Jobs Data & Analytics

Are you passionate about turning data into actionable insights? We are looking for a Senior BI Engineer to join our Data & Analytics team and help shape reporting, dashboarding, and data-driven decision-making across diverse business and potentially government-related projects.

This is a Senior-level role with hybrid or remote work options, offering flexibility and opportunities to collaborate with talented professionals worldwide. The ideal candidate has strong hands-on experience with BI tools, advanced SQL, data modeling, and close collaboration with business stakeholders. This role requires not only technical expertise but also the ability to understand business needs, translate them into clear reporting solutions, and ensure data accuracy and reliability.

At Sigma Software, we value innovation, precision, and teamwork, and we provide a supportive environment where your expertise can make a real impact.

Why join us? You’ll work on meaningful projects, gain exposure to different domains, and enjoy benefits such as professional growth opportunities, a global team culture, and access to cutting-edge technologies.

Responsibilities:

— Design, build, and maintain BI reports and dashboards
— Analyze business requirements and translate them into reporting solutions
— Work with stakeholders to define KPIs, metrics, and data logic
— Write and optimize SQL queries
— Validate data accuracy and investigate inconsistencies
— Support data modeling and reporting layer improvements
— Collaborate with Data Engineers, Business Analysts, PMs, and customer-side stakeholders
— Prepare documentation for reports, metrics, and data sources
— Contribute to BI best practices within the unit

Requirements:

— 5+ years of experience in BI, data analytics, or data engineering-related roles
— Strong experience with Power BI, Tableau, Looker, or similar tools
— Advanced SQL skills
— Experience with data modeling, data structures, and data warehousing
— Understanding of ETL/ELT processes and data pipelines
— Experience with data cleaning, validation, and data quality control
— Ability to work with large datasets and complex business logic
— Good understanding of business reporting, KPIs, and dashboard design
— Experience working directly with stakeholders to gather requirements and clarify reporting needs
— Upper-Intermediate+ English level

Will be a plus:

— Experience with government, public sector, healthcare, finance, or other regulated domains
— Experience with Azure, AWS, Snowflake, BigQuery, Databricks, or Redshift
— Python or R for data analysis
— Experience with dbt, Airflow, Dagster, or similar tools
— Knowledge of data governance, access control, and compliance-related reporting
— Experience with Agile delivery

Чи захоплює вас перетворення даних на практичні інсайти? Ми шукаємо Senior BI Engineer, який приєднається до нашої команди Data & Analytics і допоможе формувати звітність, створювати дашборди та розвивати підхід до прийняття рішень на основі даних у різноманітних бізнес- та потенційно державних проєктах.

Це роль рівня Senior із можливістю гібридного або віддаленого формату роботи, що забезпечує гнучкість та можливість співпрацювати з талановитими професіоналами з усього світу. Ідеальний кандидат має значний практичний досвід роботи з BI-інструментами, поглиблені знання SQL, моделювання даних та досвід тісної взаємодії з бізнес-стейкхолдерами. Ця роль вимагає не лише технічної експертизи, але й здатності розуміти потреби бізнесу, трансформувати їх у зрозумілі рішення для звітності та забезпечувати точність і надійність даних.

У Sigma Software ми цінуємо інноваційність, точність і командну роботу та створюємо підтримуюче середовище, де ваші знання та досвід можуть мати реальний вплив.

Чому варто приєднатися до нас? Ви працюватимете над важливими проєктами, отримаєте досвід у різних доменах та матимете доступ до переваг, таких як можливості професійного розвитку, міжнародна командна культура та сучасні технології.

Обов’язки:

— Проєктувати, створювати та підтримувати BI-звіти та дашборди
— Аналізувати бізнес-вимоги та перетворювати їх на звітні рішення
— Працювати зі стейкхолдерами для визначення KPI, метрик та логіки даних
— Писати та оптимізувати SQL-запити
— Перевіряти точність даних та досліджувати невідповідності
— Підтримувати покращення моделювання даних та звітного шару
— Співпрацювати з Data Engineers, Business Analysts, PMs та стейкхолдерами з боку замовника
— Готувати документацію для звітів, метрик та джерел даних
— Вносити вклад у розвиток BI best practices у межах юніту

Вимоги:

— 5+ років досвіду у BI, data analytics або data engineering
— Досвід роботи з Power BI, Tableau, Looker чи подібними інструментами буде плюсом
— Просунуті навички роботи з SQL
— Досвід моделювання даних, роботи зі структурами даних та data warehousing
— Розуміння процесів ETL/ELT та data pipelines
— Досвід очищення, валідації та контролю якості даних
— Вміння працювати з великими наборами даних та складною бізнес-логікою
— Добре розуміння бізнес-звітності, KPI та дизайну дашбордів
— Досвід прямої роботи зі стейкхолдерами для збору вимог та уточнення звітних потреб
— Рівень англійської Upper-Intermediate+

Буде плюсом:

— Досвід роботи з урядовими, державними, медичними, фінансовими або іншими регульованими доменами
— Досвід роботи з Azure, AWS, Snowflake, BigQuery, Databricks або Redshift
— Python або R для аналізу даних
— Досвід роботи з dbt, Airflow, Dagster чи подібними інструментами
— Знання data governance, access control та звітності, пов’язаної з комплаєнсом
— Досвід роботи за Agile

An AI consulting group that builds serious, production-grade systems for companies ready to operationalize artificial intelligence across their business. We do not build gimmicks. The main focus is on custom AI solutions that integrate directly into operations and drive measurable results.

We're looking for an AI Engineer for one of our clients. This is a hands-on role for someone who works across the full stack to turn ambiguous, real-world business problems into working AI-powered products — not someone who only experiments with AI in isolation.

This role is for someone who can take a vague business challenge, independently define the AI-driven approach, and build it end to end — from backend logic to frontend interface. Example use case: building a permitting tool that helps manage government permits (air permits, water permits, etc.). You'll work at the intersection of LLMs, multimodal models, and full-stack product engineering, in a fast-paced, startup-style environment with limited structure and high ownership expectations.

Your responsibilities will include:
- Building LLM-powered tools for complex, often domain-specific product use cases;
- Developing multimodal AI applications (vision, audio, or other modalities as needed);
- Full-stack feature development combining a Python backend with a React frontend;
- Breaking down new, ambiguous business problems into concrete AI-driven engineering solutions;
- Working independently to scope, design, and ship AI features without heavy oversight;
- Collaborating with technical, infrastructure, and commercial stakeholders on the client side.

What we expect from you:
- Hands-on experience building with LLMs in production;
- Comfort working across the full stack — backend (Python) and frontend (React);
- Ability to take a vague problem and independently define and build the AI solution;
- Strong software engineering fundamentals;
- Self-driven mindset — takes ownership and moves without constant direction;
- Fast learner who picks up new technical contexts quickly;
- Comfortable with ambiguity, fast pace, and limited structure (startup mindset).

Nice to have:
- Experience with multimodal models (vision, audio, etc.);
- Prior startup or fast-paced product environment experience;
- Familiarity with agentic workflows or tool-use patterns;
- Experience in complex domain-specific tooling (e.g. legal, compliance, permitting).

We offer:
- Direct influence on production AI systems used in real business operations;
- Close collaboration with the client's product and engineering teams;
- Opportunity to build real, shipped AI products — not prototypes.

The company is building the control layer for an energy-constrained world — deploying AI, machine learning, and reinforcement learning to optimize HVAC systems, industrial equipment, and large-scale energy loads across commercial buildings, factories, hospitals, and data centers. The focus is on real, measurable impact: autonomous control systems that drive 20–30%+ energy savings in production environments.

We're looking for a BMS Control Engineer / Forward Deployment Engineer (TPM) who will join the team. This is a hands-on role for someone who doesn't just design building automation systems, but has deployed, commissioned, and optimized them in real-world infrastructure.

This role is for someone who takes full ownership of field deployments — from site discovery to production rollout. You'll work at the intersection of BMS/BAS systems, HVAC controls, and AI-driven optimization, deploying autonomous control systems across commercial buildings, factories, hospitals, and data centers.

Your responsibilities will include:

• Own deployments end-to-end: site discovery, integration, commissioning, validation, and rollout;
• Install, configure, and commission BAS/BMS and PLC-integrated systems;
• Deploy gateways, sensors, submeters, and communications infrastructure;
• Perform startup, point-to-point testing, and controls validation;
• Interface with AHUs, RTUs, chillers, boilers, pumps, cooling towers, and VFDs;
• Integrate through BACnet (IP & MS/TP), Modbus, LON, and IP networks;
• Work with Niagara, Siemens, Honeywell, Johnson Controls Metasys, Delta, and other BAS platforms;
• Configure addressing, routing, communications, and device connectivity;
• Diagnose controls hardware, wiring, networking, protocol, and sensor issues;
• Support deployment of AI-driven and RL-driven control strategies;
• Own deployment schedules, communications, milestones, and execution;
• Coordinate customers, contractors, vendors, and internal engineering teams;
• Maintain deployment plans, commissioning reports, diagrams, and as-built documentation.
   

What we expect from you:

• Degree in Electrical Engineering, Mechanical Engineering, HVAC, or related discipline — or equivalent BAS/PLC/SCADA/DCIM experience;
• 2+ years of hands-on BACnet experience (IP & MS/TP);
• 2+ years of Modbus experience;
• 2+ years of HVAC Controls / DDC / BMS experience;
• Strong understanding of BMS/DDC systems, PLCs, PID loops, hydronics, and refrigeration;
• Experience with BAS platforms: Niagara (Tridium), Siemens, Honeywell, Johnson Controls Metasys, Delta;
• Hands-on commissioning and troubleshooting experience in the field;
• Ability to work independently and take ownership in customer-facing environments.
   

Nice to have:

• Niagara (Tridium), EPA 608, NATE, or OSHA certifications;
• Experience in industrial facilities, healthcare, mission-critical environments, or data centers;
• Exposure to IoT, edge computing, SCADA, or DCIM platforms;
• Experience with LON protocol and IP networking in BAS contexts.
   

We offer:

• Full-time engagement on a high-impact infrastructure project;
• Remote-friendly with on-site deployment work at client facilities;
• Direct work with cutting-edge AI and reinforcement learning applied to real-world systems;
• Measurable impact — 20–30%+ energy savings across live deployments;
• Opportunity to help define the future of autonomous building and industrial control systems.

We are looking for a unique professional who combines a systemic understanding of HR processes with a passion for deep data analysis. We have a vast amount of scattered information that needs to be collected, cleaned, structured, and transformed into clear, actionable dashboards for the business. 

The split of tasks in this role is 70% Data Analytics and 30% HR Administration. We are not looking for someone who just knows how to build basic pivot tables. We need a hardcore analyst capable of taming any raw data array. 

Responsibilities

Tech Stack

Deep understanding of data arrays, and complex matrix formulas. 

Mandatory (ETL processes, data cleaning, normalization, and building relationships between tables). 

Creating interactive dashboards for C-level management. 

Key Responsibilities 

Working with databases

Maintaining HR metrics

Administration of the Hurma HR module

Cleaning, normalizing, and preparing raw data arrays for analysis using Power Query. 

Working with large data volumes and building robust data models in Power Pivot. 

Developing, updating, and maintaining automated dashboards in Power BI to reflect real-time team metrics. 

Administration

Maintaining internal HR databases and updating employee statuses. 

Administering operational HR processes (preparing reports, coordinating internal requests). 

Helping to optimize and automate current HR routines (shifting manual processes into digital solutions). 

Requirements:

 2–3+ years of commercial experience as an HR Analyst, People Analyst, Data Analyst, or an HR Administrator with a heavy emphasis on data analytics. 

Expert Excel Proficiency: Power Query, Power Pivot, and advanced data array manipulation must be your daily tools, not just keywords in your resume. 

Proven experience building clear, clickable dashboards in Power BI. 

 Solid understanding of basic HR metrics and IT company processes.

 Soft Skills: Exceptional attention to detail (able to spot an error in 10,000 rows of data), systemic thinking, ability to work independently, and the skill to explain numbers in plain language.

About BITHIDE SOLUTION

BitHide is an enterprise-grade crypto wallet for businesses worldwide, created in response to market needs. Around 10 years, we’ve been building secure, scalable, and privacy-focused crypto payment infrastructure, operating in 5 countries with a global team.

We are looking for a Senior Machine Learning Engineer to work on LLM-based systems with a strong emphasis on integration, end-to-end workflows, and production readiness. This role combines performance optimization (prefill/decode, throughput, latency) with hands-on work integrating components across the AI platform.

A significant part of the role involves building end-to-end integration flows and tests, particularly around token generation pipelines and system orchestration, as well as contributing to intelligent system behavior such as hardware selection and execution strategies. The role also includes developing system-level logic in Python for multi-tenant management, caching strategies, and service lifecycle management across the platform.

Responsibilities:

• Build and maintain end-to-end integration flows across the AI inference pipeline (serving, orchestration, APIs, and infrastructure);
• Design, implement, and optimize LLM inference workflows, including prefill and decode stages;
• Improve system performance with focus on throughput, latency, and interactivity;
• Write production-grade components in Python and integrate them into the broader system;
• Contribute to system-level logic such as smart hardware selection and execution strategies;

• Integrate models (open source and custom), services, and APIs into cohesive, reliable end-to-end application pipelines.

  Requirements:

• 5+ years of experience in software engineering or machine learning engineering;
• Strong proficiency in Python;
• Strong experience with LLM inference systems and performance optimization;
• Hands-on experience with system integration and end-to-end workflows;
• Experience with inference frameworks such as vLLM, TensorRT, SGLang etc;

• Experience working with GPU/accelerator-based systems.

  Would be a plus:

• Hands-on experience with Dynamo and LLM-D for LLM inference and serving;
• Familiarity with Kubernetes and cloud environments.

Preferred: Time-zone overlap with India working hours

Important: this is a Core AI R&D role requiring both strong applied ML engineering experience and research-level scientific depth. We are looking specifically for candidates with a research scientist mindset — someone who actively reads and publishes in relevant ML domains, understands state-of-the-art literature, and has demonstrated experience translating research ideas or papers into production-grade systems. Purely applied ML, analytics, or “model usage” backgrounds will not be a fit!
 

About the Opportunity

Our client is a fast-growing technology company developing advanced AI-powered solutions for industrial analytics and operational intelligence. As they continue to expand their Core AI Research & Development team, we are seeking a Senior Data Scientist with strong research and applied experience in one or more of the following areas:

• Time-series modeling for industrial sensor data
• Reinforcement learning and prescriptive decision-making
• Knowledge representation, graph learning, and multi-modal AI systems

This role offers the opportunity to work on cutting-edge AI research while driving real-world business impact through production-grade solutions.
 

Key ResponsibilitiesTime-Series Modeling

• Develop and enhance modern deep learning models for time-series analysis using large-scale industrial sensor datasets.
• Design retraining and adaptation pipelines to maintain model performance as data evolves over time.
• Apply transfer learning and low-label adaptation techniques to support new equipment types and sensor sources.
• Improve prediction accuracy across multiple asset categories.
   

Reinforcement Learning & Prescriptive Intelligence

• Design reinforcement learning frameworks that generate actionable operational recommendations.
• Develop optimization approaches that balance multiple business and operational constraints.
• Implement preference-learning techniques leveraging expert feedback and validated operational outcomes.
• Collaborate with product and engineering teams to integrate prescriptive recommendations into production environments.
   

Knowledge Representation & Multi-modal AI

• Expand and enhance domain knowledge graphs representing industrial assets, failure modes, and recommended actions.
• Apply graph-based learning methods to improve reasoning and knowledge transfer across equipment types.
• Integrate structured and unstructured data sources, including technical documentation, engineering diagrams, operator notes, and conversational data.
• Identify patterns and insights that improve model generalization across industries and customer segments.
   

Research & Collaboration

• Translate state-of-the-art research into scalable, production-ready solutions.
• Mentor junior data scientists and contribute to the growth of the research organization.
• Collaborate with cross-functional teams to bring AI innovations into customer-facing products.
• Define, monitor, and improve quality metrics for predictive and prescriptive AI systems.
• Contribute to patents, publications, and open-source initiatives where appropriate.
   

Required Qualifications, Education

• PhD preferred, or Master’s degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, or a related field.
• Exceptional candidates with equivalent industry experience will also be considered.
   

Technical Experience

• 5+ years of hands-on machine learning experience with deep expertise in at least one of:
  • Time-series modeling
  • Reinforcement learning
  • Graph machine learning and knowledge representation
• Strong Python programming skills.
• Experience with modern deep learning frameworks (PyTorch preferred).
• Practical knowledge of reinforcement learning methodologies and production-grade RL frameworks.
• Experience working with knowledge graphs, graph neural networks, embeddings, or related technologies.
• Familiarity with retrieval-augmented systems, vector databases, and unstructured data processing.
• Experience with cloud platforms and managed machine learning services.
• Strong software engineering practices, including version control, testing, and reproducible experimentation.
   

Soft Skills

• Strong product mindset with the ability to move research into production.
• Excellent communication skills and ability to work with both technical and non-technical stakeholders.
• Comfortable working in fast-paced environments with evolving priorities.
• Experience collaborating across distributed and international teams.

Nice to Have

• Experience in predictive maintenance, condition monitoring, industrial AI, or vibration analysis.
• Knowledge of physics-informed machine learning or causal inference techniques.
• Publications in leading ML conferences or journals.
• Experience with agentic AI systems, LLM evaluation, or advanced generative AI applications.
   

What Our Client Offers

• Opportunity to work on challenging AI research problems with direct business impact.
• Collaborative environment combining research excellence with product delivery.
• Remote-first culture with a globally distributed team.
• Exposure to large-scale industrial datasets and real-world AI applications.
• Competitive compensation package and long-term growth opportunities.
   

Looking forward to your reply!

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the role

We are looking for a Senior Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 5+ years of data science experience with direct commercial application to vulnerability management, operating with full autonomy.

What you will do

• Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
• Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
• Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
• Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.

Must haves

• 5+ years of commercial data science experience, operating completely autonomously with no required supervision;
• Advanced proficiency in Python, R, and SQL;
• Experience with machine learning frameworks such as TensorFlow and PyTorch;
• Experience with data visualization tools;
• Commercial experience applying data science to vulnerability management;
• Upper-intermediate English level.

Nice to haves

• Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).

The benefits of joining us

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.
• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates

If it’s a match — you’ll get an offer!

Who We Are: An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.

Always Pushing the Boundaries? You Already Belong at RISK!

Our global-scale operations are based on strong internal expertise, analytics, and data research. We have expertise in iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.

We are looking for a Senior Data Analyst to join our analytics team and help business teams make stronger decisions through reliable data, clear insights, and scalable reporting solutions.

This role is a good fit for someone who is ready to take ownership beyond dashboard development: deeply understand business needs, challenge and clarify requirements, investigate data discrepancies, identify trends and anomalies, evaluate product and marketing performance, and translate complex data into actionable recommendations.

Job Description:

• Own end-to-end analytical and reporting solutions: from business request clarification to data investigation, dashboard delivery, validation, and further optimization;
• Build, maintain, and optimize automated reports and Tableau dashboards for business, product, marketing, and regional teams;
• Monitor data quality by ensuring accuracy, consistency, and reliability of data across reports, dashboards, and reporting layers;
• Identify, investigate, and resolve data discrepancies across data sources, dashboards, and business metrics;
• Collaborate closely with stakeholders to clarify requirements, define success criteria, align metric logic, and ensure correct interpretation of data;
• Analyze product and marketing performance, highlighting trends, anomalies, risks, and growth opportunities;
• Analyze traffic efficiency, including ROI, LTV, conversion, retention, and funnel performance, to support data-driven decision-making;
• Transform business questions into clear analytical approaches, reporting solutions, or actionable recommendations;
• Improve reporting processes, optimize dashboard performance, and contribute to the scalability and usability of the analytics infrastructure;
• Proactively identify areas where analytics can improve business efficiency, decision-making, or operational visibility;

• Support less experienced analysts by sharing best practices in SQL, Tableau, data validation, and stakeholder communication.

   

Qualifications:

• 3-5 years of experience in data analytics, BI, product analytics, marketing analytics, or business analytics;
• Strong hands-on experience with Tableau: dashboard development, optimization, data source management, and performance improvement;
• Advanced SQL skills: ability to write complex analytical queries, work with multiple data sources, optimize queries, and validate data logic;
• Strong understanding of business, product, or marketing metrics: ROI, LTV, conversion, retention, funnels, traffic quality, and performance dynamics;
• Experience in translating business problems into analytical solutions and clear recommendations;
• Strong data quality mindset: attention to metric logic, consistency, accuracy, and reliability;
• Experience working directly with stakeholders: requirements gathering, expectation management, presenting results, and explaining insights;
• Ability to work independently, manage tasks end to end, and prioritize in a dynamic environment;
• Strong analytical thinking and ability to investigate ambiguous or complex business questions;
• Proficiency in Ukrainian or Russian for internal communication;

• English level: Pre-Intermediate or higher.

   

Nice to have:

• Experience in iGaming, fintech, B2C products, affiliate marketing, or high-volume digital products;
• Experience in performance marketing or traffic analysis;
• Understanding of attribution, forecasting, cohort analysis, or A/B testing;
• Experience with Python for data analysis or automation;

• Experience mentoring analysts or improving analytics processes.

   

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

At RISK, we believe that our people are the driving force behind our success. Together, we can achieve great things and push the boundaries of what's possible in the iGaming industry.

Who We Are: An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.
 

Always Pushing the Boundaries? You Already Belong at RISK!

Our global-scale operations are based on strong internal expertise, analytics, and data research. We have expertise in iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.
 

We are looking for an Reporting Analyst to join our team.
 

Responsibilities:

• Monitor data quality by validating accuracy, consistency, and completeness of data across reports and dashboards;
• Perform routine checks to ensure timely updates and reliability of reporting data;
• Collaborate with analysts and stakeholders to clarify data requirements and ensure correct interpretation of metrics;
• Create and maintain automated reports and dashboards for tracking key product metrics;
• Identify, investigate, and help resolve discrepancies in data collection, transformation, and processing;
• Optimizing Tableau dashboard performance and streamlining workflows to drive operational efficiency and enhance user experience.
   

Requirements:

• 2+ years of experience with BI tools (Tableau);
• Advanced SQL skills (MySQL, PostgreSQL) and experience in building complex analytical queries;
• Ability to translate business problems into analytical solutions;
• Strong analytical skills;
• Experience in communicating with internal stakeholders: requirements gathering, finding solutions, and presenting results;
• Ability to work independently and manage tasks from end to end;
• English level: Pre-Intermediate or higher.
  
  Our Benefit Cafeteria is Packed with Goodies:
  • Children Allowance
  • Mental Health Support
  • Sport Activities
  • Language Courses
  • Automotive Services
  • Veterinary Services
  • Home Office Setup Assistance
  • Dental Services
  • Books and Stationery
  • Training Compensation
  • And yes, even Massage!
     

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

At RISK, we believe that our people are the driving force behind our success. Together, we can achieve great things and push the boundaries of what's possible in the iGaming industry.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are looking for a business analyst to join our project to migrate from 1C to Odoo. The primary responsibilities of this role include analyzing current business processes, defining requirements, and overseeing the migration of data and processes to the new ERP system.

Full-time, long-term position.

Responsibilities:

— At least 2 years of experience as a business analyst or systems analyst;
—  Practical experience working with 1C;
—  Understanding of ERP systems and company business processes;
—  Experience participating in system automation or migration projects;
—  Skills in describing business processes (BPMN; UML is a plus);
—  Experience writing technical specifications and documentation;
—  Ability to work with large volumes of data;
—  Experience working with Odoo;
—  Experience migrating from 1C to Odoo;
—  Basic understanding of SQL (a plus);

— English intermediate.

What we offer:

— Competitive salary;

— Paid vacation and sick leaves;

— Paid day off (Ukrainian holidays);

— Ability to work from our cozy office;

— 8 hours working day, 5 days a week;

— Career growth potential;

— Free snacks, fruits, and drinks;

— Friendly team and corporate events.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

We’re looking for a Senior Machine Learning Engineer to design and scale production ML systems that power real-time personalization and decision-making at scale.

In this role, you’ll own the full ML lifecycle—from transforming raw behavioral data into meaningful features, to deploying low-latency prediction APIs, to building the observability needed to keep models reliable in production.

This is a great opportunity for someone with strong applied ML and MLOps expertise who enjoys solving complex engineering challenges and building scalable, high-impact systems.

Your responsibilities will include:

• Build and productionize ML models for ranking, personalization, and customer engagement.
• Develop pipelines that transform behavioral, demographic, and contextual signals into online and offline features.
• Design and deploy low-latency APIs and decision services for real-time decision-making.
• Implement experimentation frameworks, including A/B testing and exploration-exploitation strategies.
• Operationalize the ML lifecycle: automated training, CI/CD for models, artifact and feature versioning, and online/offline parity.
• Build observability into ML systems by monitoring data quality, model drift, and decision outcomes, and triggering retraining when needed.
• Establish closed feedback loops that connect decisions to business outcomes (e.g. conversions, engagement, fatigue signals such as unsubscribes).
• Collaborate closely with product and engineering teams to balance personalization, compliance, and business value in real-world systems.

What we expect from you:

• 5+ years of experience in applied ML engineering (recommendation systems, personalization, ranking, or advertising systems).
• Strong proficiency in Python or Go, SQL, and modern ML frameworks such as TensorFlow, PyTorch, or similar.
• Strong understanding of MLOps best practices, including CI/CD for ML, containerization (Docker), orchestration (Kubernetes, Airflow, Kubeflow), model registries, and monitoring frameworks.
• Familiarity with cloud ML platforms such as Vertex AI, SageMaker, or similar, and data warehouses like BigQuery, Snowflake, or Redshift.
• Experience deploying real-time ML systems, including low-latency serving, feature stores, and event-driven architectures.
• Understanding of multi-objective optimization and trade-offs in personalization systems.
• Comfort working cross-functionally in a dynamic startup environment with the overlap within USA time zone.
• Strong spoken and written English communication skills.

Nice to have:

• Experience in martech, adtech, CRM, or large-scale personalization platforms.
• Exposure to bandit algorithms, reinforcement learning, or causal inference for adaptive decision-making.
• Experience building systems serving millions of users at scale.
• Hands-on experience with Google Cloud Platform (GCP).
• Familiarity with observability tools such as Prometheus, Grafana, Evidently, WhyLabs, or Great Expectations for monitoring data and model health.

What we offer:

• Interesting projects and technical challenges that support both professional and personal growth.
• A long-term project with stability and impact.
• A flexible, results-oriented schedule with hybrid or remote work options.
• A comfortable, modern office in Kyiv with generator and battery backup.
• Competitive salary, medical insurance, and a supportive onboarding/trial period.
• Team-building events, including parties, online activities, picnics, and more.
• The opportunity to work in a Top Employer company (DOU 2025).

Real Data. Real Decisions. Real Product Impact.

Let’s Start With a Hello 👋

We're looking for a Product Analyst who loves turning data into meaningful product decisions.

If you're passionate about understanding user behavior, uncovering growth opportunities, and helping teams build better products through analytics—we'd love to meet you.

Who We Are

We're an international iGaming & Entertainment company building and scaling products across global markets.

Our mission is simple:
Create engaging products, deliver outstanding player experiences, and make every business decision backed by data.

Our culture?

• Fast-moving and product-driven.
• Data over assumptions.
• Experiment, learn, improve.
• Teamwork without bureaucracy.

What You'll Be Doing

• Analyze user behavior across the entire customer journey.
• Monitor key product and business metrics.
• Build dashboards and reports for Product, CRM, Marketing, and Management teams.
• Identify growth opportunities through funnel and cohort analysis.
• Evaluate product launches, promotions, and new features.
• Design and analyze A/B tests.
• Generate actionable insights that improve retention, engagement, and monetization.
• Work closely with Product Managers, CRM, Marketing, BI, and Engineering teams.
• Present analytical findings and recommendations to stakeholders.

What Makes You a Great Fit

• 2+ years of experience as a Product Analyst or Data Analyst in a product company.
• Strong SQL skills.
• Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar.
• Solid understanding of product analytics, funnels, cohorts, retention, and experimentation.
• Strong analytical mindset with the ability to transform data into business decisions.
• Excellent communication and presentation skills.
• Upper-Intermediate English or higher.

Bonus Points

• Experience in iGaming, Betting, FinTech, Gaming, or Consumer Subscription products.
• Experience with Amplitude, Mixpanel, GA4, BigQuery, ClickHouse, or Python.
• Knowledge of A/B testing methodologies and statistical analysis.
• Experience working with CRM and retention analytics.

What’s In It For You

• Fully remote work.
• Flexible working hours.
• Competitive salary.
• International product environment.
• Opportunity to influence product strategy with data.
• Career growth in a rapidly scaling company.
• Friendly, ambitious, and collaborative team.

Let’s Wrap It Up

If you're excited about solving product challenges with data, influencing business decisions, and helping millions of users enjoy better experiences—we'd love to hear from you.

Let's build smarter products together.

This role is for an experienced Product Analyst with a strong background in product analytics, experimentation, and data-driven decision-making. You will be responsible for defining product success metrics, analyzing user behavior and A/B test results, uncovering actionable insights, and collaborating cross-functionally to optimize acquisition, retention, and trading experiences while supporting business growth.
Explore opportunities at JustMarkets and become a part of our team of professionals!

Responsibilities

• Partner with Product Leads (Acquisition, Retention, Trading) to define success metrics and KPIs for new features and product roadmaps
• Design, document, and oversee the implementation of tracking plans (event taxonomy)
• Analyze A/B test results, providing clear recommendations on whether to roll out, iterate, or kill a feature based on statistical evidence
• Create and maintain executive-level dashboards and granular product-level reports
• Conduct complex research (e.g., "How does using the CopyTrading feature in the first 7 days impact 90-day retention?")

Requirements

• 3+ years of experience as a Product Data Analyst, ideally within FinTech, Trading, GameDev, or high-transaction B2C digital products
• Advanced proficiency in SQL (complex joins, window functions, query optimization) and hands-on experience with Data Warehouses (BigQuery, Snowflake, Redshift)
• Strong experience with Product Analytics and event tracking platforms (such as Amplitude, Mixpanel, GA4, Firebase Analytics) as well as BI visualization tools (Tableau, Looker, PowerBI, Superset, or similar)
• Solid understanding of statistics specifically for A/B testing (hypothesis testing, p-values, statistical significance, minimum detectable effect)
• Experience using Python or R (Pandas, SciPy, Jupyter) for deeper statistical analysis, cohort modeling, or predictive analytics
• Proven ability to design and govern product event tracking architecture from scratch

Will be a plus

• Domain knowledge in CFD trading, Crypto exchanges, or traditional brokerage businesses
• Experience with Data Engineering concepts and tools (dbt, Airflow) to build your own data pipelines
• Familiarity with mobile attribution platforms (AppsFlyer, Adjust) and deep-linking analytics

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)

ICONIC21 is expanding its Risk & Fraud team and is looking for a Junior Risk & Fraud Analyst.

We develop innovative solutions for the Live Casino industry and are looking for a motivated specialist who wants to grow in the fields of analytics, antifraud, and user behavior analysis.

In this role, you will participate in fraud investigations, analyze game mechanics and player activity, detect suspicious behavior patterns, and contribute to the improvement of existing antifraud solutions and monitoring systems.

Requirements
 

• Higher education in mathematics, statistics, computer science, or another technical field.
• Strong Microsoft Excel skills.
• Intermediate level of English.
• Analytical mindset and attention to detail.
• Ability to work with large volumes of data.
• Basic programming skills (Python/R would be a plus).
• Basic SQL knowledge.

Responsibilities
• Analyze game mechanics and user behavior. 
• Detect suspicious and anomalous patterns. 
• Participate in the automation of monitoring and analytical processes. 
• Perform statistical checks and data analysis. 
• Prepare reports and visualizations for internal teams. 

Nice to have
 

• Experience in the iGaming industry.
• Knowledge of fraud detection methodologies and risk analysis principles.
• Understanding of RTP, GGR, player behavior analysis, or anomaly detection.
• Interest in cybersecurity, integrity, and antifraud systems.
• Experience in data analysis or fraud detection would be an advantage

Working conditions
- Full-time, office-based position in Kyiv
- Night shifts only (schedule provided upon request)
- Includes weekends and public holidays on a rotating basis

• 21 working days of paid vacation per year.
• 21 working days of paid vacation per year.
• 15 paid sick days per year.
• Flexible working hours.
• Opportunity to grow in the Risk & Fraud field within an international iGaming company.
• Work in a team that values initiative, analytical thinking, and new ideas.
• Supportive and dynamic international environment.

We are a product company building AI-powered mobile applications used by over 10 million people in 150 countries. We own the entire product lifecycle — from the initial idea to large-scale global implementation. We thrive in a fast-paced environment, making data-driven decisions without unnecessary bureaucracy. If you value autonomy, rapid releases, and seeing the direct impact of your work, you will fit right in.
 

The Role

We are looking for a Senior DevOps Engineer to take full ownership of the infrastructure for our ambitious new project in the Cloud Gaming & Streaming space. Your primary mission is to build a high-performance, fault-tolerant system capable of handling massive loads and streaming content to thousands of concurrent users.
 

Work Format & Relocation

• Location: Dubai, UAE (Office).
• Trial Period: First 2–3 months are fully remote for a smooth onboarding.
• Relocation Support: Full corporate visa sponsorship and relocation support provided after the trial period.

Key Responsibilities

• Ensure high availability and seamless scalability of infrastructure supporting thousands of servers.
• Automate server setup, provisioning, and deployment using Terraform and modern configuration management tools.
• Architect and optimize systems for high-load, distributed streaming environments.
• Drive incident response, monitoring, and troubleshooting to maintain product stability.
   

Requirements

• Experience: 4+ years in a DevOps role with hands-on experience in supporting high-load systems.
• OS Expertise: Deep understanding and practical experience in both Linux and Windows administration.
• Architecture: Experience with microservices, containerization, and distributed systems.
• IaC & Automation: Proficiency in Terraform and strong scripting skills for server auto-setup.
• Language: English (Upper-Intermediate or higher, sufficient for technical collaboration).
   

Nice-to-have

• Understanding of data streaming principles and previous experience in the streaming or gaming field.
• Basic knowledge of C++ development to collaborate effectively with the core infrastructure team.
   

What We Offer

• Relocation Package: Full financial and organizational support for your move to Dubai (visa, tickets, initial housing) after the trial period.
• Modern Office: Work from a vibrant, tech-driven workspace in Dubai.
• Real Impact: Direct influence on the tech stack of a Cloud Gaming platform with a potential million-user audience.
• Ownership: Maximum autonomy in choosing tools and approaches to solve complex challenges.
• Fast-Paced Culture: A product-driven environment where decisions are made quickly, without micromanagement.
• Compensation: Competitive salary pegged to USD (to be discussed individually based on technical interview results).