• 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.

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.