Must-Have Skills: - Strong experience with Azure Cloud Platform services. - Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines. - Proficiency in SQL for data analysis and transformation. - Hands-on experience with Snowflake and SnowSQL for data warehousing. - Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse. - Experience working in cloud-based data environments with large-scale datasets.   Good-to-Have Skills: - Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions. - Familiarity with Python or PySpark for custom data transformations. - Understanding of CI/CD pipelines and DevOps for data workflows. - Exposure to data governance, metadata management, or data catalog tools. - Knowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus. EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com. EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers. EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

• Develop and operationalize scalable and reliable data pipelines. • Assemble large, complex data sets that meet functional and non-functional business requirements. • Experience in database management techniques including logical data modeling, physical database optimization and security. • Keep improving the integrity of data pipelines by setting up Data Quality checks to provide a comprehensive data service. • Work with Data and Analytics experts to strive for greater functionality in our data systems. • Experience with On-Call support and unblock users based on severity of the issue.

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 Clinical Data Abstractor 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 a Clinical Data Abstractor, you will primarily be responsible for procuring historical demographic, diagnostic, clinical, epidemiologic, and administrative patient level data from medical records into a computerized case record system following defined procedures. You will partner closely with the clinical Informatics team in transforming the data into digital formats, and demonstrate strong communication, documentation, organization and planning skills, and maintain consistently high abstraction quality performance metrics. Responsibilities: - Extraction and indexing of free text data elements from medical records and reports. - Work closely with Data Operations and subject matter experts to refine processes for data curation and build a standardized data warehouse. - Maintain minimum performance standards as measured by pre-determined metrics. - Contribute to team effort by accomplishing goals as assigned by management. - Support team members with various data mining, management & analysis tasks - Assist in developing and delivering high-quality PowerPoint presentations that effectively communicate key information Education, Experience & Qualifications: - Associate degree or Bachelor’s degree in public health, biology, or other health-related fields, preferred. - Minimum of (3) years previous experience as a healthcare data curator or analyst, or experience in clinical research, a health-related registry, or as a registered nurse or physician assistant in Oncology. - Certified Tumor Registrar (CTR) certification, preferred - Able to identify and extract medical terminology with high level of accuracy. - Knowledge of the Oncology field and key terminology related to diagnosis and treatment. - Knowledge of ICD-10 codes, CPT codes, and medical records, including Pathology reports. - High degree of proficiency and learning agility as it relates to databases and software applications, as well as use of Microsoft Office programs. - Experience with data entry, including strong typing skills. - Excellent oral and written communication skills, including proofreading capabilities. - Exceptional attention to detail.

• Define and broadly communicate DoiT's point of view on platform optimization across Kubernetes and emerging data platforms, grounded in real-world operational experience. • Create and maintain the canonical narratives, mental models, and technical framing of the problem space and its associated solutions that internal teams use as a source of truth. Nothing ships from PMM for Platform that doesn't trace back to your source-of-truth docs. • Ensure the story remains coherent and consistent across products, use cases, and customer segments as the platform evolves. • Work directly with the VP of Product as the primary marketing interface for the Platform business unit. When multiple features, capabilities, or integrations ship in a quarter, decide which ones matter to the market and deserve PMM investment. Filter noise for the organization. • Translate product roadmap into market narrative, connecting what we're building to why buyers should care. • Develop high-quality content such as webinars, technical talks, blogs, and whitepapers that educate the market and shape demand. • Speak publicly at conferences, industry events, and community forums, representing DoiT as a trusted authority. • Engage with practitioner and open source communities to stay close to how platforms are actually built and operated. • Build and deliver live demos, walkthroughs, and reference architectures that demonstrate how optimization works in real environments • Own the living competitive view for the Platform business unit. Not just battle cards, but the ongoing judgment of where we win, where we lose, and what to do about it. • Own executive-level positioning and objection handling in complex or strategic conversations. • Speak regularly with customers and prospects to understand pain points, objections, and emerging patterns across industries. • Help define and refine ICPs and problem domains, including how different industries approach automation, risk, and control. • Synthesize insights into clear, actionable input for Product and leadership to influence roadmap and strategic direction. • Challenge short-term or misleading narratives when they undermine long-term category leadership and trust.