Quick Summary
Partner with business leaders across functional areas to understand business objectives, identify opportunities for data-driven decision making,
Master's degree in Data Science, Analytics, Statistics, Computer Science, Artificial Intelligence, Business Analytics, Engineering, or a related quantitative field preferred.
The AI Data Analyst transforms business questions and complex data into trusted analyses, dashboards, predictive insights, and responsible AI-enabled solutions. This role combines analytics, reporting, visualization, and emerging AI technologies to improve operational efficiency and business performance. The ideal candidate is a recent Master’s graduate or early-career professional who is passionate about data, technology, and solving business challenges in a growing biopharmaceutical company.
Responsibilities
~2 min read- →Partner with business leaders across functional areas to understand business objectives, identify opportunities for data-driven decision making, and translate business questions into actionable analytical solutions.
- →Analyze large and complex datasets to identify trends, patterns, opportunities, and risks that support operational, commercial, financial, and strategic initiatives across the organization.
- →Design, develop, and maintain dashboards, scorecards, reports, and visualizations using Power BI or similar business intelligence tools to provide meaningful insights to stakeholders at all levels of the organization.
- →Collect, cleanse, validate, and integrate data from multiple internal and external sources to ensure accuracy, consistency, and reliability of reporting and analytics solutions.
- →Utilize SQL, Python, and other analytical tools to perform ad hoc analyses, automate reporting processes, improve data accessibility, and support business performance monitoring.
- →Support forecasting, trend analysis, scenario planning, and performance measurement initiatives by applying statistical and quantitative techniques to business data.
- →Collaborate with Information Technology, Commercial, Market Access, Finance, Human Resources, Manufacturing, Quality, and other departments to support enterprise reporting and analytical initiatives.
- →Assist in the evaluation, development, and implementation of artificial intelligence and automation solutions that improve efficiency, enhance decision making, and streamline business processes.
- →Explore emerging technologies, advanced analytics methodologies, and AI tools to identify innovative opportunities that create measurable business value.
- →Present analytical findings, recommendations, and business insights to technical and non-technical audiences through clear visualizations, executive summaries, and presentations.
- →Participate in data governance, data quality, privacy, security, and compliance initiatives to ensure the integrity and responsible use of company information and AI-enabled solutions.
- →Maintain documentation of data sources, methodologies, assumptions, and reporting processes to support transparency, consistency, and knowledge sharing across the organization.
Requirements
~2 min read- Master's degree in Data Science, Analytics, Statistics, Computer Science, Artificial Intelligence, Business Analytics, Engineering, or a related quantitative field preferred. Bachelor's degree with exceptional relevant experience will also be considered.
- Approximately 1 to 3 years of experience in analytics, business intelligence, data science, or a related field. Relevant internships, co-ops, research projects, and graduate-level work may be considered toward experience requirements.
- Experience delivering analyses, dashboards, or data products that influence business decisions and are used by nontechnical stakeholders.
- Hands-on experience applying AI, machine learning, generative AI, or advanced analytics to practical business problems.
- Experience in pharmaceutical, biotechnology, healthcare, medical device, manufacturing, or another regulated industry is preferred.
The above statements are intended to describe the general nature and level of the work being performed by colleagues assigned to this position. This is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Aquestive reserves the right to make changes to the job description whenever necessary.
As part of Aquestive’s employment process, final candidate will be required to complete a drug test and background check prior to employment commencing. Please Note: Aquestive is a drug-free workplace and has a drug free workplace policy in place.
Aquestive provides equal employment opportunities to all colleagues and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This position has an expected base salary range of $100,000 - $130,000.
Location & Eligibility
About this job
- Pay per year
- $100,000–$130,000 a year
- 6% above the $108,226 median for Data Analyst jobs on Jobera (352 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- October 21, 2026
- First seen
- October 21, 2026
- Last seen
- October 21, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- October 21, 2026
Signal breakdown
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.