Jobs Data & Analytics

About the job

This role turns commercial and market data into decisions at a fast-growing IoT connectivity company.

As Commercial Excellence Specialist, you will own the analysis behind Onomondo's commercial choices: who we target, where our addressable market is, and how our segments perform. Your work helps Onomondo continuously refine its GTM segmentation.

You will report to Petar Samardzija and join the Commercial Excellence team. You will work alongside an analytics engineer who is building the infrastructure behind our live reporting.

The role has two halves.

Recurring commercial reporting

• Monitor commercial funnel performance across segments, geographies and verticals.
• Catch trends timely and advice on over performing and under performing segment.
• You are responsible for a variety of reporting on commercial performance.

Market and segment insights

• Define and maintain our lead prioritisation mechanisms.
• Maintain and improve TAM/SAM/SOM models by vertical and country.
• Analyse performance across segments, and show where we are over- or under-represented against the market.
• Own the internal market definitions and tracking so the whole commercial organisation uses one version of the truth.
• Turn the analysis into clear recommendations for GTM teams.
• Monitor markets for regulatory changes, growth of the new use cases etc.

This is you

• Professional proficiency in English.
• [2–4] years in commercial analytics, RevOps or a similar analytical role.
• Strong CRM analytics: you know the data model, and you know where its numbers can mislead.
• Hands-on experience with structured market sizing, bottom-up and top-down, with assumptions you can defend.
• Proficient in Excel and PowerPoint, and comfortable using LLM tools in your day-to-day analysis.
• You enjoy both building a clean recurring report and working through an open-ended market question.
• Experience in B2B SaaS, telecom, IoT or other recurring-revenue businesses is an advantage.

As a person, you are sceptical of data in a healthy way, structured, and commercially curious. You communicate clearly to non-analysts, and you care about getting the number right more than getting it out fast.

What we offer

• Adherecnce to Ukrainian holidays
• 25 vacation days
• Sick leave without doctor’s note
• 100% remote work
• Flexibility of hours worked

What you can expect

Our process is short and fully online:

1. Pre-screening call (15 min) with Masha [Team Lead Ukraine]. A quick introduction to the role and to you.
2. Screening call (20 min) with Petar and Andrii[Analytics engineer]. A closer look at your background, motivation and how you work with data.
3. Skills & competencies interview (45 min) with Petar and Andrea[Director of Strategy and GTM]. A hands-on conversation around a commercial analytics case covering HubSpot data, segmentation and market sizing.

We aim to give you feedback within 5 working days after each step.

About Onomondo

You know that rental bike you unlocked with your phone this morning? Or the tracker on your dog's collar that tells you he's two streets away, again? Neither of those works without a network connection. Onomondo is the layer that makes sure the data actually gets through.

We're the infrastructure behind the Internet of Things (IoT). Companies building connected products come to us for the connectivity that keeps their devices online, anywhere in the world, and for the platform where they manage, monitor, and troubleshoot it themselves.

If this sounds like you, apply with your CV and a short motivation at the top. We review applications on an ongoing basis.

We are seeking an experienced Data Scientist to take ownership of customer risk-scoring models and exploratory risk analysis. In this role, you will analyze complex behavioral data, conduct deep-dive investigations, and construct statistical models to protect both the business and its users.

Responsibilities

• Design, evaluate, and iteratively refine predictive models targeting AML and Safer Gambling risk indicators.
• Conduct exploratory data analysis and targeted investigations to identify behavioral anomalies and emerging risk patterns.
• Partner with compliance and operational risk teams to translate risk domain insights into practical model features.
• Clearly communicate analytical methodologies, model evaluation results, and strategic insights to non-technical stakeholders.

Requirements

• 5+ years of professional experience in a Data Scientist role.
• Strong technical proficiency in Python and SQL for complex data extraction, feature engineering, and statistical modeling.
• Practical expertise in building and evaluating standard statistical and machine learning models (e.g., XGBoost, Linear/Logistic Regression).
• Strong analytical problem-solving skills with a background in model evaluation metrics and data-driven investigations.
• Effective verbal and written communication skills with the ability to articulate complex analytical concepts clearly.

Nice to have

• Prior experience in online gaming.
• Domain familiarity with Anti-Money Laundering (AML) regulations or Responsible/Safer Gambling frameworks.
• Basic conceptual understanding of model deployment pipelines (hands-on engineering deployment expertise is not required).

We are a fast-growing, ambitious iGaming startup operating in Tier-1 markets. We are launching a new product and looking for a strong Lead Data Analyst  who will design and build our data infrastructure from scratch, set up end-to-end reporting, and drive product growth through actionable insights.

If you know how to architect a modern data stack for a new product, build intuitive BI dashboards, and turn raw data into strategic business decisions - this role is for you.

🔹 Key Responsibilities:

• Architect and design the data pipeline model, data warehouse structure, and tracking framework for our new product in close collaboration with the Data Engineer.
• Create actionable, clear BI dashboards (reporting, cohort analysis, funnel visualization, LTV/CAC modeling) for key stakeholders.
• Define, track, and analyze core iGaming metrics (retention, monetization, user journeys) to uncover growth opportunities.
• Establish single-source-of-truth standards, ensuring data accuracy, consistency, and accessibility across the company.

• Work closely with C-level leadership to translate analytical findings into clear business strategies and product improvements.

   

🔹 Requirements:

• Hands-on experience designing and setting up data architecture/infrastructure from scratch for a new product or platform.
• Strong experience building scalable BI dashboards and reports that non-technical teams can easily use.
• Deep understanding of product and business metrics in iGaming/Gaming (LTV, CAC, Churn, Retention, Player Value, NGR/GGR).
• Advanced SQL, conceptual understanding of DWH, ETL/ELT workflows, and modern BI tools (Looker, Tableau, Power BI, etc.).
• 4+ years in Data/Product Analytics with experience or readiness to lead the analytics function.

• English - B1 or higher. Proficiency in Ukrainian is a strong asset.

   

🔹 What We Offer:

• Complete freedom to build the entire analytics function and data stack from scratch for a high-potential product.
• 100% remote work with a flexible schedule.
• A high-performance, results-oriented culture with direct access to founders and zero bureaucracy.

Project Description

A B2B marketing analytics platform for LinkedIn advertisers wants to know whether the early signals of an ad campaign can predict its outcome months ahead. Small B2B advertisers close only a handful of deals per year, so standard attribution has too little data to work with. The proof of concept tests a different approach on the platform's historical data across many advertisers. Engagement and website signals from the first 7-21 days of a campaign are combined into a surrogate index that predicts later pipeline outcomes and states how confident the prediction is.

The PoC is time-boxed to 5-6 weeks and ends with a Go or No-Go decision backed by numbers.

Client Description
A B2B marketing analytics platform for LinkedIn

• A B2B marketing analytics platform for LinkedIn advertisers wants to know whether the early signals of an ad campaign can predict its outcome months ahead. Small B2B advertisers close only a handful of deals per year, so standard attribution has too little data to work with. The proof of concept tests a different approach on the platform's historical data across many advertisers. Engagement and website signals from the first 7-21 days of a campaign are combined into a surrogate index that predicts later pipeline outcomes and states how confident the prediction is.
   

Requirements:

• 5+ years of applied data science or statistics at a senior level.
• Strong command of regression modeling, including regularized and hierarchical (multilevel) models.
• Proven experience with small or sparse datasets and with probability calibration.
• Rigorous validation practice: temporal splits, leakage prevention, overfitting control.
• Python (pandas, scikit-learn, statsmodels) and SQL.
• Ability to explain uncertainty to non-technical stakeholders.
• English - upper-intermediate.

Nice to have

• Bayesian tooling such as PyMC, Stan or bambi.
• Familiarity with surrogate index and proxy metric methods, such as the work of Athey, Chetty, Imbens and Kang.
• B2B marketing analytics: attribution, account-based marketing, LinkedIn Ads, CRM pipeline data.
• Holdout design, controlled experiments and sequential testing.
  Statistical process control.
• Part-time, 0.5-0.8 FTE, about 20-32 hours per week.
  5-6 weeks, starting in October 2026, exact date to be confirmed.
• Possible continuation into productization if the PoC succeeds.

Responsibilities:

• Define, together with the client and a business analyst, what counts as campaign success, the outcome window and the cut-off between signals and outcome.
• Design the analytical dataset: candidate signals, outcome labels, exclusion rules and safeguards against future information leaking into the signals. A Python data engineer builds the dataset in ClickHouse to this design.
• Build the surrogate index as a regularized or hierarchical model, with signal weights shared across advertisers and adjusted per advertiser in proportion to its own data volume.
• Validate the model on campaigns it has not seen: temporal backtesting and leave-one-advertiser-out evaluation, with AUC, Brier score and calibration curves.
• Compare the model against the current practice of judging campaigns by CTR and CPC, and measure how prediction quality changes between day 14 and 21.
• Run error analysis, source ablation and learning curves to show which data is missing for a reliable forecast.
• Present weights, patterns and uncertainty to the team and reccomend Go or No-Go for the future phase.
   

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

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

Requirements:

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

Responsibilities:

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

It will be a plus:

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

Working conditions:

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

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

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

Responsibilities

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

Requirements

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

Will be a plus

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

We offer

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

Requirements
 

🔹0,5+ years of commercial experience as a Business Analyst 

🔹Strong understanding of Agile software development methodologies

🔹Practical experience with key business analysis techniques and requirement management tools

🔹Proficiency in identifying and translating business needs into clearly defined requirements

🔹Experience in drafting functional / business / system requirement specifications

🔹Experience in working with stakeholders and requirements elicitation

🔹Excellent interpersonal and communication skills

🔹Upper-intermediate level of English (both written and spoken)
 

Will be a plus
 

🔹Knowledge of business process modelling (BPMN, UML)

🔹Experience in Business Intelligence systems and data analysis

🔹Ability to create UI wireframes supplementing project specifications

🔹Knowledge of the basics of project and product management

🔹Experience with the major task tracking systems (Trello, Jira, ClickUp, Asana)

🔹Technical background (QA, software development, or data engineering)

🔹Experience in using relational or NoSQL DBMS
 

We offer
 

🔹Personalized professional development plan to the Middle and Senior levels

🔹Your own career path to perfect your skills in the areas of BA / BI / PdM / PM

🔹Individual mentoring, continuous knowledge sharing, and BA team workshops

🔹Opportunity to work with the high-skilled engineering team on challenging projects

🔹Open environment that facilitates professional freedom and growth
 

Benefits
 

We offer a number of benefits for the team members to improve their quality of life and help with achieving professional development goals:
 

Professional
 

🔹Compensation of professional certifications, courses, IT conferences, and events

🔹Individual and group English classes with native-speaking teachers from US & UK
 

Quality of life
 

🔹Our processes are tailored to enable remote work and flexible work schedule

🔹You can choose from a selection of hardware either it is Apple, or PC devices
🔹There are other small things, like gym or massages

🔹There are also frequent team retreats, leisure activities, and holiday celebrations

🔹Gifts on personal and professional anniversaries
🔹21 paid days off and 11 national holidays throughout the year to travel and rest

🔹Health program of SysGears

🔹You are a part of a team, we help each other when life knocks one of us down 🤠
 

Responsibilities
 

🔹Collaborating with developers, designers, QAs to deliver projects efficiently

🔹Contributing to expert in-house and international teams (from US, UK, and EU)

🔹Communicating with stakeholders to identify their needs and clarify requirements

🔹Analysing, validating, grooming and documenting requirements to the web & mobile projects

🔹Visualizing business processes and preparing data models for the software projects

🔹Advising stakeholders on the common practices and possible product solutions

🔹Performing competitor and market analysis, assisting in developing product ideas

🔹Communicating project vision and coordinating development with engineering teams

🔹Managing the development workflow applying Agile methodologies

Follow your passion, create exciting products inspired by industry experts, and work on complex business  solutions until they reach global market recognition. Our aim is to always be the best, grow, improve, and innovate. And we would welcome a like-minded person to become an invaluable part of our team!

Follow our social media — Instagram, Facebook, Linkedin, YouTube
Visit our website and learn about the company’s portfolio and technologies 💻

Required Skills

🔹Knowledge of the Business Analysis basics

🔹Strong critical thinking skills

🔹Superb communication skills

🔹Good organizational and leadership instincts

🔹Upper-intermediate English level (speaking and writing)

Personal qualities

🔹You are detailed-oriented and passionate about the quality of your results

🔹You are constantly learning new trends in IT business analysis and management

🔹You have high empathy and deep understanding of the needs of the people around you

🔹You are easygoing and professional: punctual, balanced, with good self-management abilities

Skills that will be an advantage

🔹Technical Background (QA, design, development, etc.)

🔹Management experience not related to IT

We offer

On the Internship (duration: up to 2-3 months - depends on your performance)

🔹Individual training conducted by a lead Business Analyst

🔹Course that covers all the bases and targets real-life scenarios

🔹Practical tasks with gradually increasing complexity on several projects

🔹Guided participation in a BA service interacting with clients and engineers

🔹Experience exchange practice to learn from other BA specialists
🔹Scholarship per every month of internship 

After the Internship

🔹The position of Junior Business Analyst in the company
🔹Personalized professional development plan to the Middle and Senior levels

🔹Continuous professional training focused at enhancing BA / BI / PdM / PM skills

🔹Further individual mentoring, continuous knowledge sharing, and BA workshops

🔹A variety of challenging projects and the highly-skilled engineering team

🔹Open environment that facilitates professional freedom and growth

Benefits

We offer a number of benefits for the team members to improve their quality of life and help with achieving professional development goals

Professional

🔹Compensation of professional certifications, courses, IT conferences, and events

🔹Individual and group English classes with native-speaking teachers from US & UK

Quality of life

🔹Our processes are tailored to enable remote work and flexible work schedule

🔹You can choose from a selection of hardware either it is Apple, or PC devices

🔹There are also frequent team retreats, leisure activities, and holiday celebrations

🔹Gifts on personal and professional anniversaries
🔹21 paid days off and 11 national holidays throughout the year to travel and rest
🔹Health program of SysGears

🔹You are a part of a team, we help each other when life knocks one of us down 🤠

Responsibilities

🔹Collaborating with developers, designers, QAs to deliver projects efficiently

🔹Contributing to expert in-house and international teams (from US, UK, and EU)

🔹Communicating with stakeholders to identify their needs and clarify requirements

🔹Analyzing, validating, grooming and documenting requirements to the web & mobile projects

🔹Visualizing business processes and preparing data models for the software projects

🔹Advising stakeholders on the common practices and possible product solutions

🔹Performing competitor and market analysis, assisting in developing product ideas

🔹Communicating project vision and coordinating development with engineering teams

🔹Managing the development workflow applying Agile methodologies

Our aim is to always be the best, grow, improve, and innovate. And we would welcome a like-minded person to become an invaluable part of our team! 

Follow our social media — Instagram, Facebook, Linkedin, YouTube
Visit our website and learn about the company’s portfolio and technologies 💻

As we continue to grow and evolve, we are expanding our team to support new initiatives and meet the increasing demand for our services. We’re currently looking for a talented and data-driven Web Analyst who can help us make smarter decisions and take our digital performance to the next level.

What We’re Looking For:

• strong hands-on experience with Google Tag Manager (GTM) and Google Analytics
• proven ability to set up, monitor, and interpret A/B tests using third-party platforms
• experience with app analytics tools like Firebase and Appsflyer
• working knowledge of BigQuery (BQ) and comfort working with large data sets
• a proactive attitude and a knack for solving problems before they impact performance

What You’ll Be Doing:

• setting up and maintaining web analytics tools, including Google Tag Manager and Google Analytics;
• planning, executing, and analyzing A/B and multivariate tests using third-party tools;
• supporting existing scripts and analytics setups, troubleshooting issues, and identifying bugs;
• creating custom dashboards and reports using BigQuery and other tools to help stakeholders make informed decisions;
• working with mobile application analytics platforms such as Firebase and Appsflyer.

What We Offer:

• paid vacations and sick leave;
• remote work — flexibility to work from wherever you’re most productive;
• challenging projects — opportunity to work on exciting and high-impact initiatives;
• employee discounts — enjoy special offers and discounts on our floral and gift products.

We’re looking for a Senior Data Integration Engineer with strong experience in financial services, banking, or fintech to own and scale client data integrations across our platform.

The ideal candidate combines deep software engineering expertise with hands-on experience integrating complex financial systems, including core banking/processing platforms, digital banking solutions, loan origination systems, and CRM platforms.

JetSoftPro is looking for an experienced Senior Data Integration Engineer to join a project for a US-based fintech company working with credit unions and financial institutions.
Position Requirements:

• 8+ years of software engineering experience, including integration work in financial services, banking, or fintech environments 
• Strong command of modern integration technologies: REST APIs, authentication protocols, and data extraction
• Expert-level SQL, understanding of data warehousing
• Azure Fabric Data Warehouse is a plus
• Experience working directly with clients or external technical stakeholders 
• Strong proficiency with AI tools, understanding AI-native software development process
• Bachelor's degree 

• Responsibilities:
  Own the full lifecycle of client data integrations, from discovery and scoping through implementation, automation, and ongoing operation 
• Design and build integrations with credit union technology systems, including core processing, digital banking, loan origination, and CRM platforms
• Partner with client technical teams and third-party vendors to establish access, define data contracts, and establish new connections 
• Own integration reliability, including monitoring, alerting, and issue resolution 
• Handle sensitive financial data in line with security and compliance standards, including encryption, access controls, and auditability 
• Maintain documentation and repeatable patterns so each new integration builds on the last 
• Evaluate build, buy, and partner options for each integration and recommend an approach 
• Contribute improvements to the broader agentic platform beyond integration-specific work, including serving as a key stakeholder on source-system data, contributing to field definitions, mappings, and domain context
• Actively contribute to the development and maintenance company-wide data warehouse
   

We are looking for a Senior Data Scientist / Python Developer to join an R&D-oriented team working on intelligent solutions for telecommunications and network monitoring.

This is a hybrid role combining strong Python development, Data Science, Machine Learning/AI, statistics, and algorithm design. You will work on solutions for real-time detection and analysis of network and service issues.

What you’ll do:

Develop production-ready solutions using Python

Design and implement ML/AI algorithms for real-time detection of network and service issues

Apply statistics, data analysis, and algorithmic approaches to complex technical problems

Work with Machine Learning and AI technologies, including LLMs

Develop and optimize data-driven detection and monitoring solutions

Contribute to the design of algorithms and data processing approaches

Work closely with an experienced R&D-oriented engineering team

Follow software engineering best practices, including CI/CD, testing, and version control

Work in a Linux environment and contribute to agile development processes

Requirements:

3–5+ years of professional software development experience

Strong Python development skills

Solid background in Data Science / Machine Learning / AI

Experience with statistics and algorithm design

Practical experience with ML/AI, including LLMs

Experience with real-time data processing, detection, monitoring, or anomaly detection is highly relevant

Experience with CI/CD

Good knowledge of Linux

Strong analytical and problem-solving skills

Fluent English — you will work in an international R&D environment

Education

A Master’s degree in one of the following fields is expected:

Computer Science

Physics

Mathematics

Communications Engineering

A PhD is a strong plus, especially for candidates with an R&D or research-oriented background.

Nice to have:

Experience in telecommunications

Knowledge of telecommunications networks

Experience with network monitoring, anomaly detection, or service reliability

Research or R&D experience

Experience working with highly technical engineering teams

What We Offer:

-Paid vacation and sick leave

-We provide the equipment you need to work comfortably (if required)

-We cover 50% of courses if you want to grow professionally

-Regular salary reviews based on your performance

-Competitive salary, depending on your experience

-Always on-time payments — no delays

-A normal, supportive team without unnecessary bureaucracy

We’re looking for a mid-level Business Analyst to help design custom business systems and automate processes, using AI coding agents to prototype and build solutions
 

Responsibilities

• Analyze business processes and identify opportunities for improvement and automation
• Gather requirements and translate them into workflows, concepts and tasks
• Build solutions using AI coding agents
• Work with clients, stakeholders and developers to deliver solutions that meet business needs
   

Requirements

• Experience in business analysis and solution design
• 6+ months of hands-on agentic coding experience with tools such as Claude Code, Codex, or Cursor
• Understanding of APIs, integrations, and the software development lifecycle
• Strong analytical and communication skills
• English B2 or above

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

Requirements

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

Responsibilities

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

What we offer:

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

Project focus:

EKG Access MCP Server.

Must Have:

- Strong Python backend development experience

- Prompt Engineering

- AWS OpenSearch

- Semantic Web technologies: RDF, SPARQL, SHACL, OWL

- Experience with metaphactory or other graph engines

- CDC / event-driven integration

- NER and full-text search

- MCP server implementation

- Experience defining typed tool definitions

- Experience working with YAML / JSON specifications.

Nice to Have:

- Neo4j

- Snowflake

- Snowflake Semantic Model

- OSI-compliant YAML

- End-to-end platform wiring / integration

- Additional MCP experience

- Pharma Commercial experience.

We are looking for a System Analyst to join our engineering team and help design, specify, and evolve distributed systems and integrations.

You will work closely with Product Managers, Solution Architects, Backend Engineers, QA, DevOps, and external integration partners. The role combines business process analysis with hands-on system design: APIs, data models, integrations, events, workflows, and technical specifications.

Responsibilities

• Analyze business requirements and transform them into clear system requirements and technical specifications.
• Design interactions between microservices, external systems, and third-party providers.
• Define REST API contracts, request/response models, validation rules, error handling, and API behaviour.
• Design asynchronous integrations using Kafka and event-driven patterns.
• Create sequence diagrams, activity diagrams, state diagrams, data-flow diagrams, and other technical documentation.
• Define data models and database-level requirements, primarily for PostgreSQL.
• Describe business and system workflows, including alternative flows, error scenarios, retries, and edge cases.
• Participate in solution design together with Solution Architects and engineering teams.
• Maintain and improve OpenAPI specifications and integration documentation.
• Analyze existing systems and identify dependencies, limitations, and required changes.
• Support development and QA teams during implementation and testing.
• Participate in backlog refinement, technical discussions, and estimation.
• Work with external providers and analyze their APIs, specifications, and integration requirements.
• Ensure consistency between business requirements, architecture, API contracts, and implemented behaviour.