• Lead analytical initiatives supporting Medicare and CMS Risk Adjustment programs • Analyze large healthcare datasets (claims, encounters, enrollment, chart reviews, and clinical data) to: Identify RAF optimization opportunities • Monitor coding accuracy and completeness • Assess financial and operational impact of risk score changes • Develop and maintain SQL‑based data pipelines and analytic models in large data warehouse environments • Produce executive‑level reporting and dashboards addressing: HCC performance • Coding gap closure • Suspect and recapture outcomes • Provider and member impact • Translate CMS regulations, risk adjustment models, and technical findings into clear business insights • Partner with coding, clinical, compliance, and operational leaders to support risk‑adjustment initiatives • Serve as a subject matter expert on Medicare data, metrics, and CMS standards • Lead or support analytic projects end‑to‑end, including scope definition, analysis, and stakeholder delivery

Role Description In this role, you'll be at the forefront of cross-team collaboration, serving as the go-to expert for accounting partners in the data engineering and engineering spaces, creating a dynamic blend of responsibilities. Your days will be filled with: - Reviewing data using SQL and Python - Conducting in-depth data analysis and investigation - Designing intricate drawings and flows - Contributing to groundbreaking accounting research and design requirements Join us in this opportunity to not only apply your existing skills but also to cultivate new ones in a role that combines the best of both data engineering and accounting realms. Make your mark in a stimulating and remote-friendly environment where your expertise will be valued and your career can thrive. You’re excited about this opportunity because you will: - Work cross functionally with Technical Accounting, Operational Accounting, Engineering, Product, Finance, Tax, Legal, and various business owners on policies, processes, and programs, and help drive key system initiatives and improvements - Develop and design comprehensive accounting data requirements to facilitate the seamless automation of journal entries, ensuring accuracy, completeness, compliance, and efficiency in financial processes - Lead operational improvement initiatives to further streamline revenue tasks and shorten the revenue close calendar - Monitor data quality of journal entries configured via the Revenue Subledger and design Data Quality checks for identified use cases via accounting requirements design, ad hoc investigations, new product launches, etc. - Work with the Product and Engineering teams to continuously improve our daily Revenue Reconciliation process and manage reconciliation analysis with the help of the analytics team - Review new product designs showcased during internal Financial Compliance Review meetings and assess impact on existing or need for new accounting requirements for the Revenue Subledger - Cross collaborate with partnering teams on the journal entry flows for the new or existing products for automation via the Revenue Subledger - Perform monthly revenue accounting close responsibilities, including but not limited to: GAAP revenue analysis, cost of revenue analysis, accounts receivable reconciliations, review journal entries, and review close package deliverables - Ad hoc analyses and projects as assigned Qualifications - Bachelor’s degree in Finance, Accounting, Computer Science, Data Science, or related field - 3+ years of experience in revenue accounting, data analytics, and/or business intelligence - Strong knowledge of US GAAP, ASC 606 Revenue Recognition required; knowledge of IFRS a plus - Intermediate/advanced SQL skills and ability to work with large volumes of transactional data, Python a plus - Strong analytical and problem solving skills and ability to adapt to changing work environments - Ability to interact with all levels of management and cross-functional teams, both internally and externally Company Description At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks. We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Role Description The Estimator – Data Center Operations supports the preparation, analysis, and development of project cost estimates for data center infrastructure projects. This role is ideal for detail-oriented professionals with a technical mindset who want to grow within data center construction, structured cabling, and mission-critical operations. The Estimator will work closely with project managers, engineers, procurement teams, and vendors to ensure accurate and competitive estimates that support successful project delivery and profitability. Position Details: - Exempt Salaried position based upon experience; weekly salary broken down hourly for invoicing purposes only. - Contract with possible contract extension or hire. - Standard work hours: Must be flexible, varies upon project demands. - Location: Remote - near Plano, TX. - Travel - up to 15% (mainly to Plano HQ). Key Responsibilities - Assist in preparing cost estimates, bills of materials (BOMs), and labor projections for data center construction and infrastructure projects. - Interpret blueprints, specifications, and scope documents to determine project requirements. - Collaborate with project engineers, field operations, and procurement to validate material quantities, labor rates, and vendor quotes. - Perform take-offs for structured cabling, electrical, and mechanical systems related to data centers. - Support bid preparation and submission for RFPs and client proposals. - Update and maintain historical cost data, unit pricing, and vendor rate databases. - Assist with change order analysis, validating scope adjustments and cost impacts. - Ensure all estimates comply with company standards, safety requirements, and client expectations. - Participate in site visits and pre-bid meetings to gather technical and logistical details. - Contribute to process improvements that increase estimating accuracy and efficiency. Qualifications - Associate or Bachelor’s degree in Construction Management, Engineering, or a related technical field. - 3-5 years in estimating, project coordination, or data center construction (internships or field experience acceptable). - Knowledge of Division 27 construction specifications in ISP environments. - Strong understanding of electrical, mechanical, or cabling systems used in mission-critical facilities. - Proficiency in Microsoft Excel, Bluebeam, and estimating software (e.g., Trimble, Accubid, or PlanSwift). - Ability to read and interpret technical drawings and specifications. - Strong numerical accuracy, analytical thinking, and attention to detail. - Excellent communication and teamwork skills. Preferred Qualifications - Familiarity with BICSI standards, data center design concepts, or structured cabling. - Exposure to vendor bid comparisons, RFP processes, or cost control systems. - Basic knowledge of AutoCAD, Revit, or construction scheduling software. - Experience working in a fast-paced environment with tight deadlines and multiple stakeholders. Key Competencies - Analytical mindset with strong problem-solving skills. - Eagerness to learn and advance within the estimating and project management career path. - Collaborative and dependable team contributor. - Resilient and adaptable to changing priorities in a high-volume environment. Career Path This position serves as an entry point into Data Center Project Estimating and Operations Management, with growth potential toward roles such as Estimator, Senior Estimator, or Project Engineer. Note This job description outlines the general nature of the responsibilities and duties executed by this position. Other responsibilities and duties may be assigned as reasonably needed or required.

• Lead initiatives to build intelligent insights and automated analysis workflows that improve efficiency and decision-making. • Identify high-impact Finance Operations use cases and translate them into scalable analytical and decision-support solutions. • Partner with Finance Operations, Data, and other cross-functional teams to design, scale, and automate financial data products and dashboards. • Lead the design of scalable datasets, analytical models, and dashboards that enable forecasting, performance tracking, and risk management. • Design robust datasets and perform complex SQL queries across multiple systems to ensure data accuracy, usability, and scalability. • Lead complex analyses (e.g., revenue, cash flow, bad debt) to uncover drivers of performance and turn insights into measurable outcomes. • Present insights to senior leadership and produce executive-level materials with clear, data-driven narratives. • Influence cross-functional teams (Finance, Finance Operations, Sales, Data Engineering) by bringing structure to ambiguity and driving alignment.