Principal Analytics Engineer, Data Solutions

Who We Are:

At Neurocrine Biosciences, we pride ourselves on having a strong, inclusive, and positive culture based on our shared purpose and values. We know what it takes to be great, and we are as passionate about our people as we are about our purpose - to relieve suffering for people with great needs, but few options.

What We Do:

Neurocrine Biosciences is a leading neuroscience-focused, biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs, but few options. We are dedicated to discovering and developing life-changing treatments for patients with under-addressed neurological, neuroendocrine, and neuropsychiatric disorders. The company’s diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington’s disease, endometriosis* and uterine fibroids*, as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders, because you deserve brave science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X (Formerly Twitter) and Facebook. (*in collaboration with AbbVie)

About the Role:

Responsible for developing and maintaining platforms, patterns, pipelines, assets & BI solutions for cross-functional data operations & analytics. This position will lead the analytics engineering discipline within IT. They will deliver data curation & BI solutions that demonstrate practical iteration, flexibility to change, and resilience to common processing challenges. This position also seeks to empower others to adopt successful patterns & practices, increasing data ownership & contribution across business & IT functions.

Our ideal candidate is a self-starter with a passion for helping people access & use data effectively. They have deep experience with data modeling challenges & design trade-offs and create practical solutions from complex problems. They have pharmaceutical experience and bring an understanding of relevant data sources, modeling needs & use cases – especially those pertaining to Commercial Sales & supporting functions.

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Your Contributions (include, but not limited to):

• 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

• Oversee the lifecycle of analytics projects, ensuring alignment with business objectives

• 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

• Other duties assigned as required

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 l