Role Description We are seeking a motivated and experienced Data Analyst to support a UK-based employer in turning complex data into clear, actionable business insights. - Collect, clean, and analyse business data from multiple sources - Handle dashboard creation, reporting automation, and ad hoc data requests - Communicate effectively with internal teams and external stakeholders across time zones - Use SQL, Python, Excel, Power BI, or Tableau - Support with data storytelling, KPI tracking, and strategic decision-making Qualifications - 2+ years of experience in data analysis or business intelligence - Proficient in SQL and at least one data visualisation tool such as Power BI or Tableau - Experience working with UK-based clients or employers is advantageous - Must have a reliable laptop, stable internet connection, and a quiet working environment Benefits - Salary: R35,000/month - 100% Remote Company Description

Role Description Join Amgen’s Mission of Serving Patients. In this vital role as the Executive Director, R&D Quality Data Analytics & Process Management, you will lead the strategy, governance, and continuous improvement of core quality processes, document management, enterprise data analytics, and risk management for the Research & Development (R&D) Quality organization. This leader will serve as the business process owner for key Quality Management System (QMS) processes supporting global R&D operations and ensure processes are efficient, compliant, scalable, and aligned with evolving regulatory expectations. A critical component of the role is advancing clinical and research quality analytics across the development portfolio to enable proactive oversight of clinical trials, investigator sites, vendors, and study execution risks. This leader will transform data into actionable insights that strengthen Good Clinical Practice (GCP) compliance, inspection readiness, patient safety, and study quality. The role is accountable for oversight of document management systems and governance, quality process harmonization, advanced analytics, KPI reporting, and R&D risk management across the R&D GxP areas including clinical development, pharmacovigilance, laboratories, and R&D quality systems. This position partners closely with R&D Quality leadership, Global Quality, Global Development Operations, Data Management, Biostatistics, Safety, Regulatory Affairs, and technology functions to strengthen compliance, decision-making, and operational performance. This role will report into Vice President, Quality. Responsibilities - Strategic Leadership - Develop and execute a multi-year strategy for process management, data analytics, document management, and risk management aligned to R&D Quality priorities. - Serve as a strategic advisor to the Head of R&D Quality on process performance, clinical quality trends, operational risk, and digital opportunities. - Build a high-performing organization focused on innovation, simplification, and measurable business impact. - Document and Process Management - Act as business process owner for core R&D Quality processes such as deviations/nonconformances, CAPA, change control, training (metrics), and risk management. - Support the R&D business process owners to develop global standards, process controls, KPIs, roles/responsibilities, and governance for assigned processes. - Ensure simplification, standardization, and modernization of document structures and approval workflows in partnership with Global Quality. - Ensure processes are compliant with applicable GxP regulations and integrated across functional boundaries. - Lead periodic process reviews, health checks, and continuous improvement initiatives related to these processes. - Quality Data Analytics & Data Driven Insights - Establish a modern analytics strategy for R&D Quality using dashboards, predictive indicators, trend analysis, and self-service reporting tools. - Develop executive dashboards for quality performance, compliance health, process efficiency, inspection readiness, and risk visibility. - Champion use of automation, AI-enabled analytics, and digital tools to improve decision-making. - Develop and lead a comprehensive clinical quality analytics framework supporting risk-based quality management and centralized monitoring across the clinical trial portfolio. - Identify cross-study and portfolio-level trends that may indicate systemic GCP risks or process weaknesses in partnership with Clinical & Research Quality. - Integrate risk signals from audits, inspections, deviations, vendors, metrics, and operational changes to deliver comprehensive insights. - Partner with Clinical Delivery and Study Quality teams to integrate quality signals into ongoing study oversight and risk review forums. - Use predictive analytics to identify trials, countries, vendors, or sites at increased risk for quality or inspection issues. - Support inspection readiness through analytics related to TMF completeness, overdue actions, protocol compliance, training status, and vendor oversight performance. - Develop executive reporting on clinical quality health across Phase I-IV programs, CRO partnerships, and development regions. - Benchmark internal metrics against industry trends and regulatory expectations where available. - Talent & Organizational Capability - Build and develop teams across process excellence, analytics, document management, and risk management disciplines. - Develop organizational capability in process thinking, data literacy, and risk-based decision making. - Foster a culture of accountability, innovation, and continuous learning. Qualifications - Doctorate degree and 6 years of pharmaceutical/biotech quality systems, clinical quality, R&D operations, analytics, or process management OR - Master’s degree and 10 years of pharmaceutical/biotech quality systems, clinical quality, R&D operations, analytics, or process management OR - Bachelor’s degree and 12 years of pharmaceutical/biotech quality systems, clinical quality, R&D operations, analytics, or process management AND 6 years of managerial experience directly leading people in a multi-tiered organization and/or leadership experience leading teams, projects, programs or directing the allocation of resources. Preferred Qualifications - Strong knowledge of GCP, GxP regulations, ICH E6, risk-based quality management, and quality management systems. - Demonstrated success leading analytics, digital transformation, or complex process improvement programs. - Understanding of the legal and regulatory environment, applicable laws, regulations, guidance’s and health authority expectations globally for drug development and digital processes and Artificial Intelligence. - Proven track record in management and subsequent response to health authority inspections. Benefits - Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. - A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan. - Stock-based long-term incentives. - Award-winning time-off plans and bi-annual company-wide shutdowns. - Flexible work models where possible. Salary Range The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is $241,844 - $327,200. Actual salary will vary based on several factors including, but not limited to, relevant skills, experience, and qualifications.

Role Description The Postdoctoral Researcher will contribute to policy-relevant research funded by federal and state agencies, focusing on early childhood, family well-being, public health, and education systems. The role involves collaboration with a multidisciplinary team led by Dr. Heather Rouse and other investigators across Iowa State University and partner institutions. This team specializes in mixed-methods research using national datasets, state administrative data, and survey/focus group approaches to examine early risk and protective factors in children’s home and community environments. Qualifications - PhD in psychology, human development and family studies, educational policy, sociology, or a related field - Advanced proficiency in dataset management and statistical analysis using Stata, R, and/or other specialized software - Demonstrated record of analytic writing in early childhood, education, or family studies, including evidence of publication Requirements - Experience analyzing national datasets such as the Early Childhood Longitudinal Study–Birth Cohort and/or other large-scale population-level data - Experience conducting advanced quantitative analyses (e.g., longitudinal and multilevel modeling, latent class/profile analysis, propensity score analysis) - Demonstrated ability to translate quantitative findings for both academic and non-academic audiences Benefits - Comprehensive health and work-life benefits, including medical and dental - Retirement benefits including defined benefit and defined contribution plans - Generous vacation, holiday, and sick time and leave plans - Onsite childcare (Ames, Iowa) - Life insurance and long-term disability - Flexible Spending Accounts - Various voluntary benefits and discounts - Employee Assistance Program - Wellbeing program - WorkFlex options for some positions

Role Description At E Source, we help utilities make sense of complexity in a rapidly changing landscape, and we’re looking for a Data Analyst Intern to join our Data Analyst team for energy solutions and contribute to work that shapes the energy future. As a Data Analyst Intern, you’ll work alongside our Data Analyst team for energy solutions, helping keep our industry-leading data tools accurate and up to date while supporting research projects that inform how utilities promote energy efficiency, manage demand-side management (DSM) programs, and serve their customers. You’ll get hands-on experience with utility-sector data, learn how E Source turns research into clear, actionable guidance, and build practical analytical skills you can carry into the rest of your career. This role is ideal for a current undergraduate, graduate student, or recent graduate who is curious about energy, comfortable working with data, and eager to learn in a collaborative, mentorship-oriented environment. - Update and populate E Source data tools with thorough, accurate information after receiving training. - Support research requests from utility clients and internal teams, including contributions to reports, articles, and webinars. - Organize, evaluate, and interpret quantitative and qualitative data drawn from primary and secondary sources. - Help document analytical procedures and suggest improvements to data workflows. - Collaborate with analysts and subject-matter experts to translate findings into clear written and visual summaries. Qualifications - Are a current undergraduate or graduate student, or a recent graduate, ideally pursuing a degree in an environmental, economic, energy, data, or related field. - Are naturally curious about utilities, energy efficiency, sustainability, or the broader energy industry. - Bring strong attention to detail and care about getting the data right. - Have solid research, critical-thinking, and organizational skills. - Communicate clearly in writing and verbally, and can explain what the data shows to a non-technical audience. - Work well across teams, ask thoughtful questions, and follow through on commitments. Requirements - Have coursework or project experience involving data entry, data manipulation, or basic analysis. - Are comfortable with SQL, Python, R, or similar tools for working with data. - Have used Excel, Power BI, or Tableau to summarize or visualize data. - Have any prior exposure to the utility, energy, or sustainability sectors. Benefits - This is a temporary, six-month position. - You’ll work up to 20 hours per week at a rate of $17.00 USD per hour. - Exact dates and hours are flexible based on your schedule. - This role will be 100% remote, with infrequent travel (generally 1-2 times per year).