Insights & Analytics Specialist

Location: Gaithersburg, USA

Hybrid: 3 days a week onsite

The Insights & Analytics Specialist helps transform data, business processes, and emerging AI technologies into trusted insights and scalable solutions that improve scientific and business decision-making. Working across business, technology, analytics, and governance functions, the role combines data analysis, data management, process improvement, and AI-enabled innovation to deliver measurable business value. The successful candidate will help identify opportunities for analytics, automation, and AI adoption while ensuring that solutions are scalable, compliant, and aligned with organizational standards. This role is ideal for someone who enjoys solving complex business problems, connecting people and technology, and helping modern analytical and AI capabilities move from experimentation into practical operational us. 

Typical Accountabilities

• Translate business and scientific needs into solutions: Partner with stakeholders to understand challenges, define requirements, and deliver data, analytics, automation, and AI-enabled solutions.
• Perform data analysis and integration: Analyze, profile, transform, and integrate data to support reporting, analytics, AI applications, and data science initiatives.
• Drive AI-enabled business transformation: Identify opportunities to improve scientific and business workflows through analytics, automation, AI agents, and process redesign, delivering scalable solutions that improve efficiency and business outcomes.
• Develop and operationalize AI-enabled solutions: Contribute to the design, deployment, monitoring, and continuous improvement of AI-assisted analytics, AI agents, and automated workflows, leveraging cloud-based platforms where appropriate.
• Bridge business, data, and technology: Collaborate across business, technology, data science, engineering, and governance teams to translate complex needs into practical, scalable solutions and support successful adoption.
• Maintain data quality, governance, and compliance: Apply data governance, metadata management, privacy, security, and quality standards to ensure trusted, compliant, and fit-for-purpose data and solutions.
• Communicate insights effectively: Present findings, recommendations, assumptions, limitations, and business implications clearly to technical and non-technical audiences.

Qualifications and Skills

Essential

• Bachelor's degree in Computer Science, Data Science, Data Management, Information Systems, Statistics, Mathematics, Engineering, or a related discipline.
• At least 1 year of experience performing data analysis, reporting, analytics, or business intelligence activities.
• At least 1 year of experience using Python, SQL, R, databases, visualization platforms, or similar analytical tools.
• Understanding of data quality, governance, metadata management, and data stewardship principles.
• Familiarity with generative AI tools, AI assistants, AI agents, workflow automation, or related technologies.
• Exposure to cloud-based analytics environments, preferably Microsoft Azure or AWS.
• Ability to translate business needs into practical data, analytics, automation, or AI-enabled solutions.
• Strong communication, consulting, and stakeholder engagement skills.
• Ability to work effectively in cross-functional teams.

Desirable

• Experience building, configuring, or supporting AI agents, copilots, workflow automation solutions, or AI-enabled business processes.
• Experience supporting deployment, operationalization, or monitoring of analytics and AI solutions.
• Familiarity with Git, testing, CI/CD, APIs, and modern software engineering practices.
• Experience working across business, technology, governance, quality, or data science functions.
• Experience driving adoption of new technologies through training, enablement, and change management.
• Experience in pharmaceuticals, life sciences, healthcare, or another regulated environment.

The annual base pay for this position ranges from $72,120.80 - $108,181.20 USD. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

Are you ready to be part of a talented, cross-functional team working together to improve lives and make the biggest possible impact for patients, science and society?

Why AstraZeneca?

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility.

Apply now!

Date Posted

08-Oct-2026

Closing Date

14-Oct-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.