Product Analyst

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)

Role mission

About the role:
We are looking for a highly proactive and commercially minded Senior Product Analyst to join our Product Team. In our data-heavy environment (millions of events across Web, App, Trading Terminals, and Partner portals), you will not just be answering ad-hoc data requests. You will act as a strategic partner to our Product Managers, identifying hidden growth opportunities, building complex LTV and cohort models, and ensuring maximum statistical rigor in our high-velocity A/B testing framework. If you are passionate about behavioral analytics, love digging into user journeys to find the "why" behind the numbers, and can translate complex data into actionable product strategies, this role is for you.

1. Role Mission
To transform raw product and trading data into actionable insights that drive product strategy. The global need for this role is to establish a robust, single source of truth for product metrics, empower Product Managers with self-serve analytics, and uncover data-driven growth levers that maximize trader LTV and retention.

Requirements hard skills

4+ 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.

Requirements soft skills

Proactive Problem Solving: You don’t wait for a PM to ask for data; you explore the data yourself and bring them insights they didn’t know they needed.

Data Storytelling: Ability to translate complex statistical findings into plain, compelling business language for C-level executives and non-technical stakeholders.

Business Acumen: Deep understanding of unit economics. You always connect user behavior metrics back to the company's P&L and revenue goals.

Collaboration & Teamwork: Strong team player who works effectively with Product, Engineering, Marketing, and Leadership teams, building trusted partnerships and driving cross-functional alignment through data.