Jobs Data Analyst

Who we are:
Selesa offers IT outsourcing, specialist out-staffing, and project management services to enhance business operations. We focus on providing skilled professionals for IT needs, including development, security consulting, and business development. Selesa also manages sales, account management, and human resources to support company growth. Our services are known for efficiency, quality, and strong communication, making us a trusted partner for businesses looking to streamline and secure their IT infrastructure. Originated in Vilnius, Lithuania, we cater to global clients.

Who we are looking for:

We’re looking for a Web Master to own and scale our multi-site web network—from build and uptime to content operations and cross-team coordination.

Responsibilities

• Launch and manage multiple sites (CMS of choice); themes, plugins, hosting, domains, DNS, SSL, CDN.
• Implement new pages/sections, templates, and components; create wireframes/mockups when needed.
• Content operations: publish/format articles, graphics, landing pages; enforce brand and UX standards.
• Maintain performance, security, and uptime (backups, updates, monitoring, caching).
• Set up analytics & tracking, goals, and dashboards; run basic A/B tests.
• SEO hygiene: technical checks (sitemaps, robots, schema, redirects, Core Web Vitals), on-page basics.
• Coordinate change requests with developers; write clear tickets/specs and follow through to release.
• Localization workflow across languages; manage translation assets and content parity.
• QA before/after releases; document processes and maintain a site inventory.

Requirements

• 3–5+ years managing production websites (multi-site experience preferred).
• Strong CMS skills, HTML/CSS, comfort with no-code/low-code tools.
• Working knowledge: GA4, GTM, Search Console, PageSpeed/Lighthouse, CDN (Cloudflare/Akamai).
• Solid English and communication; proven stakeholder coordination.
• Organized, deadline-driven, high attention to detail.

Nice to Have

• Basic JS/PHP, REST/GraphQL familiarity; CI/CD awareness; accessibility (WCAG) and GDPR/CCPA basics.

What we offer:

• Fully remote position with a flexible schedule
• Long-term opportunity with potential for financial and career advancement

• Supportive and positive work culture, collaborating with like-minded teammates

   

When submitting your application, please make sure to include your responses to the following screening questions in your COVER LETTER:

1. Please explain to us your level of spoken/written English. Just rank it from 1 to 10, where 10 means a Native Speaker; 8-9 means a Near Native Speaker; 6-7 means Fluent Speaker; under 6 any further levels.
2. Can you describe your experience managing multiple content websites or digital products simultaneously?
3. How do you approach building and maintaining a website roadmap?
4. What are your Monthly salary expectations for a long-term, full-time position (if we consider 40 hours a week)?

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.
 

As a Product Analyst for the E‑commerce team, you will play a key role in driving data‑informed growth across our online product ecosystem. You will focus on uncovering insights that accelerate acquisition, improve conversion, and optimize user journeys across the funnel. Through experimentation, analytics, and close collaboration with product and marketing teams, you will help shape strategic decisions and unlock new opportunities for scale.
 

Your impact:

• Work closely with the E‑commerce team and help them make effective, data‑driven decisions.
• Analyze data to identify growth opportunities and product improvements.
• Support the e‑commerce team with A/B testing.
• Build standardized dashboards and ad hoc reports to deliver actionable insights to stakeholders.
• Oversee the implementation, maintenance, and improvement of web analytics and tagging methodology using Google Analytics and Google Tag Manager.
   

About you:

• 3+ years of experience in analytics within an IT company, preferably in e‑commerce products.
• Experience analyzing A/B test results to improve product performance.
• Knowledge of Google Analytics and Google Tag Manager.
• Strong analytical skills and the ability to justify your ideas with data.
• Experience with data visualization tools such as Tableau.
• Strong spoken and written English.
   

Will be a plus:

• Experience programming in Python.
• Experience working with Shopify.

What you get at BetterMe:

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment.We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.

Find more about us on social media platforms: Instagram, LinkedIn.

We are looking for a Junior Risk & AML Specialist to join our growing FinTech team.
This role focuses on monitoring transactions, reviewing payer activities, and ensuring that all operations remain compliant with internal policies and AML regulations. You will work across multiple systems, maintaining accuracy and consistency in reviews while supporting the company’s overall risk management framework.

Requirements

• Experience in Risk, AML, or Compliance (preferably within FinTech or PSP) would be an advantage, but we are open to motivated candidates without prior experience.
• Strong analytical mindset and ability to identify key details in large data sets.
• High level of concentration and consistency when working with repetitive or high-volume tasks.
• Structured and process-driven approach to ensure accuracy in every review.
• Reliability and responsibility when handling sensitive information.
• Curiosity and genuine interest in understanding payer behaviour and transaction patterns.

Responsibilities

• Monitor transactions and payer activities to detect suspicious behaviour, fraud attempts, and potential money laundering schemes.
• Ensure compliance with applicable Anti-Money Laundering (AML) and Counter-Terrorist Financing (CTF) laws, regulations, and internal standards.
• Conduct AML/CFT risk assessments and identify areas of increased risk exposure.
• Perform investigations into potential AML/CFT breaches or other financial crime risks.
• Conduct CDD and EDD checks on payers, including SOF/SOW verification when required.
• Escalate high-risk cases, red flags, or unusual activity to the Team Lead for further review.
• Suggest improvements and contribute to the enhancement of internal compliance controls and procedures.
• Collaborate with Legal, Operations, Payments, and Compliance teams to ensure consistent risk management.
• Stay informed about regulatory updates, best practices, and emerging AML/CFT risk trends.
• Maintain clear, accurate, and up-to-date records of reviews, investigations, and compliance actions.

Nice to have

• Experience in Risk, Compliance, Fraud Prevention, or Customer Support.
• Basic understanding of online payments or how FinTech companies operate.
• Familiarity with AML tools or transaction monitoring systems.
• Confident use of Excel or similar tools for data review and analysis.
• Interest in compliance and analytical work.
• Ability to stay focused when working with detailed or repetitive tasks.
• Curiosity to understand payer behaviour and transaction patterns.
• Willingness to learn, ask questions, and grow through feedback.

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 → 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!

About OneReach:

OneReach.ai builds conversational AI and automation tools that help organizations improve how they communicate and operate. Founded by Robb Wilson, author of Age of Invisible Machines, the company focuses on practical, human-centered automation for real business use cases.

Our no-code/low-code platform enables teams to design and manage AI-driven workflows, virtual assistants, and system integrations across channels. Customers use the platform to automate processes, personalize interactions, and connect existing enterprise tools - reducing manual work and improving efficiency at scale.
 

Position Overview:

We are seeking a detail-oriented Revenue and Billing Analyst to support billing accuracy, financial reporting, and product profitability. This role sits at the intersection of finance, operations, and data, ensuring that billing processes are accurate, scalable, and aligned with business objectives.

You will work closely with finance, product, and engineering teams to analyze operational metrics, improve billing systems, and maintain financial integrity across customers and vendors.
 

What You’ll Do:

• Prepare and submit timely, accurate management reports for finance, product usage, and key KPIs
• Review daily and weekly operational metrics to identify trends and support long-term financial performance
• Analyze vendor costs and allocate expenses per customer and product
• Identify non-reported billable items, such as taxes or carrier costs, and ensure proper allocation
• Review monthly subscriptions and verify vendor billing rates against contracts
• Conduct ad-hoc billing adjustments, including credits, liabilities, and contract updates
• Verify usage completeness and reconcile with reporting databases
• Perform monthly audits and weekly sampling checks to ensure billing accuracy
• Review billing rates and SKU pricing to ensure alignment with contracts or default rates
• Maintain billing system mappings for new services and SKUs
• Determine SKU rates based on cost and markup, and update default SKU lists
• Ensure invoice presentation is accurate and SKU-friendly
• Validate new environments and databases for correct reporting events and billing assembly
• Support semi-automated billing pipelines for event reconciliation
• Build financial, statistical, and analytical models to support decision-making
• Collaborate with cross-functional teams to resolve discrepancies and improve systems
• Assist pre-sales with usage modeling, billing estimates, and small-sample analyses
• Identify process inefficiencies and propose improvements to billing and finance workflows
• Contribute to continuous improvements in billing automation and financial processes
   

Requirements:

• 2+ years of experience in Big 4 audit or similar high-standard audit/finance environment
• Bachelor’s degree in Finance, Accounting, Economics, or related field 
• Strong analytical and problem-solving skills, with the ability to work with large datasets
• Solid understanding of accounting principles, cost allocation, and financial reporting
• Advanced Excel or Google Sheets skills (pivot tables, lookups, modeling)
• Strong attention to detail and commitment to data accuracy and integrity
• Ability to independently manage projects from start to finish
• Comfortable collaborating cross-functionally with finance, product, and technical teams
• Excellent organizational skills and ability to prioritize tasks in a fast-paced environment
• Strong communication skills to explain financial concepts to non-finance stakeholders
• Proactive mindset with a focus on continuous improvement
   

Nice to Have:

• Experience in IT, SaaS, or technology-driven environments
• Basic SQL knowledge or willingness to learn
• Familiarity with accounting systems like SAP or Microsoft Business Central
• Exposure to billing systems, revenue operations, or usage-based pricing models
   

Why Join OneReach.ai

• Shape the future of automation: Contribute to a world-class platform that’s redefining how organizations design, deploy, and scale automation.
• Work with global experts: Collaborate daily with a distributed team of innovators in conversational AI, automation, and user experience.
• Enjoy a flexible, hybrid work culture with opportunities for professional growth and development.

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 :)

As a Senior Growth Analyst at Readdle, you'll own the numbers behind how Spark grows and proactively discover opportunities and validate the impact of initiatives. From the first ad impression to long-term renewals, you'll make sense of the data, design event structures, and ensure everything is measurable. You'll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to discover product & growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports that enable stakeholders to answer key questions with data and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design, sequence, and monitor A/B experiments and feature launches; validate results and ensure statistical rigor & consistent long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with discoveries from data and impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with measurement vendors to meaningfully track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience working on user acquisition, pricing, monetization, and/or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau/Looker/etc. for reporting and complex data visualization and product analytics tooling. Amplitude/Mixpanel/Heap/Hotjar/PostHog for event/property tracking and user journey tracking.
• Experience with marketing attribution platforms (Appsflyer/Adjust/Kochava/etc.); familiarity with Python/R for data analysis and automation. Experience with ML or time-series inference is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), marketing analytics (incl. attribution, MMM, incrementality testing, etc.), statistics, experimentation, and experience with segmentation and modeling churn or LTV. Demonstrable advanced analytics experience (causal inference, quasi-experiments, linear programming, econometrics, etc.) is highly advantageous for the role.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Solid business acumen. Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.
   

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

Here is the revised version of the job description in English. I’ve adjusted the phrasing and structure to make it feel unique for a different recruiter's post on Djinni while maintaining the exact core requirements and brand identity of EverREST.

Business Analyst (Salesforce / RevOps)
EverREST is a premier Salesforce & RevOps consulting firm dedicated to transforming complex operational chaos into streamlined revenue growth. We are looking for a strategic Business Analyst to join our international team and act as the vital bridge between high-level business goals and technical delivery for our global clients.

The Role: Your Impact
Discovery & Strategy: Lead discovery workshops to extract requirements, define project scope, and align global stakeholders on vision.

Process Engineering: Analyze, map, and optimize intricate business workflows to ensure Salesforce solutions are built for maximum efficiency.

Requirement Architecture: Translate high-level business needs into actionable technical artifacts: User Stories, Acceptance Criteria, and detailed process maps.

Cross-functional Alignment: Partner closely with Salesforce Developers, Admins, and QA teams to ensure the technical build stays true to the functional design.

Quality Assurance: Oversee User Acceptance Testing (UAT) to ensure the final delivery exceeds client expectations and quality standards.

What You Bring to the Team
English Mastery (C1): Exceptional verbal and written communication skills. You are persuasive, professional, and comfortable navigating daily interactions with international stakeholders.

Salesforce Expertise: 1.5–3 years of hands-on experience as a BA within the Salesforce ecosystem (knowledge of Sales, Service, or Experience Cloud data models is essential).

Enterprise DNA: A proven track record of working with large-scale Enterprise organizations, understanding their security needs and complex internal hierarchies.

Technical Documentation: Proficiency in creating structured assets, including Flow Diagrams, BRDs, and User Guides within an Agile/Scrum framework.

Value-Driven Mindset: A focus on business outcomes and product adoption rather than just ticket completion.

Why Join EverREST?
High-Ticket Projects: Gain experience working on massive, complex ecosystems for major international corporations.

Autonomy & Trust: We operate without micro-management. We hire experts and trust them to own their work and drive results.

Professional Delivery Culture: Enjoy a flexible schedule and a supportive, high-performance environment where initiative is genuinely rewarded.

Bizzabo, a leader in event technology, is looking for a strategic and highly analytical Revenue Operations Analyst in Ukraine to join our dynamic Revenue Operations Team. In this role, you will serve as a critical bridge between raw data and executive decision-making. You will be responsible for defining the analytical roadmap for our different GTM departments, ensuring that data is not just reported, but used as a competitive advantage to drive growth and efficiency.

We recognize that the best Revenue Operations talent often comes from diverse analytical paths. You are likely a strong match if you currently work in one of the following roles:

• Business Data Analyst: You are an expert at using complex SQL queries to uncover “The Why” behind the numbers, translating disparate datasets into analytical recommendations for leadership that will influence revenue decisions.
• Sales/Marketing Operations Analyst: You combine technical SQL mastery with deep CRM data knowledge to perform advanced analytics that optimize the B2B sales funnel and revenue predictability.

• Commercial BI Analyst: You are a SQL specialist who doesn’t just build “reports,” but architects sophisticated data models and dashboards to perform deep analytics on revenue and market trends.

   

Note on Fit: This is a Commercial Data & Strategy role. It is a great fit for those who love business strategy and deep analytics. It is not a fit for those focused on the SDLC, system analysis for software development, or writing technical requirements for engineering teams.

What You’ll Be Doing:

• Act as a dedicated strategic partner to GTM leadership (Sales, Marketing, and Customer Success) to provide the analytical support and insights needed to inform revenue decisions.
• Identify growth opportunities by analyzing CRM data to uncover actionable insights and resolve operational bottlenecks through end-to-end analytical project leadership.
• Encompass the full data lifecycle, from gathering requirements and designing complex data models with optimized SQL to architecting a scalable BI ecosystem in Looker that replaces manual reporting with sophisticated automation.
• Go beyond descriptive reporting and leverage modern AI-powered tools to accelerate your workflow.
• Uncover the underlying drivers of business performance and translate the data into clear narratives that inform decisions.
• Provide proactive insights and strategic recommendations based on key performance indicators.
• Continuously audit data quality and collection processes within the CRM to ensure a high-integrity, data-driven environment.

Required Experience & Skills

• Professional & Educational Background: 3+ years of experience as a Business/Data Analyst (preferably within a global SaaS or high-growth tech company) supported by a degree in Industrial Engineering, Statistics, Economics, or a related quantitative field.
• Technical Mastery:
• SQL Expert: Deep experience writing complex, optimized queries and working with modern data warehouses (e.g., Snowflake, BigQuery).
• BI Power User: Expert proficiency in Looker (LookML experience is a significant plus), Tableau, or similar enterprise BI tools.
• Data Manipulation: Advanced Excel skills for financial modeling and ad-hoc analysis.
• Business Acumen: Strong understanding of the SaaS business model and B2B sales funnels.
• Analytical Rigor: Proven ability to synthesize large, disparate datasets into clear, actionable business narratives.
• Communication: Fluent English with exceptional verbal and written communication skills. You must be able to explain technical concepts to non-technical business leaders.
• Cross-team collaboration: Strong communication skills and the ability to collaborate effectively with sales leaders and cross-functional teams
• Mindset: Highly independent, self-motivated, and excellent at multitasking to ensure management of multiple high-priority projects in a fast-paced environment while maintaining swift execution on daily tasks.

Preferred Qualifications

• Experience with AI-integrated analytics platforms or building automated workflows using AI agents.
• Familiarity with Salesforce, HubSpot and PlanHat data structures.
• Experience in fast-paced, SaaS, or startup environments.

Job Description

• Working knowledge of SQL, and data transformation.
• Understanding of data warehouses and business intelligence tools
• Have 2+ years of experience as a data analyst
• Problem-solving and analytical skills to troubleshoot data issues and technical challenges
• Good English skills

Nice to have:

• Experience with Looker
• Experience with dbt
• Experience writing analytical Python

Technologies:

• AWS
• Databases - Snowflake, Postgre, BigQuery
• DBT
• BI Tools - Looker, Tableau (optional)
• Metaplane
• Git

Job Responsibilities

• Model and analyze data
• Work on data quality validation
• Leverage various data warehouses, ETL tools and BI platforms for client projects
• Maintain deliverables, projects, and timelines for your client engagements
• Communicate findings clearly to a broad range of stakeholders
• Write SQL scripts to validate data in the data warehouse against the data in the source system(s); write SQL scripts to validate data surfacing in BI assets against the data sources
• Provide training and support to users, improving their experience with BI tools.

Department/Project Description

About client:
Our Client is the fast-paced digital healthcare company which creates the growing portfolio of online health communities for people with chronic conditions. Company’s mission is to improve patient’s quality of life by connecting them with each other, with caregivers and healthcare industry partners, building beneficial social interactions and meaningful health conversations. 

About project:
The core of the project is working with the data; the target is to re-design, transition to cloud and enhance data-driven solutions. The team is responsible for expanding and optimizing the data flow and data pipeline architecture, model and analyze data, interpret trends or patterns in complex data sets and translate them into product and marketing insights. 

About position:

The Data Analytics Engineer is responsible for bringing data from different data sources, modelling data with dbt, developing and performing data quality checks across all data assets. That includes ETL jobs, reports, dashboards, data pipelines and data applications. The primary goal for this role is to ensure high quality of data delivered to internal stakeholders and customers. 

Our client is a financial technology services provider dedicated to expanding global access to digital assets by building innovative solutions in the cryptocurrency ecosystem. Their products provide exchanges, liquidity solutions, and enterprise-grade integrations for clients worldwide. We are looking for a skilled Python/Data Analyst to help us translate complex financial and blockchain data into actionable insights and high-performance solutions.

In this role, you will be a core member of our engineering team, solving complex technical puzzles and building robust data models in a fast-paced environment.

What You'll Do

You will be a key builder in our data lifecycle, applying your technical expertise to optimize our core products. Your main responsibilities will include:

• Data Analysis & Modeling: Develop and maintain data pipelines and analytical models for our exchange and liquidity platforms using Python.
• Insight Generation: Translate complex financial concepts and large datasets into intuitive reports and actionable business insights.
• Collaboration: Work closely with product owners, backend engineers, and stakeholders to translate requirements into fully functional, enterprise-grade data solutions.
• Performance & Optimization: Optimize data queries and processing scripts for maximum performance and scalability, paying close attention to real-time crypto interfaces.
• Quality Standards: Write clean, testable, and efficient Python code, actively participating in code reviews and sprint planning.

Your AI & Automation Advantage

We believe AI is a powerful co-pilot for modern development. We’re looking for someone eager to use AI to supercharge their data analysis, automate repetitive tasks, and stay ahead of the curve.

Who You Are

You are a proactive, detail-oriented, and adaptable analyst who thrives in a fast-paced environment. You are:

• A Clear Communicator: You can effectively articulate complex technical decisions and data findings to both technical teammates and non-technical stakeholders.
• A Problem-Solver: You are self-motivated, resilient, and have strong critical thinking skills to tackle complex technical puzzles.
• A Tech Enthusiast: You have a curious mindset with a strong interest in (or passion for) blockchain, cryptocurrency, and financial technology.
• A Team Player: You value collaboration and feedback, contributing positively to the team's shared goals and engineering culture.

Qualifications

• English: Upper-Intermediate level or higher (both written and spoken).
• Experience: 3+ years of professional experience in data analysis or software development, with a strong focus on Python.
• Core Technical Skills:
  • Proficiency in Python and its data libraries (e.g., Pandas, NumPy).
  • Strong experience with SQL and managing complex databases.
  • Familiarity with RESTful APIs and real-time data communication (e.g., WebSockets).
  • Proficient with Git version control and collaborative workflows.
• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field (or equivalent practical experience).

We Offer

• Flexibility & Location: Offices in Ukraine and Poland (Wroclaw) with flexible working hours.
• Health & Wellness: Medical Insurance in Ukraine and Multisport program in Poland.
• Time Off: Paid vacation, sick leaves, and all official holidays.
• Professional Development: English classes up to three times a week, plus mentoring and educational programs.
• Support: Tax and accounting services for Ukrainian contractors.
• Equipment: The company provides all necessary high-end equipment.
• Culture: Regular corporate activities, including corporate parties, tech events, and an advanced bonus system.

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

We are currently looking for a Data Analyst for Spinlab.

Location: Remote
Job Type: Full-Time
 

About our client:
Spinlab: We help slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. We collect and process data using advanced methods and technologies to provide our clients with clear, actionablerecommendations based on real metrics. SpinLab’s goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results.

 

Responsibilities:

• Analyze large volumes of game and player data to identify patterns, trends, and dynamics, and turn them into clear business conclusions.
• Translate findings into practical recommendations for product improvements, highlighting what works, what doesn’t, and what opportunities to explore
• Perform deep-dive investigations into performance anomalies or game features to explain what happened and why
• Collaborate with game designers, product managers, and developers to shape hypotheses and validate them through experimentation.
• Support development and testing of predictive models (e.g., player LTV, churn, bonus optimization).
• Communicate complex insights in a simple, compelling way to both technical and non-technical audiences.
• Help define metrics frameworks for new products or features, expanding high-level requirements with your analytical thinking and product insights.
• Build dashboards and reports to help stakeholders monitor key KPIs and make data-driven decisions.

Requirements:

• 3+ years of experience as a Data Analyst or Data Scientist, preferably in the gaming or tech industry.
• Strong analytical mindset and ability to find the story in the data: uncovering trends and explaining them in clear business terms.
• Strong experience in SQL (BigQuery, PostgreSQL, or similar), and comfort working with large datasets.
• Solid knowledge of data visualization tools (e.g., Tableau, Power BI, Looker, or similar).
• Practical experience with Python for data analysis and modeling.
• Familiarity with statistical testing, experimentation, and predictive modeling techniques.
• University degree in mathematics / computer science / technology / engineering
• English B2+

Will be a plus:

• Knowledge of the iGaming industry or understanding of slot game mechanics
• Ability to look at games from players’ point of view.
• Product mindset: the ability to go beyond numbers and propose actionable solutions that make an impact.

Benefits:

• Work on meaningful data products and shape them with your vision.
• 25 vacation days + 15 sick days + 1 birthday leave.
• Budget for English classes.
• Budget for health insurance.
• Annual education & development budget.
• Flexible, remote-friendly culture with a small, dedicated team.

What’s next?

If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.

We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

About the role

We are a fast-growing Payment Service Provider (PSP) working in the high-risk fintech segment.

Right now, we are building a new unified payment platform, consolidating several existing systems into one scalable solution.

We are looking for a Business Analyst who will play a key role at the intersection of business, product, and engineering — translating complex payment processes into clear and actionable specifications.

 What you will do

🔹 Requirements & Documentation

• Gather business requirements from stakeholders (product, risk, compliance, merchants)
• Write clear specifications, user stories, and acceptance criteria
• Model business processes (BPMN 2.0, AS-IS / TO-BE)
• Maintain documentation (Confluence / Notion)

🔹 Payment Processes

• Describe and optimize payment flows:
  • authorization
  • settlement
  • refunds
  • chargebacks
• Analyze transaction routing logic (smart routing, waterfall)
• Support integrations with PSPs and acquirers (REST API)
• Participate in platform consolidation and migration

🔹 Collaboration

• Work closely with Product, Engineering, and QA
• Participate in Agile ceremonies (grooming, planning, demos)
• Align with compliance and risk teams (PCI DSS, AML/KYC)

• Prepare materials for internal teams and merchants

   

 Requirements

🔹 Must-have

• 3+ years as Business Analyst / Systems Analyst
• Experience in fintech / payments / banking
• Strong understanding of payment lifecycle
  (authorization → capture → settlement → reconciliation)
• Experience working with REST APIs (Postman / Swagger)
• BPMN / UML knowledge
• Experience with Agile / Scrum
• Strong English communication skills

🔹 Nice to have

• Experience with PSP / acquiring / PayFac
• Knowledge of ISO 8583 / ISO 20022
• Experience with chargebacks / disputes / rolling reserves

• Experience in platform migration projects

   

What we offer

• Work on a real fintech product in the high-risk domain
• Participation in building a scalable payment platform
• Close collaboration with product and tech teams
• Flexible work format (remote / hybrid)
• Opportunity to influence product decisions
• Professional growth in fintech

About the role

We are looking for a Senior Data Engineer / Data Analyst to become a key link between data and product decisions. You will work with transactional data from a payment platform, build reliable analytics infrastructure, and turn raw data into business insights for C-level and the product team. This role combines deep technical data work (pipelines, DWH, modeling) with product analytics (approval rate,
fraud patterns, A/B tests). The ideal candidate is equally comfortable writing optimized SQL queries and explaining complex patterns to a non-technical audience.

This role combines:

• data engineering (DWH, pipelines, modeling)

• product analytics (metrics, A/B tests, fraud patterns)

   

What you will do

🔹 Data Engineering

• Build and maintain DWH for transactional data
• Develop ETL/ELT pipelines (dbt / Airflow / scripts)
• Design data models (fact/dimension tables)
• Ensure data quality, monitoring, and performance optimization

🔹 Product & Business Analytics

• Analyze key metrics:
  • Approval / Decline Rate
  • Chargebacks / Refunds
  • Fraud patterns
  • PSP performance
• Build dashboards (Metabase / Tableau / etc.)
• Run A/B tests and analyze product changes
• Deliver insights to product and leadership

🔹 Routing & Fraud Analytics

• Analyze routing efficiency
• Identify fraud patterns (velocity, geo, BIN)
• Propose improvements for routing logic

🔹 Collaboration

• Translate business needs into data solutions
• Communicate insights clearly to non-technical teams

• Proactively identify anomalies and opportunities

   

Requirements

🔹 Must-have

• Strong SQL (complex queries, optimization)
• Experience with PostgreSQL / ClickHouse / BigQuery
• Python for analytics (pandas, numpy)
• Experience with dbt / Airflow (or similar tools)
• Experience with BI tools (Metabase, Tableau, etc.)
• Understanding of A/B testing and statistics
• 3+ years in Data Analyst / Data Engineer role
• Experience with transactional / financial data

🔹 Nice to have

• Experience in fintech / PSP / acquiring
• Fraud analytics experience
• Kafka / streaming
• Understanding of PCI DSS / GDPR

What we offer

• Work with real transactional data from a payment platform — challenging and rewarding
• Direct influence on product decisions through data
• Modern stack: ClickHouse / BigQuery, dbt, Python, Airflow
• C-level access — your insights go directly to leadership
• Flexible work format: Remote / Hybrid
• Competitive compensation + salary review every 12 months
• Budget for education and conferences (Data Engineering, Payments)
• A team with deep fintech and high-risk vertical experience

We are looking for a highly skilled Data / Analytics Engineer to take ownership of our analytics layer across a modern DTC and subscription-based business.

This role sits at the intersection of data engineering, analytics, and business decision-making. You will be responsible for ensuring data accuracy, defining key metrics, and translating complex datasets into actionable insights used across product, marketing, and leadership.

Key Responsibilities

• Design, build, and maintain scalable data models across multiple sources (Shopify, Stripe, App Store, Amazon, etc.)
• Develop and optimize SQL queries (CTEs, window functions, multi-source joins, deduplication)
• Build and maintain dashboards (Grafana or similar) for real-time and operational monitoring
• Define and standardize key business metrics (LTV, cohorts, churn, ARPU, refill rates)
• Ensure data consistency across systems, including handling returns, fulfillment lag, and edge cases
• Work with ELT pipelines (e.g. Fivetran) and understand data ingestion and transformation flows
• Collaborate with product, marketing, and leadership teams to translate data into decisions
• Support investor/board-level reporting and be able to clearly explain and defend metric definitions

Requirements

• Strong SQL skills (advanced queries, performance optimization)
• Experience with data warehouses (Redshift, Snowflake, BigQuery, or similar)
• Experience building dashboards (Grafana, Tableau, Looker, or similar)
• Familiarity with Shopify, subscription models (Recharge), and eCommerce data structures
• Solid understanding of DTC metrics (LTV, retention, churn, cohort analysis)
• Experience working with ELT tools (Fivetran or similar)
• Strong analytical thinking and ability to work with imperfect data
• Ability to communicate insights clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with subscription businesses or recurring revenue models
• Background in product analytics or growth analytics
• Experience with event tracking tools (Segment or similar)
• Experience with Python or data transformation frameworks (dbt, etc.)

What We’re Looking For

We are not just looking for someone who can build dashboards — we are looking for someone who can own the metric layer.

You should be comfortable answering questions like:

• How should LTV be defined for this business?
• What is the correct way to count a “customer”?
• How do returns and fulfillment delays affect revenue reporting?

This role requires both technical depth and strong business judgment.

Engagement

• Flexible: full-time or part-time
• Remote-friendly

At A-Players, we are looking for a Marketing Data Analyst with experience in performance marketing analytics and web products. In this role, you will work with large-scale advertising data, develop and maintain attribution models, and evaluate the effectiveness of marketing channels to drive revenue growth.
 

We need a professional who is not only technically skilled, but also excels at data analysis, insight generation, and translating complex data into actionable recommendations that impact business decisions.

‍

Responsibilities:

• Marketing Attribution: Build and maintain attribution models, including working with MMP data.
• Channel Performance: Analyze the effectiveness of advertising channels (Facebook Ads, Google Ads, etc.).
• Billing Analytics: Analyze payment data, monetization funnels, and conversion rates across PSPs.
• A/B Testing: Design experiments, perform statistical analysis, and interpret results.
• Automation: Develop and maintain Airflow DAGs, write Python scripts for data analysis and processing.‍

• BigQuery: Write complex SQL queries, optimize performance, and conduct data exploration.

   

What we look for:

• 2+ years of experience as a Marketing Data Analyst / Growth Analyst / Performance Analyst.
• Experience working with attribution data.
• Experience analyzing advertising channels such as Facebook Ads and Google Ads.‍
• SQL (advanced): window functions, CTEs, complex joins, query optimization.‍
• BigQuery: experience working with large-scale datasets, understanding of partitioning and cost optimization.‍
• Python: scripting for data analysis, automation, and data processing.‍
• Marketing Attribution: understanding of attribution models, experience with MMPs (AppsFlyer or Adjust).‍

• A/B Testing: strong statistical thinking and ability to correctly interpret results.

   

Nice to have:

• Airflow: writing and maintaining DAGs.
• dbt: working with data models.
• Billing/PSP data: experience working with systems like Stripe, PayPal, Primer.‍

• MMM (Media Mix Modeling): basic understanding.

   

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.