Product Analyst
Ukraine
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingPartner 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
From the employer’s posting
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)
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
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
What you’ll bring
All qualificationsCore experience
- 3+ years of experience as a Product Data Analyst, ideally within FinTech, Trading, GameDev, or high-transaction B2C digital products
- Experience with Data Engineering concepts and tools (dbt, Airflow) to build your own data pipelines
- 20 paid vacation days per year
- 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)
- Familiarity with mobile attribution platforms (AppsFlyer, Adjust) and deep-linking analytics
- 10 paid sick leave days per year
Qualification wording
3+ years of experience as a Product Data Analyst, ideally within FinTech, Trading, GameDev, or high-transaction B2C digital products
Experience with Data Engineering concepts and tools (dbt, Airflow) to build your own data pipelines
20 paid vacation days per year
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)
Familiarity with mobile attribution platforms (AppsFlyer, Adjust) and deep-linking analytics
10 paid sick leave days per year
Tools in this posting
- Python
- R
- SQL
- BigQuery
- dbt
- Looker
- Power BI
- Snowflake
- Superset
- Tableau
- Airflow
- pandas
- Scipy
- Redshift
Source — Tool mentions in context
- 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
- 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)
- 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
- 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)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 136d ago
- Recorded sightings
- 76
- Last seen by us
- Oct 15, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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
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)
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.
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- Pay
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- Location & working pattern
Ukraine
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