Key Responsibilities

• Develop and Maintain Dashboards: Utilize Power BI to design, develop data models, and maintain dashboards and reports that effectively communicate quality and risk management insights to stakeholders.

• Data Analysis, exploration, and delivery: Conduct thorough data analyses to answer business queries, uncover trends, and support decision-making across quality assurance and risk management functions.

• Collaborate on Business Requirements: Work closely with cross-functional teams to understand business needs, design quality and risk experiments, translate them into data-driven solutions and actionable insights.

• Support Data-Driven Decisions: Leverage analytical skills to identify and interpret patterns in data, helping to inform quality improvement and risk mitigation strategies.

• Enhance Data Quality: Ensure data accuracy, integrity, and quality through effective data validation and regular audits, supporting reliable reporting and analysis.

• Optimize Data Visualizations: Create intuitive and impactful data visualizations in Power BI that cater to different levels of technical and non-technical audiences within the organization.

• Process Improvement: Identify areas for process optimization, recommending and implementing improvements to streamline data workflows and reporting capabilities.

• User Training and Support: Train and support end-users in Power BI functionalities, helping them understand and interact with dashboards to make data-informed decisions.

• Assist with Project Management: Contribute to project planning and delivery, ensuring data-related milestones align with project goals and timelines.

• Stay Updated on BI Trends: Maintain awareness of advancements in data analytics, visualization, and Power BI best practices to continuously improve the quality and impact of analyses.

Education Requirements

Bachelor’s degree Computer Science, Business Analytics or other technical discipline in a or equivalent combination of education, training and experience.

Job Related Experience

• Technical skills and experience in data analytics are required to perform required analysis in support of the quality and risk activities.

• Ability to analyse and interpret complex data. This includes knowledge of statistical analysis techniques.

• Proficiency in programming languages such as Python, R, & SQL.

• Skills in data visualization tools, preferably Power BI or Tableau or Qlik.

• Technical problem-solving skills are required as this is a specialized role there is no inherit support.

• This role will interact across several departments and divisions.

• This role will primarily work as team member with reporting to next level management.

• This is a global role that will interact with a variety of cultures across GSK global footprint.

• Languages/tools expected: Python, R, Apache Spark, Power BI, Spotfire

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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