Jobs Data Analyst

About the company:

Kickbite is a fast growing all-in-one marketing analytic tool, which collects, analyzes, and visualizes e-commerce data all in one place. It provides actionable insights to all decision-makers to scale online sales and improve return of advertising spends. 

Website: https://www.kickbite.io/

Requirements:

- 2+ years of related experience as data analyst/data quality analyst/data engineer;

- Excellent knowledge of SQL, ability to run complex queries to multiple tables in DB;

- Practice experience with Bigquery, other data warehouses;

- Knowledge of REST APIs principles, authentication, experience with Postman;

- Strong experience utilizing Jira and Confluence;

- Good verbal and written communication skills (English).

Nice to Have:

- Good understanding of SDLC, experience with Scrum/Kanban methodology;

- Practice experience with Python scripts;

- Experience with e-commerce businesses;

- FOP (private entrepreneur) registration in Ukraine.

Responsibilities:

- Monitor and report on data quality metrics;

- Perform and root-cause analysis of data issues;

- Connection of new data sources, data verification, reprocessing;

- Maintain documentation on data standards and procedures;

- Define and implement data quality rules and KPIs;

- Collaborate with data engineers to improve data pipelines;

What we offer:

- Competitive level of compensation;

- Full-time remote work 40 hours per week (approximately from 10.00 to 18.00);

- 20 working days of vacation per year;

- Paid sick leaves up to 2 weeks per year;

- Free time for educational purposes.

About the Company

LineUp is an IT outsourcing and outstaff company helping international clients expand their teams. We are looking for a Middle System Analyst for a long-term outstaff banking project, where requirements analysis, system integrations, and stable delivery within a regulated environment are key.

Summary

System Analyst for a banking outstaff project, focusing on requirements analysis, system integrations, and delivery within a regulated enterprise environment.

Responsibilities

• Gather, analyze, and formalize business and system requirements
• Model business processes (AS-IS / TO-BE)
• Design system and integration solutions
• Prepare documentation (SRS, functional specifications, API descriptions)
• Decompose requirements into development tasks
• Collaborate with development teams during implementation
• Participate in UAT and release delivery

Requirements

• 2+ years of experience as a System Analyst
• Business process modeling: BPMN
• UML diagrams (Sequence, Activity)
• Data modeling: ER diagrams
• Integration design experience
• API technologies: REST, SOAP, WebSockets
• Message brokers: RabbitMQ or Kafka
• API design and documentation (OpenAPI / Swagger), basic OAuth2 understanding
• Experience with Postman / SoapUI
• SQL (intermediate level, ability to read queries)
• Experience with relational and NoSQL databases
• Understanding of information security basics
• Basic understanding of microservice architecture
• CI/CD fundamentals
• Agile methodologies (Scrum / Kanban)
• Jira, Confluence
• User Stories and Use Cases
• Basic experience with Figma (UI mockups)

Nice to Have

• Banking or financial domain experience
• Integration-heavy projects
• Mobile application projects

Cosmolot is a Ukrainian product IT company that creates and develops an online digital entertainment platform. We build technology-driven solutions with a strong focus on security, transparency, and user comfort.

We are currently looking for a Middle+ Data Analyst to join our team and work with VIP-related data. In this role, you will analyze player behavior and performance metrics, build reports and dashboards, and provide data-driven insights to support key business decisions.

Your Responsibilities

• Analyze VIP-related data, including player activity, behavior, financial, and operational metrics
• Build and maintain reports and dashboards for the VIP team and related departments
• Perform ad-hoc and exploratory analysis based on business needs
• Calculate, monitor, and track key KPIs for the VIP direction
• Identify trends, patterns, and key drivers behind metric changes
• Collect, clean, and prepare data from multiple sources for analysis and reporting
• Ensure data accuracy, consistency, and reliability
• Present analytical insights and findings to business stakeholders
• Collaborate closely with Data Engineers and managers to clarify data requirements and calculation logic

Requirements

• 2+ years of experience as a Data Analyst or in a similar role
• Strong practical knowledge of SQL (CTEs, window functions) and Excel
• Hands-on experience with BI tools (Power BI or similar)
• Ability to work with large datasets and analyze high volumes of data
• Strong analytical thinking and attention to detail
• Excellent communication and collaboration skills, with the ability to clearly present insights to non-technical stakeholders

Nice to Have

• Experience in gaming, traffic analytics, or other product-oriented industries
• Experience using Python for data analysis

What We Offer

• Work in a strong team of professionals and genuinely supportive people
• Opportunities for professional growth and development
• Flexible working hours
• Medical insurance
• Sports expense compensation
• Psychological support
• Free language classes (English, Spanish, and German)
• 18 working days of paid vacation, paid sick leave, and sick days
• Regular team buildings and corporate events
• All necessary equipment for comfortable work

A-Players is looking for a Billing Operations Manager to join our Billing team and build and own the payment analytics and operational data foundation, launch reconciliation from scratch, and drive fees & cost transparency across multiple PSPs. You’ll work closely with the Head of Payments, Analytics, Engineering, and Finance to improve approval rates, processing stability, and overall payment costs -  with a direct impact on revenue and the company’s risk profile.

Ready to take ownership and build reconciliation and payment analytics from the ground up? Apply now or DM us with your CV!
 

Responsibilities

• Own payment analytics and the operational data layer (payments & billing)
• Building and developing reconciliation processes, fee and cost analysis, payment operations, and risk alerting
• Monitoring payment approval rates, processing stability, and overall payment costs
• Ensuring transparency of payment data for Payments, Finance, and the business
• Define data and table requirements and setting tasks for the Data Engineering team related to PSP data integrations
• Have a direct impact on revenue, payment costs, and the company’s risk profile
   

What We Look For

• 2+ years of experience in the billing, payments, or subscriptions domains
• Strong understanding of billing as a product, including payment flows, retries, routing, cascading, and reconciliation
• SQL proficiency (joins, aggregations; window functions are a plus) and experience with BI tools such as Tableau, Power BI, or Looker
• Strong analytical mindset and ability to use analytics as a product tool, including metrics, reporting, and data-driven decision-making
• Experience working with payment service providers and payment orchestration solutions such as Stripe, Adyen, PayPal, Checkout, Nuvei, or similar
• Ability to build a product roadmap, prioritize initiatives, and define requirements for Engineering and Data teams
• Experience working with fees, pricing, or other cost-related aspects of billing
• Understanding of risk and chargeback processes at the product feature level
• English proficiency at an Upper-Intermediate level
   

Nice to have

• Experience working with B2C subscription-based products and recurring billing
• Understanding of data models and experience participating in data structure design
• Experience with Primer or similar payment orchestration platforms
• Experience working in high-volume or multi-geo payment environments

We Offer

• Exciting challenges and growth prospects together with an international company
• High decision-making speed and diverse projects
• Flexibility in approaches, no processes for the sake of processes
• Effective and friendly communication at any level
• Highly competitive compensation package that recognizes your expertise and experience, Performance Review practice to exchange feedback and discuss terms of cooperation
• Flexible schedule, opportunity to work in a stylish and comfortable office or remotely
• Respect for work-life balance (holidays, sick days - of course)
• Bright corporate events and gifts for employees
• Additional medical insurance
• Compensation for specialized training and conference attendance
• Restaurant lunches at the company's expense for those working in the office, endless supplies of delicious food all year round
   

About the role: As a Game Analyst, you will drive strategic analysis focused on identifying, evaluating, and executing opportunities to drive growth and operational excellence for our flagship game MeChat - Love Secrets. During all phases of a project, you will analyze player behavior, identify problems, and make recommendations to uncover new growth opportunities.

🧩 About you:

• 3+ years of experience in a mobile gamedev company working with product analytics
• Analytical mindset; ability to structure information and dive deeper when needed
• Knowledge of key product metrics (LTV, ROI, ROAS, ARPU, ARPPU, etc.)
• Knowledge of the basics of statistics and probability theory
• Strong analytical skills and product judgment, applying insights to strategy and planning
• Proficient in Excel (spreadsheets), familiar with product analytics systems (e.g. Amplitude, Firebase, AppsFlyer)
• Proficient in SQL, familiar with BigQuery and visualization tools (Tableau); Python knowledge is a plus

🎯 Your impact:

• Provide insights via reports, experiments, predictions, and dashboards to various stakeholders
• Collaborate with content designers and developers to deliver the best experience to our players
• Formulate hypotheses based on experience or exploration, run A/B tests, and define relevant KPIs to validate them
• Enhance data gathering flows and procedures to include information that is relevant for building product analytics systems and further reporting
• Evolve data analytics culture, processes, and architecture

🤝 What We Offer

• A passionate, skilled team with zero bureaucracy — just results
• Competitive salary that lets you focus on your work and personal growth
• Professional development: learning budgets for courses, workshops, conferences
• 20 days of paid vacation, health insurance, and regular sports activities
• A collaborative culture: team buildings and fun events inside and outside the office

Who we are:

We are a fast-growing InsurTech startup leveraging AI and Machine Learning to transform the life insurance industry. We help insurers become data-driven by generating actionable insights that guide decision-making and shape business strategies.

We are seeking an experienced Data Analyst for an outsourcing/consulting role to support our R&D team. This is a unique opportunity for a self-motivated professional to take ownership of data insights and influence product development within a flexible engagement model.
 

The role:

As an external Data Analyst, you will be responsible for modeling, analyzing, and reporting data across our platform. You will own analytical outputs and dashboards, extract KPIs, perform deep analyses, and
contribute data-driven features to our machine learning models. You will work closely with internal teams, quickly understand business and client needs, and help deliver high-quality analytical outputs to our customers.
 

What you’ll do:
 

• Collaborate with the data team on building and implementing ML classification and regression models (e.g., customer churn, segmentation, recommender systems).
• Clean, transform, and ensure data quality throughout all stages of data acquisition and processing.
• Collect and analyze external data sources to support modeling and insights.
• Analyze large volumes of complex data involving multiple variables and business considerations.
• Translate data into clear business insights and articulate the story behind the numbers.
• Support and enhance reporting platforms and analytical dashboards.
   

What we are looking for:
 

• 2+ years of industry experience as a Data Analyst within a Data Science or Analytics team.
• Strong experience with code versioning platforms (e.g., GitHub).
• Excellent proficiency with Python and core data libraries (Pandas, NumPy, etc.).
• Strong capabilities in data extraction, exploration, and in-depth analysis.
• Hands-on experience with feature engineering.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Strong communication skills and a structured, problem-solving mindset.
• Proven ability to break down complex problems into manageable components.
• English at least B2
  
   

Nice to have:
 

• Experience with advanced data visualization libraries (e.g., Seaborn, Plotly).
• Experience with statistical feature selection methods.
• Background in Insurance or FinTech.
• Strong Excel skills.
   

Location: Ukraine

We are looking for a Campaign Analyst to support client-facing reporting and campaign analysis. This role combines strong analytical work with cross-team communication and continuous process improvement.
The Campaign Analyst will work closely with internal stakeholders to prepare, analyze, and present campaign results, ensuring data accuracy, clarity, and actionable insights for clients.

Key responsibilities:

• Prepare and maintain client-facing reports and campaign performance analyses
• Independently build reports and presentations (PowerPoint / Google Slides)
• Analyze campaign data and validate traffic quality
• Collect and clarify reporting requirements from multiple stakeholders
• Collaborate with Sales, Account Managers, Campaign Managers, and Analytics teams to gather inputs
• Ensure data consistency, accuracy, and alignment across reports
• Contribute to post-campaign analysis and insights generation
• Identify opportunities to improve, optimize, and automate reporting processes

Skills and experience:

• Strong analytical skills and attention to detail
• Advanced user of Excel and Google Sheets
• Confident with PowerPoint / presentation building
• Good understanding of data visualization principles

• Ability tWe are looking for a Campaign Analyst to support client-facing reporting and campaign analysis. This role combines strong analytical work with cross-team communication and continuous process improvement.
  The Campaign Analyst will work closely with internal stakeholders to prepare, analyze, and present campaign results, ensuring data accuracy, clarity, and actionable insights for clients.

   

• Benefits:
• Competitive compensation package
• International work environment
• Flexible working schedule and the possibility to work remotely
• Annual performance bonus
• English classes
• Maternity/Paternity leaveo work independently and manage multiple tasks
• Strong communication and collaboration skills
• Comfortable gathering requirements and aligning expectations with different teams
• Proactive mindset with interest inprocess optimization and automation
• Good English proficiency (written and spoken)

Benefits:

• Competitive compensation package
• International work environment
• Flexible working schedule and the possibility to work remotely
• Annual performance bonus
• English classes
• Maternity/Paternity leave

At WhiteTech, we empower businesses in the financial ecosystem with cutting-edge white-label and SAAS solutions.

Our comprehensive suite of tools is tailored for EMI, PSP, e-commerce, and open banking platforms. With WhiteTech, clients gain access to a platform designed for flexibility, scalability, and seamless integration. 👩‍💻

Our mission is to help businesses unlock their full potential in a rapidly evolving financial landscape.

Whether scaling your PSP, enhancing your EMI services, or diving into open banking, WhiteTech is your partner for innovation and growth. 🙌

We are a remote-first technology company and welcome applications from candidates across Europe, including the EEA, the UK, Switzerland, and other non-EEA European countries such as Ukraine, Moldova, Georgia, Armenia, Montenegro, Turkey, and the Western Balkans. We also consider applicants from different locations who can work within Central European Time (CET).

Your role and impact:

As a Business Analyst at WhiteTech, you will contribute to conducting detailed business analysis, understanding market dynamics, and enhancing our product offerings. By working closely with internal teams and external partners, you will ensure our products not only meet but exceed the evolving needs of our customers. We are looking for someone who is detail-oriented, proactive and innovative, able to learn and adapt quickly.

Your key responsibilities:

• Conducting comprehensive business analysis for diverse fintech projects and initiatives.
• Analyzing industry trends, market conditions, and competitor strategies for benchmarking purposes.
• Collecting and prioritizing the product requirements from stakeholders and the focus groups.
• Developing detailed use cases, user stories, and documentation to outline product features and functionalities.
• Identifying and addressing gaps in current products and processes.
• Working with third-party developers to integrate API and SDK products.
• Providing technical support to internal sales, operations units, and partner engineering teams.
• Participating in troubleshooting, testing, launching, and monitoring post-integration of solutions.
• Creating technical documentation, integration manuals, guidelines, user manuals, and training materials for clients.
• Managing internal knowledge transfer and conducting product demonstrations to stakeholders.

Requirements & Skills:

• Bachelor’s Degree in Computer Science, Information Technology, Business Administration, Finance, or a related field.
• At least 2 years experience as a Business Analyst or Product Manager.
• Familiarity with both B2B and B2C environments.
• Knowledge of business analysis requirements, project management principles, practices, techniques, and tools.
• Understanding of basic usability principles and UI/UX design (Figma).
• Experience with SQL and basic knowledge of HTML, CSS, JavaScript.
• Strong proficiency in Jira, Confluence, Miro, UML, and Google tools (Docs, Sheets, etc.).
• Experience in creating mockups and sketches for user interfaces.
• Excellent communication skills, capable of engaging effectively with both technical and non-technical stakeholders.
• Understanding of Agile methodologies.
• Strong analytical, and problem-solving skills.
• At least an Upper-intermediate level of English.

‼️Our recruitment process typically follows these stages:

1. Application screening
2. Interview Stages (2-3 weeks):
   • Prescreening call (40 min)
   • Technical Assignment (up to 3 hours)
   • Technical Interview with PM (60 min)
   • Final Interview with Head of PMO (60 min)
3. Job Offer
4. Referrals: Employment and Background Check

We offer: 

• Competitive compensation package (commensurate with your experience)
• 19 business days of flexible Paid Time Off (PTO)
• Fully remote work with flexible hours (within the CET time zone) from any location of your choice
• Values-driven culture with a friendly and supportive work environment
• Opportunity to regularly participate in conferences and community events as both a participant and contributor
• Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency

Embrace the opportunity to develop your skills in a cutting-edge fintech environment.

Please apply now to be part of our dynamic team and make a tangible impact on the future of payments!

🧭 What makes you a great match:

• 2+ years of experience as a Data, Product, or Performance Analyst in iGaming;
• Solid understanding of product and business metrics (KPIs, Funnels, Retention, Revenue, Conversion, etc.);
• Proven track record in troubleshooting metric drops, analyzing instability, and identifying root causes;
• Strong command of SQL (PostgreSQL / BigQuery), including complex queries, joins, and aggregations;
• Experience building and maintaining dashboards in Tableau, Looker Studio, or similar tools;
• Practical experience using Python for data analysis (Pandas, Numpy);
• Advanced proficiency in Excel / Google Sheets for rapid data validation and hypothesis testing.

📋 Your daily adventures:

KPI Monitoring & Reporting

• Continuously track key product and business KPIs to ensure data health;
• Identify deviations from expected values and ensure timely, accurate reporting;
• Maintain the integrity of analytical dashboards.

Performance Gap & Root Cause Analysis (RCA)

• Investigate drops or fluctuations in metrics to distinguish symptoms from core issues;
• Conduct deep-dive analyses to explain performance changes and provide clear, data-backed answers;
• Establish the root causes of performance shifts rather than just reporting symptoms.

Benchmarking & Optimization

• Establish benchmarks based on historical data to evaluate current performance;
• Compare results against internal standards to identify opportunities for growth and optimization;
• Track performance trends over time to predict potential risks.

Actionable Insights & Recommendations

• Translate complex data sets into clear, narrative insights for stakeholders;
• Highlight both "red flags" and success stories, proposing specific actions to improve KPIs;
• Turn raw data into actionable business strategies.

Cross-functional Collaboration

• Partner with Product, Marketing, and Finance teams to align analytics with business objectives;
• Empower teams to make data-informed decisions through clear communication;
• Help stakeholders better understand data trends and their direct impact on the business.

Benefits

💸 Flexible payment options: choose the method that works best for you;
🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup;
🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care;
📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us;
🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more;
🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage;
💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow;
🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.

About Us:

Liki24 is a marketplace of healthcare products and services.
Our mission is making health affordable and accessible for everyone.
We aim to deliver an exceptional customer experience, providing seamless access to various goods across multiple markets, enhancing customer satisfaction, and solidifying our place as a leading health and wellness marketplace.

We are looking for a highly analytical and data-driven Strategic Operations Manager to join our team and take ownership of category expansion on the Liki24 platform. This role is at the intersection of market research, operational testing, and commercial strategy — with a strong focus on scaling what works and finding new pockets of growth.

You’ll be responsible for identifying and launching new high-potential product categories, analyzing competitive positioning, and driving initiatives to expand our catalog and market footprint. You’ll work closely with supply, content, and marketing teams to validate hypotheses, refine our offering, and turn insights into real business impact.

What We’re Looking For:

• Strong research and analytical mindset — you ask why, not just what.
• Curiosity and critical thinking — you go deep and connect the dots.
• A structured and data-driven approach to solving business problems.
• Creativity and proactiveness — you take initiative and move ideas forward.
• Detail-oriented, persistent, and outcome-focused.
• Comfortable working independently, managing priorities, and owning results.
• 3+ years of experience in business analysis, commercial strategy, operations, category management, or marketplace roles.

Nice to Have:

• Experience in fast-paced e-commerce or marketplace environments.
• Understanding of customer behavior, sales funnels, and product merchandising.
• SQL or BI tools (Tableau, Power BI, Looker, etc.) — a big plus.

Key Responsibilities:

Research & Analysis (40%)

• Analyze internal and external market data: sales volume, demand, supply, competition, pricing, availability.
• Identify market trends, product gaps, and regional opportunities.
• Evaluate competitor offerings and delivery strategies

Operational execution (50%)

• Develop and test hypotheses to improve product sales and visibility.
• Adjust and localize our value proposition (pricing, bundling, visuals, copy, etc.).
• Collaborate cross-functionally with marketing, content, and supply teams to execute initiatives.
• Monitor impact and performance metrics across product categories.
• Iterate based on outcomes and generate new ideas to drive results

Strategic thinking (10%)

• Identify scalable approaches, playbooks, and tactics for expansion.
• Contribute to long-term strategic thinking on new markets, product lines, or customer segments. 

What We Offer:

• Opportunity to work in a global company with a strong social mission.
• Ability to transform your ideas into impactful realities.
• Chance to be part of an open-minded and innovative team.
• Exceptional opportunities for personal and professional growth.
• 20 paid vacation days, 21 paid sick leaves, and paid national holidays.
• Flexible schedule with the option to work from home.

We are making Health! If you’re excited about growth challenges, passionate about impact, and not afraid to experiment — join us!

We’re looking for a motivated and detail-oriented Junior Fraud Analyst to join our growing FinTech team. You’ll work closely with the team to monitor transactions, identify suspicious patterns, and improve internal detection rules.

Requirements

• Strong analytical skills and attention to detail, with the ability to identify anomalies in data.
• Basic knowledge of SQL or a strong willingness to learn and apply it in daily work.
• Interest in fraud detection, risk analysis, and the fintech domain.
• Comfortable working with spreadsheets (Google Sheets, Excel, or similar).
• Intermediate or higher level of English (both written and spoken).
• Ability to follow internal processes, documentation, and agreed working practices.
• Quickly learning and adapting to evolving tools and processes.

Responsibilities

• Monitor and analyze transactions with a strong focus on accuracy, attention to detail, and consistency.
• Investigate alerts, identify fraud patterns, and escalate complex cases as needed.
• Continuously improve fraud detection rules and strategies based on data insights.
• Develop and maintain reports on fraud trends and system performance.
• Communicate with cross-functional teams and senior management to develop and implement effective fraud prevention strategies and procedures.
• Contribute to internal documentation of fraud rules, investigations, and test results.

Nice to have

• Familiarity with common fraud typologies and techniques.
• Basic understanding of Python for data analysis, visualization or automation.
• Interest in fintech, fraud prevention, and risk systems.

What you will get with us

• Team-oriented and encouraging work environment.
• Career development opportunity.
• Paid vacation & sick leaves.
• Corporate English classes.
• Paying taxes and conducting private entrepreneurs.
• Internal Referral program.
• Remote-based work.

Hiring process

• CV screening → Interview with Recruitment Specialist → Test Case→ Interview with Hiring Manager → Job Offer.

Are you ready to explore new opportunities? We invite you to submit your application today. We appreciate your interest and look forward to welcoming you on board!

We’re looking for a CRM Manager with iGaming experience who knows how to build personalized communications, analyze retention metrics, and launch campaigns that keep players coming back again and again.

🧭 What makes you a great match:

• 2+ years of experience as a CRM Manager in iGaming;
• Hands-on experience with Smartico: setting up missions, badges, tournaments, segmentation, and communication logic — required;
• Understanding of key retention metrics and strong analytical skills;
• Knowledge of structures and mechanics of personalized communication;
• Experience building automated and trigger-based campaign flows;
• Confident user of Customer.io, Braze, Smartico, or similar platforms;
• Copywriting skills and basic HTML for email templates;
• Experience working with Tier 1 markets — a plus.

📋 Your daily adventures:

Operational tasks:

• Set up, launch, and analyze CRM campaigns (daily, weekly, themed, holiday campaigns);
• Create and optimize automated communication flows (triggers, welcome-flow, life-cycle logic);
• Manage multi-channel communications: email, push, SMS, onsite, in-app, messengers.

Smartico-related responsibilities:

• Configure missions, badges, tournament logic, Fortune Wheel, and other gamification mechanics;
• Build campaign logic using Smartico Rules Engine;
• Manage segments and personalized campaigns within Smartico;
• Conduct A/B testing within Smartico.

Additional responsibilities:

• Segment users based on lifecycle stage, gaming, and payment behavior;
• Collaborate with designers and content managers on creatives and campaign texts;
• Contribute to setting and adjusting campaign KPIs: OR, CTR, CR, Retention, Reactivation.

Team and cross-functional collaboration:

• Work closely with VIP, Promo, BI, Product, Content, and Support teams;
• Participate in planning the quarterly CRM roadmap;
• Prepare campaign reports and presentations;
• Collect and implement player feedback (in collaboration with CS and VIP teams).

Benefits

💸 Flexible payment options: choose the method that works best for you;
🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup;
🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care;
📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us;
🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more;
🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage;
💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow;
🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.

We believe strong analytics infrastructure is not just support — it’s a core driver of product quality, reliability, and business growth.

About the Role

Solidgate is a product-driven FinTech company operating in a highly dynamic and regulated environment. Our platform processes millions of transactions daily, where data accuracy, real-time monitoring, and system reliability directly impact revenue and customer trust.

As we grow, we are expanding our Platform Analytics function and are looking for a Platform Analytics Engineer to help strengthen our analytics and monitoring infrastructure.

Platform Analytics at Solidgate is responsible for the analytical foundation of the platform — systems that monitor data quality, system health, anomalies, and critical business metrics in real time. This function ensures platform stability, supports operational decision-making, and enables teams to scale reliably.

This role sits at the intersection of engineering and data science, with a strong focus on platform enablement.

The mission is to evolve and support analytics infrastructure, including automations, monitoring systems and AI solutions, while continuously improving shared projects, tools, and guidelines used across the analytics team.

This is a hands-on role with ownership over meaningful parts of platform-level analytics systems, with mentorship and shared responsibility across the team.

You will work with Python-based data automations and observability systems, including anomaly, metrics, and real-time monitoring, designed to detect data inconsistencies, trend deviations, and operational issues.

Explore our technology stack ➡️ here.

What You Will Own

Short-term responsibilities:

• Stabilizing and modernizing core monitoring services
• Expanding and improving monitoring systems
• Refactoring and restructuring automation projects for recurring tasks
• Automating data source preparation and processing pipelines
• Working closely with Amazon Redshift (DWH)

Long-term responsibilities:

• Implementing AI agents to process and classify monitoring notifications as PoCs and gradually in production
• Contributing to internal initiatives around AI-driven automation and scalable analytics systems
• Gradually taking ownership of complex platform-level analytics initiatives

You Are a Great Fit If You Have

• 2–3 years of overall experience, including at least 1.5 years of Python in production
• Strong Python fundamentals: PEP standards, versioning, basic OOP, functional programming
• Experience with Airflow
• Strong SQL skills, including window functions and query optimization
• Experience working with production systems and legacy codebases
• Responsibility, comfort operating production systems, prioritizing under ambiguity, and strong time-management skills
   

Nice to Have

• Experience with BI tools
• Familiarity with NoSQL databases
• Interest in AI-driven automation
• English level: Intermediate+
• Git-based workflows and code review culture
• Dependency management and packaging (pip/poetry)
• CI/CD basics (GitHub Actions / GitLab CI)
   

Why Join Solidgate?

Build systems that matter. Your work will directly affect platform stability, business decisions, and customer trust.

Real ownership. You’ll work with critical infrastructure, not dashboards for dashboards’ sake.

Modern stack & innovation. Real-time analytics, AI automation, and scalable data systems.

Growth without bureaucracy. Fast decisions, strong engineering culture, and room to experiment.

The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun.

Tomorrow’s fintech needs your mindset. Come build it with us.

Data Analyst

Location: UA, Poland

Employment Type: Full-time / Contract / B2B
 

About the Role

We are looking for a Data Analyst to turn data into actionable insights that support business and product decisions. You will work closely with stakeholders across Product, Marketing, Operations, and Leadership to analyze data, build reports, and help the company make data-driven decisions.

Key Responsibilities

• Collect, clean, and analyze data from multiple sources
• Develop and maintain dashboards, reports, and data visualizations
• Translate business questions into analytical tasks and insights
• Identify trends, patterns, and anomalies in data
• Define and track KPIs and performance metrics
• Support product and business decision-making with data insights
• Collaborate with data engineers and stakeholders to improve data quality
• Document data definitions, metrics, and analytical methodologies
• Present findings clearly to technical and non-technical audiences

Required Qualifications

• 4+ years of experience as a Data Analyst or in a similar role
• Strong SQL skills
• Experience with BI and visualization tools (e.g., Tableau, Power BI, Looker)
• Solid understanding of statistics and data analysis concepts
• Experience working with large datasets
• Strong analytical and problem-solving skills
• Ability to communicate insights clearly
• Good English communication skills

Nice to Have

• Experience with Python or R for data analysis
• Experience in product analytics (funnels, cohorts, A/B testing)
• Knowledge of data warehousing concepts
• Experience in SaaS, fintech, or e-commerce
• Familiarity with cloud platforms (AWS, GCP, Azure)

We’re a fast-growing, data-driven company building a proprietary intelligence platform used by professional teams to make better-informed decisions. Data quality and accuracy are core to what we do — we prioritize clean, current, and verifiable information, not volume for volume’s sake.

Our datasets operate at meaningful scale and require strong human judgment alongside structured processes.

What you will do

• Validate and improve existing data records to ensure accuracy and relevance
• Identify and add new organizations that meet defined internal criteria
• Verify people, roles, and seniority using public sources (incl. LinkedIn)
• Detect inconsistencies, outdated information, and duplicates
• Maintain structured datasets with clear validation logic
• Work closely with internal teams to continuously raise data quality standards

Who we’re looking for

• Strong manual research & verification mindset
• Advanced LinkedIn research experience (org mapping, role validation)
• Very high attention to detail
• Comfortable working with structured datasets and quality checks
• Able to make judgment calls based on incomplete or conflicting information

Nice to have

• Background in data quality, research, or analytics
• SQL or advanced spreadsheet skills
• Experience working with large or evolving datasets
• Familiarity with NLP- or AI-assisted research tools

How we measure success

• Accuracy and consistency of verified data
• Quality of newly added organizations
• Low error and false-positive rates
• Clear documentation of decisions and edge cases

Why strong candidates like this role

• Real ownership over data correctness, not mechanical tasks
• High standards and clear expectations
• Work that rewards judgment and curiosity
• Exposure to large, structured datasets used in production