Data Analyst

• Analyze player behavior across the full funnel: registration, first deposit, retention, reactivation, churn - and translate findings into actionable product recommendations
• Design, run, interpret A/B tests and quasi-experiments, handle the methodology for measuring feature impact
• Build and maintain cohort-based analyses (LTV, retention curves, payback) to support product and investment decisions
• Define, validate, and monitor product KPIs and metric trees, challenge metrics that don't reflect real business value
• Partner with product managers to prioritize the roadmap based on expected impact, not intuition
• Develop self-service dashboards (Tableau) and data sources to help stakeholders answer routine questions without analyst involvement
• Investigate anomalies in key metrics and communicate root causes clearly to non-technical audiences
• Maintain culture of rigorous, honest analytics: document assumptions, quantify uncertainty, and flag when data can't answer the question
• Own web analytics implementation and data quality: tracking plans, event taxonomy, tag management (GTM), and validation of new tracking releases.

• Uncover retention and growth drivers by leveraging exploratory analytical techniques
• Dive into our data to discover insights on player behavior across different cohorts, segments, and stages of the user lifecycle, and communicate collect feedback on your findings from peers, and business and product partners
• Work with business, product, and engineering teams to [plan → design → ship → evaluate] experiments/AB-Tests, and communicate their results/impact with the company.
• Work directly in BigQuery to extract truths and trends that inform and guide business and product decisions
• Collaborate with analysts/data-scientists in building scalable, and reproducible analyses, and communicate their insights with the company
• Develop tools and best practices to ensure high data quality and identify and prevent errors before they reach production datasets

Senior Data Analyst

• Tenere lezioni private personalizzate su: Excel / Google Sheets (base e avanzato)
• Analisi e interpretazione dei dati
• SQL e database (livello base/intermedio)
• Data visualization (Power BI, Tableau o simili)
• Supportare studenti, junior analyst o career switcher
• Adattare i contenuti alle esigenze dello studente

Data Analyst – Lezioni private, Tutoraggio

• Build and own the canonical data products that Sales, CS, and GTM Ops rely on -- ARR, pipeline, account health, expansion signals, and renewal tracking
• Define and document GTM metric standards so the whole org is working from consistent definitions
• Build and maintain the underlying data models that power GTM reporting and analysis
• Serve as the dedicated analytical resource for Sales, Customer Success, and GTM Ops leadership
• Translate business questions into clean analytical specs and deliver decision-ready findings
• Build self-service tools and context layers that enable GTM teams to answer their own questions -- the goal is scale, not dependency
• Own the GTM analytics function end-to-end, from data model to business strategy
• Connect the dots between CRM, product usage, and billing data to give GTM teams a complete picture of the customer
• Identify gaps and inconsistencies across systems and work cross-functionally to resolve them
• Use AI tools to accelerate analysis, increase output, and go deeper than a traditional analyst workflow allows
• Help establish AI-forward ways of working within the Data Intelligence team and model that approach for the broader GTM org

Staff Data Analyst, GTM

• Responsible for analytic data needs of the business unit
• Handle complex data projects and acts as a mid-level Data Analyst
• Provide advanced analytical support for business operations in all the following areas: Finances, Product Analytics, Marketing promotions
• Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources
• Conduct thorough exploratory data analysis (EDA) to uncover actionable insights and business opportunities
• Utilize statistical techniques and predictive modelling to forecast gaming trends and anticipate player preferences
• Review data to determine operational impacts and needed actions; elevate issues, trends, areas for improvement and opportunities to management
• Develop reports and deliverables for management
• Develop data using data warehouse analytical tools viz SQL, Python and Power BI
• Collaborate with data engineers to design and maintain robust data pipelines, ETL processes, and data warehousing solutions
• Develop and enforce data governance policies and best practices to uphold data quality standards across the organization
• Design, conduct, analyze and report on quantitative and qualitative research
• Display analyses results in text and visualizations to communicate results to the customers
• Ensure the integrity, accuracy, and completeness of data sources through regular data validation and cleansing procedures
• Support annual and ad hoc internal and external reporting requirements and prepare briefings and reports as needed
• Collaborate with cross-functional teams to understand and fulfil the business requirements

Data Analyst jobs in Worldwide

See all jobs on JobTailor

Data Analyst

Senior Data Analyst

Data Analyst – Lezioni private, Tutoraggio

Staff Data Analyst, GTM

Data Analyst