বেসিক
Data Analyst - Monopoly World
পোস্ট করা হয়েছে: 01.06.2026
সমাপ্তির তারিখ: 16.07.2026
কাজের রেফারেন্স: c73edeeb9df9c42dfdba87867bbc0319
চাকরির তথ্য
অবস্থান
Kraków, Poland
কোম্পানি
Reality Games
কাজের রেফারেন্স
c73edeeb9df9c42dfdba87867bbc0319
তালিকার ধরন
বেসিক
ইইউ ওয়ার্ক পারমিট প্রয়োজন
না
পোস্ট করা হয়েছে
01.06.2026
সমাপ্তির তারিখ
16.07.2026
কাজের বিবরণ
Monopoly World is going global, and we’re looking for a talented Data Analyst to help us turn data into actionable insights that will shape the future of gaming. This is your chance to be part of an exciting, high-impact project that will reach players worldwide. This role will report to the Head of Analytics. This is a full-time, in-office position based in the iconic railway station building in Krakow.If you have a knack for solving complex problems, love working with data, and want to be part of a team that’s pushing the boundaries of mobile gaming, this is the opportunity for you.Join us in creating something truly innovative and make your mark on one of the most iconic games of all time.Come build something incredible with us! Check out our trailer and see what’s in store! 🚀🎥Key Responsibilities:Analyze and model data to provide actionable insights for game design and monetization strategiesDevelop and maintain data pipelines, and work with large datasets to derive meaningful patternsCollaborate with game designers and engineers to create data-driven solutionsPerform web scraping and interact with REST APIs to collect and consume dataWork with BigQuery SQL to query and manipulate game data for analysisDesign and run simulations to support the development of Free-to-Play mobile gamesContinuously monitor key performance indicators and suggest improvements based on data analysisProficiency in at least one programming language, such as Python, JavaScript, Java, R, or ScalaExperience with web scraping or consuming data from REST APIsExperience with BigQuery SQLStrong analytical thinking skills and the ability to interpret complex dataAt least 2 years of experience in data modeling and simulations for Free-to-Play mobile gamesVery good command of EnglishWhy Join Us?Leader’s support – Get mentorship, feedback, and career growth guidanceKnowledge sharing – We invest in employee developmentFast-paced career – Clear growth opportunities with performance reviewsTop-notch equipment – Get the right tools for your jobBeautiful office – Spacious, creative workspace in the city centerFlexible hours – Whether you prefer early mornings or late evenings, we accommodate your scheduleOpen kitchen – Enjoy coffee, juices, fruits, a stocked fridge, and moreTeam gatherings – Connect with colleagues over pizza, games, and great companyIf you are passionate about data analytics and eager to apply your expertise to a groundbreaking project, we want to hear from you. Join us and contribute to an exciting and fast-growing industry. Apply now!
দক্ষতা
analyse big data
apply statistical analysis techniques
Business Analytics
Business Intelligence
cloud technologies
collect ICT data
create data models
Data Engineering
data ethics
Data Mining
Data Models
data quality assessment
Data Science
data storage
data visualisation software
Database
define data quality criteria
deliver visual presentation of data
digital data processing
documentation types
establish data processes
execute analytical mathematical calculations
Game Theory
gather data for forensic purposes
Hadoop
handle data samples
Healthcare Analytics
image recognition
implement data quality processes
Information Architecture
information categorisation
information confidentiality
Information Extraction
information structure
integrate ICT data
interpret current data
LDAP
LINQ
make data-driven decisions
manage cloud data and storage
manage data
manage data collection systems
manage quantitative data
Marketing Analytics
MDX
multidisciplinary research
N1QL
normalise data
online analytical processing
perform data cleansing
perform data mining
query languages
report analysis results
Research Design
resource description framework query language
Social Network Analysis
SPARQL
statistical modeling techniques
Statistics
store digital data and systems
Unstructured Data
use data processing techniques
use databases
use spreadsheets software
visual presentation techniques
Web Analytics
XQuery