Insight Global - Rahway, NJ
posted 29 days ago
Full-time
Rahway, NJ
Administrative and Support Services
About the position
The Sr. Technical Product Analyst will work within the Scientific Data Product Line team at Insight Global, focusing on AWS Cloud Technologies and Data Engineering. The role involves enabling data engineers and data scientists to onboard and transform research data onto a data platform designed for analytics. The analyst will gather insights from various stakeholders to enhance user experience, translate technical product evolution into user-friendly documentation, and ensure quality standards in product delivery.
Responsibilities
- Gather insights from customers, customer success team, and support team regarding user experience and user journey for product evolution.
- Translate technical product evolution into customer-facing user manuals and marketing materials.
- Bridge delivery squads (developers, testing, and support) to ensure new features meet quality standards according to the company's software development lifecycle methodology.
- Design internal processes and best practices for gathering demand from customers and improving customer intake experience.
- Identify processes and features that are eligible for innovation or improvements.
Requirements
- 5-8+ years of Technical Business Analysis, Senior Business Analysis, or Product Analysis experience.
- Hands-on data engineering knowledge in cloud technologies like AWS (preferred).
- 5+ years of experience working with stakeholders' documentation and gathering requirements.
- 2+ years of relevant work experience in delivering data-focused products.
- Exposure to basic AWS Services like Redshift, S3, Glue, Sagemaker, etc.
- Experience with a data platform and data management.
- Experience with SDLC activities and exposure to Agile methodologies and practices.
- Experience with business process modeling and analysis, optimizing user experience.
Nice-to-haves
- Familiarity with Git, Jenkins, and Airflow.
- Previous experience in regulated industry, particularly in the pharma industry.
- Experience with developing data ingestion and transformation pipelines.
