Jobs Data & Analytics

The Principal Analytics Developer is a new role that will support the newly created Product Data Domain teams. The role requires strong skills in dimensionally modelling, conforming and integrating data from multiple sources, as well as experience in leading strong analytics engineering teams.
Responsibilities:
 

• Planning workloads and delegating tasks in agile environment
• Assisting with the daily operation of the organisation, including support and incidents
• Able to provide feedback to team members, including constructive areas for development
• Leading on the design, implementation and maintenance of dimensional data models that promote a self-service approach to data consumption. This includes ensuring that data quality within the data warehouse is maintained throughout the data lifecycle.
• Define best practices in dimensional data modelling and database design and ensure standards are adhered to across the team.
• Mentoring, coaching and supporting other team members in developing data modelling skills through knowledge transfer.
• Automating data pipelines using proprietary technology & Airflow.
• Using your expert knowledge of the company products and their features to inform the design and development of data products and upskilling the team through this knowledge.
• Developing ways of working between product data domains and other data teams within product group.
• The creation of processes for data product development, ensuring these processes are documented and advocating their use throughout the organisation.
• Supporting analytics, data science and other colleagues outside the digital product area in managing projects and fielding queries.
• Ability to build and maintain strong working relationships where you might, as a specialist, have to manage the expectations of more senior colleagues.

• Working across mobile, web, television and voice platforms supporting Product Managers, Business Analysts and working closely with Software & Data Engineers.

   

Requirements:
 

• Extensive (5+ years) experience in managing teams building data warehouses / analytics from a diverse set of data sources (including event streams, various forms of batch processing)
• At least 5 years’ experience in a Data Analyst, Data Modelling, Data Engineering or Analytics Engineering role, preferably in digital products, with an interest in data modelling and ETL processes
• Proven experience in dimensionally modelling complex data at the conceptual, logical and physical layer.
• Experience of designing STAR Schemas
• Excellent SQL skills for extracting and manipulating data. Experience of using tools such as DBT, Looker and Airflow would be an advantage.
• Good knowledge of analytical database systems (Redshift, Snowflake, BigQuery).
• Comfortable working alongside cross-functional teams interacting with Product Managers, Engineers, Data Scientists, and Analysts.
• Knowledge of digital products and their components, as well as what metrics affect their performance.
• An understanding of how digital products use experimentation.
• Some experience coding in R or Python.
• A good understanding of on-demand audio and video media products, with a knowledge of key competitors.
   

Will be a plus:

• Ability to listen to others’ ideas and build on them 
• Ability to clearly communicate to both technical and non-technical audiences.
• Ability to collaborate effectively, working alongside other team members towards the team’s goals, and enabling others to succeed, where possible.
• Ability to prioritise. A structured approach and ability to bring other on the journey. 
• Strong attention to detail
   

🔹 100% remote | 🌎 Global team | ⏳ Full-time
 

If you’re looking to work on cutting-edge AI products, solve challenging problems, and be part of a fast-moving, high-talent team, you’ll love it here.
 

Join NineTwoThree AI Studio, a remote-first product design, engineering, and marketing studio, founded in 2012 and based in Boston. We build AI-powered web and mobile apps for big brands and fast-moving startups.
 

You’ll work with really smart people—the kind of teammates who challenge you, push you forward, and make you better. We move fast and focus on getting things done.

We've been growing 20% every year for the last 5 years, which means there’s plenty of room for career growth and promotions. Our work speaks for itself—some of our customers found us through five layers of referrals. That’s how much people appreciate what we do.
 

We run on clear processes and strong leadership, so while we move quickly, we don’t do chaos. We do high-quality work, and we do it right.
 

We focus on products with a positive impact in various domains from sports and health, to logistics and nuclear. But if you're into gambling, adult entertainment, or crypto, we’re not your place.

Role:

As an ML Engineer at NineTwoThree, you will be at the forefront of integrating and optimizing ML technologies into our diverse range of projects. Your role involves researching, developing, and implementing machine learning models, particularly focusing on language models like GPT-4, and ensuring their seamless integration with our clients' applications.

Technology Stack:

• Transformer models.
• RAG (Retrieval-Augmented Generation).
• ReAct and LangChain for language model applications.
• Supervised and Unsupervised ML.
• Vector databases.
• AWS for cloud computing and machine learning services.
• Familiarity with TensorFlow, PyTorch, or similar frameworks.

Responsibilities:

• Develop and maintain advanced machine learning models, particularly focusing on natural language processing and understanding.
• Implement and optimize ML solutions for various client applications.
• Work closely with the development team to integrate AI models into existing systems.
• Experiment with new models and techniques to improve performance and capabilities.
• Participate in code reviews, maintain high coding standards, and contribute to our internal knowledge base.
• Stay abreast of the latest developments in AI and machine learning.

Requirements

• Knowledge of Machine Learning fundamentals.
• Background in integrating ML models into data-driven systems.
• Experience with Python and SQL, along with expertise in NLP and LLMs.
• Ability to quickly adapt to new technologies and problem domains.
• Familiarity with ML deployment and monitoring.
• Proven experience in machine learning and natural language processing.
• An understanding of general LLM architecture and limitations, as well as features of modern LLMs.
• Experience with cloud computing services, preferably AWS.
• Proficiency in Python and familiarity with ML frameworks like TensorFlow or PyTorch.
• Excellent problem-solving skills and ability to work independently.
• Strong communication skills and ability to collaborate in a team environment.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Fluent in English for effective collaboration with our international team.

We are glad to offer you:

• 100% remote job.
• Paid vacations, sick leave, and holidays.
• Flexible Working Hours: You can choose when to start your day. 10 AM? Great. 1 PM? That’s fine with us, as long as you can attend all scheduled meetings. While we don’t expect you to be available 24/7, our ML Engineers are often requested to meet and collaborate with clients in North America during East Coast business hours. Additionally, ML Engineer may be required to attend calls with clients from West Coast, where the latest call might be scheduled at 12 PM PST. We always strive to schedule meetings earlier in the day whenever possible.
• Accounting assistance.
• Well-being budget.
• Reimbursement of expenses for professional development courses/certifications.
• Hardware upon business needs.
• Collaborative and innovative work environment with continuous opportunities for learning and growth.

Hiring process:

We value your time and ours and make the process fast and easy. Our interview process takes the following steps: a short interview with the HR, 2nd technical interview with ML Engineer and CTO (optional), 3rd technical interview with the live coding challenge, Offer.

Join NineTwoThree Studio and be a part of a team that’s shaping the future with AI.

We’re looking for a Web Analyst to help scale acquisition and retention through data — from clear channel performance insights to ensuring tracking and attribution are reliable. This is a cross-functional role at the intersection of Marketing and Product, with strong impact on growth decisions.

What you’ll do:

• Analyze marketing channels and campaigns (CPA/ROI/ROAS/LTV, retention).
• Build and maintain dashboards and recurring reporting for the marketing team.
• Identify insights across funnels/cohorts/player segments and propose optimizations.
• Ensure measurement accuracy: GA4/GTM setup, events, UTM hygiene, basic attribution.
• Help teams investigate metric discrepancies and improve data quality.

What we’re looking for:

• Experience in marketing/product analytics (ideally in a performance-driven environment).
• Strong SQL and solid understanding of core marketing metrics.
• Hands-on with GA4/GTM and BI tools (Looker/Power BI/Tableau/Metabase).
• Strong communication skills and experience working with Marketing/Product stakeholders.

Nice to have:

• iGaming / online casino experience.
• BigQuery / Amplitude / AppsFlyer (if mobile is relevant).
• Basic Python, server-side tracking/CAPI.
• Understanding of forecasting fundamentals (e.g., how LTV/churn/conversion forecasts are built).

Why join:

• Clear ownership and visible impact on growth (acquisition, retention, unit economics).
• End-to-end involvement: data → insight → action, not just reporting.
• Opportunity to shape marketing analytics and measurement practices.

What we offer:

• Competitive salary. Performance-based bonuses tied to ROI and growth KPIs.
• 21 paid vacation days, 25 sick days, and 3 personal days per year.
• $600 annual L&D budget for courses, conferences, or mentorship.
• Business trips to our Cyprus HQ and international industry events.
• Team culture: regular offsites, team buildings, and company events.
• Transparent processes, no micromanagement — full ownership of your results.

About the Role

We're a fast-moving consultancy building AI-powered solutions for multiple clients across industries. Our projects move quickly, and we rely on engineers who embrace AI in their workflows to deliver features and fix bugs at speed. This role will begin as a contract, part-time position, with the opportunity to grow into a full-time role as we scale.

What You'll Do

• Build and maintain client-facing projects in Next.js and Node.js
• Develop responsive front-end features using React, HTML, and CSS
• Build and maintain server-side APIs and integrations with external systems
• Use AI-first tools (Claude Code, OpenAI Codex, Cursor, Windsurf) to accelerate development
• Write and debug Bash scripts for automation and CLI-based workflows
• Use Python for scripting, API integrations, and backend tasks when needed
• Ship new features, fix bugs, and improve performance across multiple projects
• Contribute to architecture and deployment decisions on cloud platforms
• Work across multiple projects at once, balancing priorities and client needs
• Integrate with third-party APIs for multiple clients, adapting to different systems and data structures
• Move fast, experiment, and thrive in a builder environment where the terminal and AI tools are central to the workflow

What We're Looking For

• Strong software engineering fundamentals with experience in JavaScript/TypeScript
• Skilled in React, HTML, CSS, and building modern front-end experiences
• Experience building and consuming server-side APIs (REST, GraphQL, etc.)
• Proficiency in Bash scripting and comfort working in the terminal/CLI
• Experience with Python for automation, scripting, or backend integrations
• Experience deploying on cloud platforms (Vercel preferred, or AWS, Azure, GCP)
• Familiarity with modern database platforms (Postgres, Mongo, Supabase, Firebase)
• Hands-on use of AI-first tools (Claude Code, OpenAI Codex, Cursor, Windsurf) in real workflows
• Skilled at building and debugging API integrations for different platforms and clients
• A builder mindset: enjoys hacking, experimenting, and shipping quickly
• A quick learner who thrives in fast-paced environments and takes ownership
• Knowledge of authentication systems (OAuth, SSO, JWT, etc.)
• Ability to manage and contribute to multiple projects simultaneously

Nice to Have

• Consulting or client-facing project experience
• Exposure to AI/ML integrations beyond code acceleration

Our Tech Stack

Frontend/Backend

Next.jsNode.jsReactHTMLCSS

Languages

JavaScript/TypeScriptPythonBash

Databases

PostgreSQLMongoDBSupabaseFirebase

Cloud Providers

VercelAWSAzureGoogle Cloud

AI Tools

Claude CodeOpenAI CodexCursorWindsurf

Senior Solana Developer - CoFo Neobank

About the Project

We're building CoFo Neobank — the first AI-first smart wallet on Solana that brings the banking app experience (like Revolut, Robinhood) into the on-chain environment.

Our goal is to abstract blockchain complexity. We're building an architecture where every user gets a Smart Account (a programmable account, not a simple EOA) that supports multi-factor authentication (2/3 Multisig), access recovery, spending limits, and native integration of complex financial products (Staking, Yield, Perps, RWA).

Core Responsibilities

• Smart Account Architecture Development: Design and write custom Rust programs (Anchor) for managing user accounts. Implement multisig logic (Device Key + 2FA Key), key rotation, and access recovery (Social Recovery).

• DeFi Composability (Integrations): Write adapters and CPI (Cross-Program Invocations) calls to integrate external protocols directly into the smart account:

• Swap: Aggregation through Jupiter
• Yield & Lending: Integration with Kamino, MarginFi, Meteora
• Perps: Integration with Drift Protocol

• Security and Access Control: Implement spending limits system, protocol whitelisting, and replay attack protection.

• Portfolio Logic: Develop on-chain structures for position tracking (storing data about deposits, debts, PnL) for fast frontend/AI reading.

• Gas Abstraction: Implement mechanisms for paying fees on behalf of users (Fee Bundling / Gas Tank).

Requirements (Hard Skills)

• Expert Rust & Anchor: Deep understanding of Solana Sealevel runtime, memory management, PDAs, and Compute Units (CU) limitations.

• Account Abstraction Experience: Understanding of how to build smart contract wallets that differ from standard system accounts.

• DeFi Integration Experience: You've already worked with SDKs or IDLs of major Solana protocols (Jupiter, Kamino, Drift, etc.). You understand what CPI is and how to safely call external code.

• Cryptography: Understanding of signature operations (Ed25519), transaction verification, and building secure multisig schemes.

• Security Mindset: Experience with audits, knowledge of attack vectors on Solana (re-entrancy, account substitution, ownership checks).

Nice to Have

• Experience with Privy (for authentication) • Understanding of cross-chain bridges (Wormhole/LayerZero) for implementing deposits from other networks • Experience with tokenized assets (RWA) and Token-2022 standard

Tech Stack

• Solana (Rust, Anchor Framework) • Integrations: Jupiter, Kamino, Drift, MarginFi • Infrastructure: Helius, Privy

We Offer

• Work on a product that's changing UX in DeFi • Complex architectural challenges (not just another token fork, but sophisticated wallet infrastructure) • Competitive compensation in stablecoins/fiat + project options/tokens

We are looking for a sharp and detail-oriented Product Analyst with experience in the gambling industry to join our product team. You’ll work closely with product managers and cross-functional teams to turn player behavior data and product usage metrics into actionable insights. If you have a strong analytical mindset, a deep understanding of iGaming user flows, and experience driving product decisions through data — we’d love to hear from you.

HOW YOU WILL MAKE AN IMPACT:

• Analysis of product metrics: Reg2Dep, retention, LTV, ARPU, conversion, engagement, etc.
• Building and analyzing user funnels
• Conducting A/B tests and evaluating their results
• Analyzing player behavior and identifying anomalies
• Supporting the business team with data and analytics for decision-making
• Building dashboards for products
• Participating in product roadmap development based on data
• Monitoring the effectiveness of features and promotional activities
• Monitor and control data accuracy, help build processes for collecting and storing data on transactions and user behavior
• Identifying, evaluating, and implementing analytics tools to improve product data tracking and visibility

WHAT WILL HELP YOU SUCCEED IN THE ROLE:

• At least 2 years of experience as a product analyst in the iGaming industry
• Hands-on experience with analytical tools like SQL, Power BI, Excel.
• Knowledge of Python or R for advanced data analysis is a plus.
• Working with segmentation: identifying and analyzing user segments by game and payment patterns.
• Identifying growth points: search and validation of product hypotheses based on data.
• Understanding of the basics of web analytics and CRO (conversions, user journey).
• Attention to detail, systematic thinking and ability to visualize data.
• Excel skills at a high level (not just the ability to create pivot tables, but well-thought-out structuring and competent design).
• Ability to set up goals, events and user segments in Google Analytics to monitor key user scenarios.
• Skills in correlating data from product analytics and web analytics for a complete picture of user behavior.
• Experience in setting up and analyzing user behavior funnels using Smartlook, Hotjar, Google Analytics (GA4) tools.
• Mastery of methods of visual analysis of user sessions (session recordings, heatmaps, clickmaps) to identify UX problems and churn points.

WHY YOU’LL LOVE IT HERE:

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)

Help industries go greener while shaping the future of sustainable technology!

We’re looking for a Business Analyst to join a global initiative that improves data accuracy, boosts efficiency, and ensures compliance with international environmental standards.

As a Business Analyst, you will play a crucial role in bridging the gap between technical teams and project stakeholders to ensure that system enhancements meet both technical specifications and business requirements.

You will also be responsible for gathering requirements, defining project deliverables, and documenting processes. If you’re ready to use your expertise to deliver meaningful change on a global scale, this is your chance!

Customer

Our client is working on upgrading their environmental data management system, which is essential for providing transparent and reliable impact assessments across various product lines.
Aligning the system with current best practices reinforces the client’s commitment to sustainability and regulatory compliance.

Project
This initiative is a pivotal step in helping industries to make informed decisions that prioritize environmental responsibility. The project focuses on integrating the latest industry standards and guidelines to ensure compliance with international environmental regulations. The enhancements aim to refine data accuracy and elevate system efficiency.
Responsibilities

• Act as a liaison between business stakeholders and the technical team
• Understand business needs, and elicit, validate, prioritize, and manage requirements, and ensure that the delivered solution aligns with those requirements
• Translate business needs into clear, detailed, and unambiguous requirements
• Document, analyze, and visualize business processes, workflows, and systems
• Document requirements with sound acceptance criteria

Requirements

• At least 4 years of commercial experience as a Business Analyst
• Proven experience in eliciting requirements
• Meticulous approach to creating documentation
• Fair knowledge and understanding of technology concepts
• Ability to document test scenarios and acceptance criteria
• Understanding of basic mathematics and coding, as well as knowledge of Front-end, Back-end, and databases to communicate with the development team
• Advanced level of English

We are looking for an experienced BI Analyst who will take ownership of building, maintaining, and optimizing our business intelligence infrastructure. The ideal candidate is passionate about data, analytics, and modern BI tools, and can translate complex data into actionable insights that drive business decisions.

HOW YOU WILL MAKE AN IMPACT

• Develop and maintain semantic data models in Power BI (Pro license or higher).
• Design and build reports and dashboards based on business requirements.
• Write complex DAX measures and calculations.
• Work with multiple data sources (databases, Google Sheets, etc.) and manage data connectivity (gateways).
• Administer Power BI, including managing permissions and RLS (Row-Level Security).
• Monitor BI trends and implement new Power BI features and AI capabilities into existing and new reports.
• Optimize performance and loading speed of reports and data models.
• Write and optimize SQL queries in BigQuery and MySQL (experience with ClickHouse is a plus).
• Use CTEs and window functions in query development.
• Collaborate with developers to define and document technical requirements for new data sources.
• Experience with Google Cloud Functions and Airflow is a strong advantage.

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• 2+ years of professional experience working with Power BI (not freelance projects).
• Hands-on experience with BigQuery and MySQL (ClickHouse is a plus).
• Strong proficiency in SQL (CTE, window functions).
• Practical experience in data modeling and report optimization.
• Understanding of data governance, access management, and RLS principles.
• Analytical mindset and attention to detail.
• Intermediate or higher level of English (for documentation and communication).

Nice to Have

• Experience with Tableau or Looker Studio.
• Background in Google Cloud Platform or other cloud ecosystems.
• Interest in implementing AI tools within BI systems.

WHY YOU’LL LOVE IT HERE:

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)

We are looking for a Blockchain Software Engineer with strong experience in Java, data-intensive systems, and distributed architectures, who enjoys working with blockchain data at scale.

In this role, the focus is on building robust backend systems and data pipelines that process, enrich, and serve blockchain data reliably and efficiently.

We value engineers with a solid foundation in computer science, who can reason about complex systems, understand trade-offs, and take ownership of production-grade infrastructure.

What you will do

• Design and develop Java-based backend services for blockchain data processing.
• Build and operate on-chain and off-chain data pipelines handling large volumes of events.
• Transform blockchain data (blocks, transactions, logs, state changes) into structured, analytics-ready datasets.
• Develop microservices deployed on Kubernetes (K8S) with a focus on stability and scalability.

• Work with streaming and batch processing systems (Kafka, Spark).

   

What we expect from you

• 3+ years of professional experience with Java.
• 5+ years of experience building data-intensive or data engineering systems.
• Strong fundamentals in algorithms, data structures, and distributed systems.
• Hands-on experience with high-throughput systems.
• Familiarity with technologies such as:
  • Kafka, Spark
  • ClickHouse, Snowflake, Redis (or similar)
  • Kubernetes (K8S), Airflow
• Ability to work independently and take responsibility for systems end to end.
• Bachelor’s degree in Computer Science or a related field.

Nice to have

• Experience with blockchain or Web3 infrastructure.
• Understanding of blockchain internals (blocks, transactions, consensus, re-orgs).
• Background in fintech, trading, or low-latency systems.
• Experience with analytics platforms or indexing services.

US Company is searching for a couple of Senior MLOps Engineers into a complex, enterprise-level project for maintaining of Multi AI Agentic platform. Interesting project with cutting edge technologies, distributed team, full-time, an official contract. Remote work, flexible schedule.

Brief project description:

• The product is SaaS, which allows multiple functions for sustainability & operational risk management. The project is dedicated for developing and maintaining of AI Center of Excellence.

Key areas of responsibility:

• Support application infrastructure to ensure platform is optimized for performance and reliability.
• Build and maintain supporting infrastructure for cloud environments and applications.
• Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full ML development life cycle
• Identify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectiveness
• Building and Managing enterprise AI solutions using Azure AI Foundry & Azure's integrated platform (Azure OpenAI, AI Search, Prompt Flow),
• Use a wide range of Azure resources to implement scalable, reliable and cost-efficient services.
• Work side by side with your engineers, guiding critical projects, using your subject matter expertise to solve complex problems.
• Perform and automate system administration services including installation, configuration, maintenance, and disaster recovery
• Identify system level issues related to OS configuration and virtual hardware bottlenecks.
• Automation, auditing, and other tooling for security, compliance, and resource usage - Monitor and improve processes for all deployments.
• Take ownership of operational excellence to establish and maintain business focused KPI’s. Use these metrics not only as a basis for positive transformation, but also as a visible representation of your team’s success.
• Maintain and take ownership of your tasks each sprint ensuring time worked is logged and details are added.

Required skills (at least one or more for each category):

• Excellent communication and collaboration skills.
• Ability to communicate effectively with multiple disciplines.
• Strong analytical skills with the ability to drive reliability improvements.
• Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.
• Proven success managing and optimizing CI/CD for an Azure-based SaaS application.
• Hands-on-experience with common DevOps tools, including Azure DevOps.
• Strong scripting skills with at least PowerShell or Bash.
• Experience with configuration management tools like Terraform.
• Working knowledge of version control/source code management tools.
• Experience working in an agile software development life cycle.
• Working knowledge of databases including SQL and NoSQL
• Strong knowledge of web server configuration and management like IIS or Tomcat.
• Working knowledge of local and wide area networking and associated technologies, e.g. switches, routers, firewalls, VPNs.
• Strong understanding of security principles.
• Bachelor’s Degree in Computer Science or similar area of study.
• Experience working in a technical fast paced environment with high demand and high standards.
• Ability to assimilate information quickly under pressure.
• Strong planning skills to ensure business expectations are met and projects are delivered on time.

Tech Stack:

• Understanding machine learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit-learn and their deployment in production environments is a plus.
• Cloud-based networking (VNETs, NSGs, Route Tables, Hub/Spoke based architecture, Private Endpoints, etc)
• Strong understanding of CI/CD (YAML and Classic Pipelines)
• PaaS (Web Apps, Function Apps, Storage Accounts, Key Vaults, Azure Redis Cache, Azure Service Bus, API Management, Azure Data Factory, Azure Databricks)
• Monitoring (New Relic, LogEntries, Rapid7, Azure Monitoring, etc)
• Some experience with Containers/Docker either for a microservice based architecture or Service Orientated etc
• Git, ARM, Terraform, Ansible, Azure CLI or similar.
• JavaScript, React, C#, Java, PowerShell, Bash or similar.

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:

• Step 1 - preliminary interview (main questions) - 30 mins
• Step 2 - internal tech interview (tech questions) - 40-50 mins
• Step 3 - tech interview with team leader and architect - 1 hour

Remote | Full-time

About the role

We’re building analytics for mobile and web subscription products.
 

This role is about connecting marketing, product, and revenue data into a clear analytics system that supports UA and product decisions.

You’ll work closely with Data Engineers, UA, PMM, Product Managers, and C-level, building dashboards, validating tracking, and turning data into actionable insights.

What you’ll do:

• Analyze paid traffic performance (Meta, TikTok, Google Ads, ASA): CAC, CPA, ROAS, LTV
• Analyze core product metrics: LTV, ARPU, Retention, Churn, Conversion
• Run cohort analysis by channels, countries, creatives
• Build and maintain SQL queries for reports and ad-hoc analysis
• Develop and improve dashboards in Looker Studio / Tableau
• Ensure data quality across AppsFlyer, AppHud and ad platforms
• Work with UA and Product teams to validate hypotheses and growth ideas
• Prepare clear insights and recommendations for decision-making

Requirements:

• Experience with subscription-based mobile or web products
• Strong SQL, Python is a plus
• Experience with BI tools (Looker Studio, Tableau, or similar)
• Experience with AppsFlyer / Adjust and subscription analytics tools
• Understanding of paid traffic analytics (Meta, Google, ASA)
• Solid knowledge of unit economics: LTV, ARPU, CAC, ROAS, payback

• Understanding of DWH concepts and collaboration with Data Engineers

   

Nice to have:

• Experience with web2app / web2web funnels
• Experience with BigQuery

• Product analytics or growth analytics background

   

Why this role

• Direct impact on growth, monetization, and UA decisions
• Full ownership of analytics for subscription products
• Close collaboration with Product, Marketing, and Leadership
• Remote-first, fast-moving environment

I am looking for a candidate for the #1 international medical tourism platform that helps patients from all over the world find the best clinics and doctors. 

We are currently scaling our SEO processes for 9 languages and looking for a Python AI Developer who will help us automate content creation and data processing using LLMs.
 

What you will do:

• Create AI agents & workflows: Automating generation, optimization, and verification of content, among other tasks.
• Build RAG systems: Ensuring our AI solutions are based on up-to-date medical data and Bookimed expertise.
• Develop ETL processes: Data parsing, processing large arrays of information, and integration via API.
• Rapid Prototyping: Transforming ideas from the SEO team into working tools (from idea to MVP in 2–3 days).
• Scaling: Moving successful experiments into stable production.
   

Our Tech Stack:

• Languages: Python (Clean code, fast delivery).
• AI/LLM: OpenAI API (GPT-4), Claude API, LangChain/LlamaIndex.
• Data/DB: SQL (PostgreSQL), Vector DBs (Pinecone/Weaviate), Pandas.
• Automation/Ops: n8n (or Make), Docker, Git, REST API & Webhooks.
   

You are our ideal candidate if:

• You write Python “automatically”: Fast, clean, and without unnecessary complications.
• You have a “Bias to Action”: You are a pragmatist who prefers a working solution “today” over an ideal architectural masterpiece “in a month.”
• Experienced with LLMs: You understand the difference between models, are skilled in Prompt Engineering, and know how RAG works in practice.
• API Master: REST, rate limits, error handling — this is your daily toolkit.
• Independent: You can figure out the documentation for a new library and implement it in an evening.
  
   

Will be a plus:

• Understanding of SEO principles (or readiness to dive in quickly).
• Experience working with large volumes of data (millions of rows).
• Understanding of basic statistics (A/B tests).
  
   

What we provide for your development and comfortable cooperation:

• Fully remote work — work from anywhere in Ukraine or the world.
• Medical insurance (after 3 months of work).
• Compensation for sports and coworking expenses.
• 22 paid vacation days per year.
• 10 paid sick days.
• 8 fixed extra days off for national holidays.
• Competitive market salary (discussed individually).
• Bonuses for achieving KPIs and successful project implementation.
• Provision of all necessary equipment.
• Full onboarding and constant support from the team.
• Funding and access to premium AI models and SEO tools.
• Budget for courses and certifications in automation.

Core Responsibilities

 • Data Pipeline Management: Develop, optimize, and maintain scalable data pipelines to ensure high-quality data flow. 

• API Development: Build and maintain high-performance backend APIs using FastAPI. 

• System Reliability: Proactively identify bottlenecks and improve system stability within existing infrastructures.

 • Collaboration: Work closely with cross-functional teams to integrate AWS services and workflow orchestration tools into the production environment.

 

Required Qualifications 

• Experience: 3+ years of professional Python development experience. 

• Databases: Strong proficiency in both SQL and NoSQL database design and management. 

• DevOps Tools: Hands-on experience with Docker, CI/CD pipelines, and Git version control. 

• Frameworks: Proven experience building applications with FastAPI.

• Cloud & Orchestration: Practical experience with AWS services and familiarity with Airflow (or similar workflow orchestration tools). 

• Communication: Upper-Intermediate level of English (written and spoken) for effective team collaboration. 

 

 Preferred Skills (Nice to Have) 

• Experience within the Financial Domain. 

• Hands-on experience with Apache Spark and complex ETL pipelines.

• Knowledge of container orchestration using Kubernetes. 

• Exposure to or interest in Large Language Models (LLMs) and AI integration.

Join a Company That Invests in You

Seeking Alpha is the world's leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

What We're Looking For

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if you’re great at SQL and have experience analyzing website data, you’re someone we want to talk to.

We’re looking for a Senior Data Analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. Our Analysts analyze raw data, not only pre-aggregated data, to extract just the right information and diagnose what is happening on our site.

The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization, and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

But more than that, we’re looking for experienced analysts who can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we haven’t measured or used new ways to explain user retention, or analyzed features of users' data that we haven’t analyzed.

The best thing about our work is that we’re part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.

What You'll Do

• Analyzing the behavior of users on our site and apps:

-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.

-Answer questions about site usage or user behavior based on deeper analyses.

• Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
• Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
• Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
• Split tests of product features:

-Design a test with clear success criteria

-Monitor test integrity

-Analyze results and give recommendations

-Use segmentation and clear cohort analysis to validate significant conclusions

-Conduct exploratory analysis to identify trends and opportunities

Requirements

• A minimum of 5 years in a B2C website-related Data Analyst position
• Strong SQL skills with experience writing complex and efficient analytical queries
• Demonstrated experience with working in English directly with business stakeholders, understanding their needs, and explaining results
• Understanding of website development and operations and how they connect to data gathered.
• Experience with data visualization tools (Looker/Tableau/PowerBI, etc.)
• Experience with report writing and technical requirements analysis, business process modeling/mapping, methodology development, and data modeling

How about building a high-load data architecture that handles millions of transactions daily?
We’re looking for a Senior Data Engineer with growing to Data Lead.
For design scalable pipelines from scratch.
An international iGaming company & Data-first mindset,
Remote, TOP-Salary

Responsibilities

– Build and run scalable pipelines (batch + streaming) that power gameplay, wallet, and promo analytics.

– Model data for decisions (star schemas, marts) that Product, BI, and Finance use daily.

– Make things reliable: tests, lineage, alerts, SLAs. Fewer surprises, faster fixes.

– Optimize ETL/ELT for speed and cost (partitioning, clustering, late arrivals, idempotency).

– Keep promo data clean and compliant (PII, GDPR, access controls).

– Partner with POs and analysts on bets/wins/turnover KPIs, experiment readouts, and ROI.

– Evaluate tools, migrate or deprecate with clear trade-offs and docs.

– Handle prod issues without drama, then prevent the next one.

Requirements

– 4+ years building production data systems. You’ve shipped, broken, and fixed pipelines at scale.

– SQL that sings and Python you’re proud of.

– Real experience with OLAP and BI (Power BI / Tableau / Redash — impact > logo).

– ETL/ELT orchestration (Airflow/Prefect or similar) and CI/CD for data.

– Strong grasp of warehouses & lakes: incremental loads, SCDs, partitioning.

– Data quality mindset: contracts, tests, lineage, monitoring.

– Product sense: you care about player/clients impact, not just rows processed.

✨ Nice to Have (tell us if you’ve got it)

– Kafka (or similar streaming), ClickHouse (we like it), dbt (modular ELT).

– AWS data stack (S3, IAM, MSK/Glue/Lambda/Redshift) or equivalents.

– Containers & orchestration (Docker/K8s), IaC (Terraform).

– Familiarity with AI/ML data workflows (feature stores, reproducibility).

– iGaming context: provider metrics bets / wins / turnover, regulated markets, promo events.

We offer

– Fully remote (EU-friendly time zones) or Bratislava/Malta/Cyprus if you like offices.

– Unlimited vacation + paid sick leave.

– Quarterly performance bonuses.

– No micromanagement. Real ownership, real impact.

– Budget for conferences and growth.

– Product-led culture with sharp people who care.

🧰 Our Day-to-Day Stack (representative)
Python, SQL, Airflow/Prefect, Kafka, ClickHouse/OLAP DBs, AWS (S3 + friends), dbt, Redash/Tableau, Docker/K8s, GitHub Actions.