Analyst, IT​/Tech, Data Analyst

Analyst

Company:
Norstella

Location:

Remote, United States

Date Posted:
Jul 10, 2026

Employment Type:

Full Time

Job : R-2052

About the role:

We are currently seeking ahigh-energy, motivated,and passionate expert in RWD and the pharmaceutical industry to join our RWD Engagement Team as aRWD Analytic Consultant to support our delivery of RWD engagements across the life sciences industry. The ideal candidate will be passionate about sleuthing through RWD to unpack insights and answers to some of the most challenging business problems our clients face.

This role’s creation is in reaction to the demand for Norstella’snewest service offerings leveraging Norstella’s unified Real World Data asset, a combination of claims, lab, SDOH and EMR data. You will be joining an organization hard wired for innovation and specialization to meet the high demands of our biopharmaceutical and life sciences client base. You will join a high-performing team empowered to work creatively to deliver solutions that enable patients to access therapies they need.

This role requires a combination of business acumen, analytical, technical, and commercial expertise to effectively deliver

Norstella’sRWD solutions. Our RWD offerings include cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. It is critical that an individual in this role has worked in and understands the dynamics of the US healthcare ecosystem.

• Asa RWDAnalytic Consultant, you will play a crucial role in supporting life sciences analytical use cases by querying and analyzing a wide range of healthcare data sources, including claims, lab results, electronic medical records (EMR), and other real-world data
• Your expertise in SQL and data analysis will contribute to enhancing our understanding of healthcare trends, optimizing patient care, and driving evidence-based decision-making
• Collaborate with cross-functional teams, including clinicians, data scientists, statisticians, and healthcare professionals, to identify and define analytical requirements and deliver actionable insights
• Clean, validate, and transform raw data into structured formats suitable for analysis, ensuring data quality and integrity throughout the process
• Develop and maintain data documentation, including data dictionaries, data mappings, and data lineage, to ensure data transparency and accessibility
• Translate analytic outputs into consultative business insights

• Bachelor’s or advanced degree in relevant quantitative field (e.g., Engineering, Economics, Epidemiology, Mathematics, Public Health, Computer Science etc.)
• 3 years of professional experience working hands on with RWD (e.g., open/closed claims, APLD, lab, EMR/EHR, hospital charge master, billing codes, etc.)
• Understanding of life sciences industry and US healthcare ecosystem
• Strong problem-solving and analytical skills, with attention to detail
• Strong Excel and PowerPoint skills
• Proficiency in querying relational databases (SQL experience preferred)
• Ability to work collaboratively in a team environment, as well as independently, with a proactive and self-driven approach
• Client-facing experience a plus
• Entrepreneurial spirit, results-oriented individual who is highly motivated, decisive, flexible in thought, and has the creativity to excel

01:
Bold, Passionate, and Mission-First

02:
Integrity, Truth, and Reality

03:
Kindness, Empathy, and Grace

04:
Resilience, Mettle, and Perseverance

05:
Humility, Gratitude, and Learning

• Medical & Prescription Drug Benefits
• Health Savings Account (HSA) or Flexible Spending Accounts (FSA)
• Dental & Vision Benefits
• Basic Life and AD&D Benefits
• 401k Retirement Plan with Company Match
• Company Paid Short & Long-Term Disability
• Paid Parental Leave
• Paid Time Off & Company Holidays

The expected base salary for this position ranges from $115,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and,…