Live opening · Posted 13 hours ago

Senior Product Analyst

ARRISE · Global remote, Malta
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At a glance

The key details from the original listing.

Posted 13 hours ago
CompanyARRISE
LocationGlobal remote, Malta
SkillsPython, Pandas, Power BI, Tableau
SourceJobvite
ListedPosted 13 hours ago

About the role

Description supplied by the original job listing.

About the role
If you are a skilled Product Analyst who has passion to work in a fast-paced environment, have an eye for details and ready to experiment new things, we encourage you to apply and be part of our dynamic and innovative team and organization.
What you will do
Partner directly with Product Managers and game designers to define, track, and evolve core product KPIs – activation, retention, engagement, and monetization – across the game’s portfolio;
Design, run, and analyze A/B tests and product experiments, collaborating with Product on hypothesis design, metric definition, and interpretation of results;
Conduct deep-dive analyses of player behavior and product usage to uncover trends, friction points, and opportunities that inform the product roadmap;
Apply statistical techniques – hypothesis testing, regression, segmentation/clustering – to support forecasting and behavioral modelling;
Build and maintain automated dashboards and self-serve reporting for product KPIs, feature adoption, and player experience metrics;
Perform recurring analysis of product and feature performance across markets, operators, and product verticals;
Translate quantitative findings into clear, actionable recommendations for Product, Game Design, and Executive stakeholders;
Support ad-hoc analytical requests tied to product prioritization, feature launches, and roadmap decisions;
Identify strong and weak points in product performance and present findings clearly to both technical and non-technical audiences.
What you bring
Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field;
5+ years of experience in a product analyst, data analyst, or similar analytical role, ideally supporting a product or engineering organization. Experience in iGaming or online/mobile gaming is a strong advantage;
Strong SQL skills with experience querying large, complex datasets – must have;
Proficiency in at least one BI visualization tool (Tableau or Power BI) – must have;
Practical experience designing and analysing A/B tests or product experiments, including hypothesis testing and interpreting results – must have;
Working knowledge of statistical methods (regression, segmentation, hypothesis testing) applied to product and behavioural data;
Strong analytical thinking, attention to detail, and a structured approach to problem solving;
Excellent communication skills, with the ability to translate complex data into recommendations that Product Managers and executives can act on;
Self-starter who takes ownership and works well independently, while also collaborating effectively as part of a cross-functional team;
Business fluency in written and spoken English.
What sets you apart
Experience with Python (Pandas, NumPy) or R for data analysis and automation;
Familiarity with product/event-tracking analytics tools (e.g., Amplitude, Mixpanel, Segment);
Knowledge of data warehousing concepts and the modern data stack (Snowflake, BigQuery, dbt);
Advanced Excel skills, including pivot tables and data modelling;
Experience working in agile, cross-functional product teams.
About us
ARRISE is a global leader in software development and services for the iGaming industry, bringing together more than 2,500 professionals operating across more than 12 locations worldwide.
From concept through to delivery, we combine technical expertise, creativity and industry knowledge to develop products, platforms and services that shape player experiences and support some of the industry's leading brands.
We are best known for the work we deliver for Pragmatic Play, creating and supporting technology, products and specialists services enjoyed by millions of players worldwide.

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