Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity. We believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base! We have highly competitive benefits with a variety HMO and PPO options. We have company 401k match along with an Employee Stock Purchase Program. We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays. We offer wellness courses and have highly engaged employee resource groups. Come join the Neo team and be part of our amazing World Class Culture! NeoGenomics is looking for a Enterprise Analytics Lead who wants to learn to continue to learn in order to allow our company to grow. This is remote position with a Monday – Friday, day shift. Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics: As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory. Position Summary: As the Enterprise Analytics Lead you will play a crucial role in optimizing business processes and decision-making through advanced quantitative and qualitative analysis. You will partner with senior leaders, lead requirements gathering, create and maintain reporting dashboards, and provide actionable insights through proactive communication. Responsibilities: - Design, develop, and maintain reports, dashboards, and visualizations for senior leaders to use in the management of functional activities - Translate business objectives into scalable analytics architecture and data-driven solutions - Utilize statistical analysis, optimization techniques, and mathematical modeling to analyze complex business problems and provide data-driven solutions - Apply advanced analytics and data mining techniques to identify trends, forecast outcomes, and recommend improvements - Ensure analytics solutions are aligned with KPIs and business goals across departments - Assist in decision-making processes by providing insights and recommendations based on thorough analysis of data - Work closely with business units to gather requirements and define metrics and KPIs - Translate business questions into technical solutions using best-in-class analytics methodologies - Partner with business leaders, product teams, and IT to understand analytical needs and prioritize initiatives - Act as a strategic advisor to stakeholders by identifying key metrics and recommending data-informed decisions Education, Experience & Qualifications: - Bachelor’s Degree in Operations Research, Mathematics, Statistics, Engineering, Data Science, or related field or equivalent work experience required; Master’s degree preferred - 5 or more years of experience in operations research, data/business analytics, data science, or reporting and analytics functions with 3 or more years working with analytics platforms such as PowerBI, Tableau, SPSS, SAS, etc. - Familiarity with Agile methodologies, data cataloging, and metadata management - Excellent communication skills to effectively convey complex technical concepts to non-technical stakeholders - Ability to work collaboratively in a team environment and adapt to changing priorities - Strong knowledge of healthcare, diagnostic lab business, and the pharma/biopharma industries - Experience within medical diagnostics, biotech, clinical laboratories, or healthcare industries preferred - Familiarity with biotech operations systems (LIMS, LIS, ELN, etc.)

Tiger Tracks is a fully remote performance marketing agency founded by former Google leaders and ranked #123 on the 2025 Inc. 5000. We work with growth-stage and enterprise brands to drive measurable outcomes through paid media, analytics, and data-driven strategy. Our team of 27 is lean, high-performing, and deeply committed to accountability in everything we build. The Opportunity We are looking for an Analytics & Conversion Tracking Specialist to own the technical measurement layer across our client accounts. This is a high-impact, hands-on role at the intersection of paid media and data infrastructure -- you will be responsible for making sure that every dollar our clients spend is tracked, attributable, and reportable with confidence. You will work closely with our internal analytics lead and client success team to resolve tracking issues, implement best-in-class measurement setups, and build the systems and documentation that allow us to scale without sacrificing accuracy. What You Will Own Conversion Tracking Implementation - Own end-to-end implementation of conversion tracking across Google Ads, Meta, and other paid platforms using Google Tag Manager (client-side and server-side), GA4, and pixel/event configurations - Build and maintain GTM containers across client accounts -- including tags, triggers, variables, and data layer configurations - Set up and troubleshoot pixel, tag, and event configurations to ensure clean, complete data across all active campaigns - Ensure accurate attribution across the funnel, from click to conversion, in support of paid media performance reporting Paid Media Team Support - Work directly with the paid media team to ensure conversion events, attribution windows, and reporting signals are correctly configured for each platform - Troubleshoot discrepancies between ad platform data and analytics data and communicate resolution clearly to media buyers - Support campaign launches by confirming tracking is verified and firing correctly before media spend goes live - Translate tracking findings into actionable guidance the paid media team can act on without needing to go back to source data Issue Resolution & Triage - Audit existing tracking setups to identify gaps, misconfiguration, and data quality issues - Manage and close out a backlog of active tracking issues across client accounts - Serve as the escalation point for tracking-related client concerns Analytics & Reporting Infrastructure - Configure GA4 properties, data streams, audiences, and conversion events - Support the build and maintenance of client-facing reporting dashboards - Partner with the account team to translate tracking data into actionable performance insights Process & Documentation - Develop and maintain a tracking implementation playbook for use across accounts - Document all active tracking setups in a centralized, accessible format - Build QA checklists and routine audit processes to catch issues before they reach clients What We Are Looking For Required - 3+ years of hands-on experience with conversion tracking and analytics implementation in a performance marketing or agency context - Deep proficiency with Google Tag Manager -- you build and manage containers, configure data layers, and troubleshoot both client-side and server-side setups independently - Strong working knowledge of GA4, Google Ads conversion tracking, and Meta Pixel / CAPI - Direct experience supporting a paid media team -- you understand how tracking accuracy affects bidding, reporting, and optimization decisions - Experience auditing and troubleshooting complex, multi-platform tracking setups - Familiarity with attribution models and their implications for paid media optimization - Strong communication skills -- you can explain a tracking issue to a non-technical stakeholder or media buyer clearly Preferred - Experience in a fast-paced agency environment managing tracking across multiple client accounts simultaneously - Familiarity with Looker Studio, BigQuery, or similar data tools - Exposure to server-side tracking solutions (Stape, Elevar, or similar) - Working knowledge of first-party data strategies and cookie consent frameworks How We Work Tiger Tracks is fully remote. We operate with a high degree of autonomy and expect team members to take ownership, communicate proactively, and close things out without needing to be chased. If you thrive in an environment where the work is real, the stakes are high, and the team is excellent, this is the right place. Compensation Competitive with market rates for specialists at this level. Engagement structure (full-time or contract) and comp to be discussed based on experience and scope.

• Build and refine ICP models leveraging firmographic, technographic, and behavioral data to sharpen targeting and pipeline quality. • Design and implement GTM workflows that enrich prospect data at scale. • Identify and eliminate repetitive, manual processes across the RevOps org through automation, including building custom pipelines when off-the-shelf integrations won't cut it. • Architect integrations across the full GTM stack to maximize data fidelity, reduce friction, and ensure every system talks to every other system reliably. • Partner with Sales, Marketing and Product Marketing to drive GTM strategy and execution.

🚀 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 ❤️ 📍 Barcelona, Spain | 💰€93,500 - €126,500 + Benefits | Hear from the team ✨ ⭐Our Borrowing team Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. Data is crucial to the success of this mission and Borrowing Analytics Engineers are at the core of how we build, scale and re-architect our Borrowing Data Warehouse to enable Monzo to make better decisions, faster, and help serve Monzo’s customers better. ⭐ Our Analytics Engineering team Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Money, Borrowing, Operations and Financial Crime and beyond. The AE teams are responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building a reliable and scalable Data Warehouse to support decision making in a cost effective and performant manner. Managers within Data have two primary responsibilities; people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times and celebrating their successes. You will also be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail. There will be a strong focus on delivering best practice across all of our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this. 🔑 You’ll play a key role by... Working in a multi-disciplinary team, you will: - Be a hands on leader in building a discipline of exceptional analytics working to make Data at Monzo the gold standard within the industry. - Nurture between 6 and 7 engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others. - Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives. - Be hands on through participating in the review cycle, architecture and design leadership and development of your own changes to the pipelines - Be part of the hiring team within Analytics Engineering - Work closely with other leads to deliver a scalable, consistent approach to governance and best practices. - Drive effective project management of central Analytics Engineering projects, ensuring they’re well scoped and delivered to deadlines. - Establish yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, be it either hands-on or by leading others. - We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role 🤩 We’d love to hear from you if… You have experience managing or mentoring the performance and development of high-performing engineers. - You have strong experience in data warehousing architecture at scale - You have experience and a passion for leading data warehousing, data visualisation, big data or ETL projects as an analyst, developer, designer or architect. - You know what it takes to hire great engineers within the data space. - You’re equally comfortable working hands on and leading a team. Nice To Haves: - Any experience working within a finance or banking environment - Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care). - Experience with any of our stack of dbt, BigQuery and Looker Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you! 🙌 What’s in it for you 💰Base salary range for this role is dependent on experience + benefits 📍Barcelona, Spain ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits. 🌈 The application journey has 3 key steps Recruiter Screening Call Initial Call Final Loop (3 sessions - case study, collaboration and people leadership) This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. For more insight into the AE team at Monzo, check out our podcast with John Azzopardi one of our Senior Leaders in AE #LI-AS #LI-Remote Equal opportunities for everyone 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. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊