Principal Analytics Engineer, Data Solutions

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.

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, visitneurocrine.com, and follow the company on LinkedIn, X (Formerly Twitter) and Facebook. (*in collaboration with AbbVie)

About the Role:

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• 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

• 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 (inclusive of both Tableau and Tableau CRM) or other business intelligence solutions OR

• Master's Degree in Computer Science, Information Technology or a related field and 4+ years as noted above

• Has knowledge of best practices in the functional discipline and familiarity with the broader underlying concepts of related business disciplines

• Works to improve tools and processes within functional area

• Developing reputation inside the company as it relates to area of expertise

• 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

• Sees broader picture, impact on multiple departments/divisions

• 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, including translating business requirements into technical requirements and data models

• Demonstrated expertise with data flow orchestration

• Strong knowledge of Git/GitHub, Jira, and Agile workflows a plus

• Expert knowledge in one or more of each of the following technology stacks/competencies: 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

• Proven success effectively positioning and conveying the merits of enterprise platforms to customers and prospects

• 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

Neurocrine Biosciences is an EEO/AA/Disability/Vets employer.

We are committed to building a diverse, equitable, and inclusive workplace, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don't line up to exactly what we have outlined in the job description.

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