• Leading the Europe data team in developing a data strategy, roadmap, and resource allocation that maximizes impact for 3D & Mockups, Photo AI groups and Charts team. • Ensure the Europe data roadmap is well aligned with the Design Experience product strategy and Data Science subspecialty direction • Identify opportunities for collaboration and cross-group and cross-supergroup sharing amongst the Europe data scientists • Facilitate connectivity and accountability amongst the Europe data team, improving Canvanaut engagement and retention. • Shaping the future of data’s role in product lifecycle through experimentation, storytelling, and strategic influence. • Helping us extend data literacy and curiosity throughout the region.

Role Description We're looking for a senior analytics professional who can step in and immediately strengthen how we build, scale, and deliver customer analytics for some of the world's most recognized brands. This is a high-impact, hands-on role — you'll be developing reproducible analytical methodologies, building predictive models, and helping shape the next generation of capabilities on our analytics team. You'll work closely with our internal product and strategy teams to translate business questions into rigorous, scalable analytical solutions. You won't just run analyses — you'll build the frameworks and pipelines that make our insights repeatable, reliable, and ready to operationalize. This role is ideal for someone coming from a CRM, media, or customer analytics background who wants to apply their modeling and data engineering skills in the loyalty and customer experience space. Over time, you'll have the opportunity to help us build entirely new service capabilities — particularly in marketing analytics, lifecycle analytics, and CRM optimization. Qualifications - 5–8+ years of experience in customer analytics, CRM analytics, marketing analytics, or a related quantitative field - Strong proficiency in SQL and Python for data analysis, feature engineering, and model development - Demonstrated experience building segmentation, targeting, and/or predictive models (e.g. propensity, churn, LTV, lookalike) - Track record of developing reproducible, well-documented analytical methodologies and model prototypes that can be handed off to engineering teams for productionization - Experience working with large-scale customer or transactional datasets - Ability to work independently, manage competing priorities, and deliver high-quality work with minimal oversight - Strong communication skills — you can explain complex methodology to non-technical stakeholders clearly and concisely Requirements - Experience with Snowflake or another modern cloud data warehouse (BigQuery, Databricks, Redshift) - Hands-on experience with digital/behavioral analytics platforms (Google Analytics, Adobe Analytics, Amplitude, Mixpanel, or similar) - Background in CRM lifecycle analytics — campaign measurement, journey analytics, contact strategy optimization - Familiarity with the loyalty, retail, or QSR industries - Experience mentoring or developing junior analysts - Comfort working in a consulting or agency environment with multiple concurrent projects

• Recommend underwriting, line/limit, and policy changes to responsibly grow approvals and usage (e.g., cutoffs, segmentation, decision logic), using internal behavior, external risk signals, and reject inference techniques. • Develop cross-product customer credit profiles by connecting external credit attributes to on-us behavior, and identify signals that generalize across products vs. are product-specific. • Drive outcomes from uncovering insights in monitoring, to recommending and executing against strategic insights. • Design, execute, and analyze experiments (A/B tests, holdouts, policy tests), turning results into strategic recommendations and roll-out plans. • Intertwine analytics with business and product strategy to craft business proposals that ultimately impact the bottom-line. • Dig into user behavior and “double-clicks” of the data to identify high-impact opportunities for product improvements or targeted outreach, including second-order impacts. • Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in product analytics. • Share business insights and product enhancement recommendations to senior leadership and stakeholders effectively and concisely.

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Identity Lifecycle team at Cash App ensures that our understanding of "who a customer is" stays accurate, compliant, and useful long after day one. In this role, you'll be embedded within the Trust: Identity & Controls organization and work closely with engineering, machine learning, risk, compliance, tax, and product partners to design and evolve the systems that manage customer identity over time-names, addresses, tax identities, KYC refreshes, and re‑verification when something changes or looks off. You'll use data and experimentation to shape policies and flows that keep identity data high‑quality while minimizing friction, and you'll directly influence how that identity state powers limits, eligibility, and access decisions across Cash App's ecosystem. Because identity is at the core of both customer trust and regulatory expectations, a strong sense of ownership, urgency, and appreciation for how these systems impact real customers' ability to use Cash App is absolutely critical in this position. Work from anywhere: This role can be performed from any location in the US with the flexibility to work from home You Will Partner directly with the Cash App Trust Product org, working closely with machine learning, operations, engineers, product, legal, and compliance teams Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior Design and analyze A/B experiments to evaluate the impact of changes and optimize our risk actions Work with engineers to log new, useful data sources to reflect our risk and product features Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team Build and share data visualizations and self-serve dashboards for your partners Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis You Have Previous exposure to or interest in areas like risk, fraud, statistical reporting methods, or regulatory data science A bachelor degree in statistics, data science, or similar STEM field with 8+ years of experience in a relevant role OR A graduate degree in statistics, data science, or similar STEM field with 6+ years of experience in a relevant role Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) Experience with scripting and data analysis programming languages, such as Python or R Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities Technologies We Use and Teach SQL, Snowflake, etc. Python (Pandas, Numpy) Tableau, Airflow, Looker, Mode, Prefect We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page . While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted. Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.