Title: Data Analyst Location: North Sydney, New South Wales, Australia Brisbane, Queensland Job Description: 12 month contract Part time 22.8 hours per week (3 days) A Data Analyst is responsible for collecting, validating, analysing, and interpreting pharmaceutical sales data to deliver accurate reports, insights, and analytical outputs for internal stakeholders and external clients. The role supports informed decision‑making by ensuring data integrity, addressing client queries through technical analysis, and translating data outcomes into meaningful business insights. This position also investigates data anomalies, identifies sales and market trends, manages report requests, and recommends process improvements to enhance efficiency, quality, and scalability of data operations. Essential Functions - Perform quantitative and qualitative analysis of pharmaceutical sales data under broad guidance to support internal teams and client projects. - Identify, interpret, and communicate trends, patterns, and exceptions across products, brands, therapeutic areas, sales channels, and geographies. - Develop impact assessments by combining sales data with pharmaceutical market and operational knowledge. - Translate business and client requirements into report and analysis specifications based on available data and defined methodologies. - Produce validated datasets, standard and ad‑hoc reports using enterprise reporting systems and analytical tools. - Verify data accuracy, completeness, and consistency through structured quality checks and reconciliations. - Manipulate, transform, and aggregate data to support robust analysis and efficient reporting. - Investigate and resolve data anomalies through root‑cause analysis and appropriate corrective actions. - Identify opportunities for process improvement, automation, and standardisation. Qualifications and required skills - Bachelor’s degree in pharmacy and/or Medical Data is required. - Mandatory experience (min 2 years) working in a community pharmacy or hospital pharmacy environment, with practical understanding of pharmaceutical products, dispensing workflows, and healthcare settings. - Data analysis skills and previous experience using Microsoft software tools (Excel, PowerPoint, Word, and Access). - Works willingly and effectively with others in and across the organization to accomplish team goals. - Knowledge and understanding of the fundamental processes of the business. - Knowledge of the methods, tools and techniques, related to one’s functional area. - Knowledge of the industry and an understanding of the marketplace. - Effective time management skills. - Proficient in Python and SQL (either from previous experience or educational learning) is required. - Must be currently living in Australia with full time valid working rights. - Must be able to commit to a 12 month contract for a max of 3 days per week. If you are interested please apply with your resume. If you are successful you will receive an email to complete an online assessment. Candidates who pass this assessment will be contacted direct by the IQVIA Recruiter to discuss. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

Title: Senior Associate, Data Analytics (Private Credit Operations) Location: Newark United States Job Description: When you join Sallie Mae, you become a champion for all students. We're on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We're changing. Because students need a better way. We're looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students-and for each other. This is where diverse backgrounds, beliefs, and perspectives matter. It's where you're empowered to bring your authentic self to work. Feeling your best allows you to do your best. Our benefits take care of the whole you-from physical and mental to financial and professional. You'll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more. We're obsessed with impact and making a real difference. For us, that means putting relationships first, asking "why not?" when tackling challenges, and continuously learning new skills. Come do more than join something, change something. For students, for future generations, for the future of education. Senior Associate, Data Analytics (Private Credit Operations) Sallie Mae Bank, 300 Continental Drive, Newark, DE 19713 Full time 40 hours per week, Monday - Friday What you'll do: - Support the analytics team in conducting financial data analysis, modeling, and reporting to deliver insights and recommendations. - Gathering, cleaning, and preparing data for analysis, ensuring accuracy and consistency. - Develop models and forecasts to support business planning and decision-making. - Designs Guardrails for KPIs. Designs, tracks and reports MIS to guide business tactics. - Tracks initiative performance against forecast. Optimize targeting within budget constraints. - Create presentations on findings and provide sound recommendations to leadership to influence strategic business decision-making. - Create and maintain data documentation, data dictionaries, and standard operating procedures. - Contribute to the continuous improvement of data quality and data management processes. - Remote work permitted up to 3 days within a reasonable commuting distance of the Newark, DE office. WHAT YOU HAVE: Bachelor degree in Mathematics, Statistics, Economics, Computer Science, Accounting, or closely related field of study and two (2) years of experience as a Data Analyst or related role where required experience was gained. Employer will also accept a Master's in Mathematics, Statistics, Economics, Computer Science, Accounting, or closely related field of study in lieu of a Bachelor's degree and two years of experience. Also requires education or experience in the following: - SQL, Python, R, or other programming languages commonly used in analytics such as SAS; - Data visualization tools such as Tableau or Power BI; - Conduct data analysis to support business planning and decision making; and - Development and maintaining data documentation, data dictionaries, and standard operating procedures. Our benefits take care of the whole you-so you can build your work around your life (not the other way around!). - Competitive base salaries - Bonus incentives - Generous PTO, Floating Holidays and 12 Federal Holidays observed - Support for financial-well-being and retirement 401k with employer match - Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more - Employer paid short-term/long-term disability and basic life insurance - Flexible hybrid working arrangements. - Paid parental leave and adoption reimbursement programs - Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware) - Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives - Tuition Reimbursement and Family Scholarship Programs - Career development and training opportunities Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law.

• Support the Irix product research pipeline by gathering market feedback, contributing to research scoping, and assisting in prioritization efforts • Perform hands-on analysis to support mortality studies, product enhancements, and research initiatives • Contribute to the development, maintenance, and delivery of mortality study outputs, including reports, dashboards, databases, and tools • Translate research findings into clear insights and actionable recommendations in partnership with product, software development, and other technical teams • Collaborate with cross-functional teams, including Data Science and product teams, to support model development, feature ideation, and performance monitoring • Assist in evaluating and communicating the value of new and existing products through analysis and client-facing deliverables • Create clear, high-quality documentation and support standards for transparency, quality, and reproducibility • Partner with internal and external stakeholders to deliver insights and materials that meet client needs and highlight product value • Support the creation of thought leadership materials, including presentations, webinars, and white papers • Contribute to experimentation and prototyping efforts by analyzing results and helping iterate on ideas quickly • Assist in developing internal tools and resources to improve product and research efficiency • Present findings and insights to stakeholders to support awareness and decision-making • Ensure compliance with data governance standards and secure handling of data assets

• Perform detailed mapping, extraction, loading (ETL) and analysis of client data; • Manage and maintain backups and perform restores when necessary; • Ensure system environments contain the required data; • Develop ETL processes to ensure data migration meets required standards; • Participate in defining data architecture and processing strategies; • Interpret data, analyze results and apply statistical techniques; • Create data extraction layouts according to Salesforce standards; • Validate received data files;