Jobs Data Analyst

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 the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board.
 

About the Role

As a Junior Technical Analyst, you’ll dive into Solidgate’s payment platform and help businesses integrate and run their payment flows smoothly. This role gives you hands-on experience at the intersection of technical operations and product — working with our technical and business teams to resolve issues and improve the payment experience for businesses worldwide.
 

What you’ll own

• Analyzing incoming client requests and finding effective solutions
• Collaborating closely with product and technical teams inside the company
• Communicating with client representatives to resolve technical issues related to our product
• Working with product documentation and keeping it up to date
   

You’re a great fit if you have

• Bachelor’s in Applied Mathematics / Systems Analysis / Software Engineering / related field (completed or in progress)
• Excellent written and verbal communication skills
• English proficiency at Upper-Intermediate level or higher
• Knowledge of SQL
   

Nice to have

• Self-starter — you can own your projects and take full responsibility for your area
• Practical experience with Postman and Python
   

Work schedule

• Work week runs Sunday through Thursday.
   

Why Solidgate?

• No internships here — we build careers. Get hands-on from day one and make a real impact.
• Enjoy the ride. A wow office in Kyiv center, daily lunches, snacks, team buildings, and a learning budget to keep you growing.
• Flex your schedule. Balance studies and work with flexible hours that fit your life.
• Your work = real outcomes. Shape how global companies move money.

💌 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.

The Defense Procurement Agency (DOT) is a national agency responsible for procuring ammunition, UAVs, military equipment, fuel, food, clothing, and other critical supplies for the Armed Forces of Ukraine and the Defense Forces.

Our mission: Strengthening Ukraine by ensuring reliable support for the Defense Forces while fostering the development of the national defense industry.

Our vision: To become the driving force behind the transformation of Ukraine's defense procurement ecosystem—not only operating the system, but continuously improving it.
 

We are looking for a BI Analyst / BI Developer to help turn data into actionable insights, develop BI solutions, and provide teams with reliable analytics to support informed business decisions.

Responsibilities

• Build and maintain BI solutions, from data sources to dashboards and reports.
• Analyze business needs, explore data, and translate stakeholder requests into effective analytical solutions.
• Develop and optimize data models, Power BI reports, and SQL queries.
• Improve and evolve our analytics infrastructure using modern data tools and approaches.
• Work with dbt and Airflow to build and maintain analytical workflows.
• Ensure data quality and contribute to monitoring processes and early detection of data issues.
• Review existing BI solutions, identify weaknesses, and propose improvements.

• Collaborate with business and technical teams to ensure that analytical solutions meet users’ needs and support decision-making.

   

Requirements

• At least 1 year of experience in BI, business analytics, or data analytics.
• Hands-on experience with Power BI and SQL, including report and query optimization.
• Understanding of data modeling principles and how to build high-quality data models.
• Experience building end-to-end BI solutions, from data sources to dashboards.
• Understanding of modern approaches to analytics infrastructure and data workflows.
• Experience working with dbt and Airflow.
• Understanding of data quality assurance and monitoring principles.

• Strong analytical thinking, attention to detail, and the ability to investigate problems independently and find solutions.

   

We’d also love to work with someone who:

• Enjoys exploring new challenges and learning about unfamiliar business domains.
• Is comfortable tackling problems where not everything is clear from the start.
• Is curious, asks questions, and enjoys investigating data and testing hypotheses.
• Communicates effectively with people without a technical background.
• Can propose multiple approaches to a problem and explain why one solution is better in a given context.
• Takes ownership of outcomes, not just individual tasks.
• Wants to understand how the business works and how data can improve decision-making.
• Is eager to improve existing solutions, identify gaps, and suggest meaningful enhancements.

What We Offer

• Meaningful work that directly contributes to strengthening Ukraine's defense capabilities.
• Official employment with competitive salary and full social benefits.
• Professional development, learning opportunities, and career growth.
• Structured onboarding and dedicated mentorship.
• A collaborative, supportive, and mission-driven team.
• Modern office near the metro with reliable internet and equipped shelter.

By joining our team, you will contribute to one of Ukraine's largest digital transformation initiatives in the defense sector and help build the future of defense procurement.

Ready to make a real impact? We'd love to hear from you. Apply today!

* By submitting your CV, you consent to the processing of your personal data in accordance with applicable legislation.

** Due to the high volume of applications, only candidates whose qualifications best match the position will be contacted.

N-iX is a software engineering company with around 2,400 engineers. We were founded in Lviv in 2002, we are headquartered in Malta, and we work with clients across the US, the UK, and the DACH region. We help enterprise technology leaders build and modernize software, data, cloud, and embedded systems, and we position ourselves as a Pragmatic AI Software Engineering partner.

Our go-to-market is inbound-led. Most of our new business starts on our website, and our business development team is small. That means marketing data is not a reporting exercise for us. It is how the company decides where to invest.

Why this role exists

We need one person who owns the numbers behind marketing and turns them into decisions. You will connect website behavior, channel performance, and pipeline outcomes into a single view, explain what is driving change, and recommend what we should do next.

You will work directly with the CMO and present to the N-iX leadership team. The work you produce will shape budget allocation, channel strategy, and the annual marketing plan. You will partner with paid search, organic search and content, ABM and events, and brand and PR leads in the marketing team to set targets and measure results. You will also collaborate with  Sales, Business Development, Finance, and Delivery to align on pipeline definitions and shared metrics

What you will do:

Pipeline and performance analytics

• Own marketing pipeline reporting from first visit to qualified opportunity and closed revenue.
• Analyze performance by channel, campaign, content asset, region, and persona, and identify which activities produce qualified pipeline from our ICP (CTO, CIO, and VP Engineering buyers at companies with 500+ employees).
• Separate pipeline volume from pipeline quality, and track conversion and velocity at each funnel stage.
• Build and maintain the weekly qualified pipeline view used in leadership meetings, with written commentary that explains the movement, not only the figures.
• Run quarterly reviews of channel mix and spend efficiency, and propose where to shift budget.

Web and digital analytics

• Treat the website as our primary revenue channel. Measure and improve how visitors move from landing page to conversion.
• Act as the team's GA4 expert, and keep website tracking accurate as the site and campaigns change.
• Track paid search, organic search, ABM, events, and social performance in a consistent framework so the team can compare channels fairly.
• Design and analyze experiments on pages, forms, and campaigns, and report results with clear confidence levels.

Modeling and forecasting

• Use statistical methods such as segmentation, regression, and predictive modeling to find patterns in large marketing and sales datasets.
• Build pipeline and lead volume forecasts using coverage ratios and cohort-based methods to support quarterly planning.
• Develop and maintain an attribution approach that fits a long, multi-touch B2B buying cycle. Explain the trade-offs between models, such as first-touch and last-touch, so stakeholders understand what the numbers can and cannot tell them.

KPI governance and data quality

• Own the reporting data model that joins CRM, web analytics, and ad platform data in our warehouse.
• Build data quality checks and reconciliation steps that catch anomalies before they reach a dashboard.
• When data is wrong, find the cause at the source and fix it with the system owner, rather than patching the report.
• Work with data engineering, sales operations, and IT to keep tracking, CRM data, and reporting accurate and current.

Storytelling and leadership reporting

• Explain why performance changed, in plain language, for executives, marketers, and sales leaders.
• Build dashboards and visuals that make trends easy to read at a glance.
• Frame every insight against company goals: what it means, what the risk or opportunity is, and what you recommend.

Automation, AI, and self-service

• Use AI tools such as Claude as a default part of how you query, model, analyze, and document, not as an occasional experiment.
• Automate recurring reports so your time goes to analysis, not assembly.
• Build self-service reporting so the marketing team can answer routine performance questions without a custom request.

What you bring

Required:

• 5+ years in professional analytics, including 3+ years in marketing or revenue operations at a B2B SaaS, technology services, or IT consulting company.
• English level - Upper Intermediate or higher
• Proven track record of presenting insights through storytelling to senior leaders and driving decision-making changes.
• Strong SQL and working proficiency in Python or R, with applied statistics experience such as predictive modeling or causal inference.
• Advanced GA4 experience, plus hands-on experience with a CRM (Salesforce preferred) and paid media platforms (Google Ads, LinkedIn Ads).
• Working knowledge of the CRM object model (leads, contacts, accounts, opportunities, campaigns) and how funnel metrics map onto it.
• Fluency in B2B funnel metrics such as MQL to Target Opportunity conversion, pipeline velocity, and ACV, and an understanding of why each one matters.
• Experience building dashboards in a BI tool (Power BI, Looker, Looker Studio, or similar).
• Daily use of AI tools in analytical work, with sound judgment about when to trust and when to check the output.
• Experience with B2B funnels with long sales cycles and multiple stakeholders on the buying side.
• A degree in a quantitative field such as Statistics, Mathematics, Economics, Operations Research, or Data Science.

Nice to have:

• Experience with incrementality testing in B2B, such as holdout or lift tests on paid search and LinkedIn, and an understanding of where methods like media mix modeling do and do not apply at lower data volumes.
• Experience building dimensional data models (star or snowflake schemas) in a cloud data warehouse such as BigQuery or Snowflake.
• Python for automation and data quality scripts.
• Experience with intent data, sales engagement, or conversation intelligence platforms.
• Familiarity with SEO tools (Ahrefs, Google Ads, Google Search Console) and behavior analytics (Microsoft Clarity or similar) 
• Familiarity with marketing automation platforms and how data gets distorted at the point of capture

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About Us
 

We're building a wellness ecosystem to help people establish healthier habits. Our roadmap for the next year includes 10 new mobile apps, supplement brands, a fitness band, and a ring.
 

Our team has already built a profitable mobile app business in the utility sector, and now we’re applying our experience to the health and wellness niche. Supported by an established international business group with over 25 years of experience in the digital sector, we're combining the stability of a mature business with the speed and ownership of an early-stage team.
 

We're developing our products from the ground up and growing our team in the areas of product development, marketing, data analysis, creative design and engineering.
 

If you're excited by the opportunity to shape products from their earliest stages, make an impact through your work, and grow alongside the business, we'd love to meet you!

About the Role

Mission

Build a data-driven product development process by defining, tracking, and analyzing key metrics across the entire user journey.

Key Challenges

Establish scalable analytics frameworks, standardized reporting, and reliable data instrumentation across multiple mobile products.

Team

You'll work closely with Product Managers, Marketing, and Engineering, serving as the primary analytics partner for our mobile apps.

What You'll Do

• Partner with Product Managers and Marketing to define, track, and analyze key metrics across the entire user journey — from pre-install acquisition to monetization,
• Build and maintain scalable analytics frameworks across multiple Android and iOS applications, ensuring consistent data quality and consistent metric definitions,
• Lead data instrumentation by defining tracking requirements, event structures, and implementation standards across all products,
• Create and maintain dashboards using Looker, Tableau, Mixpanel, or similar tools to enable data-driven decision-making across Product, Marketing, and leadership,
• Measure and analyze the impact of product features, onboarding flows, AI-powered functionality, and marketing campaigns on acquisition, engagement, retention, and monetization,
• Own analytics for a portfolio of mobile products while documenting and standardizing metric definitions and reporting frameworks.

What We're Looking For

• 5+ years of experience as a Data Analyst, Product Analyst, or in a similar analytics role,
• Advanced SQL skills with experience working with large-scale datasets,
• Strong proficiency with data visualization tools such as Tableau, Looker, Power BI, or similar,
• Experience using Python or R for statistical analysis, automation, and data modeling,
• Experience with LTV and revenue forecasting,
• Strong understanding of advertising monetization, product analytics, web analytics, and subscription-based business models,
• Experience with database design and UML diagrams,
• Understanding of data warehousing concepts and analytics engineering tools such as dbt,
• English level C1 or above.

Nice to Have

• Experience in the Health & Wellness, mobile apps, or subscription-based products domain,
• Experience working in an early-stage product environment,
• Familiarity with AI tools and automation.

What We Offer

• Competitive base salary based on your experience, with the opportunity to discuss a performance bonus after successfully completing the probation period,
• Fully remote work with a flexible schedule aligned with the European time zone,
• The opportunity to join us at an early stage and help shape both our products and the way we work,
• High ownership, autonomy, and direct influence on product decisions,
• A fast-moving, collaborative environment with minimal bureaucracy,
• Work alongside experienced Product, Marketing, Data and Creative professionals while building products for a global audience,
• Potential relocation support, discussed individually.

Hiring Process

1. Intro Call with Talent Acquisition Manager (1 hour),
2. Test Assignment,
3. Final Interview with the Strategic Director (30–45 min),
4. Offer 🎉.

Ready to Make an Impact?

We'd love to hear from you.

Our customer is a global, full-service e-commerce and subscription billing platform that helps SaaS, digital goods, and subscription-based businesses sell worldwide. For nearly two decades, the company has supported business growth by managing payments, global tax compliance, fraud prevention, and recurring revenue at scale. Data plays a central role in the company’s decisions and operations. As the customer builds its next-generation data platform, you will help maintain and improve reporting solutions that business teams rely on every day.

You will maintain, troubleshoot, and develop Power BI reports and semantic models, working with DAX calculations and data available through Snowflake. Finance will be your primary business domain, including reporting that supports month-end closing and other financial processes.

The role combines hands-on development, data investigation, and collaboration with business stakeholders. You will receive technical and domain support during onboarding and gradually take ownership of reporting requests and day-to-day Power BI tasks.

Responsibilities:

• Maintain, troubleshoot, and develop Power BI dashboards, reports, semantic models, DAX measures, and calculated columns.
• Investigate data discrepancies, refresh behaviour, and reporting inconsistencies using SQL and Snowflake.
• Help Finance stakeholders understand report calculations, transformations, and the sources of reported values.
• Support reporting for month-end closing and other Finance processes, while contributing to other business reporting needs as priorities evolve.
• Clarify requirements, expected outcomes, and acceptance criteria with business stakeholders before implementation.
• Test and validate reports together with Finance stakeholders and the Data Quality Engineer.
• Document reporting logic, changes, and relevant data dependencies.
• Collaborate with Data Engineering and platform owners to resolve issues originating outside Power BI.
• Participate in the team’s Jira-based Scrum delivery process.

Requirements:

• 1+ year of practical Power BI experience, including report development, visualisations, filters, relationships, and semantic models.
• Good knowledge of DAX, including measures and calculated columns.
• Good knowledge of SQL, including joins, aggregations, and CTEs, with the ability to investigate underlying data independently.
• Understanding of relational and dimensional data concepts, including tables, keys, relationships, data types, and basic star-schema modelling.
• Understanding of Power BI connectivity modes—Import, DirectQuery, Live Connection, and Composite models—including their trade-offs and the specifics and limitations of Live Connection.
• Ability to investigate reporting discrepancies, refresh behaviour, and data dependencies.
• Strong attention to detail and a habit of validating results before sharing them with business users.
• Ability to communicate with business stakeholders, ask clarifying questions, and translate requirements into reporting changes.
• Willingness to learn Finance metrics, reporting needs, and business processes.
• Upper-Intermediate English or higher for collaboration with English-speaking stakeholders.

Nice to have:

• Experience with Snowflake.
• Exposure to financial reporting or analytics.
• Familiarity with Jira, Agile, or Scrum.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

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

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

🔹 Key Responsibilities:

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

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

   

🔹 Requirements:

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

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

   

🔹 What We Offer:

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

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

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

What do we guarantee?

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

Job Description:
Join our PwC team to collaborate on projects for some of the world's most recognized companies. As a Power BI Developer, you will design and maintain interactive dashboards and reports, transform business requirements into data-driven solutions, and support analytics initiatives using Power BI, Microsoft Fabric, and related Microsoft technologies.

Key Responsibilities:

• Develop and maintain Power BI reports and dashboards.
• Analyze business requirements and transform them into effective BI solutions.
• Create and optimize data models using DAX, Power Query, and Data Modelling.
• Work with Microsoft Fabric and Fabric Dataflows to support reporting and analytics processes.
• Develop and optimize SQL queries for data extraction and transformation.
• Collaborate with analysts and developers to deliver BI solutions.
• Present insights and reporting results to stakeholders.

Core Requirements:

• English level: B2 or higher.
• Ability to create interactive reports and dashboards.
• Strong knowledge of DAX, Power Query, Data Modelling, and Row-Level Security (RLS).
• Experience working with Microsoft Fabric and Fabric Dataflows. Knowledge of SQL.
• Ability to analyze business requirements and transform them into effective BI solutions.
• Strong problem-solving and process optimization skills.
• Ability to work effectively in a team and collaborate with analysts and developers.
• Ability to clearly present and communicate results.
• Result-oriented mindset with strong attention to detail.
• Ability to work in a dynamic environment.

Would Be a Plus:

• Experience with Databricks.
• Experience with SharePoint Online and SharePoint Lists.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

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.

As a Senior Data Analyst, you will drive data-informed decision-making across product, marketing, and business domains. You will work closely with stakeholders, uncover actionable insights, influence strategic decisions, and help shape the analytical infrastructure and processes within the company.

Requirements
- Experience in iGaming, traffic analytics, or other product verticals
- 3+ years of experience as a Product/Data Analyst or in a similar role
- Strong practical knowledge of SQL (CTEs, window functions) and Excel
- Practical experience with BI tools (Power BI or similar)
- Ability to work with large datasets and collect, organize, and analyze large volumes of data
- Strong analytical thinking and attention to detail
- Strong communication and collaboration skills, with the ability to clearly present insights to business stakeholders
- Ability to work independently in a dynamic environment

Responsibilities
- Analyze player behavior, product, and marketing metrics to support business decisions
- Perform ad-hoc and exploratory analysis based on business requests
- Identify trends, patterns, and key drivers behind metric changes
- Work with large datasets using SQL and optimize analytical queries
- Collect, prepare, and validate data from multiple sources for analysis and reporting
- Build and maintain analytical reports and dashboards in Power BI
- Collaborate with business teams (Product, Marketing, CRM) on data requirements and analytical insights

Nice to Have
- Experience with SoftSwiss and/or TrueLabel
- Experience using Python for data analysis and forecasting

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
   

This role is for an experienced Product Analyst with a strong background in product analytics, experimentation, and data-driven decision-making. You will be responsible for defining product success metrics, analyzing user behavior and A/B test results, uncovering actionable insights, and collaborating cross-functionally to optimize acquisition, retention, and trading experiences while supporting business growth.
Explore opportunities at JustMarkets and become a part of our team of professionals!

Responsibilities

• Partner with Product Leads (Acquisition, Retention, Trading) to define success metrics and KPIs for new features and product roadmaps
• Design, document, and oversee the implementation of tracking plans (event taxonomy)
• Analyze A/B test results, providing clear recommendations on whether to roll out, iterate, or kill a feature based on statistical evidence
• Create and maintain executive-level dashboards and granular product-level reports
• Conduct complex research (e.g., "How does using the CopyTrading feature in the first 7 days impact 90-day retention?")

Requirements

• 3+ years of experience as a Product Data Analyst, ideally within FinTech, Trading, GameDev, or high-transaction B2C digital products
• Advanced proficiency in SQL (complex joins, window functions, query optimization) and hands-on experience with Data Warehouses (BigQuery, Snowflake, Redshift)
• Strong experience with Product Analytics and event tracking platforms (such as Amplitude, Mixpanel, GA4, Firebase Analytics) as well as BI visualization tools (Tableau, Looker, PowerBI, Superset, or similar)
• Solid understanding of statistics specifically for A/B testing (hypothesis testing, p-values, statistical significance, minimum detectable effect)
• Experience using Python or R (Pandas, SciPy, Jupyter) for deeper statistical analysis, cohort modeling, or predictive analytics
• Proven ability to design and govern product event tracking architecture from scratch

Will be a plus

• Domain knowledge in CFD trading, Crypto exchanges, or traditional brokerage businesses
• Experience with Data Engineering concepts and tools (dbt, Airflow) to build your own data pipelines
• Familiarity with mobile attribution platforms (AppsFlyer, Adjust) and deep-linking analytics

We offer

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

We are looking for a Data Analyst to take ownership of regular and clear analytics. The primary focus of this role is the efficient extraction of data from corporate databases and its visualization using Power BI.

This position involves executing clearly defined dashboard-building tasks, without involvement in deep ad-hoc research or testing product hypotheses.
 

📋 Key Responsibilities:

• Formulate and execute complex SQL queries to extract and prepare data from relational databases.
• Develop, deploy, and maintain analytical dashboards in Power BI.
• Perform data modeling in Power BI and create calculated metrics and indicators using DAX.
• Automate report refresh processes and ensure data accuracy and timeliness.
• Collaborate with cross-functional teams to clarify requirements regarding report structure and format.
   

⚙️ Qualifications & Requirements:

• Strong SQL proficiency: writing complex queries, working with aggregations, JOINs, subqueries, and window functions.
• Hands-on experience with Power BI: building reports from scratch, configuring table relationships, and intermediate DAX knowledge.
• Understanding of database design principles and query optimization.
• Knowledge of Data Visualization Best Practices to build intuitive and user-friendly reports.
• High attention to detail and accountability for the accuracy of calculated metrics.
   

🎁 What We Offer:

• Format: Remote work, 5/2 schedule.
• Payments: In USDT.
• Remuneration: Competitive salary + bonuses based on the results of the department you build.
• Growth: Opportunity for growth within the project.
• Benefits: Paid vacation and sick leave.

ICONIC21 is expanding its Risk & Fraud team and is looking for a Junior Risk & Fraud Analyst.

We develop innovative solutions for the Live Casino industry and are looking for a motivated specialist who wants to grow in the fields of analytics, antifraud, and user behavior analysis.

In this role, you will participate in fraud investigations, analyze game mechanics and player activity, detect suspicious behavior patterns, and contribute to the improvement of existing antifraud solutions and monitoring systems.

Requirements
 

• Higher education in mathematics, statistics, computer science, or another technical field.
• Strong Microsoft Excel skills.
• Intermediate level of English.
• Analytical mindset and attention to detail.
• Ability to work with large volumes of data.
• Basic programming skills (Python/R would be a plus).
• Basic SQL knowledge.

Responsibilities
• Analyze game mechanics and user behavior. 
• Detect suspicious and anomalous patterns. 
• Participate in the automation of monitoring and analytical processes. 
• Perform statistical checks and data analysis. 
• Prepare reports and visualizations for internal teams. 

Nice to have
 

• Experience in the iGaming industry.
• Knowledge of fraud detection methodologies and risk analysis principles.
• Understanding of RTP, GGR, player behavior analysis, or anomaly detection.
• Interest in cybersecurity, integrity, and antifraud systems.
• Experience in data analysis or fraud detection would be an advantage

Working conditions
- Full-time, office-based position in Kyiv
- Night shifts only (schedule provided upon request)
- Includes weekends and public holidays on a rotating basis

• 21 working days of paid vacation per year.
• 15 paid sick days per year.
• Flexible working hours.
• Opportunity to grow in the Risk & Fraud field within an international iGaming company.
• Work in a team that values initiative, analytical thinking, and new ideas.
• Supportive and dynamic international environment.

We're Hiring: Data Analyst — Product & Marketing Analytics | Remote
We're looking for a hands-on Data Analyst to help drive product and marketing decisions for a B2C iGaming business.
This role combines product analytics, marketing performance, unit economics and data reliability. We're looking for someone who can work independently with raw transactional data, build reliable reporting from scratch, and turn analysis into clear business recommendations.
What you'll do
• Own weekly reporting across GEOs, including registrations, FTDs, deposits, withdrawals, GGR/NGR, bonus rate and active players.
• Analyse acquisition sources, affiliate caps, FTD cost, LTV and cohort-based traffic payback.
• Evaluate bonus and CRM campaign economics, including A/B tests and control-group analysis.
• Work with event and historical data across Kafka, ClickHouse and Athena/S3.
• Build and maintain Grafana dashboards and monitoring.
• Reconcile internal metrics with platform reports, investigate discrepancies and validate data completeness.
• Present actionable recommendations to Product and leadership: what to scale, optimise or stop, and what impact to expect.
What we're looking for
• 3+ years of experience in product or marketing analytics in a B2C business.
• Strong SQL skills, including complex queries, window functions, cohort analysis and query optimisation.
• Hands-on experience working with raw event and transaction data and building reporting from scratch.
• Practical experience with ClickHouse, Athena/S3, Kafka and Grafana.
• Strong understanding of unit economics, LTV, retention, acquisition cost and bonus economics.
• Working knowledge of Python/pandas for data processing and automation.
• Ability to communicate findings clearly and translate data into business decisions.
Experience in iGaming or betting is a strong plus, particularly familiarity with GGR, NGR, bonus rate and the registration → first deposit → repeat deposit funnel. Candidates from fintech, e-commerce and mobile gaming with relevant transactional analytics experience are also welcome.
What we offer
• Fully remote work.
• Working hours: 9:00–18:00.
• Preferred time zones: UTC+2 to UTC+6.
• Compensation: 2,000–3,000
• Growth opportunities towards Lead Analyst, with ownership of the brand's reporting and data warehouse, and potential to build an analytics team as the business expands.

About the Role

LiftIQ is looking for a Senior Analytics Engineer / BI Product Engineer to build the
reporting and analytics products our teams use to run the business.
This is not a traditional BI role where stakeholders provide specifications and you simply
build dashboards. We need someone who can understand the underlying business
problem, determine what users actually need, and turn ambiguous requests into accurate,
actionable analytics.

Often, the best solution will be different from what was originally requested. You should be
comfortable challenging requirements, identifying insights users did not know to ask for,
and designing reports that help people make decisions—not simply giving them more data.
This is also a highly technical full-stack analytics role that blends analytics engineering
with BI product engineering. You will work across BigQuery, dbt, TypeScript, Next.js, and
React, using Claude Code extensively to accelerate development.

Data correctness is critical. Wrong numbers are worse than crashes.
You will own the accuracy, reliability, and usability of LiftIQ’s reporting products
end‑to‑end—from data modeling and metric definitions to dashboard experience and
permissions.

What You’ll Do
• Work directly with stakeholders to understand business questions and translate
them into useful analytics products.
• Design metrics, reports, dashboards, and visualizations that surface actionable
insights.
• Write sophisticated BigQuery SQL and build/extend dbt models,data marts and
dimensional models (facts, dimensions, semantic layers)
• Reconcile reporting against source systems and investigate data discrepancies.
• Build dashboards end-to-end across the data layer, semantic layer, application
layer, permissions, and automated tests.
• Use Claude Code heavily while maintaining ownership of the underlying
architecture, logic, and data correctness.
• Protect sensitive financial and compensation data through rigorous server-side
access controls.
• Write automated tests for metrics, business rules, and permissions.
• Document business logic, metric definitions, and data models to ensure clarity and
consistency across teams
What We’re Looking For

• Essential
  Exceptional SQL skills
• Deep experience with analytical SQL, including complex joins, window functions,
• attribution, aggregation, data grain, reconciliation, and performance. BigQuery experience
• is strongly preferred.
• Strong analytical and business judgment
• You can understand what decision a stakeholder is trying to make, determine which
• metrics matter, and design something more useful than simply fulfilling the original
• request.
• Strong requirements-gathering skills
• You are comfortable working directly with business users, asking the right questions,
• understanding unfamiliar processes, and turning ambiguity into a clear solution.
• dbt experience
• Experience using dbt in a high-scale production data environment. Experience with
• dimensional modeling, semantic layers, and metric governance.
• Data skepticism
• You instinctively validate, reconcile, spot-check, and investigate. You should be
• uncomfortable shipping a number you cannot explain.
• Testing discipline
• Experience building testable analytics logic and automated tests for metrics and business
• rules. Experience with version control, PR hygiene, and modular analytics engineering
• practices.

• English: strong working proficiency (B2+), with the ability to communicate directly with business stakeholders and gather requirements.

   

Nice to Have
• Performance or affiliate marketing experience, including CPL, CPA, EPC, ROAS, and
media-buying economics
• Experience with platforms such as Everflow, Ringba, RedTrack, Voluum,
LeadProsper, or HubSpot
• GCP / Cloud Run / Cloud Scheduler / Cloud Build
• Python ETL and API integrations
• Payroll or commission systems experience
• Claude API or other LLM application development
• Interactive data visualization
• Playwright / E2E testing
Tech Stack
Data: BigQuery, dbt, Python ETL, Google Sheets
Application: Next.js 14, TypeScript, React, Tailwind, NextAuth, Neon Postgres
AI: Claude Code, Claude API
Testing: Vitest
Infrastructure: GCP, Cloud Run, Cloud Scheduler, Cloud Build, Docker
What Success Looks Like
A strong person in this role becomes someone the business brings problems, not
dashboard specifications.
If someone says, “I need to understand why this buyer’s margins dropped,” you should be
able to understand the business context, interrogate the data, identify the relevant metrics
and potential causes, and build something that makes the answer clear.

You should be equally comfortable debugging a subtle SQL grain issue, talking with a
stakeholder about how their business works, and using Claude Code to turn the resulting
solution into a production dashboard.

This is a full-stack analytics role, but the hardest part of the job is data correctness,
modeling discipline, and analytical judgment—not frontend development.
Success also means stakeholders trust your numbers without hesitation, dashboards
become decision tools rather than data dumps, and metric definitions remain consistent
across teams.

About the Engagement:

A large international organization is setting up a new Strategic Initiatives team. C-level stakeholders give it specific questions, and the team analyzes data quickly to form a clear point of view. For example, two large programmes that run separately today (such as IT change and risk remediation) may need a recommendation on how they should work together.

Overview:

You’ll own the data side of the Strategic Initiatives team. You’ll connect sources, set the factual baseline for each initiative, and answer questions quickly and repeatably. You’ll work side by side with the Business Analysts and bring the evidence into war-room sessions with senior stakeholders.

Responsibilities:

Build the analytic sandbox: help set up and run the sandbox, connecting it step by step to sources such as ERP and MI data warehouses, one use case at a time.

Set baselines: establish the data baseline for each initiative so everyone works from the same facts.

Answer fast, reuse often: run standard queries or write new ones, and save them as documented, reusable assets.

Support decisions live: bring the right data into war-room sessions to form and prioritize hypotheses.

Validate hypotheses: test them with further data and state plainly what the evidence shows.

Support the write-up: provide accurate analysis and clear visuals for executive-level findings.

Must-Have:

10–15 years of relevant experience with a track record of hands-on delivery

Strong hands-on data analysis: querying, joining and cleaning data from enterprise sources (SQL)

Experience with data from ERP systems and MI data warehouses, including budgets, forecasts and spend

Ability to turn data into clear insight for senior, non-technical readers

Care for quality: checking results, documenting queries and making them reusable

Advanced English; able to work from the Krakow office 3 days a week

Nice-to-Have:

Experience with SAP or Oracle ERP finance data (GL, cost centres, spend)

Python or R for analysis

Power BI, Tableau or advanced Excel for executive visuals

Experience setting up analytic sandboxes or self-service analytics

Background in large multinational or financial-services organizations

We are looking for an experienced Product Analyst with a strong iGaming background to analyze product performance, player behavior, acquisition quality, and key business metrics.

The role requires a strong understanding of both product analytics and affiliate traffic economics within Casino and/or Sportsbook.
 

Responsibilities

• Analyze key iGaming metrics: GGR, NGR, LTV, ARPU, Retention, Churn, Conversion, ROI, Payback
• Analyze player behavior, cohorts, segmentation and lifecycle
• Identify bottlenecks and growth opportunities across the registration → deposit → active player funnel
• Conduct deep-dive product analysis and turn data into actionable business recommendations
• Design, evaluate and interpret A/B tests
• Analyze the impact of product changes, bonuses, promotions and new features
• Build and maintain dashboards and automated reporting
• Analyze affiliate traffic performance by partner, source, GEO and acquisition model
• Evaluate traffic quality based on FTD, Deposits, GGR/NGR, LTV, Retention, ROI and Payback
• Analyze CPA, RevShare and Hybrid acquisition models and partner performance
• Identify high- and low-performing traffic sources and opportunities for optimization and scaling
• Work closely with Product, Affiliate, CRM and Marketing teams

Requirements

• 3+ years of experience in Product / Data Analytics
• Hands-on iGaming / Gambling experience is mandatory
• Strong understanding of Casino and/or Sportsbook products and player behavior
• Strong knowledge of SQL
• Experience with Power BI, Tableau, Looker or similar BI tools
• Strong experience with cohort, funnel, retention and LTV analysis
• Practical experience with A/B testing
• Understanding of iGaming affiliate marketing and traffic economics
• Experience analyzing affiliate traffic and partner performance
• Understanding of CPA, RevShare, Hybrid, CAC, ROI and Payback
• Python for data analysis is a strong advantage
• Ability to translate data into clear conclusions and business recommendations

We Offer

• Competitive salary.
• Fully remote position.
• Flexible working hours.
• Opportunity to work with an international iGaming company operating across multiple markets.
• Professional growth in a fast-paced environment.

Candidates without previous iGaming / Gambling experience will not be considered