Jobs Data Analyst

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.

The future of Web3 starts with you: join us as a Senior Analyst.

Requirements:

— 5+ years in analytics at a Trading Desk, CEX, prop trading or market-making firm — not bank BI analytics
— Deep hands-on knowledge of trading mechanics: P&L attribution, spread, slippage, funding rates, quoting uptime, inventory exposure — candidate knows these metrics from practice, not from textbooks
— Python — mandatory: pandas, numpy, report automation, exchange 
API data processing
— SQL — advanced: window functions, CTEs, time-series aggregations
— Tableau — proficient: calculated fields, blending, workbook publishing
— Grafana — operational dashboard design, alert configuration
— Track record of building P&L, position, and operational reports from scratch for a trading desk
— Ability to define the right KPIs independently without extensive onboarding
— Understanding of crypto exchange mechanics: derivatives, futures, spot/perp

Responsibilities:

— Build and own management reporting — independently, from week one
— Configure and maintain dashboards for real-time operational monitoring with alerting
— Audit existing dashboards and correct inaccurate metrics — including restoring broken monitors
— Independently define KPIs: proposes the structure, does not only execute tasks
— Formulate data requirements and pass requests to the tech team
— Support the reporting cycle (daily / weekly / quarterly) with direct interaction with desk heads
— Document calculation methodology and standardise metric definitions

It will be a plus:

— Experience working with market makers or institutional liquidity providers
— Familiarity with major CEX platforms (OKX, Binance, Bybit)
— Experience integrating external market datasets

Working conditions:

Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.

Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 22 business days of paid leave.
— Additional days off for national holidays.
— Health insurance.

We’re looking for a Head of People Data & Transformation to build the data, technology, and operating foundation of our People function. You’ll own the transformation of data into a single source of truth, connecting insights across Talent Acquisition, Performance, HRBP, Workforce Management and turning data into actionable, predictive insights for the business.

Responsibilities

• Build and maintain a global People Data Warehouse that brings HR data from different systems into one place
• Own HR Tech roadmap, integrating AI tools, Copilots, and low-code automations to eliminate manual processes and maximize software ROI
• Build executive dashboards and predictive models to drive data-backed strategic decisions
• Design multi-year workforce capacity and headcount forecasting models
• Improve and standardize HR processes across teams
• Manage the department budget, lead vendor vendor selection and procurement, and negotiate optimal global contracts and SLAs

Requirements

• 3+ years of management experience, including team leadership and cross-functional project coordination
• Strong background in HR with a good understanding of HR processes
• Experience integrating data from HRIS, ATS, payroll, and LMS systems
• Strong experience in People Analytics and BI tools such as Power BI, Tableau, or Looker
• Experience with statistical and predictive modeling using Python or R
• Experience working with system integrations, APIs, webhooks, automation tools, and AI/Copilot solutions
• Experience with workforce planning, headcount forecasting, skills gap analysis
• Expertise in Lean/Six Sigma methodologies, process mapping, RACI matrix design, and establishing audit-ready Standard Operating Procedures (SOPs) before system automation
• Strong commercial mindset to translate complex data and tech initiatives into ROI-driven business cases, understanding P&L impacts, org-design metrics
• Upper-Intermediate level of English

Will be a plus

• Knowledge of international data protection requirements, RBAC, data categorization, and auditing of sensitive HR data

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We are looking for a Lead Data Analyst to join the team. The role covers the full acquisition analytics cycle — from validating and consolidating data from the DB, affiliate platforms, and advertising sources to building dashboards, forecasting ROI, and providing recommendations on budget allocation. The position also serves as a point of connection with the Retention team for end-to-end traffic quality assessment.

Requirements

• 4 years of overall analytics experience, including 1-2 years specifically in marketing analytics; experience in performance/affiliate marketing in a high-traffic vertical
• Understanding of player lifecycle and retention metrics, including retention rates, reactivation, churn, and cohort analysis.
• Ability to prioritize analytical tasks, coordinate workflows, and collaborate effectively with stakeholders and team members.
• Strong SQL skills: window functions, CTEs, cohort analysis, working with large datasets, and understanding query costs
• Practical experience with BI tools (Tableau is preferred; Power BI / Looker / Metabase are also acceptable)
• Understanding of acquisition unit economics: CPA, CPL, RevShare, Hybrid, ROI/ROAS, LTV, and payback period
• Understanding of attribution and tracking: UTM, postbacks, attribution windows, multitouch vs. last-click attribution
• Python at an automation level: pandas, API data extraction, reconciliation scripts
• Ability to independently trace data back to its source rather than relying on ready-made data marts
  Nice to Have
• Experience with affiliate platforms (Affilka, Referon)
• Experience with Snowflake, dbt, and Airflow
• Experience with LTV/ROI forecasting, cohort models, and survival analysis
• Experience identifying fraudulent or low-quality traffic: bonus abuse, incentivized traffic, source spoofing
• Experience conducting and correctly interpreting A/B tests
• Experience working with retention data and CRM campaigns
• Experience in a multi-brand environment across multiple geos and currencies

Responsibilities

• Analyze the performance of acquired traffic and marketing campaigns by source, partner, and geo
• Analyze and optimize marketing funnels and identify bottlenecks
• Analyze player retention, reactivation, and cohort dynamics to identify opportunities to improve player lifecycle performance.
• Coordinate the Marketing and Retention Analytics streams, establish clear responsibilities and workflows, and support the development and autonomy of team members.
• Collect, validate, and consolidate data from multiple sources for reporting; own and maintain metric definitions
• Develop and maintain dashboards for different stakeholders
• Automate data collection and analytical processes, moving manual reporting into automated pipelines
• Generate and validate hypotheses to improve traffic ROI and operational efficiency
• Identify anomalies and conversion issues on a daily basis
• Turn raw data into actionable recommendations for budget allocation and decision-making

What we offer:

• Flexible schedule and freedom to choose your work format: remote or from our offices in Kyiv or Warsaw.
• 24 paid vacation days, sick leave, and medical insurance (already available in Ukraine; other locations -  in progress).
• A team where it’s easy to ask questions, learn, contribute, and be yourself.
• Coverage for professional events, training, and certifications.
• Team buildings, birthday gifts, and a community that truly cares.
• Zero business ties with the aggressor country - and we’re proud of that.

We are seeking a highly analytical and detail-oriented Security Data Analyst to join our Information Security team. The successful candidate will be pivotal in safeguarding our digital assets by analyzing security data, identifying threats, and providing actionable insights to strengthen our security posture. This role combines expertise in data analysis with a deep understanding of cybersecurity principles.

Main Responsibilities

Data Loss Prevention (DLP) Management

– Manage Data Leakage Prevention tool and processes end-to-end

– Designing, implementing, and supporting new DLP rules

– Focus on reducing false positives from DLP tools to improve accuracy

– Monitor the DLP dismissal process and handle custom requests

– Conduct thorough DLP testing and validation

Security Control & Risk Management

– Design, implement, and support robust data security controls

– Manage data security projects from inception to deployment

– Performing security assessments (data security perspective) on systems and applications

– Analyze requests and approving data transfer or critical access based on security policies

– Create detailed security hardenings guides and provide system configuration requireme

Data Analysis & Reporting

– Investigate security alerts, logs, and data from SIEM and DLP systems

– Perform in-depth analysis of large security datasets

– Develop and maintain key security metrics, perform audits and report for management

Security Incident Analysis & Response

– Conducting analysis for data security incidents and providing support for L3 SOC activities

– Responding to urgent incidents outside working hours as part of an on-call rotation

– Contribute to incident response by providing rapid data analysis and forensics support

Mandatory Requirements

Technical Proficiency

– 3+ years of experience in a cybersecurity role, specifically in data analysis, SOC/incident response

– Hands-on experience with DLP technologies (e.g. Symantec)

– Strong knowledge of SIEM/Logging platforms (e.g. Elastic) and log aggregation principles

– Proficiency in scripting languages (e.g., Python, PowerShell) for data manipulation and automation

– Familiarity with network protocols, operating systems (Windows, Linux), and cloud environments (AWS, Azure)

– Knowledge of privacy and data protection regulations

Analytical Skills:

– Proven ability to collect, analyze, and interpret complex technical data to solve security problems

– Excellent problem-solving skills and attention to detail

English: intermediate or higher

Ukrainian/Russian: native or advanced

Education: Bachelor’s degree in Computer Science, Information Security, or a related field, or equivalent practical experience

We offer

Vacation: Reset. Recharge. Come back stronger.

Sick Leave Allowance: Health is power. We designed the system to support you

Benefits Model: Your budget, your rules – spend it where it counts. Day one, it’s yours. No waiting, no barriers

Motivation Bonus System: We see results. We reward drive. Our bonus system fuels performance and celebrates dedication – because excellence deserves recognition

Training Balance: Learn fast. Grow faster. Upskill, stay ahead, and keep your edge sharp

Team Building: Stronger together. We connect, compete, and celebrate – great teams don’t happen by accident

Generation Program: Focused on boosting the potential of children within our families

Work & Fun Balance: Driven at work, alive beyond it. Events, surprises, and shared moments keep our spirit high and our energy unstoppable

We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back.
This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience.
We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen

About the role: In this role, you will turn numbers into insights, ensuring our marketing stays sharp and effective. From analysing campaign efficiency to connecting marketing and product analytics, you’ll spot growth opportunities and track performance with precision. Your work will directly influence data-driven decisions, keeping our marketing activities stable, scalable, and impactful. With strong results, you’ll also have the opportunity to grow in seniority and potentially lead the department in the future.

In this role, you will

• Analyze paid marketing campaigns across multiple channels, regions, creatives
• Build regular reports and provide ad-hoc analytics on marketing effectiveness (CAC, ROI, LTV, attribution).
• Connect marketing data with product metrics to measure the true business impact of campaigns.
• Monitor marketing funnel health and detect anomalies or drops in performance.
• Collaborate with product analysts, marketers, and data engineers to improve data pipelines and tracking.
• Provide actionable insights and recommendations to optimize campaigns and budget allocation.

It’s all about you

• Experience collaborating with marketing and product teams to monitor key performance metrics, identify anomalies or performance issues, and communicate actionable insights to managers for decision-making.
• Strong SQL
• Strong problem identification skills with critical thinking and a clear understanding of cause-and-effect relationships.
• Proficiency in BI tools (Tableau, Looker, or similar).
• Solid understanding of marketing metrics (CAC, ROI, LTV, ARPU, retention) and attribution models (last-click, multi-touch)
• Good communication skills to translate complex findings into business recommendations

Would be a plus

• Familiarity with Python and basic understanding of ML
• Usage of AI tools (ChatGPT, Claude AI, Gemini, etc) on a daily basis

What we offer

Care and support:

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Workspace rental reimbursement in other cities and abroad
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here — so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Technical interview
• Reference check
• Offer

About Us
 

We're building a wellness ecosystem to help people establish healthier habits. Our roadmap for the next year includes 10 new mobile apps, supplement brands, a fitness band, and a ring.
 

Our team has already built a profitable mobile app business in the utility sector, and now we’re applying our experience to the health and wellness niche. Supported by an established international business group with over 25 years of experience in the digital sector, we're combining the stability of a mature business with the speed and ownership of an early-stage team.
 

We're developing our products from the ground up and growing our team in the areas of product development, marketing, data analysis, creative design and engineering.
 

If you're excited by the opportunity to shape products from their earliest stages, make an impact through your work, and grow alongside the business, we'd love to meet you!

About the Role

Mission

Build a data-driven product development process by defining, tracking, and analyzing key metrics across the entire user journey.

Key Challenges

Establish scalable analytics frameworks, standardized reporting, and reliable data instrumentation across multiple mobile products.

Team

You'll work closely with Product Managers, Marketing, and Engineering, serving as the primary analytics partner for our mobile apps.

What You'll Do

• Partner with Product Managers and Marketing to define, track, and analyze key metrics across the entire user journey — from pre-install acquisition to monetization,
• Build and maintain scalable analytics frameworks across multiple Android and iOS applications, ensuring consistent data quality and consistent metric definitions,
• Lead data instrumentation by defining tracking requirements, event structures, and implementation standards across all products,
• Create and maintain dashboards using Looker, Tableau, Mixpanel, or similar tools to enable data-driven decision-making across Product, Marketing, and leadership,
• Measure and analyze the impact of product features, onboarding flows, AI-powered functionality, and marketing campaigns on acquisition, engagement, retention, and monetization,
• Own analytics for a portfolio of mobile products while documenting and standardizing metric definitions and reporting frameworks.

What We're Looking For

• 5+ years of experience as a Data Analyst, Product Analyst, or in a similar analytics role,
• Advanced SQL skills with experience working with large-scale datasets,
• Strong proficiency with data visualization tools such as Tableau, Looker, Power BI, or similar,
• Experience using Python or R for statistical analysis, automation, and data modeling,
• Experience with LTV and revenue forecasting,
• Strong understanding of advertising monetization, product analytics, web analytics, and subscription-based business models,
• Experience with database design and UML diagrams,
• Understanding of data warehousing concepts and analytics engineering tools such as dbt,
• English level C1 or above.

Nice to Have

• Experience in the Health & Wellness, mobile apps, or subscription-based products domain,
• Experience working in an early-stage product environment,
• Familiarity with AI tools and automation.

What We Offer

• Competitive base salary based on your experience, with the opportunity to discuss a performance bonus after successfully completing the probation period,
• Fully remote work with a flexible schedule aligned with the European time zone,
• The opportunity to join us at an early stage and help shape both our products and the way we work,
• High ownership, autonomy, and direct influence on product decisions,
• A fast-moving, collaborative environment with minimal bureaucracy,
• Work alongside experienced Product, Marketing, Data and Creative professionals while building products for a global audience,
• Potential relocation support, discussed individually.

Hiring Process

1. Intro Call with Talent Acquisition Manager (1 hour),
2. Test Assignment,
3. Final Interview with the Strategic Director (30–45 min),
4. Offer 🎉.

Ready to Make an Impact?

We'd love to hear from you.

About the role
We are looking for an Agile, product-oriented Senior Analytics Engineer to drive our
modern data architecture. You will be the bridge between raw data and business value for
our digital products and online services.
In this role, speed and value are key. You will adopt an MVP (Minimum Viable Product)
mindset to launch data products quickly, iterate fast, and provide actionable insights for our
Marketing and Finance teams. You will work on our cutting-edge stack—building robust
pipelines in dbt and BigQuery, and exposing data through our next-generation semantic
layer in Omni Analytics.

What you will do
● Modern Data Modeling: Design, build, and maintain scalable dbt models in
BigQuery. Transform raw data into clean, tested, and documented data marts ready
for analysis.
● MVP Delivery: Adopt a fast-paced, product-oriented mindset. Launch Minimum
Viable Products for data reporting to give product and business stakeholders quick
answers, then iterate based on feedback.
● Semantic Layer Ownership: Implement and govern the business logic in Omni
Analytics (or similar modern BI tools), ensuring metrics are defined once and trusted
by everyone.
● Cross-Functional Analytics: Collaborate closely with Marketing and Finance
departments to understand our digital platform metrics (CAC, LTV, ROI, conversion
funnels, retention, and MAUs) and translate them into technical solutions.
● Quality & CI/CD: Apply software engineering best practices to data: version control
(Git), automated testing, and CI/CD workflows for data pipelines.

Requirements
● Experience: 6+ years in a Data Engineering, Analytics Engineering, or advanced BI
role.
● Modern Data Stack (Essential): Extensive experience with dbt and cloud data
warehouses (preferably BigQuery, though Snowflake/Redshift is valid).
● BI & Semantic Layers: Experience with Omni Analytics is highly desired.
Alternatively, strong experience in Looker (LookML), Power BI, or Tableau, with a
clear understanding of semantic layers and governed metrics.
● Domain Knowledge: Strong understanding of digital products, online services, and
high-traffic platform dynamics. Exposure to Marketing and Finance data is highly
desirable.
● Technical Skills: Advanced SQL optimization, data modeling (star schema, OBT),
and Git workflow.
● Mindset: MVP-oriented, proactive, and capable of finding innovative solutions to
challenging problems.

Tools you will work with
BigQuery · dbt · Omni Analytics · SQL · Git · Digital product analytics platforms

About the role
The backbone of our digital business relies on flawless financial & marketing operations. We
are seeking a highly reliable and detail-oriented Analytics Engineer to manage and
optimize our core data architecture.
In this role, you will be the absolute owner of the daily data operations that feed our PSP
(Payment Service Providers), TAX, Controlling, overall Finance reporting, and our Marketing
campaign cost tracking. You will ensure our Pentaho ETLs run smoothly via Jenkins, our
MariaDB instances are highly performant, and our Qlik Sense dashboards provide the exact
numbers our stakeholders need. This is a high-impact role where precision and stability are
non-negotiable.

What you will do
● Architecture Management: Own, maintain, and optimize our core ETL pipelines
using Pentaho Kettle (version 9.3 Community).
● Database & Automation: Manage complex data transformations and queries in
MariaDB, and ensure all automated jobs are orchestrated flawlessly through Jenkins.
● Finance & Marketing Domain Ownership: Work daily with transactional data,
payment gateways (PSP), Tax reporting, Controlling reconciliations, and the daily
ingestion of marketing campaign costs from various ad platforms.
● BI & Reporting: Design, develop, and maintain critical financial dashboards and
reports in Qlik Sense, extracting logical conclusions and actionable insights.
● Production Troubleshooting: Diagnose and debug data issues in a live production
environment, ensuring financial closing and daily reporting are never delayed.

Requirements
● Experience: 4+ years of experience implementing ETL processes, managing
databases, and building BI solutions.
● Tech Stack (Essential): Deep expertise in Pentaho Kettle (or similar legacy ETL
tools like Talend or Informatica), relational databases (MariaDB, MySQL,
PostgreSQL), and job orchestration via Jenkins.
● BI Tools: Strong experience in Qlik Sense. Knowledge of Power BI or Tableau is
also valid.
● Domain Knowledge: Proven experience working with Finance data (Payment
Service Providers, Tax reporting, Controlling processes) and Marketing data
(ingesting campaign costs and ad spend tracking).
● Technical Skills: Advanced SQL, and robust error-handling in production.
● Soft Skills: Ability to work well under time constraints (especially during month-end
financial closings), outstanding communication skills, and a methodical, diagnostic
mindset.

Tools you will work with
Pentaho Kettle (v9.3 Community) · MariaDB · Jenkins · Qlik Sense · SQL

Location: Remote

Your expertise:

• Degree in Statistics / Mathematics or Finance
• SQL knowledge on a good level
• Good theoretical background in math’s 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 5 years of experience on similar position
• Python, R knowledge will be a plus

What’s 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 (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 17 million domains under management.

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.

Our client is looking for a Middle Data Analyst.

Role Overview:

We’re looking for an experienced Middle Data Analyst to join analytics team in the iGaming industry. You’ll take ownership of complex analytical tasks, drive data- informed decisions across multiple business functions, and serve as a go-to expert for data quality, player behaviour analytics, and reporting. If you have a solid background in gambling analytics and love working with large datasets, we want to hear from you.

Key Responsibilities:

• Design and own end-to-end analytical workflows in Amazon Redshift — complex multi-step SQL: window functions, CTEs, large-scale joins, and performance tuning;
• Conduct deep-dive player behaviour analyses: segmentation, RFM modelling, cohort analysis, LTV forecasting, and churn prediction;
• Analyse A/B test results — interpret statistical significance, evaluate group comparability, identify confounding factors, and deliver clear recommendations to stakeholders;
• Track and analyse iGaming KPIs — GGR, NGR, bonus abuse index, deposit/withdrawal trends, player LTV, and churn — proactively flagging anomalies;
• Integrate and actively apply AI tools into day-to-day analytical work: prompt engineering, AI-assisted SQL generation, automated insight summarisation;
• Translate complex data findings into clear, actionable outputs for non- technical stakeholders via Excel reports and presentations;
• Learn and work in EasyMorph for reporting and data preparation tasks as part of team onboarding.

Required Skills & Experience:

Technical skills:

• 3–4 years of hands-on experience as a Data Analyst in iGaming or online gambling — mandatory;
• Advanced SQL in Amazon Redshift — window functions, CTEs, subqueries, query optimisation, and working with large-scale datasets;
• Experience with BI tools (Power BI, Tableau, Looker, or similar) - working with dashboards and using them to extract insights;
• Proficiency in Excel: advanced pivot tables, vlookups and executive-level reporting;
• Strong command of iGaming KPIs: GGR, NGR, player LTV, churn rate, bonus abuse metrics, deposit/withdrawal volumes;
• Solid understanding of A/B test analysis — interpreting p-values, confidence intervals, and effect sizes; experience evaluating pre-test group balance and flagging randomisation issues;
• Practical use of AI tools in analytical workflows: LLMs for insight generation, AI-assisted querying, prompt engineering for data tasks;
• Strong data quality mindset — ability to sense-check numbers, investigate inconsistencies, and ensure analytical accuracy;
• Clear English communication, written and verbal (upper-intermediate+).

Nice to Have:

• Familiarity with Amazon QuickSight: navigating dashboards, using built-in features (Q / flow), filters, and calculated fields;
• Exposure to EasyMorph or similar ETL/data preparation platforms.

Soft Skills:

• High ownership and autonomy — you manage your tasks end-to-end without hand-holding;
• Structured analytical thinking — you break down ambiguous business questions into clear data problems;
• Proactive communication — flagging anomalies, pushing back on flawed assumptions, and keeping stakeholders aligned;
• Ability to manage multiple priorities and deliver under deadlines in a fast-paced environment;
• Collaborative mindset — comfortable working across teams and supporting junior colleagues.

The company guarantees you the following benefits:

• A positive workplace atmosphere that creates a culture of collaboration and support, making it a place you'll love working in;
• Competitive compensation and regular career development reviews;
• Flexible working hours and remote working options, you'll enjoy the freedom that the company provides;
• A generous vacation and sick leave policy, allowing you to take time off and enjoy a work-life balance;
• Financial assistance for professional development, helping you stay ahead of the curve and love your career path;
• Educational Allowances that give you the opportunity to expand your knowledge and experience;
• You'll have a monthly allowance for personal activities, giving you the opportunity to pursue your interests and hobbies outside of work;
• A comprehensive health insurance plan, depending on your current location;
• Referral program with financial rewards for bringing top talent to the company;
• Engaging in team-building activities and corporate parties.

Interview process:

• HR Interview with the Recruiter;
• 30-minute technical interview;
• 1.5-hour Final interview with the team;
• Final decision.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

Hello! We are looking for an Analyst Intern to join our team, consulting company, CanSolveIt®.  

Remote, part-time.

CanSolveIt® is a consulting company that provides services on change management and business process optimization. We work with leaders in the construction and energy industry internationally, primarily in the European and North American markets. 

This position is ideal for students who want to gain their first real hands‑on experience in a modern international consulting company. 

As an Analyst Intern, you will learn how to create new solution items, work with Smartsheet and other professional tools, and understand how consulting truly operates - from internal processes to client interactions. This is a great opportunity to grow, develop practical skills, and see what it’s like to work in a small but highly professional team.

What we offer: 

• Remote work. 
• Flexible schedule (min 20 hours per week). 
• Opportunities to grow professionally and personally (workshops, work sessions, potential external education). 
• Paid leave (24 calendar days + 10 public holidays). 
• Small and outstanding team. 
• Exciting challenges, possibility to be a part of business practices of the European and American market. 

Responsibilities: 

• Assist in the data update process for the clients. 
• Ensure sheets are accurate and up to date. 
• Maintain them each time we need to add, remove, or modify. 
• Perform monthly checkups of the items we support to ensure there are no issues. 
• Create new solution items, for example, workspaces, reports, sheets. 
• Collaboration with a Mentor‑Consultant who will assign tasks, provide guidance, and support you throughout your learning and work process. 
• Collaborate with team members to verify and reconcile data.

Requirements: 

• Basic analytical skills with the ability to organize information, identify simple patterns, and draw straightforward conclusions. 
• Work Schedule: We usually offer flexible working hours, but for this position we are looking for a student who can work in the evening or be available for meetings with the supervisor between 15:00 and 20:00 (Ukraine time).
• Excellent written and verbal communication skills in Ukrainian and English (Upper - Intermediate+).   
• Attention to details
• Readiness for repetitive tasks. 
• Willingness to learn and work with licensed software tools such as Smartsheet, Microsoft 365, Excel, and SharePoint.

Recruiting Process: 

1. Screening interview with HR  (1 hour)
2.  Interview with the CEO and Technical interview  (1 hour)

3. Interview with Team  (30-45 min)

    

Join the CanSolveIt® team and be part of a dynamic consulting firm that drives positive change and innovation within the construction and energy management industries. 

Turbo Stars is a multi-product IT company delivering fast, high-quality, and cutting-edge B2B solutions for the iGaming industry.
We’re always on the lookout for our kind of people — and right now, we’re looking for a Risk Manager to join our team 🚀

Requirements:
- Experience as a Risk Manager in sports and/or esports is mandatory. We also consider candidates without commercial experience but with strong knowledge of sports
- Attention to detail, stress resistance, non-confrontational attitude
- Analytical mindset; ability and willingness to work with numbers
- Basic knowledge of sports and esports is required
- Ability to work autonomously, critically assess situations, find relevant sources of information, and make well-reasoned decisions
- Basic mathematical skills

Responsibilities:
- Monitoring and moderation of sports events: adding events and verifying the correctness of the format
- Checking reports and working with numerical data
- Settling events and bets
- Communicating with sports data providers
- Communicating with the technical team regarding issues and improvements (bugs)

We offer:
🧘‍♂️ Work-life balance — even in challenging times
- We have created an environment where it’s pleasant to work and grow. You’ll find the balance between work and leisure and feel what it’s like to be part of a team that truly values you.

💻 Work format
- Choose where and how to work — from home, the office, or anywhere in the world.
- Work schedule: 2/2, 3/3 (mandatory night shifts)

🎉 Atmosphere and development
-  Gifts, giveaways, training, team buildings, and corporate events — you’ll never be bored with us!
-  Internal training, mentoring, and access to courses.
-  Career growth without bureaucracy.

🏝 Vacation and sick leave
 🗓 Annual paid leave: 15 working days + 3 additional days off
 💊 Paid sick leave: 10 days per year
 🧠 Professional support: access to psychologist consultations (compensation package may be extended)
 💻 Online development: regular webinars, workshops, and training on both professional and general topics

🚀 Why us?
If you are looking for a friendly and ambitious product company that:
-  Uses modern technologies
-  Values initiative and independence
-  Is focused on the constant development of the team and the product

Then we are waiting for you! 🤝

CRYPTO TRADER

Hi! We’re GT Protocol — an AI-powered crypto trading ecosystem that helps traders automate and optimize their trading with AI.
 

We’re currently looking for experienced traders to partner with us on AI Hedge Fund — our public experiment exploring how AI models perform when managing investment portfolios.
 

Five leading AI models — Claude, GPT, Gemini, DeepSeek, and Grok — manage separate virtual portfolios and compete across profitability, decision quality, and risk management. We’re also testing a Committee Variant, where each model takes on a specialized role and contributes to a shared investment strategy.
 

We’re looking for traders who can evaluate AI decisions from a real market perspective, identify weaknesses, and help us improve the approach.
 

Format: remote partnership, not traditional employment.
 

What you’ll do:

• Analyze trading and investment decisions made by AI models
• Evaluate their reasoning, risk management, and response to market conditions
• Provide direct, actionable feedback on the strengths and weaknesses of AI decisions
• Compare the approaches of individual models and the Committee Variant
• Suggest improvements for AI Hedge Fund and our trading products
• Test new AI-powered trading features and experimental solutions
• Work directly with the GT Protocol C-Level and product team

What we’re looking for:

• Real-world experience trading crypto markets with proofs
• A well-defined approach to market analysis and trading decisions
• Strong understanding of technical analysis and risk management
• Ability to critically evaluate and challenge trading decisions
• Willingness to share practical expertise and give direct feedback
• Genuine interest in AI, automation, and the future of trading technology

Nice to have:

• Systematic / algorithmic trading experience
• Experience building and backtesting trading strategies
• Experience with trading bots, TradingView, or exchange APIs
• DeFi / CeFi experience
• Your own trading community or active audience
• English for working with an international team

What we offer:

• Financial terms discussed individually based on the format and level of involvement
• Direct access to the GT Protocol C-Level and product team
• A chance to influence the development of AI Hedge Fund and future AI trading products
• Early access to experiments and new features
• The opportunity to work directly with the results and decisions of leading AI model

If you want to be more than just an observer of AI trading and help shape how AI makes trading decisions — fill out the form below 👇🏻

Tell us about your trading experience, specialization, and approach to the market. We’ll get in touch to connect and discuss a potential partnership.

Product:

An AI-powered platform designed to transform how finish materials suppliers price their offerings and compete for project opportunities.

It combines advanced artificial intelligence, deep domain expertise, and a modern, intuitive user interface to help revenue teams and executives respond to customer requests faster and improve their ability to bid on new projects effectively.

As a result, companies can increase response speed, scale their bidding capacity, and improve win rates in highly competitive markets.

Responsibilities:

• Tag and annotate images, drawings, and documents according to detailed guidelines
• Ensure high accuracy and consistency in labeling tasks
• Follow internal processes and quality standards

Requirements:

• Strong attention to detail and ability to perform repetitive tasks
• Analytical mindset and structured work approach
• At least upper intermediate English level
• Previous experience in data tagging/labeling is a plus, but not required

CRYPTO TRADER

Hi! We’re GT Protocol — an AI-powered crypto trading ecosystem that helps traders automate and optimize their trading with AI.
 

We’re currently looking for experienced traders to partner with us on AI Hedge Fund — our public experiment exploring how AI models perform when managing investment portfolios.
 

Five leading AI models — Claude, GPT, Gemini, DeepSeek, and Grok — manage separate virtual portfolios and compete across profitability, decision quality, and risk management. We’re also testing a Committee Variant, where each model takes on a specialized role and contributes to a shared investment strategy.
 

We’re looking for traders who can evaluate AI decisions from a real market perspective, identify weaknesses, and help us improve the approach.
 

Format: remote partnership, not traditional employment.
 

What you’ll do:

• Analyze trading and investment decisions made by AI models
• Evaluate their reasoning, risk management, and response to market conditions
• Provide direct, actionable feedback on the strengths and weaknesses of AI decisions
• Compare the approaches of individual models and the Committee Variant
• Suggest improvements for AI Hedge Fund and our trading products
• Test new AI-powered trading features and experimental solutions
• Work directly with the GT Protocol C-Level and product team

What we’re looking for:

• Real-world experience trading crypto markets with proofs
• A well-defined approach to market analysis and trading decisions
• Strong understanding of technical analysis and risk management
• Ability to critically evaluate and challenge trading decisions
• Willingness to share practical expertise and give direct feedback
• Genuine interest in AI, automation, and the future of trading technology

Nice to have:

• Systematic / algorithmic trading experience
• Experience building and backtesting trading strategies
• Experience with trading bots, TradingView, or exchange APIs
• DeFi / CeFi experience
• Your own trading community or active audience
• English for working with an international team

What we offer:

• Financial terms discussed individually based on the format and level of involvement
• Direct access to the GT Protocol C-Level and product team
• A chance to influence the development of AI Hedge Fund and future AI trading products
• Early access to experiments and new features
• The opportunity to work directly with the results and decisions of leading AI model

If you want to be more than just an observer of AI trading and help shape how AI makes trading decisions — fill out the form below 👇🏻

Tell us about your trading experience, specialization, and approach to the market. We’ll get in touch to connect and discuss a potential partnership.