Neurocrine Bioscience
Principal Analytics Engineer, Data Solutions
Neurocrine Bioscience, San Diego, California, United States, 92189
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 .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.Your Contributions (include, but not limited to):Facilitate cross-functional collaboration to align on project goals and methodologiesApply domain-driven design to break down complex business problemsOversee the lifecycle of analytics projects, ensuring alignment with business objectivesCollaborate with stakeholders to define & manage business rulesProfile and communicate data quality issues to appropriate stakeholdersNegotiate and address data quality concerns with upstream providersDeliver curated data models to support individual & cross-functional use casesCreate and maintain metadata that supports privacy, cost allocation, AI & business needsDevelop resilient transformation pipelines to structure data & trigger action when neededDesign & troubleshoot processes with complex requirements (e.g. low latency, precision)Develop and collaborate on BI solutionsDevelop semantic models, calculations & metricsAdminister platforms and features relevant to the analytics engineering functionAdhere to security, privacy and regulatory policies and guidelinesAuthor solution design documentationMentor team members and business contributors in analytics engineering practicesMonitor data utilization and bring awareness to the relative cost & value of data assetsPartner with data governance stakeholdersRequirements: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 ORMaster's Degree in Computer Science, Information Technology or a related field and 4+ years as noted aboveHas knowledge of best practices in the functional discipline and familiarity with the broader underlying concepts of related business disciplinesWorks to improve tools and processes within functional areaDeveloping reputation inside the company as it relates to area of expertiseAbility to work as part of and lead multiple teamsExhibits leadership skill and ability, typically leads lower levels and/or indirect teamsExcellent communications, problem-solving, analytical thinking skillsSees broader picture, impact on multiple departments/divisionsAbility to meet multiple deadlines across a variety of projects/programs, with a high degree of accuracy and efficiencyExcellent project management skillsExpert level knowledge of Data Modeling and Business Intelligence Solution development, including translating business requirements into technical requirements and data modelsDemonstrated expertise with data flow orchestrationStrong knowledge of Git/GitHub, Jira, and Agile workflows a plusExpert 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, dbtWell-versed in data profiling, data manipulation and/or data analysis. Proven success writing complex queries on large data sets from disparate data sourcesStrong data warehousing principles and SQL knowledge is preferredProven success effectively positioning and conveying the merits of enterprise platforms to customers and prospectsExperience testing, troubleshooting & establishing API connectivity utilizing software documentation and tools such as PostmanExperience developing in code-based languages such as Python, R & SQLSkilled with data queries, functions and/or procedures using languages such as SQLExperience developing business intelligence solutions using tools such as Power BI, TableauNeurocrine 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.The annual base salary we reasonably expect to pay is $127,500.00-$184,800.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. In addition, this position offers an annual bonus with a target of 30% of the earned base salary and eligibility to participate in our equity based long term incentive program. Benefits offered include a retirement savings plan (with company match), paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.
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neurocrine.com , and follow the company on
LinkedIn ,
X (Formerly Twitter)
and
Facebook .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.Your Contributions (include, but not limited to):Facilitate cross-functional collaboration to align on project goals and methodologiesApply domain-driven design to break down complex business problemsOversee the lifecycle of analytics projects, ensuring alignment with business objectivesCollaborate with stakeholders to define & manage business rulesProfile and communicate data quality issues to appropriate stakeholdersNegotiate and address data quality concerns with upstream providersDeliver curated data models to support individual & cross-functional use casesCreate and maintain metadata that supports privacy, cost allocation, AI & business needsDevelop resilient transformation pipelines to structure data & trigger action when neededDesign & troubleshoot processes with complex requirements (e.g. low latency, precision)Develop and collaborate on BI solutionsDevelop semantic models, calculations & metricsAdminister platforms and features relevant to the analytics engineering functionAdhere to security, privacy and regulatory policies and guidelinesAuthor solution design documentationMentor team members and business contributors in analytics engineering practicesMonitor data utilization and bring awareness to the relative cost & value of data assetsPartner with data governance stakeholdersRequirements: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 ORMaster's Degree in Computer Science, Information Technology or a related field and 4+ years as noted aboveHas knowledge of best practices in the functional discipline and familiarity with the broader underlying concepts of related business disciplinesWorks to improve tools and processes within functional areaDeveloping reputation inside the company as it relates to area of expertiseAbility to work as part of and lead multiple teamsExhibits leadership skill and ability, typically leads lower levels and/or indirect teamsExcellent communications, problem-solving, analytical thinking skillsSees broader picture, impact on multiple departments/divisionsAbility to meet multiple deadlines across a variety of projects/programs, with a high degree of accuracy and efficiencyExcellent project management skillsExpert level knowledge of Data Modeling and Business Intelligence Solution development, including translating business requirements into technical requirements and data modelsDemonstrated expertise with data flow orchestrationStrong knowledge of Git/GitHub, Jira, and Agile workflows a plusExpert 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, dbtWell-versed in data profiling, data manipulation and/or data analysis. Proven success writing complex queries on large data sets from disparate data sourcesStrong data warehousing principles and SQL knowledge is preferredProven success effectively positioning and conveying the merits of enterprise platforms to customers and prospectsExperience testing, troubleshooting & establishing API connectivity utilizing software documentation and tools such as PostmanExperience developing in code-based languages such as Python, R & SQLSkilled with data queries, functions and/or procedures using languages such as SQLExperience developing business intelligence solutions using tools such as Power BI, TableauNeurocrine 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.The annual base salary we reasonably expect to pay is $127,500.00-$184,800.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. In addition, this position offers an annual bonus with a target of 30% of the earned base salary and eligibility to participate in our equity based long term incentive program. Benefits offered include a retirement savings plan (with company match), paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.
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