IQVIA

BI Analytics Engineer, IQVIA Digital (Remote)

IQVIA$77K — $194K *
Wayne, PA 19087In-Person
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in a relevant field or equivalent experience
  • 5+ years in analytics engineering or related areas
  • Strong experience with dimensional data models
  • Understanding of data warehouse concepts and best practices
  • Proficient in SQL with large datasets
  • Experience with modern cloud data platforms
  • Ability to collaborate across technical and business domains

Responsibilities

  • Design and maintain semantic data models for enterprise reporting
  • Translate analytical requirements into scalable data structures
  • Implement data modeling standards and best practices
  • Establish business-friendly semantic layers for complex data
  • Collaborate with teams to align models with architectural needs
  • Operationalize metric definitions within semantic models
  • Evaluate and optimize data model performance for self-service analytics

Benefits

  • Health and welfare benefits
  • Incentive plans and bonuses depending on position
  • Flexible work schedule options
  • Opportunities for professional development
  • Collaborative work environment across functions
Full Job Description
Job Overview
  • Designs and manages the foundational analytical data structures that enable scalable business intelligence, self-service analytics, and consistent reporting across the organization. Serves as a key partner between business and technical teams, ensuring data is modeled and governed in a way that is intuitive for consumers, aligned with business needs, and sustainable as analytical capabilities mature.


Essential Functions
  • Designs, develops, and maintains semantic data models, including facts, dimensions, hierarchies, relationships, and business metrics that support enterprise reporting and analytics, helping establish the foundational architecture, standards, and patterns that will support the organization's long-term analytical capabilities while bringing structure and scalability to evolving business requirements and datasets.
  • Partners with business intelligence developers, analysts, and stakeholders to understand analytical requirements and translate them into scalable, reusable data structures.
  • Defines and implements data modeling standards and best practices, including dimensional modeling, slowly changing dimensions, historical data management, and conformed dimensions.
  • Establishes and maintains business-friendly semantic layers that simplify access to complex healthcare and product datasets while preserving data accuracy and consistency.
  • Collaborates with software engineering, data platform, and business teams to ensure semantic models align with source system design, enterprise data architecture, and organizational reporting needs.
  • Partners with analysts and business stakeholders to operationalize approved metric definitions and business rules within scalable, reusable semantic models.
  • Evaluates and optimizes model performance, scalability, and usability to support both dashboard-based reporting and ad hoc self-service analysis.
  • Participates in data architecture discussions and provides guidance on data design decisions that impact reporting, analytics, and data consumption.
  • Identifies opportunities to improve data accessibility, model reusability, and overall analytical maturity across the organization.
  • Validates data quality and model integrity through testing, monitoring, and collaboration with engineering and analytics teams.
  • Supports governance efforts by establishing standards for data definitions, metric calculation, documentation, and semantic layer usage.
  • Serves as a technical advisor on analytics initiatives, helping teams understand the implications of data design decisions on long-term scalability and maintainability.
  • Identifies opportunities to extend analytical data models and curated datasets to support self-service analytics, AI-assisted data exploration, and other emerging data consumption patterns.


Qualifications
  • Bachelor's Degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent experience.
  • 5+ years of experience in analytics engineering, business intelligence engineering, data modeling, data architecture, or a related field.
  • Strong experience designing and implementing dimensional data models, including fact and dimension tables, star schemas, and semantic layers.
  • Demonstrated understanding of data warehouse concepts and best practices, including slowly changing dimensions, historical tracking, surrogate keys, and data lineage.
  • Experience developing and optimizing data models that support business intelligence and self-service analytics solutions.
  • Proficiency in SQL and experience working with large, complex datasets.
  • Experience developing analytical data models within modern cloud data platforms such as Snowflake, BigQuery, Redshift, Synapse, or Databricks
  • Experience optimizing analytical data structures for performance, scalability, and self-service consumption
  • Experience partnering with business stakeholders to translate analytical requirements into scalable technical solutions.
  • Strong understanding of data governance, metric standardization, and analytical best practices.
  • Experience collaborating with software engineering, data engineering, and analytics teams in a cross-functional environment.
  • Ability to balance technical design considerations with business usability and accessibility requirements.
  • Strong written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
  • Experience with healthcare data, product data, or other complex domain-specific datasets preferred.
  • Experience supporting Power BI or Tableau semantic models, tabular models, or equivalent business intelligence technologies preferred.


The potential base pay range for this role, when annualized, is $77,800.00 - $194,400.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

About IQVIA

Innovex offers superior and creative advice to corporations. In addition, they raised venture capital for our own affiliate companies, in addition to having assisted clients in fund-raising efforts, new venture outreaches, and financing. Their engineers and technical staff offer varied backgrounds in manufacturing, high tech, product design, quality control, safety, biomechanics, and robotics.

IQVIA Careers

Join the vibrant team at IQVIA, a leading global provider of advanced analytics, technology solutions, and clinical research services to the healthcare industry. IQVIA is recognized for its commitment to innovation, leadership in healthcare, and a culture that celebrates diversity and inclusion.

Work You’ll Do

At IQVIA, we offer job opportunities that empower you to leverage your skills and drive healthcare forward. Become part of a team that thrives on innovation and the pursuit of operational excellence, helping to improve patient outcomes across the globe.

Transform Your Career

IQVIA is the place where you can transform the world of healthcare while advancing your career. With a variety of positions available, from research and development to business analytics, IQVIA is at the forefront of the industry. Our leadership is committed to fostering a culture of growth and professional development, making IQVIA a prime environment for both seasoned professionals and those seeking an internship to kickstart their career.

Innovative Work Environment

Join over 50,000 dedicated professionals in a dynamic environment where technology meets healthcare. At IQVIA, innovation isn’t just a buzzword; it's the backbone of how we solve complex challenges. With cutting-edge resources and a collaborative global team, your work at IQVIA directly contributes to advancements in life sciences.

Career Development and Benefits

IQVIA believes in nurturing its team members not just as employees but as individuals seeking to grow their careers. We support this with unmatched benefits, diversity training, and opportunities for leadership development. Our commitment to your career growth is matched by our dedication to providing a supportive and inclusive workplace.

Explore Job Opportunities

Whether you’re looking for a full-time position, part-time work, or a graduate internship, IQVIA offers a range of employment options to match your career ambitions. Our hiring process is designed to be transparent and engaging, helping you to understand where your skills can best be utilized within the company.

Networking and Professional Development

At IQVIA, networking and professional development are part of our DNA. Engage with industry leaders, participate in global conferences, and take advantage of our in-house training programs designed to enhance your skills and advance your career.

Stay Connected

Join Our Team Search open positions that match your skills and interests. We look for passionate, curious, creative, and solution-driven team players. Explore the diverse job opportunities at IQVIA and find where you can make an impact.

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Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities that await at IQVIA. Embark on a journey of growth, innovation, and leadership at IQVIA. Shape your future in an environment that values diversity and fosters professional development. Join IQVIA today and transform healthcare through the power of information and technology.
Learn more about IQVIA
Size
82,000 employees
Market Cap
$37.5 billion
Industry
Net Income
$279 million
Founded
2016
5 Year Trend
+15.3%
Revenue
$11.3 billion
NASDAQ

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