Data Analyst & Solutions Engineer
About the Role
We are looking for a Data Analyst & Solutions Engineer to support our growing portfolio of analytics solutions and products. This role is ideal for someone who is eager to analyze large datasets for both quality and insights, use critical thinking and attention to detail to develop effective solutions, contribute to product development in the AI arena, and work closely with clients and internal teams to drive impactful results. We are seeking a candidate with strong problem-solving skills, data acumen, and an ability to thrive in a fast-paced environment.
About SENTIER
SENTIER is a leading provider of AI-driven analytics solutions for the life sciences industry. We specialize in promotional investment optimization, next-best engagement, and analytic-ready data, helping pharmaceutical companies maximize the impact of their commercial and medical affairs strategies. Our team combines deep industry expertise with cutting-edge machine learning and data science to deliver actionable insights quickly and effectively.
Key Responsibilities
Data Engineering: Design, build, and maintain scalable data pipelines and architectures that transform raw data into clean, structured datasets optimized for analysis, ensuring data quality, accessibility, and performance for business intelligence and advanced analytics.
Solution Delivery & Support: Assist in the execution of analytics projects for pharmaceutical clients, including data analysis, model validation, and insight generation.
Product Development & Innovation: Contribute to the development and refinement of SENTIER’s analytics products, ensuring they meet client needs and industry demands.
Data Analysis & Reporting: Support the creation of dashboards, reports, and presentations that translate complex data into actionable business insights.
Governance & Quality: Implement data governance and quality frameworks to ensure data integrity, compliance, and consistency.
Client Engagement: Work alongside senior team members to gather client requirements, support project delivery, and ensure successful implementation of SENTIER’s solutions.
Internal Collaboration: Work cross-functionally with data science, engineering, and commercial teams to improve SENTIER’s product offerings and methodologies.
Ideal Candidate
1-2 years of experience in analytics, data science, or life sciences consulting.
Strong analytical mindset with a working knowledge of data analysis (SQL, python), business intelligence (Power BI or similar), visualization techniques (Excel, PowerPoint), and business strategy.
Familiarity with data ETL process and data transfer concepts/capabilities as well as database design.
Experience with data quality concepts and practices as well as data operations.
Working knowledge of current tools and environments such as dbt, Posit, Airflow, Snowflake, RedShift, Azure, etc.
Exposure to pharmaceutical commercial operations, medical affairs, or healthcare data is a plus.
Excellent communication skills with the ability to translate data insights into business recommendations.
Strong troubleshooting skills include the ability to triage and interpret alerts, error messages, and quality control checks.
Self-starter with a bias toward action, capable of balancing multiple projects in a fast-paced environment.
Passion for AI, data science, and life sciences with a desire to grow into a more senior role at SENTIER.
Bachelor’s or higher in Computer Science.
Why SENTIER?
• High-impact work with top life sciences companies.
• Opportunity to work with experienced industry leaders and cutting-edge AI-driven analytics.
• Fast-moving, entrepreneurial environment with room for growth.
• Competitive compensation and flexible working arrangements.
If you’re ready to be part of an innovative and growing team at the intersection of AI, analytics, and life sciences, please send your resume and cover letter to careers@sentieranalytics.com.
We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.