Precision AQ
Healthcare
SeniorDataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Analyst at Precision AQ. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and deploy machine learning models. Build and maintain data pipelines”
Industry & Context.
What They're Looking For.
Must Have
5+ years experience, Bachelor's degree in Statistics, Computer Science, or Mathematics, SQL proficiency
Nice to Have
PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio
What You'll Do.
Develop and deploy machine learning models
Build and maintain data pipelines
Design and implement BI solutions
Perform quantitative analysis
Engineer data solutions
Collaborate with stakeholders
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholders
Full Job Description
Role Summary We are seeking a motivated, experienced Senior Data Analyst who will lead analytics efforts around Oncology patient journey, line of therapy (LoT) and structured claims/patient data. The successful candidate will transform large claims datasets into insights that shape strategic decisions for our clients. Key Responsibilities 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. Required Qualifications Minimum 5 years’ experience, with 3+ years in relevant analytics roles. Bachelor’s/Master’s in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics or related field. Prior Experience with structured datasets: DRG, Symphony, IQVIA, McKesson. Strong proficiency in SQL, Python, Excel, PowerPoint. Experience in Pharma/life-science consulting or analytics agencies. Exposure to RWE sources including EHR/EMR, CMS datasets. Understanding of LoT frameworks, treatment guidelines and market-access structures. Preferred / Nice to Haves Working knowledge of Python and visualisation tools (Power BI, Tableau). understanding of data modeling and statistical techniques. Client-facing experi
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