Jobs Data Analyst

Senior Trader - CS2

• Are you comfortable mentoring others and setting the trading standard for FPS titles?
• Do you enjoy reviewing performance and contributing to continuous improvement?

• Do you want to be involved into shaping the long-term vision for FPS esports trading?

   

If the answers to the above questions are yes, then this role could be ideal for you!

We are looking for an experienced Senior Trader to take primary ownership of CS2 trading performance, while also being responsible for trading across other shooter titles such as Valorant, Rainbow Six Siege, and similar games.

This role is hands-on and highly dynamic, where you will trade matches using in-house mathematical models, monitor third-party pricing feeds as needed, and make adjustments to maintain balanced and competitive markets.

You will collaborate closely with Analytics and Data Science teams to ensure trading decisions are data-driven and market operations run smoothly.

What you will do 

• Manage pre-match and live odds for CS2 matches across all tiers
• Trade esports matches using in-house pricing models and monitor third-party feeds, making adjustments as needed
• Analyze statistics across different periods to determine odds for pre-match and live markets
• Monitor competitor odds and identify market inefficiencies
• Support the Director of Trading in defining market strategy, trading rules, and operational decisions
• Collaborate with Analytics team on model development and calibration
• Mentor junior traders and contribute to trading best practices

• Support continuous improvement in trading processes, tools, and automation

   

Your skills will include

• 5+ years of experience in esports trading, preferably with a strong focus on CS
• Deep understanding of FPS esports titles, including game mechanics, tournament formats, teams, meta, and results
• Proven track record in live trading and risk management
• Strong mathematical understanding of probabilities and expected value
• Analytical mindset and strong attention to detail
• Ability to work in a fast-changing, high-pressure environment
• Ability to work flexible hours including evenings/weekends for live events
• Quick decision-making under pressure

Nice to have

• Hands-on experience with trading automation or building trading tools
• Experience mentoring junior traders

• Familiarity with model validation and statistical testing for pricing models

   

Benefits of working at GRID

• Flexible working conditions
• Mental health support
• Company and team-wide events
• Work travel opportunities with travel insurance

• Training and development budget

   

About our culture

• Flexibility: Work from the place that inspires and motivates you the most! From our awesome Berlin/ Wroclaw offices to the comfort of your own home. Meet up in person with your colleagues every so often, making use of the travel opportunities GRID offers
• Sustainability: We want our employees to be well-rested and able to perform effectively. We offer a generous vacation allowance (28+ days a year) and the opportunity to speak with professional counselors to support mental health, covered by the business
• Pragmatic: GRID thrives on being rational, allowing us to make the best decisions rather than keeping to rigid processes and procedures that don’t work well for us
• Fostering growth: Empowering employees who are determined to grow by providing a self-development budget and strong career advancement opportunities. Support from your teammates to guide and encourage you to grow in your desired professional field

• Company culture: We believe a diverse industry is best served with an inclusive and diverse workforce. With people based in over 24 countries, our latest employee survey shows that more than 98% agree GRID provides a supportive, effective remote work environment

   

About GRID

Founded in 2018 in Berlin, GRID offers the GRID Data Platform to the esports & games industry. Specializing in in-game and play-by-play data, GRID curates data for game developers and tournament organizers and leverages its data platform to unlock the potential of the right holders’ data assets for the purposes of storytelling, fan engagement, and integrity.

GRID’s official data partnerships cover multiple partnered rights holders (data sources) and integrated commercial data consumers, covering 15+ game titles. Our exclusive data partners include the likes of Riot Games, Ubisoft, Krafton, Moonton, BLAST, PerfectWorld, Hero Esports and CCT.

If you have the ambition and desire to work at the forefront of cutting-edge industry projects, then GRID is the place for you.

Apply today to find out more and begin your journey!

About Us

We are a fast-growing international iGaming company with over 3 years of success and a team of 1,000+ professionals.
We operate 8 large-scale projects trusted by thousands of players worldwide and focus on building data-driven, scalable products.
We value expertise, initiative, and continuous growth, offering an environment where professionals can make a real impact on the future of the entertainment industry.
 

About the Role

We are looking for a Product Analyst (Retention) to join our iGaming team.
In this role, you will focus on analyzing player behavior, retention metrics, and product performance to support data-driven decisions and improve long-term user engagement, working closely with product, marketing, and BI teams to identify growth opportunities and optimize retention strategies.
 

Responsibilities

• Analyze player behavior, retention, and lifecycle metrics
• Perform cohort and funnel analysis to identify drop-off points and growth opportunities
• Evaluate the effectiveness of bonuses, promotions, and retention campaigns
• Build dashboards and regular reports for product and business teams
• Translate data insights into clear and actionable product recommendations
• Collaborate closely with product managers, marketers, and BI specialists
   

Requirements

• 3+ years of experience in product, retention, or behavioral analytics
• Strong SQL skills and experience working with large datasets
• Hands-on experience with BI tools and data visualization
• Solid understanding of retention metrics, cohorts, and user behavior analysis
• Product mindset and ability to work with business stakeholders
• Strong analytical thinking and attention to detail
   

Nice to Have

• Experience in iGaming, betting, or other high-load B2C products
• Experience with A/B testing and experimentation
• Knowledge of statistics and predictive analytics
   

What We Offer

• Full-time remote work (Mon–Fri, 10:00–19:00 UTC+2) 💻
• Competitive salary and performance-based bonuses 💸
• Paid vacation and sick leave 🌴
• Birthday gifts and corporate activities 🎁
• Professional growth and onboarding support
• Regular internal events and team-building activities
• Corporate psychologist support 🧠
• Friendly and growth-oriented work environment
   

Ready to Join Us?

If you’re ready to bring your expertise to a dynamic, fast-growing iGaming team and make a real impact on retention and product decisions, we’d be happy to meet you.
Join us and be part of our growth journey.

About Digis
Digis is a European IT company with 200+ specialists delivering complex SaaS products, enterprise solutions, and AI-powered platforms worldwide.
We partner with clients from the US, UK, and EU, building long-term dedicated teams and offering transparency, stability, and continuous professional growth for our engineers.

About the Project
A hospitality-tech company, leading digital guest engagement. Their technology puts the power to order and pay back into the hands of the customer. They are currently processing hundreds of thousands of orders a week for leading hospitality brands in over 60+ countries.
Being a scaling company, they are not burdened by a complicated company structure, as such
there’s ample opportunity to progress and impress. Nothing is off-limits, if there’s something
that you wish to be involved in, within the business, it is welcomed. Their company’s philosophy is that the best ideas should prevail.

Requirements

• Experience: 5+ years as a Data Analyst
• SQL: 1+ year of hands-on experience
• BI tools: 1+ year (ideally Looker, but Power BI, Tableau, etc. are also acceptable)
• Salesforce: any experience
• English level: Upper-Intermediate+

What Makes This Role Special

• Global product used in 60+ countries
• Large volumes of real production data
• High visibility across the business
• Ownership of the analytics layer
• Direct impact on decision-making

• Opportunity to influence systems and processes

  
  We Offer

• Paid 20 vacation days per year
• Paid 5 sick leaves per year with no medical documents needed
• Сompensation for subject-matter trainings
• Worktools (PC, laptop, monitor) and workplace arrangement, if needed
• Assistance in choosing and compensation for English courses
• 100% horizontal in-company organization and communications
• Possibility to switch between projects and technologies within the company
• Accounting support
• Free corporate psychologist services

We are looking for Data Analyst. Product: sweepstakes casino, US. 

What you’ll be working on:

• Build a visualized reporting system for an online social casino project, which will consist of the following basic reports: Financial P&L, Unit Economics, Product KPIs, Retention/Cohort Report, Marketing ROMI/ROI Report with predictions, and Conversion Funnel Report.
• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Support the creation of reporting and insights dashboards across the organization.
• Proactively identify opportunities to improve the product experience.
• Communicate insights and recommendations to key stakeholders.
   

What we expect from you:

• 2+ years of experience in data analysis or data science.
• Experience with databases.
• Proficiency with technologies such as SQL, Tableau, Power BI, Data Studio, and Python.
• Ability to work with spreadsheets (at least basic knowledge of Excel).
• Knowledge of at least one programming language.
• Analytical mindset.

• English proficiency: at least B1 (preferably B2).

  
  Interview process:

• 1: HR Interview — ~40 min
• 2: Technical Interview — up to 1 hour
• 3: Reference Check
• 4: Offer
   

We are seeking a Product Analytics Team Lead to drive data-informed product decisions and build a high-impact analytics at JustMarkets.

In this role, you will develop and mentor a strong product analytics team, shape the analytics strategy, and turn insights into actionable recommendations that improve user experience, optimize core metrics, and guide product priorities.

Responsibilities

• Lead, mentor, and develop a team of Product Analysts, ensuring high performance and continuous professional growth
• Build, maintain, and improve analytical processes, standards, and best practices across the product organization
• Define, track, and enhance key product metrics (activation, conversion, retention, ARPU, LTV, etc.)
• Collaborate closely with Product Managers and Product Designers to drive correct data-informed decision-making
• Take ownership of complex product problems and contribute to strategic product and business decisions
• Build and validate product hypotheses, identify growth opportunities, and detect issues early through structured analysis
• Design, evaluate, and interpret A/B tests, providing clear insights and actionable recommendations
• Connect analytical findings with business goals, demonstrating how product analysis impacts outcomes
• Automate reporting processes and develop dashboards tailored to various stakeholders
• Monitor key product and business metrics, investigating anomalies and identifying root causes
• Identify patterns and dependencies in user behavior data, generating new product hypotheses
• Develop and maintain high-quality dashboards and analytical artifacts for product teams and executives
• Identify, document, and close data gaps across analytics tools (GA4, Amplitude, BigQuery, Tableau)

Requirements

• 3+ years of experience as a Product Analyst in a product-driven company
• 1+ year of experience leading, managing, or mentoring a team of analysts
• Strong ownership mentality and exceptional attention to detail in data analysis and reporting
• Solid understanding of core product metrics, user segmentation, and building product funnels
• Strong knowledge of statistical foundations, experimental design, and hypothesis testing
• Advanced understanding of A/B testing principles, statistical significance, and experiment evaluation
• Proven experience delivering analytical solutions for complex product challenges
• Experience with data visualization and BI tools (e.g., Tableau, Looker, Power BI, Metabase)
• Experience working with product analytics systems (e.g., GA4, BigQuery, Amplitude, Firebase, AppsFlyer, Mixpanel)
• Strong English written/verbal communication skills

Will be a plus

• Experience in the CFD, crypto industry

We offer

• Opportunity to redesign and optimize the product analytics strategy to drive key business decisions
• Ability develop and mentor a high-performing analytics team
• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 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)

About the Role

Bizzabo, a leader in event technology, is looking for a strategic and highly analytical Business Analyst 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.

What You’ll Be Doing

• Act as a dedicated strategic partner to GTM leadership (Sales, Marketing, and Customer Success).
• Identify growth opportunities 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.
• 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.
• Mindset: Highly independent, self-motivated, and capable of managing multiple high-priority projects in a fast-paced environment.

Preferred Qualifications

• Experience with AI-integrated analytics platforms or building automated workflows using AI agents.
• Familiarity with Salesforce, HubSpot and PlanHat data structures.

Come Back Agency supports US software and technology companies by running their hiring process. We work with delivery and leadership teams to define roles, screen candidates, and manage interviews. Successful candidates are hired directly by the company and become part of its team.
 

This position is with a US-based software company providing custom development and AI implementation for North American clients. The team builds and maintains production software, including AI-enabled systems, and works in long-term client engagements. Team members operate as part of an internal, distributed team and collaborate directly with client stakeholders.
 

*Advanced English is required. You must be able to communicate clearly in English with the US team in writing and on calls, explain your analysis, and defend recommendations
 

About the role:

This is not a client-facing role. You will analyze our numbers, benchmark competitors, and turn insights into weekly actions. Your goal is to help us get more qualified leads, improve conversion rates, and increase profit per project.
 

What you will do

• Marketing and competitor intelligence
• Track where competitors get leads and what channels they invest in, including Clutch, LinkedIn, SEO, paid ads, communities, partnerships, and marketplaces
• Analyze competitor positioning, offers, pricing signals, case studies, and landing page patterns
• Build a competitor dashboard and update it weekly or biweekly with changes, new campaigns, and new content
• Recommend practical experiments we can run based on competitor patterns and gaps
• Lead and pipeline analytics
• Create a single view of leads across website, PPC, LinkedIn, referrals, and outbound
• Report weekly on lead volume, lead quality, response time, booked calls, proposals sent, close rate, and cycle length
• Identify bottlenecks and propose fixes, like targeting changes, offer changes, follow up sequences, and landing page improvements
• Work with the team to keep tracking clean, including UTMs and source attribution
• Profitability and delivery analytics
• Analyze project profitability by client, service line, tech stack, team mix, and project type
• Track margin, burn vs budget, change requests, rework signals, and delivery risk patterns
• Recommend how to price and package projects to protect margin, including phased scopes and standard inclusions and exclusions
• Build a simple monthly profitability report leadership can use to make decisions fast
• Reporting and decision support
• Turn messy data into clean data, define standard fields, and maintain the reporting system
   

Requirements

• Strong analytical experience in a growth, strategy, ops, or finance analytics role
• Excellent spreadsheet skills and comfort working with imperfect data
• Ability to research competitors and synthesize insights into clear actions
• Comfort with marketing metrics and basic sales funnel math
• Strong written communication, concise and clear
   

Nice to have

• Experience with B2B services, agencies, or software consulting
• Experience with tools like GA4, Looker Studio, HubSpot, Pipedrive, Airtable, Notion, or similar
   

What We Offer:

• Working hours aligned with US time zones, typically 16:00—23:59 Kyiv time.
• English lessons to support clear and confident communication.
• Paid vacation and sick days.
• Fully remote work.
• Opportunities for professional growth within the team.
• Structured, personalized onboarding to help you ramp up effectively.
   

Apply with your resume and a short note outlining your relevant experience. You can also submit it through our website at comeback.ua. Selected candidates will be contacted by Come Back Agency

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 DemandSense

DemandSense is a B2B SaaS platform that helps companies understand buyer intent, advertising performance, and product impact through data and AI-driven insights. We work with large volumes of product, marketing, and behavioral data and turn them into actionable intelligence for go-to-market teams.

Role Overview

We are looking for a Data Analyst to own and evolve our data pipelines, analytics layer, and dashboards. 

This role sits at the intersection of data engineering, analytics, and AI enablement, ensuring high-quality data flows and models that power both customer-facing insights and internal decision-making.

Key Responsibilities

• Create and maintain dashboards and reports in Apache Superset
• Design, build, and maintain reliable data pipelines, e.g, using Python (Airflow), n8n
• Maintain and optimize ClickHouse as an analytical data warehouse (tables, partitions, TTLs, indexes)
• Integrate data from multiple sources (product, marketing, billing, external APIs)
• Prepare clean, well-structured datasets for AI tools
• Partner with engineering and product on data-related initiatives
• Document data models, pipelines, and definitions to ensure transparency and reuse

High Level Measurements of Success:

• Analytical datasets structured for easy consumption by AI models and/or BI tools; models are reusable
• Proactively identifies and implements pipeline improvements or new metrics
• Dashboards are developed on time and provide insights that lead to actionable decisions
• All data sources, metrics, and workflows are clearly documented

Tech Stack

• Databases: PostgreSQL, ClickHouse
• ETL & Orchestration: Python, Airflow
• No-code / Automation: n8n
• BI & Visualization: Apache Superset 

Required Qualifications

• Strong proficiency in SQL (complex queries, views, joins, aggregations)
• Hands-on experience with at least one BI or visualization tool
• Solid understanding of database schemas and data modeling
• 2+ years of data management and ETL experience

Nice to Have

• Experience with product analytics (funnels, cohorts, retention, usage metrics)
• Familiarity with ClickHouse or other analytical databases
• English Intermediate+

Attributes

• Strong problem-solving skills.
• Highly attentive to detail.
• Deliberative decision-making.
• Learning agility and adaptability.
• Strong communication and collaboration skills (cross-functional teamwork).
• Commitment to data quality and integrity.
• Professional, proactive, and reliable work style.

What We Offer

• Opportunity to work on a data- and AI-first product
• High ownership and influence on analytics and AI foundations
• Collaboration with experienced product and engineering teams
• Flexible work environment and competitive compensation

We are looking for a data-driven VIP Analyst to strengthen our VIP and High-Value Player strategy across Casino and Sportsbook verticals. In this role, you will own VIP performance analytics, bonus efficiency evaluation, behavioral segmentation, and manager impact measurement across multiple brands and geographies.

You will play a key role in maximizing VIP lifetime value (LTV), optimizing bonus ROI, and detecting early churn or risk signals within high-value cohorts.
 

HOW YOU WILL MAKE AN IMPACT
 

1. VIP & High-Value Player Analytics

• Build and maintain a unified VIP analytics framework across Casino and Sportsbook products.
• Develop behavioral segmentation models based on betting activity, frequency, stake size, product mix, payment behavior, and engagement patterns — not just deposit volume.
• Conduct cross-brand and geo analysis (Tier 1 / Tier 2 / Tier 3 markets).
• Analyze VIP lifecycle: acquisition → activation → growth → retention → churn.
• Monitor and optimize key metrics: GGR, NGR, ARPU, LTV, Hold %, Bet Frequency, Average Stake.
   

2. Bonus ROI & Offer Optimization

• Measure ROI of VIP bonuses, free bets, cashback, reloads, and personalized offers.
• Analyze uplift impact on GGR, NGR, retention, and wagering behavior.
• Lead A/B testing of VIP promotions and incentive mechanics.
• Identify bonus abuse patterns and inefficient incentive structures.
• Ensure bonus cost aligns with profitability and margin targets.
   

3. VIP Manager Performance & Contact Strategy

• Evaluate impact of VIP manager contact rate on player retention, GGR, and NGR.
• Measure player performance before and after VIP assignment.
• Build KPI frameworks for VIP managers (retention rate, reactivation rate, revenue uplift, churn prevention).
• Optimize segmentation rules for VIP flows and assignment logic.
• Support data-driven decision-making for VIP team leads.
   

4. Risk, Fraud & Early Churn Detection

• Detect abnormal deposit and betting patterns (spikes, sharp betting behavior, bonus abuse).
• Identify early churn signals (decline in bet frequency, reduced stake size, inactivity trends).
• Collaborate with Risk & Fraud teams to monitor suspicious VIP behavior.
• Build automated alerts for high-risk or high-opportunity VIP accounts.
• Support responsible gaming monitoring within VIP cohorts.
   

5. Reporting & Data Infrastructure

• Own daily, weekly, and monthly VIP performance reporting.
• Deliver individual VIP dashboards to support personalized account management.
• Ensure consistency of VIP tagging, segmentation logic, and reporting across brands.
• Automate reporting processes and improve analytics infrastructure.
• Maintain transparency of GGR vs NGR impact in reporting.
   

6. Experiments & Product Impact

• Take analytical ownership of experiments related to payments, withdrawals, limits, VIP flows, CRM mechanics, and loyalty programs.
• Evaluate impact of operational changes on betting activity and VIP profitability.
• Translate analytical findings into clear business recommendations with financial implications.
• Partner with Product, CRM, Payments, and Risk teams.
   

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• 2+ years of experience in iGaming (Casino / Sportsbook) analytics.
• Strong SQL skills (experience working with large transactional betting datasets).
• Solid understanding of GGR, NGR, Hold %, LTV, churn rate, bonus cost mechanics.
• Experience with BI tools (Power BI / Tableau / Looker).
• Experience with A/B testing and experiment evaluation.
• Strong business mindset and ability to communicate insights to non-technical stakeholders.
   

Nice to Have

• Experience with churn prediction or behavioral modeling.
• Knowledge of sharp betting detection and bonus abuse patterns.
• Experience with Python (Pandas, statistical analysis).
• Familiarity with regulatory requirements across Tier 1 markets.
   

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!
• 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.

About the Role

As a Senior Business Systems Analyst, you will play a key role in defining requirements and shaping the AI-driven future of Pearl’s Analytics and Experimentation platforms. You will work closely with Analytics, Machine Learning, and cross-functional Engineering teams to ensure our data and experimentation platforms are high-quality, AI-enabled, and lean.

This role is critical for driving the adoption of AI tooling, improving experiment workflows, supporting data platform enhancements, and ensuring data quality and regulatory compliance across systems.

 

What You’ll Do

AI Analytics Tooling (30%)

• Evaluate and pilot AI tools (e.g., ADI Bot, Databricks Agents) and design future enhancements.
• Define adoption metrics and collect user feedback.
• Create enablement materials and promote AI-driven workflow improvements.

Experimentation Platform Support & Optimization (25%)

• Support A/B testing frameworks and validate experiment configurations.
• Partner with Analytics, Engineering, and Machine Learning to improve experimentation workflows.
• Recommend tooling enhancements and streamline experiment lifecycle processes.

Data Platform Analysis & Metadata Governance (25%)

• Evaluate and design enhancements for current data platform offerings (Google Analytics, Internal Data, PostHog).
• Promote adoption of OpenMetadata and improve metadata coverage.
• Design and track AI readiness through documentation scores, dataset lineage, and other readiness metrics.
• Work with platform teams to enforce data standards and governance.

Data Quality Support (10%)

• Review data quality audits and communicate results across teams.
• Maintain data health scorecards and identify recurring issues.
• Collaborate with engineering teams to prioritize and resolve data quality issues.

Regulatory Compliance & Requirements Management (10%)

• Translate regulatory obligations (GDPR, CCPA, etc.) into system requirements.
• Work with Legal, Security, and Data Engineering on compliance controls.
• Document workflows, maintain audit artifacts, and support periodic reviews.
  
   

What We’re Looking For

• 5+ years of experience in Business Systems Analysis and/or database analysis, including end-to-end business requirements identification and gathering.
• Ability to query, analyze, and troubleshoot datasets using SQL.
• Experience with agile software development.
• Hands-on use of AI tools within analytics or data engineering workflows.
• Basic experience with a modern software development language (Python, C#, Java, TypeScript/JavaScript).
• Strong knowledge of Experimentation methodology/platforms
• Understanding of documentation standards, lineage, data quality audits, and governance processes.
• Сonceptual thinking, analytical, and problem-solving skills.
• Strong communication skills with proven experience collaborating cross-functionally with engineers, product managers, and analytics teams.
• Desire and ability to lead, advocate for features, and make data-driven recommendations.
• Ability to thrive in a fast-paced environment and meet aggressive deadlines while managing multiple projects.
• English proficiency (at least strong upper-intermediate level).

About The Role

In this role, you will drive tangible business impact by delivering high-quality insights and recommendations, leveraging your ability to combine strategic thinking and problem-solving with detailed analysis. You will collaborate closely with Product Managers and cross-functional teams, uncovering business insights, devising optimization strategies, and validating them through experiments.
 

What You’ll Do

• Collaborate with Product and Analytics leadership to structure and perform deep-dive analyses, delivering actionable insights into key business areas
• Analyze large datasets (internal and external) to identify growth and optimization opportunities, translating findings into business recommendations and effectively communicating them to stakeholders, including senior leadership.
• Perform Descriptive and Prescriptive Analytics using ML models, A/B and MAB experimentation, while building reports to understand business trends
• Track and implement business metrics to drive continuous improvement and support data-driven decision-making
• Act as a lead analyst, gaining deep insights into the JustAnswer audience to inform strategic decisions.
   

What We’re Looking For

• 5+ years of experience (preferably within e-commerce or customer experience products).
• Strong proficiency in Excel for analysis and business modeling
• Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer
• Experience with Google Analytics, BigQuery, PowerBI, Python/R, and ML is desirable.
• Expertise in Descriptive and Inferential Statistical Analysis, A/B testing, or Hypothesis Testing, with proven ability to analyze results.
• Excellent communication skills, with confidence in interacting across all levels of management and diverse business functions.
• English proficiency (at least strong upper-intermediate level).

Position Type: Full-time/Remote

Working hours: 10 am to 7 pm (flexible)

Main requirements

• Excellent analytical skills
• Work experience in data analysis will be a big advantage
• English: upper/Intermediate - reading, writing and speaking - is a must
• Successful projects coordination

Skills

• Advanced Excel user (pivot tables)
• SQL, Looker, Google analytical tools knowledge is a plus
• Sharp mind & strong logical thinking
• Responsibility, honesty
• Ability to do carefully monotonous and repeated tasks
• Open-minded and positive attitude
• Ability to create the work process
• Experience in team management — as a plus
• Ability to work not only according to instructions, but to create them for yourself

Duties & Responsibilities

• Performing various data analysis, research
• Preparation of different internal reports
• Supervising the correctness of data
• Developing and supporting reports and dashboards in Looker
• Developing new and optimizing existing SQL queries of reports
• Transforming, normalizing, separating raw data in sets
• Other similar tasks as directed by the Supervisor

Notes:

• Training sessions will be provided

What we offer:

• Friendly team and professional growth in a product company
• Financial stability
• Remote work
• Paid vacation and sick leaves

• Medical program

   

Please, apply with CV in English

Salary - Equivalent to $500–$600 gross, depending on skills

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 Marketing Analyst, you will analyze marketing activity data across channels to evaluate campaign effectiveness, identify trends, and support business growth.

Requirements

• 2+ years of experience as a Marketing 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

Your Responsibilities

• Analyze marketing-related data (marketing channels and campaigns, conversion funnels, and cohorts to support business decision-making
• Collect and prepare data from multiple sources for analysis and reporting
• Build and maintain reports and dashboards 
• Perform ad-hoc and exploratory analysis based on business requests
• Identify trends, patterns, and key drivers behind changes in marketing metrics
• Present analytical insights and findings to stakeholders

Nice to Have

• Experience in gaming and traffic or other product verticals
• Experience with Google Analytics

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

Client: The company is a multinational pharmaceutical and diagnostics corporation. It is renowned for its contributions to healthcare through the development of innovative drugs and diagnostic solutions. With a focus on advancing medical science, the company has established itself as a leader in the biotechnology and healthcare industries. The company's commitment to scientific research and development underscores its role in shaping the future of healthcare worldwide.
 

Responsibilities:

• You will collaborate with cross-functional teams to analyze requirements, develop technical specifications and implement solutions;
• Analyze large and complex datasets to uncover insights, trends, and patterns that support strategic and operational decision-making;
• Design and maintain dashboards and reports using BI tools (e.g., Power BI, Tableau, or similar) to communicate findings effectively to both technical and non-technical users;
• Act as a bridge between business and technical teams — translating business questions into analytical tasks and ensuring data solutions align with business objectives;
• Design and develop data models and data warehouses in Snowflake;
• Develop and maintain ETL processes to move data from source systems to Snowflake;

• Create and maintain views, stored procedures, and other database objects.

   

Requirements:

• Proven experience as Data Analyst with Snowflake in a senior capacity;
• In-depth understanding of Snowflake architecture and best practices;
• Hands-on experience with AWS;
• Strong proficiency in SQL and experience working with large datasets;
• Hands-on experience with data modeling, ETL processes, and data warehousing;
• Solid understanding of data visualization tools;
• At least basic experience in pharmaceutical manufacturing processes needed;
• Capability of working independently and eagerness to continuously develop skills and knowledge.

Bonus points:

• Snowflake Certification
• AWS Certification