Role Description This role is responsible for designing, building, and maintaining the data infrastructure and analytics capabilities that support supply chain and operational decision-making. The position combines hands-on data engineering, business intelligence, and system support responsibilities to ensure data is accurate, accessible, and actionable across enterprise platforms. The individual will work across systems such as ERP, project management platforms, and reporting tools to develop scalable data pipelines, dashboards, and integrations. This role bridges the gap between technical development and business operations by translating operational needs into reliable data solutions and insights. - Design, build, and maintain data pipelines and integrations across enterprise systems (ERP, project management tools, and other operational platforms). - Develop and manage data models that support reporting, analytics, and operational workflows. - Own and enhance reporting environments, including dashboards, KPIs, and self-service analytics tools (e.g., Power BI). - Ensure data accuracy, integrity, and consistency across systems through validation, monitoring, and governance practices. - Partner with Supply Chain, Finance, IT, and Operations teams to translate business requirements into scalable data and reporting solutions. - Support and optimize existing data infrastructure, including queries, transformations, and refresh processes. - Analyze operational and supply chain data to identify trends, inefficiencies, risks, and cost-saving opportunities. - Assist in the design and implementation of system workflows and integrations to improve end-to-end process efficiency. - Maintain documentation for data models, pipelines, and reporting logic to ensure transparency and auditability. - Serve as a key resource for troubleshooting data issues, reporting discrepancies, and system-related questions. - Contribute to data governance efforts, including master data management, standardization, and change control processes. - Support ad hoc data requests, analysis, and reporting needs from internal stakeholders. - Other duties as assigned. Qualifications - Bachelor’s degree in information systems, Data Analytics, Computer Science, Business, or a related field required. - 3–7 years of experience in data engineering, business intelligence, analytics, or a related role required. - Experience building and maintaining data pipelines and transformations (e.g., SQL, Power Query, Python, or similar tools) required. - Strong proficiency in data visualization and reporting tools (e.g., Power BI, Tableau). - Experience working with ERP or operational systems (NetSuite, Salesforce, SAP, Oracle, or similar). - Solid understanding of data modeling concepts and relational databases. - Strong analytical and problem-solving skills with attention to detail. - Ability to translate business requirements into technical solutions and actionable insights. - Experience working in cross-functional environments with both technical and non-technical stakeholders. - Familiarity with data governance, data quality, and validation best practices preferred.

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.