ΡΡΡΠ΅Π½Ρ ΡΠ° Π·Π°ΠΏΡΡΠΊΡ Π±ΡΠ·Π½Π΅ΡΡΠ², ΡΠΎ Π±ΡΠ΄ΡΡΡ ΡΠ°ΡΡΠΈΠ½ΠΎΡ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎΠ³ΠΎ ΡΠΈΠ½ΠΊΡ.
Π£ ΡΠ΅Π±Π΅ Π±ΡΠ΄ΡΡΡ ΡΠ°ΠΊΡ Π·Π°Π΄Π°ΡΡ:
- ΠΌΠΎΠ½ΡΡΠΎΡΠΈΠ½Π³ ΡΠΈΠ½ΠΊΠΎΠ²ΠΈΡ Π½ΡΡ Π½Π° ΠΏΡΠ΅Π΄ΠΌΠ΅Ρ Π·Π°ΠΏΡΡΠΊΡ Π½ΠΎΠ²ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ²;
- ΠΌΠΎΠ½ΡΡΠΎΡΠΈΠ½Π³ ΡΡΡΡΠΊΡΡΡΠΈ ΡΠ° Π΄ΠΈΠ½Π°ΠΌΡΠΊΠΈ ΠΎΡΠ½ΠΎΠ²Π½ΠΈΡ ΠΊΠ°Π½Π°Π»ΡΠ² Π·Π°Π»ΡΡΠ΅Π½Π½Ρ ΡΡΠ°ΡΡΠΊΡ ΠΊΠ»ΡΡΠΎΠ²ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ² Π² ΡΡΠ»ΡΠΎΠ²ΠΈΡ ΡΠΈΠ½ΠΊΠΎΠ²ΠΈΡ Π½ΡΡΠ°Ρ ;
- ΠΠΈΡΠ²Π»Π΅Π½Π½Ρ ΡΠ΅Π½Π΄Π΅Π½ΡΡΠΉ Π² ΠΌΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³ΠΎΠ²ΠΈΡ ΡΡΡΠ°ΡΠ΅Π³ΡΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΠΈΡ Π³ΡΠ°Π²ΡΡΠ² ΡΠΈΠ½ΠΊΡ;
- ΠΠΈΡΠ²Π»Π΅Π½Π½Ρ Ρ Π°Π½Π°Π»ΡΠ· ΠΊΠ²ΡΠ·ΠΎΠ²ΠΈΡ Π²ΠΎΡΠΎΠ½ΠΎΠΊ;
- ΠΠΈΠ²ΡΠ΅Π½Π½Ρ Ρ Π°Π½Π°Π»ΡΠ· ΠΏΡΠ°ΠΊΡΠΈΠΊ ΡΠ° ΠΏΡΠ΄Ρ ΠΎΠ΄ΡΠ², ΡΠΎ Π²ΠΈΠΊΠΎΡΠΈΡΡΠΎΠ²ΡΡΡΡΡΡ Π² ΠΏΡΠΎΡΠ΅ΡΡ user onboarding;
- Π°Π½Π°Π»ΡΠ· ΡΡΠ½ΡΡΡΠΈΡ ΡΡΠ½ΠΎΠ²ΠΈΡ ΠΏΠΎΠ»ΡΡΠΈΠΊ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ²;
- ΠΠΈΡΠ²Π»Π΅Π½Π½Ρ ΡΠ° Π°Π½Π°Π»ΡΠ· ΠΊΠ»ΡΡΠΎΠ²ΠΈΡ Π·ΠΌΡΠ½ Ρ value proposition ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ²;
- ad-hoc Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ ΠΏΠΎΡΠ΅Π½ΡΡΠΉΠ½ΠΎ ΠΏΡΠΈΠ²Π°Π±Π»ΠΈΠ²ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΠΈΡ Π½ΡΡ.
ΠΠΈ ΠΎΡΡΠΊΡΡΠΌΠΎ, ΡΠΎ ΡΠΈ ΠΌΠ°ΡΡ:
- ΠΠΎΡΠ²ΡΠ΄ Π²ΡΠ΄ 1 ΡΠΎΠΊΡ Ρ ΡΡΠ΅ΡΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Ρ, Π°Π½Π°Π»ΡΡΠΈΠΊΠΈ, ΠΌΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³Ρ ΡΠΈ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΠΎΠΌΡ ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΡ.
- Π ΠΎΠ·Π²ΠΈΠ½ΡΡΡ Π°Π½Π°Π»ΡΡΠΈΡΠ½Ρ Π½Π°Π²ΠΈΡΠΊΠΈ β Π²ΠΌΡΡΡ ΠΏΡΠ°ΡΡΠ²Π°ΡΠΈ Π· Π΄Π°Π½ΠΈΠΌΠΈ, Π±Π°ΡΠΈΡΠΈ ΡΠΈΡΡΠ΅ΠΌΠ½Ρ Π·Π°ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΎΡΡΡ ΡΠ° Π±ΡΠ΄ΡΠ²Π°ΡΠΈ ΠΏΡΠΈΡΠΈΠ½Π½ΠΎ-Π½Π°ΡΠ»ΡΠ΄ΠΊΠΎΠ²Ρ Π·Π²βΡΠ·ΠΊΠΈ;
- ΠΠ°Π·ΠΎΠ²Π΅ ΡΠΎΠ·ΡΠΌΡΠ½Π½Ρ ΠΌΠΎΠ½Π΅ΡΠΈΠ·Π°ΡΡΡ B2C ΡΠΈΡΡΠΎΠ²ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ²;
- ΠΠ°Π·ΠΎΠ²Π΅ ΡΠΎΠ·ΡΠΌΡΠ½Π½Ρ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΏΡΠΎΡΡΠ²Π°Π½Π½Ρ B2C ΡΠΈΡΡΠΎΠ²ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ²;
- ΠΠΎΡΠ²ΡΠ΄ ΡΠ° ΡΡΠΊΠ°Π²ΡΡΡΡ Π΄ΠΎ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ AI-ΡΠ½ΡΡΡΡΠΌΠ΅Π½ΡΡΠ² (ChatGPT ΡΠ° ΡΠ½.) Π΄Π»Ρ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΡΡ ΡΠ° ΠΎΠΏΡΠΈΠΌΡΠ·Π°ΡΡΡ ΡΠΎΠ±ΠΎΡΠΈ;
- ΠΠΎΡΠΎΠ²Π½ΡΡΡΡ Ρ Π²ΠΌΡΠ½Π½Ρ ΡΠ²ΠΈΠ΄ΠΊΠΎ Π½Π°Π²ΡΠ°ΡΠΈΡΡ;
- Π‘ΠΈΠ»ΡΠ½Ρ ΠΊΠΎΠΌΡΠ½ΡΠΊΠ°ΡΡΠΉΠ½Ρ Π½Π°Π²ΠΈΡΠΊΠΈ β Π²ΠΌΡΡΡ ΡΡΡΠΊΠΎ ΡΠΎΡΠΌΡΠ»ΡΠ²Π°ΡΠΈ Π΄ΡΠΌΠΊΠΈ, Π°ΡΠ³ΡΠΌΠ΅Π½ΡΡΠ²Π°ΡΠΈ ΡΡΡΠ΅Π½Π½Ρ ΡΠ° Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ ΠΏΡΠ°ΡΡΠ²Π°ΡΠΈ Π² ΠΊΠΎΠΌΠ°Π½Π΄Ρ.
ΠΡΠ΄Π΅ ΠΏΠ΅ΡΠ΅Π²Π°Π³ΠΎΡ:
- Π ΠΎΠ·ΡΠΌΡΠ½Π½Ρ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΠΈΡ ΡΠ° ΠΌΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³ΠΎΠ²ΠΈΡ ΠΌΠ΅ΡΡΠΈΠΊ (CPM, CTR, CPA, ARPU, ARPPU, LTV, retention Ρ Ρ.Π΄.);
- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· AppMagic, SensorTower, Facebook Ads Library, SimilarWeb, Semrush Ρ Ρ.Π΄.
Π©ΠΎ ΠΌΠΈ ΠΏΡΠΎΠΏΠΎΠ½ΡΡΠΌΠΎ:
- ΠΡΠ΄Π΄Π°Π»Π΅Π½ΠΈΠΉ Π°Π±ΠΎ Π³ΡΠ±ΡΠΈΠ΄Π½ΠΈΠΉ ΡΠΎΡΠΌΠ°Ρ ΡΠΎΠ±ΠΎΡΠΈ β ΡΠ΅ ΠΏΠ΅ΡΠ΅Π΄Π±Π°ΡΠ°Ρ Π²ΡΠ΄Π²ΡΠ΄ΡΠ²Π°Π½Π½Ρ ΠΎΡΡΡΡ 2-3 ΡΠ°Π·ΠΈ Π½Π° ΡΠΈΠΆΠ΄Π΅Π½Ρ. Π Π½Π°ΡΠΎΠΌΡ ΠΎΡΡΡΡ Ρ ΠΠΈΡΠ²Ρ Ρ Π½Π°Ρ Ρ Π²ΡΠ΅ Π΄Π»Ρ ΡΠ²ΠΎΡΡ ΠΊΠΎΠΌΡΠΎΡΡΠ½ΠΎΡ ΡΠΎΠ±ΠΎΡΠΈ, Π° ΡΠ°ΠΌΠ΅: ΡΠ½ΡΠ΄Π°Π½ΠΊΠΈ, ΠΎΠ±ΡΠ΄ΠΈ, Π΄ΠΎΡΡΠΆΠΊΠΈ Π΄Π»Ρ Ρ ΠΎΠ΄ΡΠ½Π½Ρ, silent room Π΄Π»Ρ ΡΠΎΠΊΡΡΠ° ΡΠ²Π°Π³ΠΈ β ΡΠ΅ Π΄Π°Π»Π΅ΠΊΠΎ Π½Π΅ Π²ΡΠ΅, ΡΠΎ ΡΠ΅ΠΊΠ°Ρ Π½Π° ΡΠ΅Π±Π΅ Π² Π½Π°ΡΠΎΠΌΡ ΡΠΏΠ΅ΠΉΡΡ. ΠΠ»ΠΈΠΆΡΠ΅ ΠΏΠΎΠ·Π½Π°ΠΉΠΎΠΌΠΈΡΠΈΡΡ Π· ΠΎΡΡΡΠΎΠΌ ΠΌΠΎΠΆΠ½Π° ΠΏΠ΅ΡΠ΅Π³Π»ΡΠ½ΡΠ²ΡΠΈ ΡΠ΅ Π²ΡΠ΄Π΅ΠΎ Π°Π±ΠΎ ΠΏΡΠΎΡΠΈΡΠ°Π²ΡΠΈ ΡΡΠ°ΡΡΡ.
- Π ΠΎΠ·Π²ΠΈΡΠΎΠΊ ΡΠ° Π½Π°Π²ΡΠ°Π½Π½Ρ β ΡΠ²ΡΠΉ ΡΡΡΡ Π²ΠΈΠ·Π½Π°ΡΠ°Ρ ΡΡΠΏΡΡ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ. ΠΠ½ΡΡΡΡΡΠ½Ρ ΡΡΠ΅Π½ΡΠ½Π³ΠΈ ΡΠ° ΠΊΡΠ°ΡΡ Π΅ΠΊΡΠΏΠ΅ΡΡΠΈ Π· Π£ΠΊΡΠ°ΡΠ½ΠΈ ΡΠ° ΡΠ²ΡΡΡ Π΄ΠΎΠΏΠΎΠΌΠΎΠΆΡΡΡ ΡΠ²ΠΈΠ΄ΠΊΠΎ ΠΏΡΠΎΠΊΠ°ΡΠ°ΡΠΈ Π½Π°Π²ΠΈΡΠΊΠΈ.
- ΠΠ°ΡβΡΡΠ½Π΅ Π·ΡΠΎΡΡΠ°Π½Π½Ρ β Ρ Π½Π°Ρ ΠΊΡΠ»ΡΡΡΡΠ° ΡΠ²ΠΈΠ΄ΠΊΠΎΠ³ΠΎ ΡΠΎΠ·Π²ΠΈΡΠΊΡ: Π΄ΠΎ 10 ΠΌΠ΅Π½Π΅Π΄ΠΆΠ΅ΡΡΠ² ΡΠΎΡΠΎΠΊΡ ΠΎΡΡΠΈΠΌΡΡΡΡ ΠΏΡΠ΄Π²ΠΈΡΠ΅Π½Π½Ρ. ΠΡΠ΅ Π·Π°Π»Π΅ΠΆΠΈΡΡ Π²ΡΠ΄ ΡΠ²ΠΎΠ³ΠΎ Π±Π°ΠΆΠ°Π½Π½Ρ ΡΠ° ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡΠ².
- Π Π΅Π»ΠΎΠΊΠ°ΡΡΠΉΠ½ΠΈΠΉ ΠΏΠ°ΠΊΠ΅Ρ β ΠΊΠΎΠΌΡΠΎΡΡΠ½ΠΈΠΉ ΠΏΠ΅ΡΠ΅ΡΠ·Π΄ Π΄ΠΎ ΠΠΈΡΠ²Π° Π°Π±ΠΎ ΠΠ°ΡΡΠ°Π²ΠΈ Π· ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΎΡ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΎΡ, Π΄ΠΎΠΏΠΎΠΌΠΎΠ³ΠΎΡ ΡΡΡΠ»ΡΠΎΡΡΠ² ΡΠ° Π°Π΄Π°ΠΏΡΠ°ΡΡΡΡ Π² Π½ΠΎΠ²ΠΎΠΌΡ ΠΌΡΡΡΡ.
- ΠΠ΄ΠΈΠ½ ΡΠ· ΠΊΡΠ°ΡΠΈΡ ΡΠΎΡΠΏΠ°ΠΊΠ΅ΡΡΠ² β Π²ΠΈΠ½Π°Π³ΠΎΡΠΎΠ΄Π° Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Ρ Π·Π°ΠΏΠΈΡΠ°ΠΌ ΡΠΈΠ½ΠΊΡ, 20 Π΄Π½ΡΠ² ΠΎΠΏΠ»Π°ΡΡΠ²Π°Π½ΠΎΠ³ΠΎ Π²ΡΠ΄ΠΏΠΎΡΠΈΠ½ΠΊΡ, ΡΠΏΡΠ²ΠΏΡΠ°ΡΡ ΡΠ΅ΡΠ΅Π· Π€ΠΠ Π°Π±ΠΎ ΠΡΡ.City, ΠΎΠΏΠ»Π°ΡΡΠ²Π°Π½Ρ Π»ΡΠΊΠ°ΡΠ½ΡΠ½Ρ, ΠΌΠ΅Π΄ΡΡΡΠ°Ρ ΡΠ²Π°Π½Π½Ρ ΡΠ° Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΡΡΠΌΠΎ Ρ Π°ΡΡΡΠ²Π°Π½Π½ΡΠΌ Π² ΠΎΡΡΡΠ°Ρ Ρ ΠΠΈΡΠ²Ρ ΡΠ° ΠΠ°ΡΡΠ°Π²Ρ.
- Well-being program β ΠΌΠΈ ΡΡΡΠ±ΡΡΠΌΠΎΡΡ ΠΏΡΠΎ ΠΌΠ΅Π½ΡΠ°Π»ΡΠ½Π΅ Π·Π΄ΠΎΡΠΎΠ²ΚΌΡ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ, ΡΠΎΠΌΡ ΠΊΠΎΠΌΠΏΠ΅Π½ΡΡΡΠΌΠΎ ΡΠΎΠ±ΠΎΡΡ Π· ΠΏΡΠΈΡ ΠΎΠ»ΠΎΠ³ΠΎΠΌ, Π° ΡΠ°ΠΊΠΎΠΆ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠΌΠΎ ΠΊΠ»Π°ΡΠΈ Π· ΠΉΠΎΠ³ΠΈ ΡΠ° ΠΌΠ΅Π΄ΠΈΡΠ°ΡΡΡ Π² ΠΎΡΡΡΡ.
- ΠΡΠ΄ΡΡΠΈΠΌΠΊΠ° ΠΏΡΠ΄ ΡΠ°Ρ Π²ΡΠΉΠ½ΠΈ β Π±Π΅Π·ΠΏΠ΅ΠΊΠ° ΡΠ° ΡΡΠ°Π±ΡΠ»ΡΠ½ΡΡΡΡ Π΄Π»Ρ ΡΠ΅Π±Π΅ ΡΠ° ΡΠ²ΠΎΡΡ ΡΡΠ΄Π½ΠΈΡ . ΠΠ°Π±Π΅Π·ΠΏΠ΅ΡΡΡΠΌΠΎ Π²ΡΡΠΌ Π½Π΅ΠΎΠ±Ρ ΡΠ΄Π½ΠΈΠΌ Π΄Π»Ρ Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π±ΡΠΉΠ½ΠΎΡ ΡΠΎΠ±ΠΎΡΠΈ ΡΠ° Π΄ΠΎΠ»ΡΡΠ°ΡΠΌΠΎΡΡ Π΄ΠΎ ΡΠ½ΡΡΡΠ°ΡΠΈΠ² ΡΠ· Π²ΡΠ΄Π½ΠΎΠ²Π»Π΅Π½Π½Ρ Π£ΠΊΡΠ°ΡΠ½ΠΈ.
ΠΠ°Π΄ΡΠΈΠ»Π°ΠΉ ΡΠ²ΠΎΡ ΡΠ΅Π·ΡΠΌΠ΅ ΡΠ° ΡΡΠ°Π²Π°ΠΉ ΡΠ°ΡΡΠΈΠ½ΠΎΡ Π½Π°ΡΠΎΠ³ΠΎ ΠΡΠ΅ΡΠ²ΡΡΡ.
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Ukraine Β· IntermediateΠΡΠΎ ΠΏΠΎΠ·ΠΈΡΡΡ Π¨ΡΠΊΠ°ΡΠΌΠΎ Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Π»ΡΠ½Ρ Π»ΡΠ΄ΠΈΠ½Ρ, ΡΠΊΠ° Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°ΡΠΈΠΌΠ΅ Π½Π°ΡΠΎΠΌΡ ΡΡΠΈΡΡΡ Π² ΠΎΡΠΎΡΠΌΠ»Π΅Π½Π½Ρ Π΄ΠΎΠ³ΠΎΠ²ΠΎΡΡΠ², Π΄ΠΎΠ΄Π°ΡΠΊΡΠ² ΡΠ° Π°ΠΊΡΡΠ², Π° ΡΠ°ΠΊΠΎΠΆ Π²Π΅ΡΡΠΈΠΌΠ΅ Π²Π½ΡΡΡΡΡΠ½ΡΠΉ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠΎΠΎΠ±ΡΠ³ ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ. Π ΠΎΠ±ΠΎΡΠ° ΠΏΠ΅ΡΠ΅Π΄Π±Π°ΡΠ°Ρ ΡΠ°ΠΊΠΎΠΆ ΠΊΠΎΠΌΡΠ½ΡΠΊΠ°ΡΡΡ Π· Π΄ΠΈΡΡΡΠΈΠ±ΡΡΡΠΉΠ½ΠΎΡ ΠΊΠΎΠΌΠ°Π½Π΄ΠΎΡ ΡΠ° ΡΡΠ°ΡΡΡ Ρ ΠΏΡΠ΄ΡΡΠΈΠΌΡΡ...ΠΡΠΎ ΠΏΠΎΠ·ΠΈΡΡΡ
Π¨ΡΠΊΠ°ΡΠΌΠΎ Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Π»ΡΠ½Ρ Π»ΡΠ΄ΠΈΠ½Ρ, ΡΠΊΠ° Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°ΡΠΈΠΌΠ΅ Π½Π°ΡΠΎΠΌΡ ΡΡΠΈΡΡΡ Π² ΠΎΡΠΎΡΠΌΠ»Π΅Π½Π½Ρ Π΄ΠΎΠ³ΠΎΠ²ΠΎΡΡΠ², Π΄ΠΎΠ΄Π°ΡΠΊΡΠ² ΡΠ° Π°ΠΊΡΡΠ², Π° ΡΠ°ΠΊΠΎΠΆ Π²Π΅ΡΡΠΈΠΌΠ΅ Π²Π½ΡΡΡΡΡΠ½ΡΠΉ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠΎΠΎΠ±ΡΠ³ ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ. Π ΠΎΠ±ΠΎΡΠ° ΠΏΠ΅ΡΠ΅Π΄Π±Π°ΡΠ°Ρ ΡΠ°ΠΊΠΎΠΆ ΠΊΠΎΠΌΡΠ½ΡΠΊΠ°ΡΡΡ Π· Π΄ΠΈΡΡΡΠΈΠ±ΡΡΡΠΉΠ½ΠΎΡ ΠΊΠΎΠΌΠ°Π½Π΄ΠΎΡ ΡΠ° ΡΡΠ°ΡΡΡ Ρ ΠΏΡΠ΄ΡΡΠΈΠΌΡΡ ΡΡΠΈΠ΄ΠΈΡΠ½ΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠ² Ρ ΡΡΠ΅ΡΡ ΠΌΠ΅Π΄ΡΠ° ΡΠ° Π°Π²ΡΠΎΡΡΡΠΊΠΎΠ³ΠΎ ΠΏΡΠ°Π²Π°.
ΠΠ±ΠΎΠ²βΡΠ·ΠΊΠΈ:β’ ΠΡΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ° Π΄ΠΎΠ³ΠΎΠ²ΠΎΡΡΠ², Π΄ΠΎΠ΄Π°ΡΠΊΡΠ², Π°ΠΊΡΡΠ² Π·Π° ΡΠ°Π±Π»ΠΎΠ½Π°ΠΌΠΈ
β’ ΠΡΠ³Π°Π½ΡΠ·Π°ΡΡΡ Π²Π½ΡΡΡΡΡΠ½ΡΠΎΠ³ΠΎ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠΎΠΎΠ±ΡΠ³Ρ (ΡΠ΅ΡΡΡΡΠ°ΡΡΡ, Π°ΡΡ ΡΠ²Π°ΡΡΡ, ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΏΡΠ΄ΠΏΠΈΡΠ°Π½Π½Ρ)
β’ ΠΠ΅Π΄Π΅Π½Π½Ρ Π±Π°Π·ΠΈ ΡΠ°Π±Π»ΠΎΠ½ΡΠ² ΡΠ° ΠΊΠΎΠ½ΡΡΠ°Π³Π΅Π½ΡΡΠ²
β’ ΠΠΎΠΌΡΠ½ΡΠΊΠ°ΡΡΡ Π· Π΄ΠΈΡΡΡΠΈΠ±ΡΡΡΠΉΠ½ΠΈΠΌ Π²ΡΠ΄Π΄ΡΠ»ΠΎΠΌ ΡΠΎΠ΄ΠΎ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΡΠ²
β’ ΠΠΎΠΏΠΎΠΌΠΎΠ³Π° ΡΡΠΈΡΡΡ Π² ΡΠΎΠ΄Π΅Π½Π½ΠΈΡ Π·Π°Π΄Π°ΡΠ°Ρ ΡΠ° Π·Π°ΠΏΠΈΡΠ°Ρ
ΠΠΈΠΌΠΎΠ³ΠΈ:β’ ΠΠ°Π·ΠΎΠ²Ρ Π·Π½Π°Π½Π½Ρ Ρ ΡΡΠ΅ΡΡ ΠΏΡΠ°Π²Π° (ΠΌΠΎΠΆΠ½Π° Π±Π΅Π· Π΄ΠΎΡΠ²ΡΠ΄Ρ, ΡΠΊΡΠΎ Ρ ΠΏΡΠΎΡΡΠ»ΡΠ½Π° ΠΎΡΠ²ΡΡΠ°)
β’ Π£Π²Π°ΠΆΠ½ΡΡΡΡ Π΄ΠΎ Π΄Π΅ΡΠ°Π»Π΅ΠΉ, ΡΡΡΡΠΊΡΡΡΠ½Π΅ ΠΌΠΈΡΠ»Π΅Π½Π½Ρ
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β’ Π‘Π°ΠΌΠΎΠΎΡΠ³Π°Π½ΡΠ·Π°ΡΡΡ ΡΠ° Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Π»ΡΠ½ΡΡΡΡ
β’ ΠΠ°ΠΆΠ°Π½Π½Ρ Π½Π°Π²ΡΠ°ΡΠΈΡΡ Ρ Π·ΡΠΎΡΡΠ°ΡΠΈ Π² ΡΡΠΈΠ΄ΠΈΡΠ½ΡΠΉ/Π°Π΄ΠΌΡΠ½ΡΡΡΡΠ°ΡΠΈΠ²Π½ΡΠΉ ΡΡΠ΅ΡΡ
ΠΡΠ΄Π΅ ΠΏΠ»ΡΡΠΎΠΌ:β’ ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· Π΄ΠΎΠ³ΠΎΠ²ΠΎΡΠ°ΠΌΠΈ Π°Π±ΠΎ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΠΌΠΈ
β’ ΠΠ½ΡΠ΅ΡΠ΅Ρ Π΄ΠΎ Π°Π²ΡΠΎΡΡΡΠΊΠΎΠ³ΠΎ ΠΏΡΠ°Π²Π° Π°Π±ΠΎ ΠΌΡΠ·ΠΈΡΠ½ΠΎΡ ΡΠ½Π΄ΡΡΡΡΡΡ
β’ ΠΠΎΡΠ²ΡΠ΄ Π² ΠΌΠ΅Π΄ΡΠ° Π°Π±ΠΎ ΠΊΡΠ΅Π°ΡΠΈΠ²Π½ΠΈΡ ΡΠ½Π΄ΡΡΡΡΡΡΡ
ΠΠΈ ΠΏΡΠΎΠΏΠΎΠ½ΡΡΠΌΠΎ:β’ Π ΠΎΠ±ΠΎΡΡ Π² ΡΡΡΠ°ΡΠ½ΡΠΉ ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ Ρ ΡΡΠ΅ΡΡ ΠΌΡΠ·ΠΈΠΊΠΈ ΡΠ° ΠΌΠ΅Π΄ΡΠ°
β’ ΠΠΎΡΠ²ΡΠ΄ Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ Π· ΡΡΠΈΡΡΠ°ΠΌΠΈ, ΠΏΡΠΎΠ΄ΠΆΠ΅ΠΊΡ-ΠΌΠ΅Π½Π΅Π΄ΠΆΠ΅ΡΠ°ΠΌΠΈ ΡΠ° Π΄ΠΈΡΡΡΠΈΠ±ΡΡΡΠΉΠ½ΠΎΡ ΠΊΠΎΠΌΠ°Π½Π΄ΠΎΡ
β’ ΠΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡΠΉΠ½ΠΎΠ³ΠΎ Π·ΡΠΎΡΡΠ°Π½Π½Ρ ΡΠ° ΡΠΎΠ·Π²ΠΈΡΠΊΡ Π² Π½Π°ΠΏΡΡΠΌΠΊΡ ΡΡΠΈΠ΄ΠΈΡΠ½ΠΎΠ³ΠΎ ΡΡΠΏΡΠΎΠ²ΠΎΠ΄Ρ
β’ ΠΡΠ±ΡΠΈΠ΄Π½ΠΈΠΉ ΡΠΎΡΠΌΠ°Ρ ΡΠΎΠ±ΠΎΡΠΈ (ΠΎΡΡΡ/Π²ΡΠ΄Π΄Π°Π»Π΅Π½ΠΎ β Π·Π° Π΄ΠΎΠΌΠΎΠ²Π»Π΅Π½ΡΡΡΡ)
β’ ΠΡΡΠΆΠ½ΡΠΉ ΠΊΠΎΠ»Π΅ΠΊΡΠΈΠ² Ρ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΡ Π½Π° Π΅ΡΠ°ΠΏΡ Π°Π΄Π°ΠΏΡΠ°ΡΡΡ
β’ ΠΠΎΠΌΠ°Π½Π΄Ρ, ΡΠΊΠ° ΠΏΡΠ΄ΡΡΠΈΠΌΠ°Ρ Π½Π° Π²ΡΡΡ Π΅ΡΠ°ΠΏΠ°Ρ
β’ ΠΡΠΎΡΠΊΡΠΈ Π· Π²ΡΠ΄ΠΎΠΌΠΈΠΌΠΈ Π°ΡΡΠΈΡΡΠ°ΠΌΠΈ ΡΠ° ΠΊΠΎΠ½ΡΠ΅Π½ΡΠΎΠΌ
β’ ΠΠΎΠ΄Π°ΡΡΠ½ΠΊΠΈ Π½Π° ΡΠ²ΡΡΠ° ΡΠ° Π±ΠΎΠ½ΡΡΠΈ Π²ΡΠ΄ Π±ΡΠ΅Π½Π΄ΡΠ² ΠΏΠ°ΡΡΠ½Π΅ΡΡΠ²
β’ ΠΠ²ΠΈΡΠΊΠΈ Π½Π° ΠΊΠΎΠ½ΡΠ΅ΡΡΠΈ
β’ ΠΠΏΠ»Π°ΡΡΠ²Π°Π½Π° Π²ΡΠ΄ΠΏΡΡΡΠΊΠ° (3 ΡΠΈΠΆΠ½Ρ), ΠΎΠΏΠ»Π°ΡΡΠ²Π°Π½Ρ ΡΡΠ·Π΄Π²ΡΠ½Ρ ΠΊΠ°Π½ΡΠΊΡΠ»ΠΈ (7-10 Π΄Π½ΡΠ²)
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ΠΡΠΎ ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ Enko - ΡΠΊΡΠ°ΡΠ½ΡΡΠΊΠΈΠΉ ΠΌΡΠ·ΠΈΡΠ½ΠΈΠΉ Π»Π΅ΠΉΠ±Π», ΠΌΠ΅ΡΠΎΡ ΡΠΊΠΎΠ³ΠΎ Ρ ΡΡΠ²ΠΎΡΠ΅Π½Π½Ρ Π½ΠΎΠ²ΠΎΡ ΡΠΊΡΠ°ΡΠ½ΡΡΠΊΠΎΡ ΠΌΡΠ·ΠΈΠΊΠΈ, ΡΠΎΠ± Π²ΠΎΠ½Π° Π»ΡΠ½Π°Π»Π° Ρ Π²ΡΡΠΎΠΌΡ ΡΠ²ΡΡΡ! ΠΠ΅ΠΉΠ±Π» Enko - ΡΠ΅ ΡΠΈΠ½ΡΠ΅Π· Ρ ΡΠΏ-Ρ ΠΎΠΏΡ, Π΅ΡΠ½ΠΎΡΡ ΡΠ° ΡΡΡΠ°ΡΠ½ΠΎΡΡΡ.
ΠΠ°ΡΡ Π°ΡΡΠΈΡΡΠΈ:
- ΠΌΠ°ΠΌΠ° ΡΠΊΡΠ°ΡΠ½ΡΡΠΊΠΎΠ³ΠΎ ΡΠ΅ΠΏΡ - alyona alyona
Π‘ΡΠ²ΠΎΡΡΡ ΠΊΡΡΡΡ ΠΊΠΎΠ»Π°Π±ΠΎΡΠ°ΡΡΡ Π· ΡΠ²ΡΠΎΠΏΠ΅ΠΉΡΡΠΊΠΈΠΌΠΈ Π°ΡΡΠΈΡΡΠ°ΠΌΠΈ, Π°Π»ΡΠ±ΠΎΠΌ Β«Dai BohΒ» Π·Π°ΠΏΠΎΠ»ΠΎΠ½ΠΈΠ² ΡΠ΅ΡΡΡ ΡΠΊΡΠ°ΡΠ½ΡΡΠ² ΡΠ° ΡΠ»ΡΡ Π°ΡΡΠ² Π· ΡΡΡΠΎΠ³ΠΎ ΡΠ²ΡΡΡ!
- ΠΏΠ΅ΡΠ΅ΠΌΠΎΠΆΡΡ ΠΠ²ΡΠΎΠ±Π°ΡΠ΅Π½Π½Ρ - Π³ΡΡΡ KALUSH ORCHESTRA
ΠΠ»ΡΠΏ Π΄ΠΎ Π²ΡΡΠΌ Π²ΡΠ΄ΠΎΠΌΠΎΡ Β«StefaniaΒ» Π½Π°Π±ΡΠ°Π² 37 ΠΌΡΠ»ΡΠΉΠΎΠ½ΡΠ² ΠΏΠ΅ΡΠ΅Π³Π»ΡΠ΄ΡΠ²!
- Π»ΡΠ΄Π΅Ρ ΡΠΎΠΏ-ΡΠ°ΡΡΡΠ² ΡΠ° ΡΡΡΡΠΌΡΠ½Π³ΠΎΠ²ΠΈΡ ΠΏΠ»Π°ΡΡΠΎΡΠΌ - ΡΠ΅ΠΏΠ΅Ρ Skofka.
ΠΠ°Ρ ΡΠ½ΡΠΊΠ°Π»ΡΠ½ΠΈΠΉ ΡΡΠΈΠ»Ρ, Π½ΠΎΠ²ΠΈΠΉ ΡΡΠ΅ΠΊ Β«Π§ΡΡΠΈ Π³ΡΠΌΠ½Β» ΠΏΠΎΡΡΠ² 6 ΠΌΡΡΡΠ΅ Ρ Shazam Ukraine! -
Β· 33 views Β· 6 applications Β· 27d
Senior Market Research Specialist
Ukraine Β· Product Β· 2 years of experience Β· Upper-IntermediateAIM β Π»ΡΠ΄Π΅Ρ Ρ ΡΡΠ΅ΡΡ ΠΌΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³ΠΎΠ²ΠΈΡ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Ρ Π² Π£ΠΊΡΠ°ΡΠ½Ρ Π· 15-ΡΡΡΠ½ΠΈΠΌ Π΄ΠΎΡΠ²ΡΠ΄ΠΎΠΌ ΡΠΎΠ±ΠΎΡΠΈ ΡΠ° ΠΊΠ»ΡΡΠ½ΡΠ°ΠΌΠΈ Π· Fortune Global 500. ΠΠΈ ΡΡΠΊΠ°ΡΠΌΠΎ Senior Market Research Specialist, ΡΠΎΠ± ΠΏΡΠ΄ΡΠΈΠ»ΠΈΡΠΈ Π½Π°ΡΡ Π°Π½Π°Π»ΡΡΠΈΡΠ½Ρ ΠΊΠΎΠΌΠ°Π½Π΄Ρ ΡΠ΅ΡΠ΅Π· Π·Π±ΡΠ»ΡΡΠ΅Π½Π½Ρ ΠΊΡΠ»ΡΠΊΠΎΡΡΡ ΠΏΡΠΎΡΠΊΡΡΠ². Π£ Π½Π°Ρ...AIM β Π»ΡΠ΄Π΅Ρ Ρ ΡΡΠ΅ΡΡ ΠΌΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³ΠΎΠ²ΠΈΡ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Ρ Π² Π£ΠΊΡΠ°ΡΠ½Ρ Π· 15-ΡΡΡΠ½ΠΈΠΌ Π΄ΠΎΡΠ²ΡΠ΄ΠΎΠΌ ΡΠΎΠ±ΠΎΡΠΈ ΡΠ° ΠΊΠ»ΡΡΠ½ΡΠ°ΠΌΠΈ Π· Fortune Global 500. ΠΠΈ ΡΡΠΊΠ°ΡΠΌΠΎ Senior Market Research Specialist, ΡΠΎΠ± ΠΏΡΠ΄ΡΠΈΠ»ΠΈΡΠΈ Π½Π°ΡΡ Π°Π½Π°Π»ΡΡΠΈΡΠ½Ρ ΠΊΠΎΠΌΠ°Π½Π΄Ρ ΡΠ΅ΡΠ΅Π· Π·Π±ΡΠ»ΡΡΠ΅Π½Π½Ρ ΠΊΡΠ»ΡΠΊΠΎΡΡΡ ΠΏΡΠΎΡΠΊΡΡΠ².
Π£ Π½Π°Ρ ΡΡΡΡΠΊΡΡΡΠΎΠ²Π°Π½Ρ ΠΏΡΠΎΡΠ΅ΡΠΈ (SCRUM, Jira), ΡΠΈΠ»ΡΠ½Π° ΠΊΠΎΠΌΠ°Π½Π΄Π° (BI Specialist, Π΅ΠΊΡΠΏΠ΅ΡΡΠΈ Π· ΡΠΈΠ½ΠΊΠΎΠ²ΠΎΡ Π°Π½Π°Π»ΡΡΠΈΠΊΠΈ, Data Analysts) Ρ ΠΎΡΡΡΠ½ΡΠ°ΡΡΡ Π½Π° ΡΠ΅Π·ΡΠ»ΡΡΠ°Ρ. ΠΡΡΠΊΡΡΠΌΠΎ, ΡΠΎ ΡΠΈ Π·ΠΌΠΎΠΆΠ΅Ρ ΡΠ°ΠΌΠΎΡΡΡΠΉΠ½ΠΎ Π²Π΅ΡΡΠΈ ΠΏΡΠΎΡΠΊΡΠΈ, ΠΌΠ΅Π½ΡΠΎΡΠΈΡΠΈ Π΄ΠΆΡΠ½ΡΠ², ΠΏΡΠΎΠΏΠΎΠ½ΡΠ²Π°ΡΠΈ ΠΏΠΎΠΊΡΠ°ΡΠ΅Π½Π½Ρ ΡΠ° ΠΌΠΈΡΠ»ΠΈΡΠΈ Π±ΡΠ·Π½Π΅Ρ-ΠΎΡΡΡΠ½ΡΠΎΠ²Π°Π½ΠΎ.
ΠΠΈΠΌΠΎΠ³ΠΈ- ΠΠΎΡΠ²ΡΠ΄ Π°Π½Π°Π»ΡΠ·Ρ ΡΠΈΠ½ΠΊΡΠ², ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΡΠ², ΡΠ΅Π³ΠΌΠ΅Π½ΡΠ°ΡΡΠΉ, ΡΠΎΠ·ΡΠ°Ρ ΡΠ½ΠΊΡ ΡΠΈΠ½ΠΊΠΎΠ²ΠΈΡ Π±Π°Π»Π°Π½ΡΡΠ².
- ΠΠ°Π²ΠΈΡΠΊΠΈ Π±ΡΠ·Π½Π΅Ρ-Π°Π½Π°Π»ΡΠ·Ρ.
- ΠΠΎΠ»ΠΎΠ΄ΡΠ½Π½Ρ Excel/Google Sheets Π½Π° Π²ΠΈΡΠΎΠΊΠΎΠΌΡ ΡΡΠ²Π½Ρ.
- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· BI-ΡΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΠΌΠΈ (Power BI, Tableau).
- Upper-Intermediate Π°Π½Π³Π»ΡΠΉΡΡΠΊΠ° (Π΄Π»Ρ ΡΠΎΠ±ΠΎΡΠΈ Π· ΠΊΠ»ΡΡΠ½ΡΠ°ΠΌΠΈ Ρ Π·Π²ΡΡΠ°ΠΌΠΈ).
- ΠΠΏΠ΅Π²Π½Π΅Π½Π΅ ΠΊΠΎΡΠΈΡΡΡΠ²Π°Π½Π½Ρ AI-ΡΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΠΌΠΈ (ChatGPT, Vertex ΡΠ° ΡΠ½ΡΡ).
Π’ΠΎΠΏ-3 Π½Π°ΠΉΠ²Π°ΠΆΠ»ΠΈΠ²ΡΡΡ Π²ΠΈΠΌΠΎΠ³ΠΈ:
- Π‘ΠΈΠ»ΡΠ½Π° Π΅ΠΊΡΠΏΠ΅ΡΡΠΈΠ·Π° Π² Π°Π½Π°Π»ΡΠ·Ρ ΡΠΈΠ½ΠΊΡΠ² Ρ ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΡΠ².
- ΠΡΠ·Π½Π΅Ρ-ΠΎΡΡΡΠ½ΡΠΎΠ²Π°Π½ΡΡΡΡ Ρ ΠΏΡΠ΄Π³ΠΎΡΠΎΠ²ΡΡ Π²ΠΈΡΠ½ΠΎΠ²ΠΊΡΠ².
- ΠΡΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡΡΡ Ρ ΡΠ°ΠΌΠΎΡΡΡΠΉΠ½ΡΡΡΡ Ρ ΡΠΎΠ±ΠΎΡΡ Π½Π°Π΄ Π·Π°Π΄Π°ΡΠ°ΠΌΠΈ.
ΠΠ±ΠΎΠ²'ΡΠ·ΠΊΠΈ
- ΠΠ±ΡΡ, ΠΎΠ±ΡΠΎΠ±ΠΊΠ° Ρ Π°Π½Π°Π»ΡΠ· ΡΠΈΠ½ΠΊΠΎΠ²ΠΈΡ Π΄Π°Π½ΠΈΡ (ΠΎΠ±βΡΠΌΠΈ, ΡΡΠ΅Π½Π΄ΠΈ, ΡΠ΅Π³ΠΌΠ΅Π½ΡΠ°ΡΡΡ).
- ΠΠ½Π°Π»ΡΠ· ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΡΠ΅Π΄ΠΎΠ²ΠΈΡΠ°: Π΄ΠΎΠ»Ρ ΡΠΈΠ½ΠΊΡ, ΠΊΠ°Π½Π°Π»ΠΈ Π·Π±ΡΡΡ, ΡΡΡΠ°ΡΠ΅Π³ΡΡ.
- ΠΡΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ° executive summaries, ΠΏΡΠ΅Π·Π΅Π½ΡΠ°ΡΡΠΉ, ΠΏΠΎΠ²Π½ΠΈΡ Π°Π½Π°Π»ΡΡΠΈΡΠ½ΠΈΡ Π·Π²ΡΡΡΠ².
- ΠΠ΅Π±ΡΠΈΡΡΠ½Π³ ΠΊΠ»ΡΡΠ½ΡΡΡΠΊΠΈΡ Π±ΡΠΈΡΡΠ² ΡΠ° ΡΠΎΡΠΌΡΠ²Π°Π½Π½Ρ ΡΠ΅Ρ Π½ΡΡΠ½ΠΈΡ Π·Π°Π²Π΄Π°Π½Ρ.
- ΠΠ΅ΡΠ²ΠΈΠ½Π½Ρ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ (Π΅ΠΊΡΠΏΠ΅ΡΡΠ½Ρ ΡΠ½ΡΠ΅ΡΠ²'Ρ, Π°Π½Π°Π»ΡΠ· Π·ΠΎΠ²Π½ΡΡΠ½ΡΡ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Ρ).
- ΠΠΏΡΠΈΠΌΡΠ·Π°ΡΡΡ Ρ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡΠ² ΠΎΠ±ΡΠΎΠ±ΠΊΠΈ Π΄Π°Π½ΠΈΡ .
- ΠΠ΅Π½ΡΠΎΡΡΡΠ²ΠΎ ΠΌΠΎΠ»ΠΎΠ΄ΡΠΈΡ Π°Π½Π°Π»ΡΡΠΈΠΊΡΠ² ΡΠ° Π΄Π΅Π»Π΅Π³ΡΠ²Π°Π½Π½Ρ Π·Π°Π²Π΄Π°Π½Ρ.
ΠΡΠ΄Π΅ ΠΏΠ»ΡΡΠΎΠΌ
- ΠΠ½Π°Π½Π½Ρ MySQL.
- ΠΠ½Π°Π½Π½Ρ Python Π΄Π»Ρ ΠΎΠ±ΡΠΎΠ±ΠΊΠΈ Ρ Π°Π½Π°Π»ΡΠ·Ρ Π΄Π°Π½ΠΈΡ .
- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π½Π° ΡΠΈΠ½ΠΊΠ°Ρ B2B (ΠΎΡΠΎΠ±Π»ΠΈΠ²ΠΎ ΠΏΡΠΎΠΌΠΈΡΠ»ΠΎΠ²Ρ ΡΠΈΠ½ΠΊΠΈ).
- ΠΠ°ΡΠ²Π½ΡΡΡΡ Π²Π»Π°ΡΠ½ΠΈΡ ΡΠ½ΡΡΡΠ°ΡΠΈΠ² Π°Π±ΠΎ Π΄ΠΎΡΡΠ³Π½Π΅Π½Ρ Ρ Π½Π°Π²ΡΠ°Π½Π½Ρ, ΡΠΏΠΎΡΡΡ Π°Π±ΠΎ Ρ ΠΎΠ±Ρ.
- ΠΠΌΡΠ½Π½Ρ ΠΏΡΠΎΠΏΠΎΠ½ΡΠ²Π°ΡΠΈ ΡΠ° Π²ΠΏΡΠΎΠ²Π°Π΄ΠΆΡΠ²Π°ΡΠΈ Π½ΠΎΠ²Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΡΡ Π°Π½Π°Π»ΡΠ·Ρ.
Π£ΠΌΠΎΠ²ΠΈ ΡΠΎΠ±ΠΎΡΠΈ
- Π€ΠΎΡΠΌΠ°Ρ: ΠΎΡΡΡ (ΠΠΈΡΠ²/Π¨Π΅Π²ΡΠ΅Π½ΠΊΠΎΠ²Π΅) Π°Π±ΠΎ ΡΠ΅ΠΌΠΎΡΡ, Π· ΠΏΠ΅ΡΠ΅Π²Π°Π³ΠΎΡ Π΄Π»Ρ ΠΊΠΈΡΠ²Π»ΡΠ½ Π°Π±ΠΎ ΡΠΈΡ , Ρ ΡΠΎ Π³ΠΎΡΠΎΠ²ΠΈΠΉ Π½Π° ΡΠ΅Π»ΠΎΠΊΠ΅ΠΉΡ (Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°ΡΠΌΠΎ Π· ΡΠ΅Π»ΠΎΠΊΠ΅ΠΉΡΠΎΠΌ).
- ΠΡΠ°ΡΡΠΊ: Π³Π½ΡΡΠΊΠΈΠΉ (ΠΎΡΠ½ΠΎΠ²Π½Π° Π°ΠΊΡΠΈΠ²Π½ΡΡΡΡ Π· 9:00 Π΄ΠΎ 18:00).
- ΠΠΎΡ ΡΠ΄: ΡΡΠ°Π²ΠΊΠ° + Π±ΠΎΠ½ΡΡΠΈ Π·Π° ΠΏΡΠΎΡΠΊΡΠΈ.
- ΠΠΈΠΏΡΠΎΠ±ΡΠ²Π°Π»ΡΠ½ΠΈΠΉ ΡΠ΅ΡΠΌΡΠ½: 2 ΠΌΡΡΡΡΡ.
- ΠΡΠ΄ΠΏΡΡΡΠΊΠ°: 28 ΠΊΠ°Π»Π΅Π½Π΄Π°ΡΠ½ΠΈΡ Π΄Π½ΡΠ² + 5 ΠΎΠΏΠ»Π°ΡΡΠ²Π°Π½ΠΈΡ Π»ΡΠΊΠ°ΡΠ½ΡΠ½ΠΈΡ Π½Π° ΡΡΠΊ.
- ΠΠΎΠΌΠΏΠ΅Π½ΡΠ°ΡΡΡ: 50% Π²Π°ΡΡΠΎΡΡΡ ΠΊΡΡΡΡΠ² Ρ ΡΠΏΠΎΡΡΠΈΠ²Π½ΠΈΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠ΅ΠΉ.
- Π ΠΎΠ±ΠΎΡΠ° Π· ΡΠΎΠΏ-Π±ΡΠ΅Π½Π΄Π°ΠΌΠΈ, Π½ΠΎΠ²ΠΈΠΌΠΈ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΡΠΌΠΈ ΡΠ° AI.
- Π Π΅Π°Π»ΡΠ½Ρ ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΡ ΡΠΎΠ·Π²ΠΈΡΠΊΡ Ρ Π²ΠΏΠ»ΠΈΠ²Ρ Π½Π° ΠΏΡΠΎΡΠ΅ΡΠΈ.
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Head of Analytics/Analytics Lead
Office Work Β· Ukraine (Kyiv) Β· Product Β· 5 years of experience Β· Upper-IntermediateΠΠΈ Π² ΠΏΠΎΡΡΠΊΠ°Ρ Head of Analytics/Analytics Lead/Senior Analyst, ΡΠΊΠΈΠΉ ΡΡΠ°Π½Π΅ ΠΊΠ»ΡΡΠΎΠ²ΠΈΠΌ ΡΠΏΡΠ²ΡΠΎΠ±ΡΡΠ½ΠΈΠΊΠΎΠΌ Ρ ΠΌΠ°ΡΡΡΠ°Π±ΡΠ²Π°Π½Π½Ρ ΡΠ° ΡΠΎΠ·Π²ΠΈΡΠΊΡ Π°Π½Π°Π»ΡΡΠΈΡΠ½ΠΎΡ ΡΡΠ½ΠΊΡΡΡ ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ. Π¦Ρ Π»ΡΠ΄ΠΈΠ½Π° Π²ΡΠ·ΡΠΌΠ΅ Π½Π° ΡΠ΅Π±Π΅ ΡΡΡΠ°ΡΠ΅Π³ΡΡΠ½ΠΈΠΉ ΡΠΎΠ·Π²ΠΈΡΠΎΠΊ ΡΡΡΡ Π°Π½Π°Π»ΡΡΠΈΡΠ½ΠΈΡ Π½Π°ΠΏΡΡΠΌΠΊΡΠ² (ΠΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³, ΠΡΠΎΠ΄ΡΠΊΡ, Game...ΠΠΈ Π² ΠΏΠΎΡΡΠΊΠ°Ρ Head of Analytics/Analytics Lead/Senior Analyst, ΡΠΊΠΈΠΉ ΡΡΠ°Π½Π΅ ΠΊΠ»ΡΡΠΎΠ²ΠΈΠΌ ΡΠΏΡΠ²ΡΠΎΠ±ΡΡΠ½ΠΈΠΊΠΎΠΌ Ρ ΠΌΠ°ΡΡΡΠ°Π±ΡΠ²Π°Π½Π½Ρ ΡΠ° ΡΠΎΠ·Π²ΠΈΡΠΊΡ Π°Π½Π°Π»ΡΡΠΈΡΠ½ΠΎΡ ΡΡΠ½ΠΊΡΡΡ ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ. Π¦Ρ Π»ΡΠ΄ΠΈΠ½Π° Π²ΡΠ·ΡΠΌΠ΅ Π½Π° ΡΠ΅Π±Π΅ ΡΡΡΠ°ΡΠ΅Π³ΡΡΠ½ΠΈΠΉ ΡΠΎΠ·Π²ΠΈΡΠΎΠΊ ΡΡΡΡ Π°Π½Π°Π»ΡΡΠΈΡΠ½ΠΈΡ Π½Π°ΠΏΡΡΠΌΠΊΡΠ² (ΠΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³, ΠΡΠΎΠ΄ΡΠΊΡ, Game Π½Π°ΠΏΡΡΠΌ, Data β Π· ΠΎΡΠ½ΠΎΠ²Π½ΠΈΠΌ ΡΠΎΠΊΡΡΠΎΠΌ Π½Π° ΠΌΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³ΠΎΠ²Ρ Π°Π½Π°Π»ΡΡΠΈΠΊΡ), ΠΏΠΎΠ±ΡΠ΄ΡΡ Π±ΡΠ»ΡΡ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½Ρ Π°Π½Π°Π»ΡΡΠΈΠΊΡ ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ Π΄Π»Ρ ΡΠΎΠ·Π²ΠΈΡΠΊΡ Π½Π°ΡΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ²!
Π©ΠΎ Π²ΠΈ Π±ΡΠ΄Π΅ΡΠ΅ ΡΠΎΠ±ΠΈΡΠΈ:- ΠΠ»ΠΈΠ±ΠΎΠΊΠΎ Π·Π°Π½ΡΡΡΠ²Π°ΡΠΈΡΡ Π² ΠΊΠ»ΡΡΠΎΠ²Ρ ΠΌΠ΅ΡΡΠΈΠΊΠΈ ΡΠ° ΡΡ Π°Π½Π°Π»ΡΠ· (CPI, ROAS, Retention ΡΠΎΡΠΎ), ΡΠΎΠ·ΡΠΎΠ±Π»ΡΡΠΈ ΡΠ° ΠΏΠ΅ΡΠ΅Π²ΡΡΡΡΠΈ Π³ΡΠΏΠΎΡΠ΅Π·ΠΈ, ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΠΈ ΠΊΠΎΠ³ΠΎΡΡΠ½ΠΈΠΉ Π°Π½Π°Π»ΡΠ· Ρ ΡΠ°Π·ΠΎΠΌ ΡΠ· ΠΊΠΎΠΌΠ°Π½Π΄ΠΎΡ Π²ΡΡΠ»ΡΠ²Π°ΡΠΈ ΡΠ΄Π΅Ρ Π² ΠΆΠΈΡΡΡ;
- Π‘ΠΏΡΠΈΡΡΠΈ ΡΠΎΡΠΌΡΠ²Π°Π½Π½Ρ ΠΊΡΠ»ΡΡΡΡΠΈ ΠΏΡΠΈΠΉΠ½ΡΡΡΡ ΡΡΡΠ΅Π½Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π΄Π°Π½ΠΈΡ , Π½Π°Π»Π°ΡΡΠΎΠ²ΡΠ²Π°ΡΠΈ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½Ρ ΡΠΈΡΡΠ΅ΠΌΡ ΠΌΠ΅ΡΡΠΈΠΊ ΡΠ° ΡΠ²ΠΈΠ΄ΠΊΠΎΠ³ΠΎ ΡΠ΅Π°Π³ΡΠ²Π°Π½Π½Ρ;
- ΠΠ΅ΡΡΠ²Π°ΡΠΈ Π²ΠΈΠΌΠΎΠ³Π°ΠΌΠΈ Π΄ΠΎ Π°Π½Π°Π»ΡΡΠΈΡΠ½ΠΈΡ Π΄Π°Π½ΠΈΡ Ρ Π΄Π°ΡΠ±ΠΎΡΠ΄ΡΠ², ΠΎΡΡΡΠ½ΡΠΎΠ²Π°Π½Ρ Π½Π° ΠΊΠΎΡΠΈΡΡΡΠ²Π°ΡΡΠ² Π°Π½Π°Π»ΡΡΠΈΠΊΠΈ;
- ΠΠ½Π°Π»ΡΠ·ΡΠ²Π°ΡΠΈ Π΄Π°Π½Ρ ΡΠ° Π½Π°Π΄Π°Π²Π°ΡΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ½Ρ ΡΡΡΠ΅Π½Π½Ρ: ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΠΈ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ ΡΠ° ad-hoc Π°Π½Π°Π»ΡΠ·ΠΈ, Π²ΡΠ·ΡΠ°Π»ΡΠ·ΡΠ²Π°ΡΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈ ΡΠ΅ΡΠ΅Π· Π΄Π°ΡΠ±ΠΎΡΠ΄ΠΈ ΡΠ° Π°Π½Π°Π»ΡΡΠΈΡΠ½Ρ Π·Π²ΡΡΠΈ;
- ΠΡΠΎΠ²ΠΎΠ΄ΠΈΡΠΈ Π³Π»ΠΈΠ±ΠΎΠΊΠΈΠΉ Π°Π½Π°Π»ΡΠ· ΠΏΠΎΠ²Π΅Π΄ΡΠ½ΠΊΠΈ ΠΊΠΎΡΠΈΡΡΡΠ²Π°ΡΡΠ², Π²ΠΈΡΠ²Π»ΡΡΠΈ ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΡ Π΄Π»Ρ Π·ΡΠΎΡΡΠ°Π½Π½Ρ, ΠΏΠ΅ΡΠ΅Π²ΡΡΡΡΠΈ Π³ΡΠΏΠΎΡΠ΅Π·ΠΈ ΡΠ° Π³ΠΎΡΡΠ²Π°ΡΠΈ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΡΡ Π΄Π»Ρ ΠΊΠΎΠΌΠ°Π½Π΄ ΡΠ° ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΡ;
- Π ΠΎΠ·ΡΠΎΠ±Π»ΡΡΠΈ ΡΡΡΠ΅Π½Π½Ρ Π²ΠΈΠΊΠΎΡΠΈΡΡΠΎΠ²ΡΡΡΠΈ Π°Π½Π°Π»ΡΡΠΈΠΊΡ, ΠΌΠ°ΡΠΈΠ½Π½Π΅ Π½Π°Π²ΡΠ°Π½Π½Ρ (ML) ΡΠ° ΠΎΠΏΡΠΈΠΌΡΠ·Π°ΡΡΡ.
Π©ΠΎ ΠΌΠΈ ΡΡΠΊΠ°ΡΠΌΠΎ:
- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π²ΡΠ΄ 2Ρ ΡΠΎΠΊΡΠ² Π² ΡΠ΅Π³ΠΌΠ΅Π½ΡΡ B2C Π½Π° ΠΏΠΎΠ·ΠΈΡΡΡ Head/Lead of Analytics Π°Π±ΠΎ Senior Analyst Π² ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΡΠΉ ΠΠ’-ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ;
- Π ΠΎΠ·ΡΠΌΡΠ½Π½Ρ Π°Π½Π°Π»ΡΡΠΈΡΠ½ΠΈΡ ΡΠ½ΡΡΡΡΠΌΠ΅Π½ΡΡΠ²: cohort/LTV Π°Π½Π°Π»ΡΠ·, ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠ° ΡΠ° ΡΠ΅Π³ΡΠ΅ΡΡΡ, Π°Π½Π°Π»ΡΠ· ΠΌΠΎΠ½Π΅ΡΠΈΠ·Π°ΡΡΡ;
- ΠΠ½Π°Π½Π½Ρ ΡΠ° Π΄ΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· SQL (Google BQuery, PostgreSQL), visualization tools (Power Bi, Tableau), Python;
- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· Π²Π΅Π± ΡΠ° app Π°Π½Π°Π»ΡΡΠΈΠΊΠΎΡ: Google Analytics, GTM, Google Optimize, Appsflyer, Hotjar;
- ΠΠ΄Π°ΡΠ½ΡΡΡΡ Π²ΠΈΠ·Π½Π°ΡΠ°ΡΠΈ ΡΠ° Π°Π½Π°Π»ΡΠ·ΡΠ²Π°ΡΠΈ ΡΠΎΡΠΊΠΈ ΡΠΎΡΡΡ ΡΠ° Π²ΠΌΡΠ½Π½Ρ Π±Π°ΡΠΈΡΠΈ ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΡ Π΄Π»Ρ Π·ΡΠΎΡΡΠ°Π½Π½Ρ Π±ΡΠ·Π½Π΅ΡΡ, Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π°Π½Π°Π»ΡΠ·Ρ Π΄Π°Π½ΠΈΡ ;
- Π£ΡΠΏΡΡΠ½ΠΈΠΉ Π΄ΠΎΡΠ²ΡΠ΄ ΠΌΠ°ΡΡΡΠ°Π±ΡΠ²Π°Π½Π½Ρ Π°Π½Π°Π»ΡΡΠΈΡΠ½ΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠ²;
- Intermediate+ English.
ΠΠΈ ΠΏΡΠΎΠΏΠΎΠ½ΡΡΠΌΠΎ:
- ΠΡΠ΄ΡΡΡΠ½ΡΡΡΡ Π±ΡΡΠΎΠΊΡΠ°ΡΡΡ Π² ΠΏΡΠΎΡΠ΅ΡΠ°Ρ ΠΏΡΠΈΠΉΠ½ΡΡΡΡ ΡΡΡΠ΅Π½Ρ Ρ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ Π±Π΅Π·ΠΏΠΎΡΠ΅ΡΠ΅Π΄Π½ΡΠΎ Π²ΠΏΠ»ΠΈΠ²Π°ΡΠΈ Π½Π° ΠΏΡΠΎΠ΄ΡΠΊΡ/ΠΏΡΠΎΡΠΊΡ;
- ΠΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ Π½Π°Π²ΡΠ°ΡΠΈΡΡ β Π°Π±ΠΎ Π½Π°Π²ΡΠ°ΡΠΈ (ΠΌΠ°ΡΠΌΠΎ ΠΏΡΠΎΡΠΊΡΠΈ Π· ΡΠ½ΡΠ΅ΡΠ½Π°ΡΡΡΠΈ ΡΠ° ΠΌΠ΅Π½ΡΠΎΡΡΡΠ²Π°);Π Π΅Π°Π»ΡΠ·Π°ΡΡΡ ΡΠ΄Π΅ΠΉ ΡΠ΅ΡΠ΅Π· Π²Π»Π°ΡΠ½Ρ ΠΏΡΠΎΡΠΊΡΠΈ β ΠΠ΅ Π±ΡΠΉΡΠ΅ΡΡ Π΅ΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΡΠ²Π°ΡΠΈ! ΠΡΠΎΠΏΠΎΠ½ΡΠΉΡΠ΅ ΡΠ° ΠΎΠ²Π½Π΅ΡΡΡΡ ΠΏΡΠΎΡΠ΅Ρ ΡΠ΅Π°Π»ΡΠ·Π°ΡΡΡ;
- ΠΡΠ΄ΡΡΠΈΠΌΡΡΡΠ΅ ΡΠ΅ΡΠ΅Π΄ΠΎΠ²ΠΈΡΠ΅ ΡΠ° ΠΊΠΎΠΌΠ°Π½Π΄Π°, ΡΠ· ΡΠΊΠΎΡ ΠΌΠΎΠΆΠ½Π° ΡΠΎΠ±ΠΈΡΠΈ Π΄ΡΠΉΡΠ½ΠΎ ΠΊΡΡΡΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈ, ΡΠΎ Π·ΠΌΡΠ½ΡΡΡΡ ΡΠΈΠ½ΠΎΠΊ;
- ΠΠ°ΡΠΏΠ»Π°ΡΡ ΡΡΠ²Π½Ρ IT-/iGaming-ΡΠΈΠ½ΠΊΡ ΡΠ° ΠΏΠΎΠ²Π½ΠΈΠΉ ΡΠΎΡΠΏΠ°ΠΊΠ΅Ρ (ΠΌΠ΅Π΄ΠΈΡΠ½Π° ΡΡΡΠ°Ρ ΠΎΠ²ΠΊΠ°, ΠΊΠΎΠ½ΡΡΠ»ΡΡΠ°ΡΡΡ ΡΠ΅ΡΠ°ΠΏΠ΅Π²ΡΠ° Π² ΠΎΡΡΡΡ, ΠΊΠΎΠΌΠΏΠ΅Π½ΡΠ°ΡΡΡ ΡΠΏΠΎΡΡΠ·Π°Π»Ρ, ΠΊΠΎΠΌΠΏΠ΅Π½ΡΠ°ΡΡΡ Π²Π°ΡΡΠΎΡΡΡ Π»Π°Π½ΡΡΠ² Π· Π΄ΠΎΡΡΠ°Π²ΠΊΠΎΡ ΡΠΎΡΠΎ);
- ΠΡΡΡΠ½ΠΈΠΉ ΠΎΡΡΡ Ρ ΡΠ΅Π½ΡΡΡ ΠΠΈΡΠ²Π° (ΠΏΡΡΠΊΠΈ Π·Ρ ΠΠ²ΡΡΠΈΠ½Π΅ΡΡΠΊΠΎΡ/ΠΠΈΠ±ΡΠ΄ΡΡΠΊΠΎΡ) ΡΠ· Π·Π΅Π»Π΅Π½ΠΎΡ ΠΏΠ°Π½ΠΎΡΠ°ΠΌΠ½ΠΎΡ ΡΠ΅ΡΠ°ΡΠΎΡ. ΠΡΠΎΠ±Π»Π΅ΠΌΠ° Π±Π»Π΅ΠΊΠ°ΡΡΡΠ² Π²ΠΈΡΡΡΠ΅Π½Π° Π½Π° 100%;
- ΠΡΠ΄ΠΏΡΡΡΠΊΠ° β Ρ ΡΠ΅Π±Π΅ Π±ΡΠ΄Π΅ 17 Π΄Π½ΡΠ² ΠΎΠΏΠ»Π°ΡΡΠ²Π°Π½ΠΎΡ Π²ΡΠ΄ΠΏΡΡΡΠΊΠΈ ΡΠ° 3 Π΅ΠΊΡΡΡΠ°Π²ΠΈΡ ΡΠ΄Π½Ρ β ΠΎΠ΄ΡΡΠΆΠ΅Π½Π½Ρ, Π½Π°ΡΠΎΠ΄ΠΆΠ΅Π½Π½Ρ Π΄ΠΈΡΠΈΠ½ΠΈ, Π½Π΅ΠΏΠ΅ΡΠ΅Π΄Π±Π°ΡΡΠ²Π°Π½Ρ ΠΏΠΎΠ΄ΡΡ ΡΠ° ΡΠ½ΡΠ΅.
- ΠΠΎΠ½ΡΡ Π·Π° ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΡΡ. ΠΠΈ Π·Π°Π²ΠΆΠ΄ΠΈ ΡΠ°Π΄ΡΡΠΌΠΎ ΡΠ° ΡΡΠ½ΡΡΠΌΠΎ ΡΠ΅, ΡΠΎ ΡΡΠΌΠΌΠ΅ΠΉΡΠΈ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄ΡΡΡΡ ΡΠ²ΠΎΡΡ Π΄ΡΡΠ·ΡΠ², ΡΠΎΠΌΡ Π΄ΠΎ ΠΏΠ»ΡΡΡΠ² ΡΠΎΠ±ΠΎΡΠΈ Π· ΠΏΠ΅ΡΠ΅Π²ΡΡΠ΅Π½ΠΎΡ ΡΠ° Π½Π°Π΄ΡΠΉΠ½ΠΎΡ Π»ΡΠ΄ΠΈΠ½ΠΎΡ ΠΌΠΈ Π΄ΠΎΠ΄Π°ΡΠΌΠΎ Π±ΠΎΠ½ΡΡ;
- Π Π΅Π»ΠΎΠΊΠ΅ΠΉΡ β Π·ΠΌΡΠ½Π° ΠΌΡΡΡΠ° ΠΏΡΠΎΠΆΠΈΠ²Π°Π½Π½Ρ Π·Π°Π²ΠΆΠ΄ΠΈ ΡΠΏΠΎΠ½ΡΠΊΠ°Ρ Π΄ΠΎ Π΄ΠΎΠ΄Π°ΡΠΊΠΎΠ²ΠΈΡ Π²ΠΈΡΡΠ°Ρ, Π° Π½Π°Ρ Π±ΠΎΠ½ΡΡ Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°Ρ ΠΏΡΠΎΠΉΡΠΈ ΡΠ΅ΠΉ ΠΏΠ΅ΡΡΠΎΠ΄ Π±Π΅Π· Π·Π°ΠΉΠ²ΠΈΡ ΡΡΡΠ΅ΡΡΠ².
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Β· 18 views Β· 4 applications Β· 3d
Middle Product Analyst
Countries of Europe or Ukraine Β· Product Β· 1.5 years of experience Β· Upper-IntermediateΠ’ΠΈ ΠΏΡΠ°ΡΡΡΡ Ρ ΠΊΠΎΠΌΠ°Π½Π΄Ρ Π΄ΠΎΡΠ²ΡΠ΄ΡΠ΅Π½ΠΈΡ Π°Π½Π°Π»ΡΡΠΈΠΊΡΠ², Π΄Π΅ ΡΡΠ½ΡΡΡΡ ΡΠ²ΡΠΉ Π²Π½Π΅ΡΠΎΠΊ Ρ Π½Π°Π΄Π°ΡΡΡ ΠΏΡΠΎΡΡΡΡ Π΄Π»Ρ ΡΠ½ΡΡΡΠ°ΡΠΈΠ²ΠΈ, ΠΌΠ°ΡΡ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΠΎΠ±ΠΌΡΠ½ΡΠ²Π°ΡΠΈΡΡ Π΅ΠΊΡΠΏΠ΅ΡΡΠΈΠ·ΠΎΡ Π· ΠΊΠΎΠ»Π΅Π³Π°ΠΌΠΈ ΡΠ° ΡΠΎΠ·Π²ΠΈΠ²Π°ΡΠΈΡΡ Ρ Π²ΠΈΠ±ΡΠ°Π½ΠΎΠΌΡ Π½Π°ΠΏΡΡΠΌΠΊΡ, Π±Π΅ΡΠ΅Ρ ΡΡΠ°ΡΡΡ Ρ ΡΠΊΠ»Π°Π΄Π½ΡΡΠΈΡ ΡΠ° ΡΡΡΠ°ΡΠ΅Π³ΡΡΠ½ΠΎ Π²Π°ΠΆΠ»ΠΈΠ²ΠΈΡ Π·Π°Π΄Π°ΡΠ°Ρ , ΡΠΎ...Π’ΠΈ ΠΏΡΠ°ΡΡΡΡ Ρ ΠΊΠΎΠΌΠ°Π½Π΄Ρ Π΄ΠΎΡΠ²ΡΠ΄ΡΠ΅Π½ΠΈΡ Π°Π½Π°Π»ΡΡΠΈΠΊΡΠ², Π΄Π΅ ΡΡΠ½ΡΡΡΡ ΡΠ²ΡΠΉ Π²Π½Π΅ΡΠΎΠΊ Ρ Π½Π°Π΄Π°ΡΡΡ ΠΏΡΠΎΡΡΡΡ Π΄Π»Ρ ΡΠ½ΡΡΡΠ°ΡΠΈΠ²ΠΈ, ΠΌΠ°ΡΡ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΠΎΠ±ΠΌΡΠ½ΡΠ²Π°ΡΠΈΡΡ Π΅ΠΊΡΠΏΠ΅ΡΡΠΈΠ·ΠΎΡ Π· ΠΊΠΎΠ»Π΅Π³Π°ΠΌΠΈ ΡΠ° ΡΠΎΠ·Π²ΠΈΠ²Π°ΡΠΈΡΡ Ρ Π²ΠΈΠ±ΡΠ°Π½ΠΎΠΌΡ Π½Π°ΠΏΡΡΠΌΠΊΡ, Π±Π΅ΡΠ΅Ρ ΡΡΠ°ΡΡΡ Ρ ΡΠΊΠ»Π°Π΄Π½ΡΡΠΈΡ ΡΠ° ΡΡΡΠ°ΡΠ΅Π³ΡΡΠ½ΠΎ Π²Π°ΠΆΠ»ΠΈΠ²ΠΈΡ Π·Π°Π΄Π°ΡΠ°Ρ , ΡΠΎ Π΄ΠΎΠ·Π²ΠΎΠ»ΡΡΡΡ Π²ΠΏΠ»ΠΈΠ²Π°ΡΠΈ Π½Π° ΠΏΡΠΎΠ΄ΡΠΊΡ Ρ Π·ΡΠΎΡΡΠ°ΡΠΈ ΡΠΊ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ½Π°Π». Π₯ΠΎΡΠ΅Ρ Π±ΡΠ»ΡΡΠ΅ Π²ΠΈΠΊΠ»ΠΈΠΊΡΠ² Ρ ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΠ΅ΠΉ? ΠΠΎΠ½ΠΈ Π²ΠΆΠ΅ ΡΠ΅ΠΊΠ°ΡΡΡ Π½Π° ΡΠ΅Π±Π΅ Π² Π½Π°ΡΡΠΉ ΠΊΠΎΠΌΠ°Π½Π΄Ρ!
Honeytech β ΡΠ΅ Π΄ΠΈΠ½Π°ΠΌΡΡΠ½ΠΈΠΉ, ΡΠ²ΠΈΠ΄ΠΊΠΎΠ·ΡΠΎΡΡΠ°ΡΡΠΈΠΉ ΠΏΡΠΎΠ΅ΠΊΡ, ΡΠΎ Π²ΠΆΠ΅ Π·Π°ΠΉΠΌΠ°Ρ ΠΎΠ΄Π½Ρ Π· Π»ΡΠ΄Π΅ΡΡΡΠΊΠΈΡ ΠΏΠΎΠ·ΠΈΡΡΠΉ Ρ ΡΠ²ΡΡΡ Π²Π΅Π±ΠΊΠΎΠΌΡΠΊΡΡΠ². ΠΠ° ΠΎΡΡΠ°Π½Π½Ρ 2,5 ΡΠΎΠΊΠΈ ΠΌΠΈ Π·ΡΠ±ΡΠ°Π»ΠΈ ΠΊΠΎΠΌΠ°Π½Π΄Ρ ΡΠΈΠ»ΡΠ½ΠΈΡ ΡΠΏΠ΅ΡΡΠ°Π»ΡΡΡΡΠ², Π· ΡΠΊΠΈΠΌΠΈ Π²ΠΈΡΠΎΡΠ»ΠΈ Ρ 10+ ΡΠ°Π·ΡΠ² ΡΠ° ΠΏΠ»Π°Π½ΡΡΠΌΠΎ Π²ΠΈΡΠΎΡΡΠΈ ΡΠ΅ Π² ΡΡΠΈΡΡ Π½Π°ΡΡΡΠΏΠ½ΠΎΠ³ΠΎ ΡΠΎΠΊΡ, ΡΠΎΠΌΡ ΡΠ°ΠΌΠ΅ Π·Π°ΡΠ°Π· ΡΡΠΊΠ°ΡΠΌΠΎ Π½ΠΎΠ²ΠΎΠ³ΠΎ Π°ΠΌΠ±ΡΡΠ½ΠΎΠ³ΠΎ ΡΠ° ΠΏΡΠΎΠ°ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΊΠΎΠ»Π΅Π³Ρ. ΠΠΆΠ΅ Π·Π°ΡΠ°Π· ΠΌΠΈ Π·Π°ΠΉΠΌΠ°ΡΠΌΠΎ ΠΏΡΠΎΠ²ΡΠ΄Π½Ρ ΠΏΠΎΠ·ΠΈΡΡΡ Π·Π° ΠΎΠ±ΡΡΠ³ΠΎΠΌ ΡΡΠ°ΡΡΠΊΡ, Ρ ΠΏΠΎΠΏΠ΅ΡΠ΅Π΄Ρ β ΡΠ΅ Π±ΡΠ»ΡΡΡ ΡΡΠ»Ρ!
Π©ΠΎ ΡΠΏΡΠ°Π²Π΄Ρ Π²Π°ΠΆΠ»ΠΈΠ²ΠΎ Π΄Π»Ρ Π΄ΠΎΡΠ²ΡΠ΄ΡΠ΅Π½ΠΈΡ ΡΠΏΠ΅ΡΡΠ°Π»ΡΡΡΡΠ² β Ρ ΡΠΎ Ρ Π² Π½Π°Ρ:
π Π¨Π²ΠΈΠ΄ΠΊΠ΅ ΠΌΠ°ΡΡΡΠ°Π±ΡΠ²Π°Π½Π½Ρ ΠΏΡΠΎΠ΄ΡΠΊΡΡ
ΠΠ°Ρ ΠΏΡΠΎΡΠΊΡ Π²ΠΈΡΡΡ Ρ 10 ΡΠ°Π·ΡΠ² Π·Π° ΡΡΠΊ Ρ ΠΌΠΈ Π½Π΅ Π·ΡΠΏΠΈΠ½ΡΡΠΌΠΎΡΡ β ΡΡΠΎΠ³ΠΎ ΡΠΎΠΊΡ ΠΏΠ»Π°Π½ΡΡΠΌΠΎ Π·ΡΠΎΡΡΠΈ ΡΠ΅ Π²ΡΡΠΈΡΡ. Π¦Π΅ ΠΎΠ·Π½Π°ΡΠ°Ρ: Π±ΡΠ»ΡΡΠ΅ Π΄Π°Π½ΠΈΡ , Π½ΠΎΠ²Ρ Π°Π½Π°Π»ΡΡΠΈΡΠ½Ρ Π²ΠΈΠΊΠ»ΠΈΠΊΠΈ, ΡΠ΅Π°Π»ΡΠ½ΠΈΠΉ Π²ΠΏΠ»ΠΈΠ² Π½Π° ΡΡΡΠ°ΡΠ΅Π³ΡΡΠ½Ρ ΡΡΡΠ΅Π½Π½Ρ.
π ΠΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ Π²ΠΏΠ»ΠΈΠ²Π°ΡΠΈ ΡΠ° Π·ΡΠΎΡΡΠ°ΡΠΈ
Π£ Π½Π°Ρ Π½Π΅ΠΌΠ°Ρ Π·Π°ΠΉΠ²ΠΎΡ Π±ΡΡΠΎΠΊΡΠ°ΡΡΡ β ΡΠ²ΠΎΡ ΡΠ΄Π΅Ρ ΡΠ° ΡΠ½ΡΡΡΠ°ΡΠΈΠ²ΠΈ Π½Π΅ ΡΡΠ»ΡΠΊΠΈ Π²ΡΡΠ°ΡΡΡΡΡ, Π° ΠΉ ΡΠ΅Π°Π»ΡΠ·ΡΡΡΡΡΡ. ΠΡΠ»ΡΡΡΡΡΡ Π½Π°ΡΠΈΡ ΠΌΠ΅Π½Π΅Π΄ΠΆΠ΅ΡΡΠ² Π²ΠΈΡΠΎΡΠ»ΠΈ Π· ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ Π·Π° ΡΡΠΊ Π·Π°Π²Π΄ΡΠΊΠΈ ΡΠΈΠ»ΡΠ½ΠΈΠΌ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ.
π§ Π‘Π΅ΡΠ΅Π΄ΠΎΠ²ΠΈΡΠ΅ Π΅ΠΊΡΠΏΠ΅ΡΡΡΠ²
Π’ΠΈ Π±ΡΠ΄Π΅Ρ Ρ ΠΊΠΎΠΌΠ°Π½Π΄Ρ, Π΄Π΅ ΡΡΠ½ΡΡΡΡ Π³Π»ΠΈΠ±ΠΈΠ½Ρ Π°Π½Π°Π»ΡΡΠΈΠΊΠΈ. ΠΡΠ°ΡΡΠΉ Π· Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΠΈΠΌΠΈ ΠΌΠΎΠ΄Π΅Π»ΡΠΌΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΡΠ²Π°Π½Π½Ρ LTV, retention-Π°Π½Π°Π»ΡΡΠΈΠΊΠΎΡ, Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΎΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡ, ΠΏΠΎΠ½Π°Π΄ 60 BI-Π·Π²ΡΡΠ°ΠΌΠΈ β Ρ ΠΏΠΎΡΡΡΠΉΠ½ΠΎ ΠΏΡΠ΄ΡΠΈΠ»ΡΠΉ ΡΠ²ΠΎΡ Π΅ΠΊΡΠΏΠ΅ΡΡΠΈΠ·Ρ, ΠΎΠ±ΠΌΡΠ½ΡΡΡΠΈΡΡ Π·Π½Π°Π½Π½ΡΠΌΠΈ Π· ΠΊΠΎΠ»Π΅Π³Π°ΠΌΠΈ.
π€ ΠΡΠ΄ΡΡΠΈΠΌΠΊΠ° ΡΠ° Π°Π²ΡΠΎΠ½ΠΎΠΌΡΡ
Π’ΠΎΠ±Ρ Π½Π΅ ΠΏΠΎΡΡΡΠ±Π½ΠΎ ΠΌΡΠΊΡΠΎΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΡ β ΠΌΠΈ Π΄ΠΎΠ²ΡΡΡΡΠΌΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ½Π°Π»Π°ΠΌ. ΠΠ»Π΅ ΡΠΈ Π·Π°Π²ΠΆΠ΄ΠΈ ΠΎΡΡΠΈΠΌΠ°ΡΡ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΡ, ΠΊΠΎΠ»ΠΈ Π²ΠΎΠ½Π° ΠΏΠΎΡΡΡΠ±Π½Π°.
π Π€ΠΎΡΠΌΠ°Ρ Π½Π° Π²ΠΈΠ±ΡΡ
ΠΡΡΡ ΡΠΈ remote β ΡΠΊ Π·ΡΡΡΠ½ΠΎ ΡΠΎΠ±Ρ. ΠΠΎΠ²Π½ΠΈΠΉ ΡΠΎΡΠΏΠ°ΠΊΠ΅Ρ ΡΠ° ΠΊΠΎΠΌΡΠΎΡΡΠ½Ρ ΡΠΌΠΎΠ²ΠΈ β ΡΠ°ΠΌΠΎ ΡΠΎΠ±ΠΎΡ.Π’Π²ΠΎΡ Π·Π°Π΄Π°ΡΡ ΠΎΡ ΠΎΠΏΠ»ΡΠ²Π°ΡΠΈΠΌΡΡΡ ΡΠΊ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²Ρ, ΡΠ°ΠΊ Ρ ΠΌΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³ΠΎΠ²Ρ Π°Π½Π°Π»ΡΡΠΈΠΊΡ:
- ΠΠΎΡΡΠΊ ΡΠ½ΡΠ°ΠΉΡΡΠ² Π΄Π»Ρ ΡΠΎΠ·Π²ΠΈΡΠΊΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡ ΡΠ° ΠΏΡΠΈΠΉΠ½ΡΡΡΡ ΡΡΡΠ΅Π½Ρ;
- ΠΡΠΎΠ³Π½ΠΎΠ·ΡΠ²Π°Π½Π½Ρ LTV, Π²ΠΈΡΡΡΠΊΠΈ ΡΠ° ΠΊΠ»ΡΡΠΎΠ²ΠΈΡ ΠΌΠ΅ΡΡΠΈΠΊ;
- ΠΡΡΠ½ΠΊΠ° Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΠΈΡ ΡΠ½ΡΡΡΠ°ΡΠΈΠ²;
- ΠΠΎΠ±ΡΠ΄ΠΎΠ²Π° ΡΠ° ΠΎΠΏΡΠΈΠΌΡΠ·Π°ΡΡΡ Π·Π²ΡΡΠ½ΠΎΡΡΡ Π² Tableau Π΄Π»Ρ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΠΈΡ Ρ ΠΌΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³ΠΎΠ²ΠΈΡ ΠΊΠΎΠΌΠ°Π½Π΄;
- Π ΠΎΠ·ΡΠΎΠ±ΠΊΠ° ΡΠ° Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΡΡ data pipelines Π΄Π»Ρ ΡΡΠ°Π±ΡΠ»ΡΠ½ΠΎΠ³ΠΎ Π΄ΠΎΡΡΡΠΏΡ Π΄ΠΎ Π΄Π°Π½ΠΈΡ ;
ΠΠ½Π°Π»ΡΠ· Ρ ΠΎΡΡΠ½ΠΊΠ° ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡΠ² A/B ΡΠ΅ΡΡΡΠ².
Π―ΠΊΡΠΎ ΡΠΈ ΡΡΠΊΠ°ΡΡ ΠΊΠΎΠΌΠ°Π½Π΄Ρ, Π΄Π΅ ΡΠ²ΠΎΡ Π΅ΠΊΡΠΏΠ΅ΡΡΠΈΠ·Π° ΠΌΠ°ΡΠΈΠΌΠ΅ ΡΠ΅Π°Π»ΡΠ½ΠΈΠΉ Π²ΠΏΠ»ΠΈΠ², Π΄Π΅ ΡΡΠ½ΡΡΡΡ ΡΠ½ΡΡΡΠ°ΡΠΈΠ²Ρ ΡΠ° Π΄ΠΎΠ²ΡΡΡΡΡΡ Ρ ΠΏΡΠΈΠΉΠ½ΡΡΡΡ ΡΡΡΠ΅Π½Ρ β ΡΠΎΠ±Ρ Π΄ΠΎ Π½Π°Ρ! Π ΠΎΡΡΠΈ ΡΠ°Π·ΠΎΠΌ ΡΠ· ΠΏΡΠΎΡΠΊΡΠΎΠΌ, ΡΠΎ ΠΌΠ°ΡΡΡΠ°Π±ΡΡΡΡΡΡ ΠΊΠΎΠΆΠ½ΠΎΠ³ΠΎ Π΄Π½Ρ!
Π‘ΠΊΡΠ»ΠΈ, ΡΠΊΡ Π΄ΠΎΠΏΠΎΠΌΠΎΠΆΡΡΡ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ Π²ΠΈΠΊΠΎΠ½ΡΠ²Π°ΡΠΈ Π·Π°Π΄Π°ΡΡ
Π’Π΅Ρ Π½ΡΡΠ½Ρ Π½Π°Π²ΠΈΡΠΊΠΈ:
- ΠΡΠ΄ 1.5 ΡΠΎΠΊΡΠ² Π΄ΠΎΡΠ²ΡΠ΄Ρ Π½Π° ΠΏΠΎΠ·ΠΈΡΡΡ Π°Π½Π°Π»ΡΡΠΈΠΊΠ° Π² ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΠΈΡ IT-ΠΊΠΎΠΌΠΏΠ°Π½ΡΡΡ ;
- ΠΠΏΠ΅Π²Π½Π΅Π½ΠΈΠΉ ΡΡΠ²Π΅Π½Ρ SQL (Π΄ΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· BigQuery β Π±ΡΠ΄Π΅ ΠΏΠ΅ΡΠ΅Π²Π°Π³ΠΎΡ);
- ΠΠΎΡΠ²ΡΠ΄ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ Python Π΄Π»Ρ Π°Π½Π°Π»ΡΠ·Ρ Π΄Π°Π½ΠΈΡ ;
- Π ΠΎΠ·ΡΠΌΡΠ½Π½Ρ ΠΊΠΎΠ³ΠΎΡΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΡΠ·Ρ, Π²ΠΌΡΠ½Π½Ρ Π·Π°ΡΡΠΎΡΠΎΠ²ΡΠ²Π°ΡΠΈ ΠΉΠΎΠ³ΠΎ Π½Π° ΠΏΡΠ°ΠΊΡΠΈΡΡ;
- ΠΠΎΡΠ²ΡΠ΄ ΠΎΡΡΠ½ΠΊΠΈ A/B-ΡΠ΅ΡΡΡΠ² ΡΠ° ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ Π°Π½Π°Π»ΡΡΠΈΡΠ½ΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ.
ΠΡΠΎΠ±ΠΈΡΡΡ ΡΠΊΠΎΡΡΡ:
- ΠΡΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡΡΡ ΡΠ° Π΅Π½Π΅ΡΠ³ΡΠΉΠ½ΡΡΡΡ. Π’ΠΈ Π½Π΅ Π±ΠΎΡΡΡΡ ΡΠΊΠ»Π°Π΄Π½ΠΈΡ Π·Π°Π΄Π°Ρ Ρ ΡΠ²ΠΈΠ΄ΠΊΠΎΠ³ΠΎ ΡΠ΅ΠΌΠΏΡ β ΡΠ΅ Π»ΠΈΡΠ΅ ΠΏΡΠ΄ΠΆΠΈΠ²Π»ΡΡ ΡΠ²ΡΠΉ ΡΠ½ΡΠ΅ΡΠ΅Ρ;
- ΠΠ½ΡΠ΅ΡΠ΅Ρ Π΄ΠΎ Π³Π»ΠΈΠ±ΠΈΠ½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΡΠ·Ρ. Π’ΠΎΠ±Ρ ΡΠΏΡΠ°Π²Π΄Ρ ΡΡΠΊΠ°Π²ΠΎ Π·Π½Π°Ρ ΠΎΠ΄ΠΈΡΠΈ ΡΠ½ΡΠ°ΠΉΡΠΈ Π² Π΄Π°Π½ΠΈΡ Ρ ΡΠΎΡΠΌΡΠ²Π°ΡΠΈ Π½Π° ΡΡ ΠΎΡΠ½ΠΎΠ²Ρ Π³ΡΠΏΠΎΡΠ΅Π·ΠΈ ΡΠ° ΡΡΡΠ΅Π½Π½Ρ;
ΠΠ½Π°Π»ΡΡΠΈΡΠ½Π° Π·ΡΡΠ»ΡΡΡΡ. ΠΠΌΡΡΡ ΠΊΡΠΈΡΠΈΡΠ½ΠΎ ΠΌΠΈΡΠ»ΠΈΡΠΈ, Π±Π°ΡΠΈΡΠΈ Π·Π²βΡΠ·ΠΊΠΈ ΡΠ° ΠΏΡΠ°ΡΡΠ²Π°ΡΠΈ Π· Π±Π°Π³Π°ΡΠΎΡΠ°ΠΊΡΠΎΡΠ½ΠΈΠΌΠΈ ΠΌΠΎΠ΄Π΅Π»ΡΠΌΠΈ.
Π’ΠΈ Π±ΡΠ΄Π΅Ρ ΠΏΡΠ°ΡΡΠ²Π°ΡΠΈ ΡΠ°Π·ΠΎΠΌ Π· Head of Analytics ΡΠ° Π΄ΠΎΡΠ²ΡΠ΄ΡΠ΅Π½ΠΈΠΌΠΈ ΠΊΠΎΠ»Π΅Π³Π°ΠΌΠΈ-Π°Π½Π°Π»ΡΡΠΈΠΊΠ°ΠΌΠΈ, ΡΠΊΡ Π΄ΠΎΠΏΠΎΠΌΠΎΠΆΡΡΡ ΡΠΎΠ±Ρ ΡΠ²ΠΈΠ΄ΠΊΠΎ ΡΡΠ°ΡΠΈ ΠΏΡΠΎΡΡ Ρ ΡΠ²ΠΎΡΠΉ ΡΡΠ΅ΡΡ!
Π¦ΡΠΊΠ°Π²ΠΎ, ΡΠΎ ΡΠ΅ ΠΏΡΠΎΠΏΠΎΠ½ΡΡΠΌΠΎ?
- Π ΠΎΠ±ΠΎΡΠ° Π½Π° Π½Π°ΠΉΠ±ΡΠ»ΡΡ ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠ½ΠΈΡ ΡΠΈΠ½ΠΊΠ°Ρ Tier1 (Π‘Π¨Π, ΠΠ°Π½Π°Π΄Π°, ΠΡΠΈΡΠ°Π½ΡΡ, ΠΠ²ΡΡΡΠ°Π»ΡΡ Ρ Ρ.Π΄), ΡΠΎ Π΄ΠΎΠ·Π²ΠΎΠ»ΡΡ ΡΡΠ°ΡΠΈ Π΅ΠΊΡΠΏΠ΅ΡΡΠΎΠΌ Ρ ΡΠ²ΠΎΡΠΉ ΡΠΏΡΠ°Π²Ρ.
- ΠΠ°Π³Π°ΡΠΎΠΌΡΠ»ΡΠΉΠΎΠ½Π½Π° Π±Π°Π·Π° ΠΊΠΎΡΠΈΡΡΡΠ²Π°ΡΡΠ² Π΄Π»Ρ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Ρ.
- Π‘ΡΡΠ°ΡΠ½Π° Π°Π½Π°Π»ΡΡΠΈΡΠ½Π° ΡΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ° Π½Π°Π»Π°ΡΡΠΎΠ²Π°Π½Π° Π·Π° Π½Π°ΠΉΠΊΡΠ°ΡΠΈΠΌΠΈ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ°ΠΌΠΈ.
- ΠΡΠ΄Π΄Π°Π»Π΅Π½Π° ΡΠΎΠ±ΠΎΡΠ° Π°Π±ΠΎ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΠΏΡΠ°ΡΡΠ²Π°ΡΠΈ Π· Π½Π°ΡΠΎΠ³ΠΎ ΠΎΡΡΡΡ Π² ΠΠΈΡΠ²Ρ, ΡΠΎ ΠΏΠΎΠ²Π½ΡΡΡΡ ΠΎΠ±Π»Π°Π΄Π½Π°Π½ΠΈΠΉ Π΄Π»Ρ ΡΠΎΠ±ΠΎΡΠΈ ΠΏΡΠ΄ ΡΠ°Ρ Π²ΡΠ΄ΠΊΠ»ΡΡΠ΅Π½Ρ ΡΠ²ΡΡΠ»Π° + ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΠΊΠΎΡΠΈΡΡΡΠ²Π°ΡΠΈΡΡ ΠΎΡΡΡΠΎΠΌ Ρ ΠΡΠ²ΠΎΠ²Ρ.
- ΠΠ½ΡΡΠΊΠΈΠΉ Π³ΡΠ°ΡΡΠΊ ΡΠ° ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΡΠ°ΠΌΠΎΡΡΡΠΉΠ½ΠΎ ΠΏΠ»Π°Π½ΡΠ²Π°ΡΠΈ ΡΠ²ΡΠΉ ΡΠΎΠ±ΠΎΡΠΈΠΉ Π΄Π΅Π½Ρ.
- 28 ΡΠΎΠ±ΠΎΡΠΈΡ Π΄Π½ΡΠ² Π²ΡΠ΄ΠΏΡΡΡΠΊΠΈ Π½Π° ΡΡΠΊ (ΠΏΡΡΠ»Ρ 3 ΠΌΡΡΡΡΡΠ² ΡΠΏΡΠ²ΠΏΡΠ°ΡΡ) ΡΠ° Π΄ΠΎ 30 Π΄Π½ΡΠ² sick leave Π· ΠΌΠ΅Π΄ΠΈΡΠ½ΠΈΠΌ ΠΏΡΠ΄ΡΠ²Π΅ΡΠ΄ΠΆΠ΅Π½Π½ΡΠΌ. Π ΡΠ°ΠΊΠΎΠΆ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΡΡΠ°Π½ΡΡΠ΅ΡΡ ΡΠΎΠ±ΠΎΡΠΈΡ Π΄Π½ΡΠ² ΡΠ° days off ΠΏΠΎ Π΄Π΅ΡΠΆΠ°Π²Π½ΠΈΡ ΡΠ²ΡΡΠ°Ρ Π£ΠΊΡΠ°ΡΠ½ΠΈ.
- ΠΠ΅ΡΠ΅Π»Ρ ΡΡΠΌΠ±ΡΠ»Π΄ΡΠ½Π³ΠΈ ΡΠ° ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½Ρ ΠΏΠΎΠ΄ΠΎΡΠΎΠΆΡ.
- ΠΠΎΠΏΠΎΠΌΠΎΠ³Π° Π² ΡΠ΅Π»ΠΎΠΊΠ°ΡΡΡ, ΠΎΠΏΠ»Π°ΡΠ° ΠΊΠΎΠ²ΠΎΡΠΊΡΠ½Π³ΡΠ² Π°Π±ΠΎ Π΄ΠΎΠΏΠΎΠΌΠΎΠ³Π° Ρ ΠΏΡΠΈΠ΄Π±Π°Π½Π½Ρ Π·Π°ΡΡΠ΄Π½ΠΈΡ ΡΡΠ°Π½ΡΡΠΉ Π΄Π»Ρ ΠΊΠΎΠΌΡΠΎΡΡΠ½ΠΎΡ ΡΠΎΠ±ΠΎΡΠΈ ΠΏΡΠ΄ ΡΠ°Ρ Π²ΡΠ΄ΠΊΠ»ΡΡΠ΅Π½Π½Ρ Π΅Π»Π΅ΠΊΡΡΠΎΠΏΠΎΡΡΠ°ΡΠ°Π½Π½Ρ (ΠΏΡΡΠ»Ρ 3 ΠΌΡΡΡΡΡΠ² ΡΠΏΡΠ²ΠΏΡΠ°ΡΡ).
- Π ΡΠ·Π½ΠΎΠΌΠ°Π½ΡΡΠ½Ρ ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΡ Π΄Π»Ρ Π½Π°Π²ΡΠ°Π½Π½Ρ: Π΄ΠΎΠΏΠΎΠ²ΡΠ΄Ρ ΡΠΏΡΠΊΠ΅ΡΡΠ² Ρ ΡΡΠ·Π½ΠΎΠΌΠ°Π½ΡΡΠ½ΠΈΡ Π½Π°ΠΏΡΡΠΌΠ°Ρ , Π²Π΅Π»ΠΈΠΊΠ° ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½Π° Π±ΡΠ±Π»ΡΠΎΡΠ΅ΠΊΠ°, ΠΊΠΎΠΌΠΏΠ΅Π½ΡΠ°ΡΡΡ Π·ΠΎΠ²Π½ΡΡΠ½ΡΡ ΠΊΡΡΡΡΠ² Ρ, Π·Π²ΠΈΡΠ°ΠΉΠ½ΠΎ, ΡΡΠΎΠΊΠΈ Π°Π½Π³Π»ΡΠΉΡΡΠΊΠΎΡ ΠΌΠΎΠ²ΠΈ + speaking clubs.
- ΠΠ½ΡΡΡΡΡΠ½Ρ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½Π° Π²Π°Π»ΡΡΠ° Boosta coins.
ΠΠ»Π΅ Π½Π°ΠΉΠ³ΠΎΠ»ΠΎΠ²Π½ΡΡΠ΅: Honeytech β ΡΠ΅ ΠΊΠΎΠΌΠ°Π½Π΄Π° ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ½Π°Π»ΡΠ², Π΄Π΅ ΠΊΠΎΠΆΠ½ΠΈΠΉ Π²ΡΠ΄ΡΡΠ²Π°Ρ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΡ ΡΠ° Π΄ΠΎΡΡΠ³Π°Ρ ΡΠ²ΠΎΡΡ ΡΡΠ»Π΅ΠΉ!
Π―ΠΊΡΠΎ ΡΠΈ Ρ ΠΎΡΠ΅Ρ ΡΡΠ°ΡΠΈ ΡΠ°ΡΡΠΈΠ½ΠΎΡ ΡΡΠΏΡΡΠ½ΠΎΡ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ ΡΠ° Π΄ΠΎΡΡΠ³Π°ΡΠΈ Π½ΠΎΠ²ΠΈΡ ΠΊΠ°ΡΚΌΡΡΠ½ΠΈΡ Π²Π΅ΡΡΠΈΠ½ Π· Π½Π°ΠΌΠΈ β Π½Π°Π΄ΡΠΈΠ»Π°ΠΉ ΡΠ²ΠΎΡ ΡΠ΅Π·ΡΠΌΠ΅ ΡΠ° ΠΏΡΠΈΡΠ΄Π½ΡΠΉΡΡ, ΡΠΎΠ± ΡΠ°Π·ΠΎΠΌ ΠΏΠΎΠ±ΡΠ΄ΡΠ²Π°ΡΠΈ Π½ΠΎΠ²Ρ Π΅ΠΏΠΎΡ Ρ Ρ ΡΠ²ΡΡΡ Π²Π΅Π±ΠΊΠΎΠΌΡΠΊΡΡΠ²!
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