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BI Consultant

Remote: 
Full Remote
Contract: 
Freelance
Work from: 
Panama

Offer summary

Qualifications:

Bachelor's degree in Data Science, Statistics, Life Sciences or related field, 5+ years of experience in business analytics, Expertise in Xponent prescriber-level prescription data and LAAD, Proficiency in SQL, Tableau, Power BI, Python, or R.

Key responsabilities:

  • Analyze Xponent prescribing data for trends
  • Deliver actionable insights to cross-functional teams
Dale WorkForce Solutions logo
Dale WorkForce Solutions SME https://daleworkforce.com/
11 - 50 Employees
About Dale WorkForce Solutions
Dale Workforce Solutions (DWS) is a WBENC certified woman owned staffing and talent solution leader, providing information technology and professional staffing to a nationwide client base. We strive to EMPOWER change, ENRICH partnerships and ELEVATE outcomes. Mission: To help our clients advance their business culture with exceptional talent through an intentional focus on agility, diversity, and inclusion. We strive to Empower change, enrich partnerships, elevate outcomes Core Values Integrity, Teamwork, Care, and Agility Simplify: Communicate with clarity, focus and purpose Relationships: Act with integrity, value connections, and build trusted partnerships Impact: Make a difference, be passionate, fun and flexible
See more Dale WorkForce Solutions offers

Job description

Job Summary:
Skilled and detail-oriented Business Analytics Consultant with deep experience in the life sciences industry to provide advanced analytics, insights, and recommendations that drive business decisions. The ideal candidate will have a proven ability to understand data trends, a strong working knowledge of Xponent prescriber-level prescription data, and expertise in analyzing LAAD ( longitudinal access and adjudication data). This role requires exceptional analytical skills, a strategic mindset, and the ability to communicate findings effectively to various stakeholders.
Key Responsibilities:
  • Analyze and interpret Xponent prescriber-level prescription data to identify trends, opportunities, and risks.
  • Work with LAAD to assess patient journeys, prescription fulfillment, and payer dynamics.
  • Deliver actionable insights to cross-functional teams, including marketing, sales, market access, and medical affairs.
  • Partner with data science and IT teams to develop analytical models and dashboards
  • Translate complex datasets into compelling narratives, visualizations, and presentations for business stakeholders.
  • Support the development of data-driven strategies for product launches, market expansion, and portfolio optimization.
Qualifications:
Required:
  • Bachelor's degree in Data Science, Statistics, Life Sciences, or a related field
  • 5+ years of experience in business analytics within the pharmaceutical or life sciences industry.
  • Expertise in working with Xponent prescriber-level prescription data and LAAD.
  • Strong analytical skills with proficiency in tools such as SQL, Tableau, Power BI, Python, or R.
  • Understanding healthcare provider and payer ecosystems, including patient journeys and prescription workflows.
  • Proven ability to identify trends, develop insights, and recommend strategies based on complex data analysis.
  • Strong communication skills to present insights to both technical and non-technical audiences.
  • Familiarity with data privacy regulations such as HIPAA and GDPR.
Preferred:
  • Experience supporting commercial, market access, or medical affairs teams in life sciences.
  • Knowledge of FAIR data principles and data governance best practices.
  • Experience with real-world evidence (RWE) and healthcare claims data.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

SQL (Programming Language)Xplenty (ETL Tools)Tableau (Business Intelligence Software)R (Programming Language)Data Privacy LawsPower BIPython (Programming Language)Data AnalysisMedical Insurance ClaimsData GovernanceReal World EvidenceData Ethics

Other Skills

  • Communication
  • Analytical Skills
Are you interested?

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