This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Under minimal direction, the Ambulatory Lead Analyst will be responsible for the design, build, testing, training, and support of the Electronic Health Record (EHR) system. This position will also play a pivotal role in the optimization and configuration of the EHR system and collaborates with cross-functional teams to ensure the effective utilization of Epic applications to enhance patient care and operational efficiencies. The Lead Analyst requires little or no supervision as they build and maintain the system and exercise independent judgement and discretion in carrying out day-to-day support related activities. - Perform complex design and analysis tasks related to hospital business operations. - Mentor and provide guidance to other Ambulatory analysts, fostering their professional growth and development within the organization. Qualifications - Bachelor's degree in Healthcare Informatics, Nursing, Computer Science, Information Technology, or related field. - Certification in Epic applications (e.g., Epic Ambulatory, etc.) and any new certifications must be obtained within 3 months of hire. - Three (3) years of experience implementing, configuring, and supporting Epic EHR applications. - Three (3) years of experience in a leadership or senior role, with the ability to lead and mentor a team of analysts effectively. - Proficiency in system configuration, customization, and optimization within the Epic environment. - Strong understanding of hospital business operations and structure, clinical workflows, and general requirements in an integrated delivery system. - Technical expertise in subject matter areas demonstrated by documented experience in analysis, process design and workflow, research, installation/implementation, and support of EHR systems. - Ability to independently prioritize work assignments, meet deadlines, and manage multiple projects and/or priorities. - Excellent communication skills, both verbal and written, with the ability to effectively collaborate with cross-functional teams. - Commitment to maintaining the highest standards of quality, accuracy, and integrity in all work activities. - Able to travel up to 50% and take calls as needed. Requirements - Prior experience in EMR implementations and/or support with two or more Epic applications. - Experience with project management methodologies and tools. - PMP Certification. Benefits - Competitive compensation. - Comprehensive benefits package providing flexibility to tailor benefits according to individual needs. - Paid time off. - 401K retirement plan. - Medical, dental, and vision coverage. - Tuition reimbursement. - Many more voluntary benefit options.

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description About BioLife Plasma Services BioLife Plasma Services, a subsidiary of Takeda Pharmaceutical Company Limited, is an industry leader in the collection of high-quality plasma, which is processed into life-saving plasma-based therapies. Some diseases can only be treated with medicines made with plasma. Since plasma can’t be made synthetically, many people rely on plasma donors to live healthier, happier lives. BioLife operates 250+ state-of-the-art plasma donation centers across the United States. Our employees are dedicated to enhancing the quality of life for patients and ensuring that the donation process is safe, straightforward, and rewarding for donors who wish to make a positive impact. When you work at BioLife, you’ll feel good knowing that what we do helps improve the lives of patients with rare diseases. While you focus on our donors, we’ll support you. We offer a purpose you can believe in, a team you can count on, opportunities for career growth, and a comprehensive benefits program, all in a fast-paced, friendly environment. This position is currently classified as “Remote/Virtual” in accordance with Takeda’s Hybrid and Remote Work policy. OBJECTIVES/PURPOSE The BioLife Forecasting, Pricing & Analytics (FPA) team within the Plasma-Derived Therapies (PDT) business unit at Takeda is seeking a Senior Pricing Analyst. This role is critical for the FPA team, as it combines technical expertise with strategic insight to inform business financial decisions. You will have the autonomy to own analyses end-to-end, from source data to strategic recommendations, and the opportunity to engage with senior leadership and cross-functional teams, driving data-based decision-making across the organization. It reports to the Associate Director, Pricing, and Business AI Lead at BioLife. ACCOUNTABILITIES - Data Analysis & Decision-Making: Leverage strong analytical and quantitative skills to connect raw data across sources, uncover patterns, and deliver insights that directly shape business decisions. - Performance Analytics: Assess pricing performance to identify key drivers, risks, and opportunities across centers, fee levels, and donor groups. - Statistical Analytics: Contribute to pricing and forecasting projects through advanced data analysis, process automation, A/B testing, and the creation of clear, actionable visualizations. - Machine Learning Solutions: Translate complex data challenges into machine learning models (e.g., supervised learning, unsupervised learning, predictive retention, segmentation, elasticity) that enhance business operations and plasma donor insights. - Experimentation & Standards: Own the experimentation lifecycle from design to analysis, validating opportunities and scaling winning strategies. Elevate team capabilities by setting best practices in analytics, code quality, and data storytelling. DIMENSIONS AND ASPECTS - Technical expertise: Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. - Analytical leadership: Demonstrated ability to proactively identify new opportunities, design models/experiments, and deliver insights that drive measurable business improvements. - Agile execution: Thrives in ambiguity and fast-changing environments, with the ability to pivot quickly and still deliver clarity. - Clear communication: Ability to distill complex technical findings into clear business narratives. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Required - Bachelor's degree in Economics, Statistics, Computer Science, Engineering, Data Science, or a quantitative field required; Master's preferred - 5+ years in analytics, pricing, strategy, and/or forecasting with demonstrated impact. - Strong foundation in statistics and experimentation - hypothesis testing, regression, causal inference, experimental design, and power calculations. Who You Are - A critical thinker who thrives on solving ambiguous problems through rigorous analysis and experimentation. - Data-driven, with a passion for uncovering trends, root causes, and actionable insights. - Business-minded, able to partner effectively with leadership and product owners to shape strategic decisions. - Adaptable and proactive, thriving in a fast-paced, high-visibility environment with competing priorities. ADDITIONAL INFORMATION - Domestic travel required (up to 10%). BioLife Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: USA - IL - Bannockburn - Virtual U.S. Base Salary Range: $86,500.00 - $135,960.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.  The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations USA - IL - Bannockburn - VirtualMassachusetts - Virtual Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt Yes

^Remote Work **Must be authorized to work in USA with a valid VISA/GC/USC Job Description: Analyst will work with client team to analyze, solution and test pricing configuration defects in Healthedge Source. Required skills: 3-4 years Healthedge Source pricing configuration 3-4 years configuration defect remediation 3-4 years working in health insurance operations 1-2 years claims processing or claims testing experience This is a remote position.

Product Analyst Location: Global (Remote) Reports to: VP of Product Employment Type: Full-time Mission at Rwazi Rwazi’s AI-powered SaaS platform serves enterprise clients who rely on decision-grade data and actionable intelligence. The Product Analyst owns the quantitative visibility layer of the product. This role analyzes user behavior, product performance metrics, feature adoption, and retention signals to inform product strategy and roadmap decisions. The Product Analyst ensures product decisions are grounded in evidence, not intuition. Core Mandate The Product Analyst is accountable for: - Measuring and interpreting user behavior across the SaaS platform - Tracking feature adoption, engagement, and retention metrics - Identifying friction points and drop-offs - Translating behavioral data into actionable product insights - Providing structured recommendations to VP of Product This is a product intelligence role embedded inside product execution. Key Responsibilities User Behavior Analysis - Track user journeys across dashboards, workflows, and modules - Identify usage frequency patterns across accounts - Analyze session depth, repeat usage, and expansion signals - Detect behavioral differences across verticals and enterprise segments Feature Performance & Adoption - Monitor new feature launch performance - Track adoption velocity and engagement rates - Identify underutilized features and diagnose causes - Support A/B testing and experiment analysis Retention & Expansion Metrics - Measure account-level retention and churn indicators - Identify signals predictive of expansion or contraction - Build cohort analyses across industries and client tiers Product KPI Governance - Define and maintain core product metrics - Ensure data accuracy and consistency across dashboards - Maintain product performance reporting cadence (weekly/monthly) Insight Generation & Strategic Input - Translate data into clear, structured insights - Provide recommendations to VP of Product and cross-functional teams - Surface early warning signals affecting product health Role Impact Strong performance in this role results in: - Data-driven roadmap decisions - Faster detection of product friction - Improved feature adoption rates - Higher retention and expansion metrics - Reduced reliance on anecdotal product feedback This role strengthens the intelligence behind product evolution. What This Role Is Not - This is not a passive reporting role - This is not general business analytics disconnected from product - This is not ad-hoc dashboard building only This role requires structured reasoning, proactive insight generation, and product fluency. Qualifications and Profile We are looking for individuals who demonstrate: - 3–6+ years in product analytics or SaaS analytics roles - Strong fluency in SQL, data modeling, and analytics tooling - Experience working closely with Product teams - Ability to conduct cohort analysis, funnel analysis, and retention modeling - Strong quantitative reasoning and pattern recognition - Comfort translating data into executive-level insights Candidates may come from high-growth B2B SaaS, marketplace platforms, or data-intensive environments. Cultural Fit We value analysts who: - Think in systems and causal relationships - Question assumptions and validate with data - Prefer clarity over complexity - Move quickly and iterate - Are comfortable operating with executive visibility This role is suited for individuals who enjoy turning behavioral data into product advantage. How Candidates Are Evaluated Candidates are evaluated based on: - Their ability to interpret behavioral product data - Clarity and rigor of their analytical reasoning - Experience building actionable product insights - Comfort working with ambiguity and incomplete signals - Their ability to influence product decisions through evidence We prioritize demonstrated analytical capability and product impact over resumes alone. Summary The Product Analyst ensures Rwazi’s product evolves based on measurable user behavior and performance signals. This role strengthens the product intelligence layer and enables disciplined, data-driven product growth.