Insights & Analytics Manager

Portugal - Lisboa

AstraZeneca

AstraZeneca is a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide.

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Insights & Analytics Manager

Location: Lisbon Portugal

Competitive salary and benefits apply

At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big, and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.

Are you passionate about transforming data into actionable insights? As an Insights & Analytics Manager, you will prepare data-driven insights for business decision-makers, helping to develop business intelligence, optimize effectiveness, and predict business outcomes. You will analyze data to support processes by identifying, analyzing, and interpreting trends or patterns. Additionally, you will prepare ongoing reports and data visualizations to aid in data storytelling within defined project scopes using established tools and standards.

Accountabilities

  • Document business requirements, processes, and solutions. Create clear and concise documentation, including business requirement documents, functional specifications, and process flows. Translate business needs into technical requirements such as fit-for-purpose solution design and data models.

  • Provide insights support for exploratory, descriptive, and predictive data analytics to cross-functional small-scale projects to execute defined solutions that drive value to AstraZeneca.

  • Develop visualizations and tools to support and deliver analytical solutions within defined project scope.

  • Develop, implement, and support analytical and data visualization solutions designed to drive the interrogation of datasets for insights in scientific and business application areas within defined project scope. Employ the use of dedicated business intelligence applications and/or cloud services but may also leverage the reporting capabilities of existing ERP, CRM, and/or database software vendors and analytical software such as R, Python, Matlab, and others.

  • Create and maintain exploratory and predictive analytics statistical models for ongoing and ad hoc review and analysis of data.

  • Build effective relationships with an established range of stakeholders to ensure utilization and value of information resources and services. Clearly and objectively communicate results, as well as their associated uncertainties and limitations.

  • Attend stakeholder meetings, take notes, actively participate in discussions, and send meeting minutes. Influence decision-making processes and guide stakeholders towards effective solutions by facilitating consensus among a diverse group of stakeholders.

  • Develop, maintain, and apply ongoing knowledge and awareness in trends, standard methodology, and new developments in analytics.

  • Implement working practices to ensure that work is delivered to robust quality standards and aligned to defined governance frameworks and policies.

Essential Skills/Experience

  • Bachelor's Degree in a relevant discipline or equivalent number of years of experience

  • Demonstrated knowledge of data analytic and visualization tools such as R, Python, SpotFire or Tableau

  • Familiarity with database systems (e.g., SQL, NoSQL, graph)

  • Proven ability to draw conclusions from data and present in a succinct fashion to stakeholders

  • Strong interpersonal skills in building good relationships with stakeholders and managing conflicting priorities and expectations throughout the project lifecycle

  • Good understanding of the pharmaceutical industry and business domain including financial analysis. Familiar with business processes, terminology, and trends to address business challenges effectively

  • Lead 2-3 projects’ scope, timelines, and deliverables independently. Familiar with project management software

Desirable Skills/Experience

  • Master's Degree in mathematics, computer science, engineering, physics, statistics, management and economics, or a related quantitative discipline

  • Experience in consultancy and/or pharmaceutical industry

  • Comfortable working in high-performance computing or cloud environment

  • Communicates effectively in both verbal and written forms. Clearly articulate complex concepts and ideas to both technical and non-technical stakeholders; includes listening attentively and asking relevant questions

  • Software development skills

When we put diverse 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. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we are driven by a shared purpose – to push the boundaries of science to deliver life-changing medicines. Our inclusive culture fosters innovation through collaboration, lifelong learning, growth opportunities, and a commitment to diversity. We are dedicated to making a difference in medicine, patients' lives, and society.

Ready to make an impact? Apply now!

Date Posted

23-Oct-2024

Closing Date

11-Nov-2024

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 authorization and employment eligibility verification requirements.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Business Intelligence Computer Science Data Analytics Data visualization Economics Engineering Mathematics Matlab NoSQL Pharma Physics Python R Spotfire SQL Statistics Swift Tableau

Perks/benefits: Career development Competitive pay

Region: Europe
Country: Portugal

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