Senior Analytics Engineer
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Job Description
Senior Analytics Engineer driving data architecture and analytics processes for Prime Therapeutics. Collaborating with stakeholders to manage large datasets and optimize data-driven business insights.
Responsibilities:
- Aid in stakeholder holder analysis across all levels of the organization to understand current and future state needs for large and complex datasets and databases that drive business processes and the delivery of Prime’s products and services; collaborates with analytics leadership to develop a strategic roadmap for analytic resource(s) and reporting platform(s) in alignment with business requirements
- Develops, constructs, tests and maintains data architecture, extract, load, transform (ELT) processes, logical and physical data models, data marts, meta data repositories and data warehouse designs in alignment with business requirements
- Optimizes data retrieval, develops data set processes, algorithms and identifies ways to improve data reliability, efficiency and quality
- Contributes to and maintains business glossary and other resources that foster cross-functional collaboration on analytical data resources
- Collaborates with business stakeholders to identify needs and opportunities for improved delivery, business processes and tasks that can be automated, and to understand the underlying data resources and their relationship to deliver actionable data driven insights and decision support
- Provides technical guidance to the analytics function and projects, ensuring that new initiatives enable effective analytic information management; builds and tests proof of concepts to test and demonstrate business value
- Cross-train, support, and work closely with team members in the following roles: Data Scientist, Systems Analyst, Report Developer, Database Administrator
Requirements:
- Bachelor’s degree in computer science, applied mathematics, engineering or another IT-related field; or equivalent combination of education and/or relevant work experience
- 5 years of experience in IT, to include 3 years data analytics engineering and experience in business intelligence, data warehousing, or analytics
- Must be eligible to work in the United States without need for work or visa residency sponsorship
- Demonstrated ability to architect, develop and maintain cloud technologies
- Understanding of relational and dimensional modeling to facilitate data wrangling, code operationalization and exploration of data.
- Proficient in SQL, PL/SQL, and ELT implementations and experience with RDBMS/NoSQL databases
- Basic proficiency with version control software, preferably Git
Benefits:
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Remote work options
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