Sr Product Analyst
About The Position
We are seeking a highly skilled and experienced Senior Product Analyst to join our Real World Data team. Your primary responsibility will be to become an expert in our multimodal data and to deliver insights and analyses on this data to our customers. You’ll support end-to-end analytical product development in Amazon QuickSight, Snowflake, and Plotly Dash—translating stakeholder needs into the first versions of customer-facing software. You will also help define the semantic layer (metrics and definitions), establish analytics workflows and quality standards, and mentor other analysts through review and best practices.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Business Analytics, Mathematics, Healthcare, or a related field.
- Proven experience (5+ years) as a Product Analyst, Data Analyst, Business Analyst or similar role, with a strong focus on analytics and development of visualization tools.
- Proficiency with data analysis tools including SQL and Excel and data warehouses such as Redshift, BigQuery or Snowflake.
- Experience with analytical data modeling and/or semantic layers (metric definitions, dimensional models, governed datasets).
- Experience with Python or R.
- Demonstrated experience shipping customer-facing dashboards (QuickSight or similar), including requirements gathering and iteration based on user feedback.
- Strong communication and presentation skills, with the ability to convey complex analytical findings to technical and non-technical stakeholders.
Nice To Haves
- Experience building analytical apps using Plotly Dash, Streamlit or equivalent
- Knowledge of statistical analysis, predictive modeling and machine learning techniques.
- Understanding of ETL technologies, Connector Management, Data Management & Analytics platforms.
- Prior experience working with complex healthcare data modalities, such as claims data, electronic health records (EHR), omics data (e.g., genomics, proteomics), and other healthcare-related datasets.
- Prior work evaluating or enabling AI/LLM analytics interfaces with emphasis on semantic correctness, guardrails, and trustworthy outputs.
Responsibilities
- Data Analysis: Use SQL (and Python/R) to extract insights, generate reports and conduct deep-dive analysis from multimodal data.
- Analytical Tool Development & Visualization: Maintain and build analytical tools and customer-facing dashboards (QuickSight) plus internal apps/prototypes (Plotly Dash/Streamlit strongly preferred) to accelerate exploration and stakeholder decision-making.
- Cross-functional Partnership: Collaborate with stakeholders, domain experts, Product, and Data Engineering to understand needs, align on definitions, and deliver analytical products.
- Analytical Process: Define best practices, processes, and methodologies (intake/prioritization, QA, documentation, release notes). Create standards for the analytics team code style, improve code/dashboard performance, and own documentation of data and logic.
- Intermediate Data Modeling & Semantic Layer: Design and document intermediate analytical models that power dashboards and self-serve analysis. Own metric definitions, calculation standards, and a shared “source of truth” for business logic.
Benefits
- Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
- Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits.
- Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more.
- We also offer a generous employee referral program!
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees
