Principal Analytics Engineer, Data Solutions

$127,500 - $184,800/Yr

Neurocrine Biosciences - San Diego, CA

Full-time - Principal

San Diego, CA

Chemical Manufacturing

About the position

The Principal Analytics Engineer at Neurocrine Biosciences is responsible for developing and maintaining platforms, patterns, pipelines, and business intelligence (BI) solutions for cross-functional data operations and analytics. This role leads the analytics engineering discipline within IT, focusing on delivering data curation and BI solutions that are practical, flexible, and resilient. The ideal candidate will empower others to adopt successful data practices, enhancing data ownership across business and IT functions.

Responsibilities

• Facilitate cross-functional collaboration to align on project goals and methodologies
• Apply domain-driven design to break down complex business problems
• Oversee the lifecycle of analytics projects, ensuring alignment with business objectives
• Collaborate with stakeholders to define & manage business rules
• Profile and communicate data quality issues to appropriate stakeholders
• Negotiate and address data quality concerns with upstream providers
• Deliver curated data models to support individual & cross-functional use cases
• Create and maintain metadata that supports privacy, cost allocation, AI & business needs
• Develop resilient transformation pipelines to structure data & trigger action when needed
• Design & troubleshoot processes with complex requirements (e.g. low latency, precision)
• Develop and collaborate on BI solutions
• Develop semantic models, calculations & metrics
• Administer platforms and features relevant to the analytics engineering function
• Adhere to security, privacy and regulatory policies and guidelines
• Author solution design documentation
• Mentor team members and business contributors in analytics engineering practices
• Monitor data utilization and bring awareness to the relative cost & value of data assets
• Partner with data governance stakeholders

Requirements

• Bachelor's Degree in Computer Science, Information Technology or a related field and 6+ years in an analytical capacity in conjunction with the development/maintenance of a reporting library, experience using Tableau Software or other business intelligence solutions
• Master's Degree in Computer Science, Information Technology or a related field and 4+ years as noted above
• Knowledge of best practices in the functional discipline and familiarity with the broader underlying concepts of related business disciplines
• Ability to work as part of and lead multiple teams
• Exhibits leadership skill and ability, typically leads lower levels and/or indirect teams
• Excellent communications, problem-solving, analytical thinking skills
• Ability to meet multiple deadlines across a variety of projects/programs, with a high degree of accuracy and efficiency
• Excellent project management skills
• Expert level knowledge of Data Modeling and Business Intelligence Solution development
• Demonstrated expertise with data flow orchestration
• Strong knowledge of Git/GitHub, Jira, and Agile workflows a plus
• Expert knowledge in one or more of the following technology stacks: Cloud (AWS, Azure), Data Platforms (Databricks, Snowflake), Data Transformation (SQL, Python), Transformation Frameworks (Databricks DLT, dbt)
• Well-versed in data profiling, data manipulation and/or data analysis
• Proven success writing complex queries on large data sets from disparate data sources
• Strong data warehousing principles and SQL knowledge is preferred
• Experience testing, troubleshooting & establishing API connectivity utilizing software documentation and tools such as Postman
• Experience developing in code-based languages such as Python, R & SQL
• Skilled with data queries, functions and/or procedures using languages such as SQL
• Experience developing business intelligence solutions using tools such as Power BI, Tableau

Nice-to-haves

• Strong knowledge of Git/GitHub, Jira, and Agile workflows
• Experience with data profiling, data manipulation and/or data analysis
• Proven success effectively positioning and conveying the merits of enterprise platforms to customers and prospects

Benefits

• Retirement savings plan (with company match)
• Paid vacation, holiday and personal days
• Paid caregiver/parental and medical leave
• Health benefits including medical, prescription drug, dental and vision coverage
• Annual bonus with a target of 30% of the earned base salary
• Eligibility to participate in equity-based long-term incentive program