Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Analyst

Goss
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst – Fraud Analytics

Senior Data Analyst - SQL & Python

Senior Data Analyst

Senior Data Analyst

1 week ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

Senior Data Analyst - Goss

Company Description

Goss is a social gaming application that allows users to bet on their interests in a fun and gamified way. The platform offers a chance for women to bet on various topics such as reality TV shows, social media engagement, and celebrity fashion choices. With Goss, users can engage in friendly betting and enjoy the excitement of predicting outcomes.

Role Description

This is a full-time remote role for a Data Analyst at Goss. As a Data Analyst, you will be responsible for analyzing and interpreting data, developing statistical models, and communicating insights. You will collaborate with cross-functional teams to identify patterns and trends, and provide recommendations based on data analysis.

The Opportunity

You'll define our data strategy, user segmentation, and growth analytics. You'll build predictive models and optimization systems that drive our core business metrics.

What You'll Own

  • Pricing Architecture & Economy Balancing: Analyze and optimize our currency and prize pricing, promo offerings, etc.
  • User Segmentation: Build our core user personas, define and improve customer level segmentation, and define engagement thresholds
  • Market Making Support: Establish betting lines and improve core algorithms
  • Marketing Analysis: Understand marketing cohort behaviours using facebook ads and cohorts
  • Reporting Infrastructure: Create automated dashboards for daily, weekly, and monthly KPIs
  • Real-Time Optimization: Build systems to monitor and optimize user engagement and monetization in real-time
  • Predictive Modeling: Develop churn prediction, lifetime value models, and user progression forecasting
  • Fraud Detection: Create automated systems to flag suspicious betting patterns and user behavior
  • Advanced Analytics: A/B testing infrastructure, cohort analysis, and revenue optimization models
  • Market Intelligence: Competitive analysis and market trend identification

What We're Looking For

Must-Haves

  • 3+ years in mobile gaming, social casino or sportsbook analytics with proven track record of driving user retention and monetization
  • Strong SQL skills for complex data manipulation and analysis
  • Python proficiency for data modeling, automation, and statistical analysis
  • Dashboard expertise (Quicksights, Tableau, Looker, Power BI, or similar)
  • Statistical modeling experience including A/B testing, regression analysis, and user segmentation
  • Gaming industry knowledge of user lifecycle, retention mechanics, and monetization strategies

Game-Changers

  • Sportsbook or betting industry experience - Understanding of betting patterns, line setting, and risk management
  • Sweepstakes/social casino experience - Knowledge of compliance requirements and user behavior in this space
  • Fraud detection experience - Building systems to identify suspicious betting patterns
  • Real-time analytics experience - Systems that can react to user behavior changes quickly

Nice-to-Haves

  • Experience with entertainment/pop culture analytics
  • Machine learning experience for predictive modeling
  • Experience scaling analytics teams

What You'll Get

  • Flexible hours and ownership over your work
  • Direct leadership access - You'll work closely with founders and shape company direction
  • Career growth - Opportunity to build and lead the data team as we scale

Our Culture

We're building something new in the intersection of gaming, betting, and pop culture. We value critical thinking over credentials and encourage contrarian viewpoints. You'll have real ownership over strategy and the freedom to challenge assumptions.

This role is perfect for someone who wants to architect a data-driven betting platform from the ground up, with the opportunity to evolve into a senior data science role as we scale.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesEntertainment Providers

Referrals increase your chances of interviewing at Goss by 2x

Get notified about new Senior Data Analyst jobs inUnited States.

United States $90,000 - $100,000 1 week ago

Senior Workforce Management Data Analyst

United States $136,400 - $178,300 2 weeks ago

United States $105,000 - $135,000 1 week ago

Senior Business Data Analyst, Member Experience ReportingSr. Data Risk and Controls Analyst (Remote)

Arizona, United States $130,000 - $160,000 1 week ago

United States $100,000 - $140,000 1 week ago

Sr. Data Risk and Controls Analyst (Remote)Senior Technical Business Analyst (Data Focused [Azure or Fabric])

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Jobs

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Careers

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.