Title: Lead, Inflammation and Immunology Analytics Location: USA - MA - Cambridge - Kendall Square - 500 Full-time Job Description: 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. We are seeking a dynamic analytics leader to join the Gastroenterology, Inflammation and Immunology (GI²) Commercial Analytics and Insight (CA&I) organization as the Lead of Immunology Analytics. The Lead of Immunology Analytics serves as the strategic analytics leader for the Dermatology franchise for both PsO and PsA. This role drives data driven decision making across launch planning, brand strategy, patient analytics, field optimization, and performance measurement. The director partners closely with Marketing, Market Access, Forecasting, Data Sciences, Medical, Finance, and Field Leadership to shape commercial strategy for both in market and pipeline assets. This is a high visibility role requiring deep therapeutic understanding for both PsO and PsA, strong business acumen, extensive knowledge of available data sets and the ability to translate complex analytics into clear, actionable insights. How you will contribute - Leverage deep knowledge in analytics, including expertise in datasets like patient-level claims, sales, patient access and EMR data, to establish and drive analytics solutions for our Immunology product portfolio. - Foster supportive analytics to inform strategic choices and investments for a broad portfolio of in-line and pipeline products. - Coach team to build insightful, creative, and continuously improving strategic deliverables to the brand, sales, and market access teams, along with other key stakeholders across the GI² Business Unit. - Oversee and provide analyses supporting impacts of insights (brand, sales, access and accounts analytics), in partnership with the advanced analytics, forecasting and data COEs to support informed decision making across the Immunology portfolio. - Proactively identify business questions - e.g., market trends, product performance, marketing campaign development (provider, health systems and consumer) and performance, market access analytics, sales force organization design, dynamic targeting, next best action - and determines the optimal approach to answer them through data and analytics. - Bring a consultative approach to partnering with stakeholders to validate the business opportunity and develop a strategy based on analytic insights. Minimum Requirements/Qualifications: - Bachelor's Degree required; Advanced degree (Master's in business, analytics, marketing, data science or engineering) preferred. - 8+ years of progressively responsible for analytics, data-driven decision making, management consulting or related functional experience within the bio-pharmaceutical industry required. - Immunology experience highly preferred. - Familiarity with Artificial Intelligence and implementation of GenAI solutions required. - Demonstrated leadership in a matrix organization, able to motivate and inspire team members to high performance levels required. - Demonstrated ability to integrate insights and translate strategy into action; excellent analytical skills and an ability to communicate complex issues in a simple way and to orchestrate plans to resolve issues and mitigate risks - Demonstrated ability to create an environment that inspires and enables people to move the organization forward. - Expert in delivering persuasive presentations and mentoring others in presentation skills - Proficient in the use of business intelligence tools to support data-driven decisions - Proven experience leading and developing analytics teams, driving strategic initiatives, and managing cross-functional projects. - In-depth knowledge of healthcare analytics, including experience with patient claims data, market access and sales analytics. - Experience managing complex projects with a demonstrated ability to meet deadlines and goals. - Strong proficiency in statistical analysis, and data visualization techniques. - Predictive modelling skills a plus - Expertise in analytics tools and programming languages (e.g., Python, R, SQL, SAS, Tableau, Power BI). - Vendor and budget management. - Excellent communication and collaboration skills, fostering strong relationships across departments. - Ability to identify challenges and develop innovative solutions through data-driven approaches. - Flexibility to adapt to changing business needs and evolving technology landscapes. More about us: At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work. Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world. This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy. Takeda 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 - MA - Cambridge - Kendall Square - 500 U.S. Base Salary Range: $177,000.00 - $278,080.00 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 - MA - Cambridge - Kendall Square - 500 Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt Yes It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Role Description Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award. We are seeking a Business Analyst to support a federal government program by gathering, analyzing, and translating business needs into technical and functional requirements. The ideal candidate has hands-on experience working in AWS cloud environments and partnering with technical teams to improve systems, processes, and data-driven decision‑making. This role works closely with government stakeholders, product owners, developers, and cloud engineers to ensure requirements are clearly defined, documented, and delivered in alignment with mission objectives. Job Location: This is remote with periodic travel to the client office in Washington, DC. Preference to candidates who live in National Capital Region. If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses, and also prohibits personal VPN connections. What You Will Do: - Elicit, analyze, and document business and functional requirements for government systems and applications - Translate business needs into clear requirements, user stories, process flows, and acceptance criteria - Work with AWS-focused technical teams to support cloud-based solutions and system enhancements - Support system modernization initiatives, cloud migrations, and application enhancements - Participate in Agile ceremonies (backlog grooming, sprint planning, demos, retrospectives) - Develop and maintain documentation such as BRDs, FRDs, process maps, and workflows - Analyze current-state processes and recommend future-state improvements - Coordinate with stakeholders to validate requirements and ensure traceability through delivery - Support testing activities by assisting with test case development and UAT coordination - Ensure requirements align with federal policies, compliance standards, and security guidelines What You Will Bring With You: - Active Top Secret clearance with SCI eligibility - 5+ years of experience as a Business Analyst What We Would Like You To Bring With You: - Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or related technical field - Experience working on federal or DoD IT programs - Experience working in or supporting AWS cloud environments - Strong requirement-gathering, documentation, and stakeholder communication skills - Familiarity with Agile and/or hybrid delivery methodologies Benefits - Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process - Pay Range: $73,770.00 - $151,744.00 based on full-time employment

• Serve within the customer-focused function of the Unit 42 MDR team, providing proactive communication and technical guidance to customers. • Support onboarding activities for new customers to ensure a smooth setup and transition experience. • Monitor, triage, and route incoming customer communications while answering technical questions related to alerts, reports, incidents, and recommendations. • Partner closely with MDR analysts to ensure customer questions regarding incidents, threats, and investigations are fully addressed. • Own the customer communication lifecycle during active incidents, ensuring timely updates, clarity, and alignment on next steps. • Drive consistency and quality in how incidents, findings, and threat intelligence are communicated externally. • Escalate and advocate for customer issues internally across Product, Engineering, and broader Unit 42 teams to ensure effective resolution.

Role Description Alteryx is searching for a Sr. Engineering Intelligence Analyst (Engineering Insights Team). This position is remote-friendly. We are building a data-driven understanding of how our engineering organization operates, and we’re looking for a Data Analyst focused on Engineering Intelligence to help us do it. This role sits at the intersection of engineering, data, and operational excellence. Your mission is to transform engineering signals into insights that help us improve software quality, productivity, reliability, and cost efficiency. You will analyze data from across the software development lifecycle (SDLC), from pull requests and CI/CD pipelines to service reliability metrics and incident management, and translate it into dashboards and insights that guide engineering leaders. If you are passionate about understanding how engineering organizations work and how they can improve, this role is for you. What You’ll Work On - Engineering Effectiveness & SDLC Metrics - Development & productivity - Pull request volume and cycle time - Code review latency - Deployment frequency - Lead time for changes - Change failure rate - Reliability & operations - SLO / SLA performance - Incident and escalation patterns - Engineering quality - Defect trends - Incident root causes - Platform adoption - Usage of internal platforms and services - Adoption of engineering standards and best practices - Engineering cost efficiency - Infrastructure cost trends - Cost per service / team - Efficiency of engineering investments - Build Data Products for Engineering - Engineering health dashboards - Service reliability dashboards - Operational insights for engineering managers - Executive views of engineering performance - Adoption dashboards for internal platforms - Data Pipelines & Analysis - Writing advanced SQL queries to analyze engineering data - Building lightweight Python pipelines to aggregate and process signals - Integrating data from sources such as: - Git repositories (PRs, commits) - CI/CD systems - Incident management systems - Observability platforms - Ticketing systems - Cost management tools - Ensuring that engineering metrics are accurate, consistent, and trusted across the organization. - Generate Insights That Drive Decisions - Identifying bottlenecks in the development process - Detecting reliability risks early - Understanding operational load across teams - Measuring whether internal platform investments are working - Connecting engineering activity with infrastructure costs - Collaborate Across Engineering - Engineering managers - Platform and infrastructure teams - DevOps / SRE - FinOps - Engineering leadership Qualifications - Strong SQL skills - Experience using Python for data analysis or pipelines - Experience building dashboards in Superset, Tableau, Looker, or similar BI tools - Experience working with complex operational datasets - Familiarity with data modeling and metric definitions Requirements - Comfortable working with engineering concepts such as: - Pull Requests (PRs) - CI/CD pipelines - Software Development Lifecycle (SDLC) - Service Level Objectives (SLOs) - Incident management - Escalation tickets - Service reliability metrics - Enjoy working closely with engineers and understanding how systems are built and operated. - Strong analytical thinking - Ability to translate ambiguous questions into measurable metrics - Ability to communicate insights clearly to technical and leadership audiences - Strong attention to data quality and metric consistency Benefits - Growth mindset support for associates - Commitment to a diverse, equitable, and inclusive workplace