Role Description As a Sr. Analytics Engineer, you will drive the architecture, development, and optimization of our analytics infrastructure. You’ll work closely with cross-functional teams (data science, engineering, security, and product) to ensure that the company leverages data insights effectively to drive business decisions, enhance product security, and support our growth. Your primary responsibility will be to design and implement data models, pipelines, and analytics frameworks that empower internal and external stakeholders with secure, accurate, and actionable data insights. Responsibilities - Architect, build, and maintain robust, scalable data pipelines and analytics infrastructure that supports real-time data insights and reporting. - Design efficient and secure data models and warehouses that facilitate optimized querying, reporting, and analytics workflows. - Implement, maintain, and optimize ETL/ELT processes that handle the ingestion, transformation, and loading of large, complex datasets, ensuring data quality and security at every step. - Collaborate with data scientists, security engineers, and product managers to gather requirements, prioritize projects, and build analytics solutions that directly contribute to business objectives. - Ensure that all data-related processes meet the highest standards of security, privacy, and compliance (GDPR, CCPA, etc.). Work closely with the security team to design secure analytics environments. - Continuously monitor and optimize data infrastructure performance for scalability, efficiency, and reliability. - Develop data visualizations, dashboards, and reporting systems that enable stakeholders to easily access key insights and metrics. - Automate routine tasks and processes, leveraging modern data tools and frameworks to improve team efficiency. Qualifications - 5+ years of experience as a data/analytics engineer, with at least 2+ years in a senior role. - Expert in SQL, Python, or R for data analysis and transformation. - Proficient in data modeling and database design (e.g., Snowflake, Redshift, BigQuery). - Deep experience with ETL/ELT tools (e.g., dbt, Airflow, Apache Spark) and cloud data platforms (AWS, GCP, or Azure). - Strong understanding of data warehousing concepts, architecture, and technologies. - Experience with modern BI tools (e.g., Looker, Tableau, PowerBI). - Familiarity with data versioning, CI/CD, and DevOps practices for analytics engineering. - A strong background or understanding of data security principles, encryption, and compliance standards (e.g., GDPR, CCPA). - Proven ability to handle complex datasets, troubleshoot issues, and find innovative solutions. - Strong written and verbal communication skills with the ability to convey technical information to non-technical stakeholders. Compensation Information Compensation Range: $160,000-$200,000. The range represents total compensation, and may include incentive for sales roles, equity or benefits, as applicable. This compensation range represents Cyera’s good faith and reasonable estimate of the range of possible compensation for this role at the time of posting, and Cyera may ultimately pay more or less than the posted range. The final salary for this position will be determined in Cyera’s sole discretion, consistent with applicable law, and based on a variety of factors, including but not limited to the employee’s work experience, skills, and qualifications for the role, as well as the needs of Cyera’s business and other operational considerations. Final compensation will vary based on seniority and relevance of experience, location, and position requirements. This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors. Benefits - Ability to work remotely, with office setup reimbursement - Competitive salary - Unlimited PTO - Paid holidays and sick time - Health, vision, and dental insurance - Life, short and long-term disability insurance

Role Description We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award-winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ What you’ll be working on: - The Analytics Engineering team is responsible for building downstream data models from backend services. - Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases. - Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost. - Help define and manage best practices for our Data Warehouse, including payload design of source data, logical data modelling, implementation, metadata and testing standards. - Set standards and ways of working with data across Monzo, working collaboratively with others. - Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse. - Contribute to prioritisation of data governance issues. - On call support out of hours will be expected from time to time as part of this role. Qualifications - You enjoy working with cross functional fast moving teams and are passionate about serving small businesses. - You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers. - You have a strong passion for data modelling, ETL projects, and Big Data. - You enjoy working with data streams from various services, such as financial, transactional, and operational systems. - SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. - You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. Requirements - Any experience working within a finance function or knowledge of accounting. - Experience working in a highly regulated environment (e.g. finance, gaming, food, health care). - Knowledge of regulatory reporting and treasury operations in retail banking. - Exposure to Python, Go or similar languages. - Experience working with orchestration frameworks such as Airflow/Luigi. - Have previously used dbt, dataform or similar tooling. - Used to AGILE ways of working (Kanban, Scrum). Interview Process - 30 minute recruiter call. - 45 minute call with the hiring manager. - Take home task. - 2-part final stage. Benefits - We can help you relocate to the UK. - We can sponsor visas. - This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). - We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. - Learning budget of £1,000 a year for books, training courses and conferences. - And much more, see our full list of benefits. Equal Opportunities Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone.

Role Description You are a detective investigating client web analytics data to shape our understanding of what is happening on their website. This is a great opportunity for someone early in their analytics career who’s eager to learn, dependable, and comfortable working with data and tools across the funnel. Qualifications - Google Sheets: Strong working knowledge. - English Communication: Fluent in spoken and written English. - Learning: Quick learner who can adapt to a wide range of client tools. - Data Literacy: Strong understanding of how data works and high attention to detail. Requirements - Data Analysis: Study client website data and create reports using Google Sheets, Analytics software (e.g., Google Analytics 4), CRM Tools (Hubspot, Marketo, Salesforce, etc.). - Data Issue Analysis: Detect data anomalies and find root causes. - Requirements Gathering: Communicate with project managers to adjust key reports tailored to specific client needs. - Organization: Maintain a database of reports to ensure up-to-date documentation. - Opportunity Spotting: Use data analysis to find the best opportunities on the client page for A/B testing. Benefits - Clear promotion opportunities: We invest heavily in training and promote almost exclusively from within. Most leaders at Spiralyze started in entry-level roles. - Indefinite contract: This role is offered as a permanent position, giving you the opportunity to grow and develop over the long term. - Tech reimbursement: Need a better computer, monitor, or setup? Want training on Figma or GA4? We’ll help. - In-demand skills: You’ll learn Conversion Rate Optimization from the most experienced experimentation teams in the world. - Time to recharge: 20 days of paid vacation plus holidays. - Flexible working hours: Must overlap 8am - 12pm EST (New York Time); the rest of the hours are flexible.

Role Description As an Analytics Team Lead, you will provide technical and project leadership across analytics engagements, using global data from the largest, real-time fraud detection platform to craft solutions for our enterprise customers and deliver against strategic projects. Your experience with data analysis, fraud, and technology will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses, and increased customer profitability. This role will involve a mix of internal collaboration and customer-facing work; the balance may vary based on business needs and project demand. Responsibilities - Lead analytics workstreams end-to-end: scope and plan deliverables, align stakeholders, and ensure delivery is on track. Provide day-to-day guidance and mentorship to analysts and partners (without direct people management responsibility initially). - Perform data analysis to identify both high-risk and trusted behaviours, translating findings into actionable insights ranging from intuitive rules to high-performing policy and score optimisations. You will design, test, and deploy single- and multi-product solutions on our Dynamic Decision Platform. - Stay ahead of fraud and industry trends and continuously propose new ways to fight emerging and dormant threats. Inspire the wider team to do the same and think outside the box beyond the data. - Produce materials summarising your analysis and present compelling narratives to customers and prospects. Guide your team to do the same through regular coaching, brainstorming, and maintaining best practice documentation. - Develop, standardize, and implement best practices and reusable assets (analytics playbooks, scripts, reporting/presentation templates, and repeatable processes) to scale analytics delivery across the National Cross Market Professional Services team. Provide enablement such as deck creation support and storytelling training to raise the bar on insight communication. - Collaborate with wider LNRS teams including Product, Engineering, Sales, and Marketing to help shape and improve our products and external messaging. Help quantify and champion the value and impact of analytics Professional Services engagements internally and externally. - Demonstrate a professional and customer-centric persona when interacting with internal stakeholders and, as needed, directly with customers via phone, e-mail, and chat. Qualifications - Proven analytics leadership in the security, fraud, financial crime, or payments industry—leading complex engagements end-to-end and influencing stakeholders without formal authority (experience in banking or other large enterprises preferred). - Strong interest in working with both large and small datasets; advanced SQL is required, and Python is preferred. - Demonstrated ability to choose and apply statistical/analytical techniques appropriately, with strong critical thinking and attention to detail (quantitative degree preferred). - Deep curiosity about fraud and financial crime patterns, including account takeover, scams and social engineering, Card Not Present (CNP) fraud, money laundering, mule activity, and synthetic identity. - Experience with fraud/risk decisioning platforms and operational analytics (e.g., ThreatMetrix, Featurespace, Hunter, iovation, BioCatch, Actimize/Falcon, etc.); experience delivering solutions in multi-product decisioning environments is a plus. - Polished communicator and presenter with the ability to remain calm and credible when ideas are challenged, maintaining a professional and customer-centric approach in internal and external interactions. Requirements - U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. - If performed in Illinois, the base pay range is $121,200 - $201,900. - If performed in Chicago, IL, the base pay range is $126,900 - $211,500. - If performed in New York, the base pay range is $126,900 - $211,500. - If performed in New York City, the base pay range is $138,400 - $230,700. - If performed in Rochester, NY, the base pay range is $115,400 - $192,300. - If performed in Ohio, the base pay range is $109,500 - $182,700. - This job is eligible for an annual incentive bonus. Benefits - We are delighted to offer country-specific benefits. Click here to access benefits specific to your location. Company Description We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.