Live opening · Posted 7 hours ago

Manager, Market Access Data Strategy and Business Intelligence

AbbVie · Irvine, CA, United States
Smartrecruiters Hybrid Full-time
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyAbbVie
LocationIrvine, CA, United States
Job typeFull-time
Work modeHybrid
SkillsAWS, Snowflake, Power BI
SourceSmartrecruiters
ListedPosted 7 hours ago

About the role

Description supplied by the original job listing.

The Analytics and Performance Operations (APEX) team supporting AbbVie’s US Commercial organization is growing every day. We comprise highly respected researchers, analysts, and Data SMEs striving to be the gold standard Research & Analytics organization within the biopharmaceutical industry. We serve as strategic in-house advisor and pragmatic compass to Marketing, Sales, and Leadership – ensuring that all decisions are grounded in rigorous intelligence and earned intuition. We look at ‘data’ differently – as an input into insight generation, not an endgame. We appreciate ambiguity but recognize the need for clarity. We work tirelessly to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. Patients depend on us, and we take that very seriously – without taking ourselves too seriously. We are smart, fun, quirky, and innovative – and we’d love for you to join us.
The Manager of Data Strategy and Business Intelligence will develop and execute data strategy plans to support the Market Access and Patient Services organization. This role will report to the Associate Director – Market Access and Patient Services Data Transformation support enterprise capabilities for the APEX organization
Responsibilities:
Maintain comprehensive knowledge of market access data architecture and data flows
Proactively identify and resolve data quality and integrity issues
Collaborate with Business technology Solutions (BTS) and data engineering teams to optimize data pipelines
Troubleshoot complex data-related problems and implement sustainable solutions
Develop and execute a plan for data acquisition and enablement across the various Market Access data domains
Serve as a subject matter expert for data related to key Market Access domains (eg: claims, Payor and Plan hierarchy, syndicated data assets etc.)
Lead the design, build, and implementation of new BI platforms and analytics solutions
Drive ongoing platform enhancements based on evolving business needs and technological advancements
Establish and maintain BI standards, best practices, and governance frameworks
Partner with business stakeholders to gather, document, and manage requirements for key performance indicators (KPIs)
Define and maintain business rules ensuring data accuracy and consistency across reporting
Translate complex business needs into technical specifications for BI solutions
Execute data assessments across new and existing data assets and make use case recommendations to analytics teams.
Bachelor’s degree in one of the following fields: Business, Management Information Systems, Engineering, and/or Operations is required 5+ years of experience in business intelligence, data analytics, or related field
3-5 years of experience in leading projects independently
Experience in concepts of Managed Market controls and pricing (Trade, PBMs, Payors, Government), Pharmaceutical supply chain, Health system affiliations and formulary data
Experience in business and/or analytics consulting roles for technology/analytics services companies a plus.
Strong working knowledge of syndicated pharmaceutical data sources, including claims data sources
Proven track record of successfully delivering BI initiatives from concept to production
Strong analytical mindset with passion for working with data
Hands-on proficiency in BI tools and platforms (e.g. Power BI)
Experience with data modeling and database design principles
Hands on ability with tools, programming languages and cloud infrastructure for ETL – SQL, Trino Snowflake, AWS.
Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of technologies to support the analytics value chain across descriptive and predictive analytics

Employment type
Full-time

Work arrangement
Hybrid

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