Role Description The Oncology Analyst will support, maintain, and upgrade legacy Oncology applications within a healthcare environment. The role requires a good understanding of clinical Oncology workflows. - Experience in Oncology specific applications: - Insightive - BrainLab - Doc3EHR - Mobius 3D - MUCheck - PipsPro - RadCalc - Elekta Oncentra Brachy - Elekta Teleport - MIM Maestro - Progeny Clinical - ClearCheck - Experience with Procedure Code Libraries and treatment planning systems. - Familiarity with Aria and Mosaiq and their interfaces with the above-listed applications. - Good understanding of servers, including physical, virtual, and Citrix. - Collaborate with clinicians, physicists, and vendors to ensure system continuity during upgrades. - Strong working knowledge of technical server functionality, troubleshooting, and diagnosing issues with HL7 interfaces. - Plan, coordinate, and execute upgrades for servers, virtual machines, and workstations. - Collaborate with customers, vendors, and clinical stakeholders to coordinate upgrade schedules and testing. - Perform integration testing with EMR & HL7 interfaces. - Conduct system validation and regression testing to ensure upgrades meet functional and performance standards. - Provide Level 2/3 support during go-live and hyper care. - Monitor and troubleshoot post-upgrade issues to ensure operational continuity. Qualifications - Experience in Healthcare IT. - Understanding of clinical Oncology workflows. Requirements - 6-12 Months duration. - Rate: $50/hr on C2C. Benefits - Competitive salary. - Opportunity for advancement. - Training & development.

• Own Marketing’s contribution to the Growth Marketing Reporting Framework — tracking funnel metrics from awareness through opportunity creation, ensuring data accuracy across Salesforce, Pardot, BI platforms, and Google Analytics. • Partner with IT Data and Analytics and Sales Ops Analytics to deliver integrated, full-funnel reporting that connects marketing activity to revenue outcomes. • Identify performance trends, anomalies, and optimization opportunities across paid media, email, web, and regional marketing programs; translate findings into clear recommendations for marketing leadership. • Develop and maintain executive-ready dashboards and scorecards in Salesforce or other BI platforms; ensure Growth Marketing leadership has real-time visibility into KPIs without manual intervention. • Build and maintain a consistent measurement framework for campaign performance including attribution modeling appropriate for long, complex K-12 buying cycles. • Own UTM and tracking standards across all paid and owned channels — define, document, and enforce the framework to ensure consistent campaign attribution and source reporting. • Execute contact database segmentation in Pardot/Account Engagement, supporting demand generation, ABM, and nurture programs with clean, targeted audiences. • Own data hygiene protocols — establish and enforce standards for lead data normalization, deduplication, field governance, and source tracking across Salesforce and Pardot. • Audit existing marketing data infrastructure; identify gaps and redundancies; lead remediation in partnership with IT and Sales Ops to eliminate duplicative work. • Serve as Growth Marketing's primary liaison to IT Data and Analytics and Sales Ops Analytics; align on shared data models, pipeline definitions, and reporting cadences. • Coordinate with Sales Ops on lead-to-opportunity conversion metrics, BDR performance data, and pipeline velocity reporting to support lead to opportunity optimization. • Advise on martech data integrations (e.g., intent data from ZoomInfo/Bombora/6Sense) to ensure new tools are properly instrumented and reportable. • Leverage Direct dotted-line India-based analytics and GTM resources on high-volume, repeatable data tasks including list processing, data normalization, campaign record creation in Salesforce, and ad-hoc reporting support. • Define KPIs and performance goals for offshore resources aligned to team priorities; QA deliverables to ensure accuracy standards are met. • Identify and implement AI-assisted workflows to automate manual analytics tasks — including report generation, anomaly detection, segmentation builds, and data QA — reducing time spent on low-value work.

Role Description - Develop and maintain Power BI dashboards to visualize financial and operational data - Perform advanced Excel modeling and analysis to support decision-making - Assist with expense verification and other finance-related tasks - Analyze and interpret Balance Sheets and Income Statements - Support treasury operations and financial planning - Maintain and reconcile data in QuickBooks Online - Ensure accuracy and consistency in financial reporting - Collaborate with cross-functional teams to gather and validate data - Provide insights and recommendations based on financial analysis Qualifications - Proven experience with Power BI dashboard development - Strong proficiency in Microsoft Excel, including pivot tables, formulas, and data modeling - Solid understanding of financial statements and business acumen - Ability to perform mathematical analysis with attention to detail - Experience with QuickBooks Online is a strong plus - Familiarity with treasury tools and processes is a plus - Excellent communication and organizational skills - Ability to work independently and manage multiple tasks Requirements - Proactive and self-motivated - Comfortable working in a fast-paced, remote environment - Eager to learn and take on new challenges - Strong problem-solving skills and analytical mindset

Role Description Rho is looking for a Data Analyst to join us on a freelance basis in Poland. The Data Analyst is responsible for contributing to data analytics projects that support the organization's strategic goals and objectives. This role will use programming and data visualization tools to generate reports for clinical trial study teams and internal stakeholders, fostering informed decision-making and strategic insights. As a Data Analyst, you will have the flexibility to work remotely from Poland while being part of a collaborative and innovative environment. Responsibilities: - Leads the notebook tasks associated with project-specific reporting, working across the project team to ensure final reports meet the needs of all internal stakeholders. - Serves as technical support for Rave EDC build, including custom function programming. - Develops, validates, and makes updates as needed to a library of template notebooks to support reporting needs. - Programs data listings for Protocol Deviation review. - Capture, develop, and document data definitions, business rules, and data quality requirements. - Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis. - Communicate and present data recommendations in a clear and compelling way. - Identify opportunities for data and process improvement, innovation, and optimization. - Participate in projects and tasks related to data integration, data cleaning, descriptive analyses, exploratory analyses, predictive modeling, data mining, text analytics, social media analytics, social network analysis, rapid prototyping, and data visualization to solve problems. - Implement new statistical or other mathematical methodologies as needed for specific models or analysis. Qualifications - Bachelor's degree in data analytics, statistics, mathematics, computer science, or related field. - 0-3 years of experience in data analytics, data science, or data engineering. Experience working in a contract research organization or a related industry is preferred. - Experience in Microsoft Fabric and NetSuite is required. - Demonstrated knowledge in data warehousing, ETL processes, and SQL programming. - Demonstrated knowledge in cloud platforms, particularly Microsoft Azure. - Demonstrated knowledge in data analytics and statistical modeling techniques, such as regression, classification, clustering, optimization, simulation, machine learning, and artificial intelligence. - Proficiency in scripting, data blending, data visualization, and statistical programming languages, such as Python, R, SQL, SAS, Spotfire, Tableau, Power BI, and Alteryx. - Demonstrated knowledge in designing, developing, and maintaining data systems and databases, using data warehousing, data integration, data quality, and data governance principles and tools. - Strong data communication and presentation skills, with the ability to translate data into actionable insights and recommendations for diverse audiences. - Strong analytical and problem-solving skills. - Strong collaboration and interpersonal skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization. - High attention to detail and quality, with the ability to ensure data accuracy, validity, and reliability. - Self-motivated and proactive, with the ability to work independently and under pressure in a fast-paced and dynamic environment. Benefits - Opportunity to experience a thriving company with real stability - financial, workforce, and corporate. - Safe environment to innovate and develop over a long and rewarding career.