Jobs Data & Analytics

Location: Remote

Type: Full-Time 

Working hours: Must be available at least until 2:00 PM NYC time (Kyiv time 14:00–22:00)

Salary: Based on experience

Company Introduction

Ultiself is the #1 biohacking and self-improvement app on the App Store and Google Play. We use AI to build personalized daily routines that help people improve their health, productivity, and overall well-being.

Our primary marketing channels are Facebook, Instagram, and TikTok. As we continue to scale, we are looking for a strong Marketing Data Analyst to support and improve our analytics infrastructure, ensure data accuracy, and help drive data-informed decisions across marketing and product teams.

Who We Are Looking For

We are looking for an experienced analyst who: 

• Has strong expertise in marketing and product analytics
• Understands user acquisition funnels, attribution, and conversion tracking
• Can independently identify, investigate, and resolve tracking issues
• Is comfortable working with large datasets and transforming data into actionable insights
• Enjoys working in a fast-paced, growth-oriented environment
• Has strong analytical thinking and problem-solving skills

Main Responsibilities:

• Collaborate with developers to maintain and improve tracking and attribution systems
• Create weekly and monthly reports on marketing and product performance
• Analyze user behavior and identify opportunities to improve conversion, retention, and engagement
• Design, execute, and evaluate A/B tests across landing pages, onboarding flows, and app store listings
• Monitor analytics implementations and quickly resolve tracking discrepancies or data quality issues
• Ensure data accuracy and consistency across all reporting systems
• Conduct competitor research and provide recommendations to improve business performance and conversion rates
• Support decision-making with data-driven insights and clear reporting

Requirements:

• English level B1 or higher
• 3+ years of experience in marketing, product, mobile app, or web analytics
• Strong experience with:
• Google Analytics 4 (GA4)
• Google Tag Manager (GTM)
• BigQuery
• Google Cloud Platform (GCP)
• Amplitude
• Tableau and/or Looker Studio
• Strong understanding of attribution models, conversion tracking, KPIs, and marketing performance metrics
• Advanced Excel/Google Sheets skills
• Strong SQL skills
• Experience building dashboards and visualizing data for business stakeholders
• Ability to work independently and manage multiple priorities

Nice to Have

• Experience with Mixpanel
• Experience with Firebase or other mobile analytics platforms
• Experience integrating analytics platforms such as Amplitude or Mixpanel with AI-powered workflows, models, or automation systems
• Experience in health, wellness, self-improvement, or subscription-based mobile applications
• Experience working with CRM platforms such as ActiveCampaign, Infusionsoft, or similar tools
• Knowledge of Python or other analytical programming languages
• Additional language skills (Ukrainian, Spanish, etc.)

Interview Process:

• Interview with HR (30 mins)
• Interview with Operations Manager and Lead of Analytics (1 hour) 
• Interview with CEO (30 mins)

What We Offer

• Fully remote work with flexible hours
• 5 paid sick days per year
• 20 paid vacation days per year (after probation period)
• Opportunity to work on a fast-growing global product
• A collaborative team with real opportunities for professional growth and career development

Please send your resume and we will get back to you within 5-7 business days.

We look forward to hearing from you and potentially building something great together!

Responsibilities:
• Work closely with different departments (Marketing, Sales, HR, Finance, etc.) to understand their workflows and identify opportunities to improve efficiency using AI tools.
• Analyze existing processes and propose automation or AI-assisted solutions.
• Implement AI-powered automations using available tools (LLMs, workflow automation platforms, data tools, etc.).
• Build and maintain internal AI workflows, prompts, and integrations.
• Train and support team members in using AI tools in their daily work.
• Monitor performance of implemented automations and continuously improve them.
• Document AI workflows, best practices, and internal guidelines.

Requirements:
• Strong curiosity about AI and automation and motivation to continuously learn.
• Basic understanding of AI tools (e.g. LLMs, automation platforms, data tools) and how they can be applied in business processes.
• Analytical mindset and ability to break down workflows and identify inefficiencies.
• Basic technical skills (e.g. working with APIs, automation tools, spreadsheets, or scripting is a plus).
• Experience in operations, data analysis, product, or technical roles is a plus.
• Ability to communicate with both technical and non-technical teams.
• Problem-solving mindset and willingness to experiment with new tools.
• Self-driven and proactive approach to identifying improvement opportunities.

Nice to Have:

• Experience with automation tools (Zapier, Make, n8n, etc.).
• Experience with prompt engineering and LLM-based workflows.
• Basic knowledge of Python, SQL, or data analysis.
• Experience implementing internal tools or process improvements.

We offer:
• Convenient work schedule (8/9/10/11 — 17/18/19/20);
• 21 working days of vacation;
• 10 working days of sick leave;
• Extra days off for birthday, wedding, etc and for public holidays;
• Payment for training;
• Financial and intangible gifts from the company;
• Free communication, the ability to influence processes and implement your ideas;
• Comfortable and easy management, no tyranny.

How We Hire:
We’re not here to make you jump through flaming hoops (unless that’s your hobby — in which case, we’ll cheer you on). Our goal is to see if we’re a good match for each other — and to make sure you enjoy the ride.

1. Pre-Screen Call — 30 min
A quick hello with one of our recruiters. We’ll talk about your background, your goals, and what you’re looking for. In return, we’ll tell you more about ABXplay, the role, the team, and answer any burning questions.
2. Hard Skills Interview — 30–60 min
You’ll meet your potential manager. We’ll dive into the real stuff — your future responsibilities, the challenges ahead, and the kind of work you’d actually be doing (no mystery here).
3. The Offer Stage

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Senior Data Analyst to join our team!

Requirements:

* Strong experience with data visualization tools (preferably Tableau) — ability to design clear, insightful, and visually appealing dashboards;
* Excellent knowledge of SQL — writing complex queries, optimizing performance, and working with large datasets;
* Understanding of ETL processes and data modeling principles;
* Curiosity and proactive attitude — you love digging into data, finding patterns, and suggesting improvements.

Responsibilities:

* Build and maintain Tableau dashboards for key product and business metrics (user engagement, retention, conversion, revenue, etc.);
* Write and optimize SQL queries to extract, transform, and structure data from multiple sources;
* Conduct deep-dive product analyses to uncover trends, user behaviors, and growth opportunities;
* Continuously improve data quality, performance of dashboards, and analytical infrastructure.

Our benefits to you:
- Modern corporate equipment based on macOS or Windows and additional equipment are provided
- Paid vacations, sick leave, personal events days, days off
- Referral program — enjoy cooperation with your colleagues and get the bonus
- Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
- Rewards program for mentoring and coaching colleagues
- Free internal English courses
- In-house Travel Service
- Multiple internal activities
- Other benefits could be added based on your location

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Growth Data Analyst to join our team!

Responsibilities:

• A/B test post-analysis (including statistical review and deep dive);
• Researching for insights, opportunities and growth points aligned with department KPIs;
• Micro-segmentation, offer personalization;
• Customer behavior and product usage analytics (including product, website and mobile app data);
• KPI monitoring and alerting, finding 'why?';
• Developing and maintaining BI dashboards;
• Adhoc analytical requests (segmentation, data export, metric snapshots);
• Brainstorming and collaboration with different business streams;
• Automate recurring analysis tasks to reduce manual overhead.

Requirements:

• At least 2 years of experience in product/ data analytics.
• Strong proficiency in SQL (including advanced queries and window functions).
• Hands-on experience with BI tools (e.g., Tableau, Power BI).
• Expertise in A/B testing: setup, monitoring experiments, and result analysis.
• Understanding of relational database architecture (ClickHouse, PostgreSQL, BigQuery, etc.).
• In-depth knowledge of statistics and hypothesis testing methods.
• Skills in hypothesis validation and data-driven analysis.

Will be plus

• Experience with Data Science tools for automating A/B test analysis is a plus.
• Experience in iGaming or B2C related industry (preferably whale-driven).

Our benefits to you:
- Modern corporate equipment based on macOS or Windows and additional equipment are provided
- Paid vacations, sick leave, personal events days, days off
- Referral program — enjoy cooperation with your colleagues and get the bonus
- Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
- Rewards program for mentoring and coaching colleagues
- Free internal English courses
- In-house Travel Service
- Multiple internal activities
- Other benefits could be added based on your location

We’re focusing on:

• Complex document processing pipelines
• Knowledge retrieval systems powered by LLMs and RAG
• Building production-ready GenAI solutions with real business value

I’m open to candidates of different experience levels — what matters most is strong problem-solving skills, curiosity, and hands-on experience.

You should have:

• Solid understanding of machine learning and NLP algorithms
• Practical knowledge of how LLMs and Retrieval-Augmented Generation (RAG) work

• Previous experience with real-life AI/ML projects (commercial) - at least 1 year

   

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

As a global leader in IT services, PwC is supported by PwC Poland’s Data, Digital Solutions & AI team. We provide first-class services in all areas of Data Platforms, Data Analytics, Data Strategy and Data Management, just to name a few of our core capabilities. We support clients in the transition to and their adoption of modern data infrastructure, creation of new business models and streamlining their operational activities. 

Your future role:

• Building data platforms with critical components including data lakehouses, data warehouses and data lakes using tools like MS Fabric, Azure Databricks and Azure Data Factory for extraction, loading and transformation;
• Defining the flow of data through data platform from raw ingestion to business-ready consumption using most suitable data architecture patterns (e.g. medallion, lambda);
  Designing the migration plans for moving transactional and master data from legacy systems of record to systems of reference (new solutions);
• Conducting comprehensive data assessments alongside Data Modelers and Analysts across multiple systems of record and data domains to identify and remediate data quality issues;
• Liaising with client senior stakeholders and supporting Senior Data Architects to gather functional requirements to design modern data architecture;
• Supporting  Data Governance subject matter experts to define data standards and policies and specifically around Master Data Management and Data Quality;
• Some familiarizations with Data Science and Data Analytics use cases within the context of Consumer Goods, Retail, Manufacturing and/or Financial Service sectors will stand out.

Apply if you have:

• Minimum of 3 years in data engineering roles, although this can be considered alongside other relevant experience e.g., Business Intelligence, Data Science etc.;
• Hands‑on experience with data transformation platforms, with a strong preference for Azure‑based solutions such as Microsoft Fabric and Databricks; experience with other platforms (e.g. Snowflake, Azure Synapse, Google BigQuery) is also valued;
• Experience in building data warehouses, data lakes and data lakehouses using tools like Azure Data Factory and Azure Synapse Analytics;
• Familiarity with writing data transformation scripts using Python i.e. PySpark and SQL to query databases;
• Some experience in Data Engineering CI/CD practices and release management across Dev, QA and Production environments using tools like Azure DevOps, and/or Jira;
• Proficiency in Business English at B2 level or above, with confidence to write technical documentation e.g., designing documents with support from Project Manager;

• Experience with new technologies and AI‑based tools demonstrated in your daily work (e.g., task automation, information analysis, content creation).

   

Nice to have:

• Cloud certifications in Azure, AWS, or Google Cloud;
• Data Governance certifications e.g., DAMA;
• Evidence of training using online platforms e.g. Coursera, Udemy, Datacamp etc.;
• Application of data modelling frameworks including Kimball dimensional modelling to design and build logical and physical data models;
• Interest and some experience of experimenting with the application of Agentic AI to automate the extraction, transformation and loading of data using services like Azure Foundry;
• Proven experience in conducting data assessments across multiple data domains, including Product, and Customer and systems of record e.g. ERPs and CRMs;
• Experience of working on Data Strategy and Governance projects with a focus on improving Data Quality across key business functions;
• Familiarity with agile project management methodologies like Scrum to enable and scale minimal viable products;
• Some exposure to Data Science and Data Analytics use cases, particularly in the applications of Machine Learning and Generative AI techniques to help improve business forecasting, and demand planning;
• Experience in supporting senior stakeholders including Chief Data Officers in medium to large sized businesses across sectors such as Manufacturing, Consumer Goods, and/or Financial Services.
  
  Policy statements:
  https://www.pwc.com/ua/uk/about/privacy.html

 Business Analyst  for the international product IT company,  which provides a full-stack package of complex AdTech solutions for digital advertisers, publishers and ad agencies worldwide. 

  The company develops white-label platforms for enterprise clients—custom turnkey solutions to automate and optimize digital advertising.

Products company : SSP, DSP, Ad Exchange platforms.

Main markets - Tier 1-2 

The  team :  PM, Delivery Manager, Account Manager, Backend & Frontend Developers, QA Engineers.

Locations/Offices - Kyiv, Lviv, Odesa, Mykolaiv or remote.

Сonditions: Competitive salary + , Remote (Full-time), career and financial growth, paid vacation and sick leave and other goodies.

Requirements:

• Experience as a Business Analyst  of 2+ years
• Experience in gathering and prioritizing requirements with flexible adaptation to the client’s business context, and preparation of detailed technical specifications for the development team.
• Strong analytical and problem-solving skills with the ability to analyze complex data sets, extract insights, and make data-driven recommendations.
• Experience in creating and maintaining tech/feature/product documentation
• Proactive attitude towards learning and staying updated on industry trends, emerging technologies, and best practices in business analytics and ad tech
• English: Upper-Intermediate and above, both verbal and written
• Experience with Jira, Confluence

Responsibilities:

• Collaborate with clients to gather and prioritize new features and enhancement requirements.
• Translate business needs into clear and actionable product requirements.
• Create and describe features from scratch and work with existing feature improvements/change requests.
•  Assist in developing product roadmaps and strategic plans based on market research, customer feedback, and business objectives.
• Participate in customized features upsell to customers based on their product needs.
• Develop comprehensive documentation, including product specifications, user guides, and technical documentation.
• Conduct in-depth product research on industry trends, competitor analysis, and emerging technologies within the ad tech domain. Share the vision.

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of Cybersecurity. Our client’s platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

Requirements:
• 3+ years of hands-on experience in data engineering;
• 3+ years of commercial experience with Python;
• Advanced experience with SQL DBs (optimisations, monitoring, etc.);
• Advanced experience with PySpark;
• Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
• Familiar with AWS infrastructure (boto3, S3 buckets, etc);
• Experience working with large volumes of data;
• Understanding the principles of medallion architecture.

Responsibilities:
• Maintain data processing architecture using Python and PySpark that interacts with ScyllaDB & PostgreSQL.
• Work with Databricks infrastructure to ensure reliability, scalability, and cost efficiency.
• Proactively identify bottlenecks and suggest technical improvements.

Nice to have:

• Cassandra/Scylla

• PostgreSQL

• Pandas

• Experience with Kafka and Redis

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Dataforest is looking for a Data Scientist to join an interesting software development project in the field of Cybersecurity. Our client's platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

    Required Qualifications

• 2+ years of experience working with large-scale, complex datasets.
• Experience with imbalanced data.
• High proficiency in Python for data analysis, feature engineering and modeling.
• Expertise in exploratory data analysis and preparing clean, structured datasets for model development.
• Hands-on experience with AI/ML techniques:
• Supervised (eg. gradient boosting, decision trees, etc.)
• Unsupervised (eg. anomaly detection, clustering, etc.)
• Familiarity with basic statistical concepts and model evaluation metrics (eg. precision, recall, ROC-AUC).
• Upper-intermediate (B2) or higher level of English.
  
  Nice to Have
• Hands-on experience in the fraud/risk domain.
• Experience with Databricks (including Pyspark) for data processing, experimentation, and model development.
• Experience in MLflow library for experiment tracking and model lifecycle management.
• Experience working with diverse data sources (e.g., behavioral, device, or transactional data) and deriving meaningful features.
• Experience assessing data quality and validating new data sources in production environments.

     Key Responsibilities

• Analyze large-scale transaction datasets to identify fraud patterns and risk signals.
• Develop and validate ML models for risk scoring and fraud detection/classification.
• Support deployment of models into production environments by collaborating with the development team.
• Monitor model performance, conduct regular evaluations, analyze the results.
• Perform feature engineering to continuously improve model performance.
• Collaborate with the client on R&D efforts, including exploratory data analysis, feature development, and testing new approaches.

     We offer

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities and corporate events.

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown 100% year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Design and deploy intelligent chatbots using Foundry Workflows, Microsoft Agent Framework, OpenAI. Build and operate multi-agent orchestration pipelines with Azure AI Foundry and Model Context Protocol (MCP). Integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards. Stay current with LLM advancements, collaborate across teams, and mentor junior engineers.

Responsibilities:

AI Agent & Chatbot Development

• Design, build, and deploy intelligent conversational agents using Foundry Workflows, Microsoft Agent Framework, OpenAI.
• Develop prompt strategies and manage datasets to support context-aware, multi-turn dialogue and accurate responses.
• Conduct rapid prototyping to validate technical feasibility and demonstrate business value of AI-driven solutions.
• Design agentic loops with task decomposition, state passing between agents, and workflow enforcement for multi-step ticket resolution.

• Implement structured error responses and graceful degradation in agent tool calls, including timeout handling, retry logic, and fallback cascades.

   

Data & Model Engineering

• Build and maintain data ingestion and indexing pipelines for Azure AI Search and Cosmos DB.

• Evaluate and optimize AI system performance for accuracy, scalability, latency, and cost-efficiency.

   

System Integration & Architecture

• Architect and implement integration between AI and enterprise systems (e.g., ConnectWise PSA, Confluence, etc.) using RESTful APIs.
• Implement and maintain MCP servers (Model Context Protocol) for secure, typed tool integration between AI agents and enterprise APIs.
• Deploy containerized services to Azure using multi-stage builds and Azure Pipelines CI/CD.
• Security, Compliance & Governance
• Ensure AI systems comply with data privacy regulations (e.g., GDPR) and enterprise-grade security standards.

• Implement access controls, data encryption, and audit logging for sensitive AI workflows.

   

Research & Innovation

• Stay current with evolving LLM technologies, frameworks and methodologies.

• Evaluate emerging tools and techniques to continuously improve solution quality and delivery speed.

   

Collaboration & Leadership

• Work closely with cross-functional teams to interpret business requirements and recommend LLM-driven solutions.
• Contribute to technical and architectural decisions, ensuring alignment with strategic goals.

• Mentor junior engineers and support knowledge sharing across the team.

   

Operational Excellence

• Take ownership of incident resolution, and bug fixes.
• Create and maintain technical documentation for AI systems, models, and integration workflows.

Requirements:

• English level — B2 or higher
• 5+ years of experience in AI engineering and .NET software development (.NET 10, ASP.NET Core/WebAPI, C#) with frontend experience in React 19 / Next.js 15 / TypeScript, with a focus on Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Strong expertise in embeddings, search, and prompt engineering.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini).
• Hands-on experience with Azure AI services (Azure AI Foundry, Azure OpenAI, Azure AI Search) and hands-on experience with MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with multi-agent orchestration patterns: coordinator-subagent workflows, maker-checker validation, signal-based confidence scoring, and context preservation across multi-turn interactions.
• Experience designing prompts with explicit evaluation criteria, few-shot techniques, structured output via JSON schemas, and validation/retry loops for reliable LLM responses.
• Awareness of AI-specific security concerns: PII handling, data boundary enforcement, prompt injection prevention, and compliance considerations (e.g., GDPR).

• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

   

Desirable Qualities:

• Understanding of AI solution architecture patterns: LLM gateway/service layer, retrieval layer, orchestration/agent layer, and evaluation/observability layer.
• Experience testing AI-enabled components using deterministic seams (mocked LLM clients, retrievers, tools), scenario-based tests, and regression/evaluation datasets for non-deterministic outputs.
• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
• Familiarity with AI/ML versioning practices: prompt version control with semantic tagging, evaluation baseline tracking, dataset versioning, experiment reproducibility.
• Familiarity with deploying, monitoring, and maintaining ML models in production environments.
• Experience with Azure Cosmos DB, Azure Container Apps, Docker containerization
• Familiarity with CI/CD pipelines and DevOps practices.
• AI-102
• Experience with Application Insights telemetry, distributed tracing.
• Prior experience integrating AI agents with enterprise platforms like ConnectWise PSA, Confluence, SPO, etc.

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Avanquest is the software publishing subsidiary of Claranova, a French group of innovative technological solutions, established in many countries, with revenues exceeding $500 million. At Avanquest, we create reliable and intuitive software solutions that satisfy our customers through 3 key product types: PDF software, photo editing software (Inpixio), and utility software to improve PC performance and security. Mainly offered as Software as a Service (SaaS), our products are sold in more than 150 countries and are translated into more than 15 languages worldwide.

Avanquest is:

• a multicultural collaborative group;
• an ambitious company in rapid development;
• a place where each Talent has its place to contribute its know-how and have a real impact on large-scale projects;
• an environment where productive initiatives are always recognized at their true value.

Visit our website : www.avanquestgroup.com

Job details :

We’re building AI deeply into our product stack — from open-source model serving to the interfaces our users interact with every day. As an AI Integration Engineer, you’ll own three interconnected layers: a model-serving REST API, AI-powered web app features, and the orchestration backbone of our document processing platform. This is a high-ownership, full-stack role for an engineer who wants to ship real AI systems, not just call third-party APIs.

(Only for candidates who are currently in Poland)

Model Serving & REST API

Deploy open-source LLMs and expose them through a versioned, production-grade API.

Web App Integration

Embed AI capabilities into our web interfaces — streaming UX, real-time features, and AI-powered components.

Document Processing Orchestration

Build the processing pipelines that extract, classify, transform, and act on documents at scale.

Key Responsibilities :

Model Serving & API

• Evaluate and deploy open-source LLMs via vLLM, Ollama, or TGI on GPU infrastructure;
• Design and maintain a REST API with auth, rate limiting, versioning, and API documentation;
• Optimize inference: quantization, batching, and concurrency tuning for latency/cost trade-offs;
• Own observability — latency, throughput, GPU utilization, and cost-per-call dashboards.

Web App Integration

• Integrate AI features into our web apps and document processing platforms;
• Build AI-powered UI components: chat interfaces, inline suggestions, smart search, and summarization widgets;
• Collaborate with frontend engineers on UX patterns specific to async and streaming AI responses;
• Manage API keys, usage metering, and per-user AI feature flags on the client layer.

Document Orchestration

• Design multi-step orchestration pipelines for document ingestion, parsing, classification, and extraction;
• Integrate OCR, layout detection, and chunking strategies for PDFs, Word docs, spreadsheets, and scanned images;
• Build RAG pipelines with hybrid retrieval (dense + sparse) over document corpora;
• Design and optimize prompts for extraction, summarization, classification, and conversational AI workflows;
• Implement task queues and async workers to handle high-volume document processing reliably.

Platform & Collaboration

• Define evals and quality benchmarks for extraction accuracy, classification, and generation quality;
• Write technical docs, so the platform is maintainable by the whole team and accessible for technology partners;
• Partner with product, data science, and DevOps/MLOps to ship AI features reliably and at scale;
• Stay current on the open-source model ecosystem and advise on model selection and upgrades.

Requirements:

• 3+ years of software engineering experience spanning backend, API design, and web technologies;
• Proven experience deploying or integrating LLMs in production — open-source model experience strongly preferred;
• Hands-on knowledge of REST API design principles and at least one API framework;
• Experience building or integrating AI features in a web app, including streaming/async response handling;
• Familiarity with document processing workflows — parsing, OCR, extraction, or classification at scale;
• Comfort designing multi-step orchestration pipelines with task queues, retries, and failure handling;
• Strong communication skills; able to reason about trade-offs across latency, cost, and accuracy with stakeholders.

What we offer:

• A fair compensation for your value;
• Bonus program, paid vacation leave and competitive corporate benefits;
• We are committed to maximizing your potential and ensuring your professional development.
• Interaction with local and international teams;
• A friendly and collaborative work environment, where authenticity and well-being are a priority.

About The Role

We are looking for a Senior Product Analyst to join our growing analytics team (30+ professionals).In this role, you will drive tangible business impact by delivering high-quality insights and recommendations, leveraging your ability to combine strategic thinking and problem-solving with detailed analysis. You will collaborate closely with Product Managers and cross-functional teams, uncovering business insights, devising optimization strategies, and validating them through experiments.

What You’ll Do

• Conduct deep-dive analyses and deliver actionable insights to improve product performance.
• Analyze large-scale datasets (funnel events, transactional, and text data) to identify growth opportunities.
• Design and interpret A/B tests, MAB experiments, and hypothesis-driven analyses.
• Track and implement key business metrics to support decision-making.
• Work with cutting-edge tools, including Bayesian statistics, ML models, and LLMs.

• Collaborate with a large and highly skilled Analytics team, fostering a knowledge-sharing environment.

   

What We’re Looking For

• 5+ years of experience in product analytics
• Proficiency in SQL, with the ability to write complex queries to extract insights and support decision-making.
• Strong visualization skills in PowerBI (preferred), Tableau, Looker, or similar BI tools
• Expertise in Descriptive and Inferential Statistical Analysis, A/B testing, and Hypothesis Testing, with a proven ability to analyze results.
• Familiarity with Google Analytics, BigQuery, Python/R, and ML will be a plus.
• Excellent communication skills, with confidence in interacting across all levels of management and diverse business functions.

• English proficiency (at least strong upper-intermediate level).

   

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free JustAnswer membership

About the Company

NDA (NICK Digital Agency) is a digital boutique agency working with B2B clients, e-commerce brands, and digital startups in the DACH market. We build demand generation and performance systems — not one-off campaigns. The team is lean, fully remote, and operates without bureaucracy: direct communication, no account managers, results over process.

We're in an active growth stage and looking for an analyst to own the data layer in our delivery.

About the Role

This is not a dashboarding or reporting role.

Your job is to identify where revenue is lost, explain why it happens, and quantify the business impact. You'll work directly with the founder, get full access to clients' revenue stack (CRM, ad accounts, financials), and own the analytical deliverables that drive client decisions.

You will cover three core products:

• Revenue Architecture Diagnostic
• AI Visibility Audit
• AI Revenue Operations Audit

What You'll Do

• Intake and process data from GA4, CRM, ad accounts, and email platforms
• Build attribution views and detect tracking gaps
• Calculate CAC, LTV, payback period, and margin from real client data
• Run funnel drop-off analysis and revenue leak detection
• Run citation testing for AI Visibility audits — testing how clients appear across AI-driven search platforms (40–60 queries × 5 platforms per audit)
• Support process mapping for AI RevOps audits
• Write revenue audit reports (30–45 pages) and process audit reports (25–35 pages)
• Build ROI projection models in Excel / Google Sheets

Key Expectations

• Own 3–4 client audits in parallel at different stages of delivery
• Work autonomously — no step-by-step guidance, no micromanagement
• Identify both revenue leaks and growth upside — not just surface numbers
• Translate findings into clear, decision-ready business insights
• Back up every recommendation with revenue logic and ROI modeling
• Write well — analytical writing quality directly affects client output quality

Requirements

Must Have

• 3+ years in a performance, growth, or analytics role — B2B, SaaS, or digital agency context
• GA4 at an advanced level: event-based tracking, conversion paths, attribution models — building setups from scratch, not just reading them
• One BI tool (Looker Studio, Metabase, Tableau, or PowerBI) — building self-sufficient dashboards independently
• Excel / Google Sheets advanced: pivot tables, financial modeling, lookups, conditional logic
• Basic SQL: SELECT, JOINs, GROUP BY
• Strong analytical writing — ability to turn data into business-visible, human-readable insights
• Structured analytical thinking with a business-outcomes orientation
• English B2+

Nice to Have

• HubSpot or Salesforce admin-level access
• CRM attribution tools: Dreamdata, HockeyStack, or similar
• Mixpanel or Amplitude
• Basic Python for data wrangling
• GA4 → BigQuery → Looker integration
• SaaS metrics fluency: MRR, NRR, GRR, churn cohorts
• DACH market experience
• German B1+ (German-speaking candidates are prioritized)

This Role Is NOT a Fit If You

• Treat analytics as dashboards and figures without interpretation behind them
• Cannot explain clearly why a channel or funnel step is underperforming
• Rely on pre-built data infrastructure and cannot build setups from scratch
• Are not comfortable working with messy, fragmented, multi-source client data
• Cannot back up recommendations with revenue modeling
• Are looking for a permanent salaried position from day one — this engagement starts as freelance/contractor

Work Conditions

• Format: Fully remote, async-first communication
• Timezone: Ukraine or CET
• Engagement type: Freelance / contractor — starting at ~20 hrs/week, scaling to full load based on delivery performance
• No probation period: The first project is the screen. Results delivered → engagement continues and grows.
• Growth path: Permanent employment (Festanstellung) option opens at the 6+ month mark

Selection Process

1. CV review
2. Recruiter screening call
3. HM Case Interview with CEO — you'll receive a real business dataset before the call (GA4 export + CRM data + ad spend across 2–3 channels) and walk through your findings live. The case covers funnel leak detection, tracking gap identification, and revenue modeling. This replaces a traditional test task.
4. Referral check
5. Offer call

Who We're Looking For

You've worked with fragmented, multi-source client data. You build the infrastructure when it doesn't exist. You know how to turn analytical findings into a story a CEO or CMO will act on — and you can model the revenue impact behind every recommendation. If you need a fully built data stack and a detailed brief to get started, this role isn't the right fit.

Join UKAD as a Project Manager / Business Analyst and become part of a collaborative international team!

We’re looking for a proactive and self-driven Project Manager / Business Analyst to join an international e-commerce project for a Denmark-based client.

In this role, you’ll coordinate communication between stakeholders and the development team, help drive product decisions, and ensure smooth project delivery. If you enjoy dynamic environments, value ownership, and want to contribute as a strategic partner within the team, we’d love to hear from you.

And a few more points to match:

- 5+ years of relevant experience
- Experience in the field of IT
- Strong analytical and problem-solving skills
- Practical experience of written and oral communication with English-speaking clients
- We are primarily looking for candidates based in Europe due to occasional business trips and client visits
- Competence in estimating, composing project plans and business proposals
- Understanding of IT-specific, development process
- Good communication skills
- Fluent English communication skills
- Energy, activity, responsibility, good mood
- Can work in fast - paced environment while maintaining attention to details.

We also expect you to be a really self-driven person because micromanagement and total control are not about UKAD. Feel free to choose tools and approaches, in which you believe, as well as to be creative and responsible for the results.

Your responsibilities
To take care of our projects, including estimating, creating project plans and business proposals. To establish and maintain quality communications between the Customer and development team.

What We Offer

• Opportunity to work remotely, or in a hybrid format.
• Flexible schedule – start your workday anytime between 08:00 and 11:00, whatever works best for you.
• Work equipment provided (if needed).
• Minimal bureaucracy – focus on work, not paperwork.
• Conferences, meetups – we support your professional growth
• Sane and polite, but effective management
• The best corporate culture (according to our teammates' opinions)
• Competitive salary and other stuff
• Becoming not just another developer, but a part of UKAD with unique value and long-term relationships.

Some facts about UKAD to help you make a decision:
- During 2022-2025, we only increased cooperation with our foreign partners
- UKAD combines the benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities
- Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers
- UKAD is one of the leading employers in Kharkiv, according to DOU
We never hire people for projects, but to build the team, so if the project ends, you remain a part of UKAD.

Aren't we the company you're looking for?

We are looking for a Database Developer / DBA to join our team. You will be responsible for making our data infrastructure reliable and helping it grow. We need someone who has strong technical opinions and knows how to build resilient, high-performance database systems. This role is perfect for someone who prefers working with a focused, high-impact data environment rather than managing a massive amount of data sprawl.

WHAT YOU’LL BE WORKING ON

• Collaborative Infrastructure Design: You will work closely with the DevOps team to suggest and design solutions for our infrastructure. Your role is to provide the architectural vision while working together on implementation.
• High Availability: You will design and maintain replication, failover, and clustering to make sure our systems are always running and fault-tolerant.
• Backups & Disaster Recovery: You will design and test backup strategies to ensure we can restore data quickly with almost no downtime.
• Observability & Monitoring: You will use tools like Prometheus and Grafana to watch our systems, check their health, and set up alerts for any issues.
• Zero-Downtime Maintenance: You will handle routine tasks like patching and vacuuming using blue-green update techniques to avoid service interruptions.
• Automation: You will use Ansible and Terraform to make infrastructure and deployment processes more efficient.
• Architecture & Design: You will lead the planning of our database systems and provide a clear point of view on how to design schemas for better performance.
• Performance Engineering: You will find performance problems and tune queries and indexes based on how the system is being used.
• Development Support: You will work closely with engineering teams to help them optimize queries and plan safe database migrations.
• Security & Access Management: You will manage database security, encryption, and rules for data access.
• Incident Response: You will help find the root cause of database problems and write clear documentation for our systems and recovery steps.

WHAT YOU NEED TO SUCCEED IN THIS ROLE

• PostgreSQL Expertise: You have 4+ years of hands-on experience managing production environments at a terabyte scale, such as a fleet of up to 100 instances.
• Technical Conviction: You have a proven ability to recommend and advocate for the best database setups and high-availability systems.
• Cloud Proficiency: You have experience managing databases in major cloud environments (like AWS, Azure, or GCP) or private/VPS setups. Knowledge in  Amazon Aurora, NoSQL, Columnar DBs, and/or Timeseries is a plus.
• Automation Mindset: You have a strong background in scripting and automation to manage production environments efficiently.
• AI: having the skill to use AI tools to assist with coding or monitoring is a great advantage.