Role Description We are looking for a talented and driven Senior Data Analyst to join our AdNetwork team. As a Senior Data Analyst, you will play a key role in analyzing advertising data and developing insights to optimize our platform's performance. You will work closely with the Data Analyst Team Lead to implement data strategies and mentor junior team members. - Independently identify and execute high-impact data analysis projects. - Mentor junior analysts and provide technical guidance on projects. - Design and implement A/B tests for marketing, app monetization, and product features. - Create and maintain dashboards for monitoring key advertising metrics. - Develop automated reporting solutions and data pipelines. - Collaborate with cross-functional teams to identify and solve business challenges. - Support data infrastructure improvements and maintenance. - Lead A/B testing (marketing, app monetization, product testing). Qualifications - 4+ years of experience in data analysis in the adtech, mobile, or marketing industries. - Strong proficiency in Python, SQL, and data visualization tools. - Experience in A/B testing and statistical analysis. - Experience using AI tools and LLMs (e.g., ChatGPT, Claude, Gemini). - Strong problem-solving and analytical skills. - Excellent communication skills and ability to present findings to stakeholders. - Demonstrated ability to work independently and make data-driven decisions. - Bachelor's degree in Computer Science, Data Science, Statistics, or related field. Requirements - Experience with cloud platforms (AWS) and data tools (Databricks, Grafana, Elasticsearch, Kibana). - Experience with Apache Spark and large-scale data processing. Benefits With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success!

• Lead and execute analytics projects focused on patient-journey and line-of-therapy mapping, Brand analytics. • Analyze structured claims and patient datasets such as DRG, IQVIA, McKesson, Symphony claims. • Conduct exploratory data analysis (EDA) to assess treatment patterns, pathways and utilization. • Support HEOR/HCRU analyses including prevalence, burden, incidence and cost-of-illness studies. • Develop and present client-facing insights using dashboards, PowerPoint and visual analytics. • Build and optimise SQL queries, pipelines; use Excel and Python for automation and analysis. • Collaborate with HEOR, market-access, strategy and engineering teams. Ability to gather requirements, articulate approach, timeline and execution with key stakeholders are of equal importance. • Ensure data integrity, governance, documentation and reproducibility. • Independently manage workload, communicate progress and drive project delivery.

• Ensures coding analysis production is consistent, high quality, and aligned with strict delivery timelines by tracking performance and enforcing standards. • Provide oversight of junior coding teams, providing guidance on best practices and delivering constructive feedback to address performance gaps, fostering continuous improvement and skill development. • Manages content searches and uploading processes, prioritize coding tasks and performs regular data checks while understanding project coding structures. • Utilizes knowledge of data flow and our tools to troubleshoot issues and resolve them. • Reports regularly to the manager, establish open communications to prioritize tasks and manage workflow. • Utilizes established reporting templates and tools to contribute to assigned reports, generate charts, research and write robust qualitative insights. • Take ownership of initial data exports and assist in charting and report production as needed. • Provides daily support to Senior Analysts and Team Leads. This includes tasks such as contact management, data verification, and report production.

Title: Senior Claims Data Analyst Location: Sydney, NSW Job Description: Salary: up to $85,000 base salary plus super Full-time position An opportunity has arisen for a Senior Claims Data Analyst to join Marsh, based in Sydney. The Senior Claims Data Analyst is responsible for designing and applying statistical methodologies to analyse complex risk portfolios, financial exposures and claims-related data. It has the objective of generating reliable, evidence-based insights to support strategic decision-making, risk management, and performance optimisation. The role exists to transform raw data into statistically valid analyses, predictive models, and interpretable outputs that quantify trends, uncertainty, and relationships within the business and external clients. This includes defining analytical frameworks, assessing data quality and its limitations, and communicating statistically relevant findings to both technical and non-technical stakeholders. The position operates with a high degree of autonomy in selecting appropriate statistical techniques it uses and is accountable for ensuring the methodological integrity, reliability, and practical relevance of all analytical outputs. We will count on you to: - Engage with clients to define analytical objectives, scope statistical investigations, and translate business problems into statistically valid analytical frameworks. - Advise clients on the collection of claims-related data, reviewing current collection practices to ensure key-data points are appropriately mapped and tracked in light of the clients risk profile and business objectives. - Design statistical approaches to data collection and study structures ensuring alignment between business questions, sampling approaches, and analytical validity. - Communicate complex statistical findings in a clear and structured manner to enable the clients informed decision-making. - Translate complex analytical findings to clients through reports, dashboards, and presentations tailored to both technical and non-technical audiences. - Act as a subject matter expert in statistical analysis within the team. Required skills, qualifications and experience: - A tertiary qualification at Bachelor level or higher in Statistics, Mathematics, Data Science, Applied Finance, or a closely related quantitative discipline with a strong emphasis on data science, statistical theory and methods. - Experience in statistical analysis, data modelling, or quantitative analysis roles, with demonstrated application of statistical methodologies to real-world datasets. - Proven experience in selecting, applying, and validating statistical models, including regression analysis, hypothesis testing, time series analysis, and distributional modelling. - Demonstrated experience in designing analytical approaches, defining data requirements, and assessing data quality, reliability, and limitations. - Experience translating statistical findings into actionable insights and communicating complex analytical outcomes to both technical and non-technical stakeholders - Experience with analytical and reporting tools such as Excel, Power BI, or statistical programming environments (R or Python). Why join our team: - We help you be your best through professional development opportunities, interesting work and supportive leaders. - We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. - Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Applications will only be considered from candidates who have the appropriate approval to work in Australia. Successful applicants will be required to complete a Criminal & Bankruptcy check prior to commencing of employment. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.