Jobs Web Analyst

Responsibilities:
Control of tracking completeness and event data quality across the website
Analysis of key product funnels and user behavior
Identification of UX friction points and growth opportunities
Monitoring of data quality and investigation of discrepancies across sources
Analysis of suspicious user behavior and abnormal activity patterns
Preparation of dashboards, reports, and analytical findings for product teams
Documentation of metrics, event logic, and data definitions

Requirements:
2+ years of experience in product, web, or data analytics
Strong SQL skills and experience working with large datasets
Experience with web analytics and event-based tracking
Understanding of product funnels, conversion metrics, and user behavior analysis
Experience with data validation, reconciliation, and data quality control
Ability to build dashboards and translate data into actionable insights
Good understanding of ETL processes and data structures

Will be plus:
Experience in iGaming, fintech, or other high-load digital products
Experience with fraud, bonus abuse, or suspicious user behavior analysis
Knowledge of A/B testing and experiment analysis
Experience with BI tools such as Tableau, Power BI, or Looker
Familiarity with Python for analytical tasks
Experience working with clickstream data

Tech Stack:
SQL
BI tools: Tableau
Web analytics tools: GA4 / GTM / similar platforms
Product analytics and clickstream analysis
Excel / Google Sheets
Python as a plus
DWH / ETL / event tracking systems
 

Probation Goals:
Tracking audit completed - list of issues, priorities, and improvement plan
Key funnel validation completed - confirmed logic and main drop-off points identified
Basic data quality checks launched - control points and alerts for critical metrics in place
Cross-source reconciliation completed - key discrepancies identified and documented
Core web analytics dashboard delivered - product team has access to key metrics
Suspicious user behavior analysis completed - main fraud patterns and monitoring approach described
Metrics and event schema documented - shared understanding of core definitions established

We are looking for a CRM / Retention Analyst to support our CRM and Retention teams with data-driven insights and identify growth opportunities for LTV and player retention through behavioral and communication performance analysis.

HOW YOU WILL MAKE AN IMPACT:

• Analyze key retention metrics: FTD → repeat deposits, churn rate, retention cohorts, LTV, ARPU/ARPPU, deposit frequency.
• Build and maintain analytical reports and dashboards for CRM campaigns, player segments, and promotions.
• Evaluate the effectiveness of CRM communications (Email, SMS, Push, In-App, Onsite) including open rate, CTR, and deposit conversion.
• Conduct cohort and behavioral analysis by GEO, acquisition source, player type, and deposit patterns.
• Support player segmentation (RFM, deposit segments, churn segments, VIP logic).
• Design and analyze A/B tests for CRM campaigns.
• Identify insights and opportunities to improve retention, player lifecycle, and revenue.
• Analyze player activity, sessions, games, and content performance to understand impact on retention.
• Provide data-driven insights and recommendations to CRM, Product, and VIP teams.

WHAT WILL HELP YOU SUCCEED IN THE ROLE:

• 2+ years of experience as a Data / Product / Business Analyst
• Strong SQL skills
• Experience with BI tools (Power BI, Tableau, Looker, Metabase, or similar)
• Understanding of key product analytics metrics (LTV, ARPU, ARPPU, churn, cohorts)
• Experience with retention and cohort analysis
• Ability to work with large datasets
• Ability to translate data into clear business insights
• Experience with A/B testing or CRM analytics is a plus
• Experience in iGaming / betting / gaming / fintech / subscription products is a plus

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 we continue to grow and evolve, we are expanding our team to support new initiatives and meet the increasing demand for our services. We’re currently looking for a talented and data-driven Web Analyst who can help us make smarter decisions and take our digital performance to the next level.

What We’re Looking For:

• strong hands-on experience with Google Tag Manager (GTM) and Google Analytics
• proven ability to set up, monitor, and interpret A/B tests using third-party platforms
• experience with app analytics tools like Firebase and Appsflyer
• working knowledge of BigQuery (BQ) and comfort working with large data sets
• a proactive attitude and a knack for solving problems before they impact performance

What You’ll Be Doing:

• setting up and maintaining web analytics tools, including Google Tag Manager and Google Analytics;
• planning, executing, and analyzing A/B and multivariate tests using third-party tools;
• supporting existing scripts and analytics setups, troubleshooting issues, and identifying bugs;
• creating custom dashboards and reports using BigQuery and other tools to help stakeholders make informed decisions;
• working with mobile application analytics platforms such as Firebase and Appsflyer.

What We Offer:

• paid vacations and sick leave;
• remote work — flexibility to work from wherever you’re most productive;
• challenging projects — opportunity to work on exciting and high-impact initiatives;
• employee discounts — enjoy special offers and discounts on our floral and gift products.

Станьте частиною команди Magnetics та допомагайте реалізовувати амбітні проєкти у динамічному середовищі! 🚀З метою розбудови веб-аналітики з нуля шукаємо досвідченого Web Analyst, який допоможе налаштувати необхідні аналітичні системи.

🧲 Magnetics — українська продуктова маркетингова агенція, що спеціалізується на UX-UI, фронтенді, маркетингових дослідженнях, продуктовому маркетингу, медійній рекламі та партнерському маркетингу. Компанія була заснована у 2014 році.

Що ми очікуємо:

◾️ Досвід роботи Web analyst від 2х років.
◾️ Відмінне знання GA4, GTM, Hotjar, Looker Studio.
◾️ Досвід роботи з A/B тестами.
◾️ Розуміння CRO, UX-патернів, поведінкових метрик.
◾️ Впевнене знання SQL.

Буде плюсом:
◾️ Досвід роботи з SEO аналітикою та google search console.
◾️ Досвід роботи з GBQ.
◾️ Досвід роботи с BI (Tableau).

Основні задачі:

📌 Налаштувати та підтримувати інструменти веб-аналітики (GA4, GTM, Hotjar):
- збір та валідація даних, розробка ієрархії подій та атрибуції, атрибуція каналів залучення трафіку, налаштування тригерів, тегів, користувацьких подій, custom java script.
📌 Розробка звітів для моніторингу та аналізу в Looker Studio.
📌 Веб-аналітика та A/B тестування (моніторинг, пошук аномалій та точок зростання, висновки по тестам).
📌 Взаємодія з продуктовою командою для прийняття рішень та покращення продукт.
📌 Участь в розробці аналітичної бази даних та наскрізної аналітики.

Що ми пропонуємо:

🧲 Покриття 50% вартості індивідуальних курсів, тренінгів та мовних програм.
🧲 Покриття 100% вартості командних курсів.
🧲 Безкоштовні консультації наших юристів та знижка 50% на юридичні послуги.
🧲 Медичне страхування.
🧲 Гнучкий графік.
🧲 Регулярний перегляд заробітної плати.
🧲 Регулярні тімбілдинги в Україні.

Magnetics притягує найкращих! 🧲 Стань ключовою ланкою нашої команди та налаштуй аналітичні процеси, що драйвлять бізнес. Чекаємо на твій відгук)

• Product dashboard development and ownership: building and maintaining Tableau dashboards that help the team quickly assess the health of key metrics and make informed decisions.
• User behavior analysis across web-to-app funnels: activation, conversion, retention, and churn.
• Subscription model analytics: cohort analysis, LTV, ARPU, MRR, identifying growth drivers and uncovering problem areas.
• Hypothesis and insight generation: translating data into clear, structured hypotheses and actionable insights that directly influence product and growth priorities.
• A/B testing support: contributing to experiment design, analyzing results, and interpreting the impact on key product metrics.
• Close partnership with the Product Manager to quickly assess metric performance and support fast, data-informed decision-making.
• Collaboration with the Data Engineer: defining data requirements, validating metric accuracy, and aligning on tracking changes.
• Cross-functional communication with Product and Marketing teams to interpret findings and align on next steps.

• 3+ years of experience in Product Analytics / Data Analytics within product companies.
• Hands-on experience with product metrics: activation, conversion, retention, churn, LTV, and ARPU.
• Experience building and maintaining product dashboards actively used by teams for decision-making.
• Strong SQL skills and solid understanding of analytical database structures (BigQuery or similar).
• Experience working with Tableau or other BI tools for data visualization and exploration.
• Strong understanding of A/B testing principles: experiment design, statistical significance, and result interpretation.
• English proficiency at Intermediate+ level.

• Experience working with Health & Fitness or Wellness products.
• Understanding of user behavior within subscription-based models (mobile or web-to-app).
• Experience with mobile product analytics (in-app events, paywalls, onboarding flows).
• Experience analyzing experiments and growth initiatives within product teams.
• Basic to confident Python skills for data analysis and automation (pandas, numpy).

• are excited about understanding the product through data, not just building reports and dashboards.
• want your analytics to have a direct influence on Product Manager decisions.
• feel comfortable working in a model where the PM makes final decisions while the analyst drives recommendations and insights.
• enjoy working in an environment with frequent testing, fast iterations, and data embedded into the product process.
• want to grow into a Senior Product Analyst / thought partner role for Product Managers.