Python jobs in United Kingdom

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

The Business Data Analyst is responsible for the data specification, data design and data testing of repeatable, scalable data products which can be easily interpreted by audiences across the business, to drive critical business thinking. The Business Data Analyst will be aligned to the specification and pre‑release validation of innovative solutions for the business, as well as curious around existing or new potential data sources which could be integrated into our data products. The Business Data Analyst role leverages cross functional working between Data Engineers and Business Analysts, aligning to a constant appreciation of business impact throughout.

The role is an integral part of realizing our ambition to reach predictive and prescriptive analytics, and is split into the following key responsibilities:

• Solution based mindset, deep thinking, grounded in business and tech verification of robust end‑to‑end data flows
• Detailed requirements gathering which facilitate delivery of systematized, scalable, engineered data solutions
• Documented specifications that consider the critical data paths, grounded in the business logic and ‘why’
• Fast iteration builds of feasibility prototypes, considered for specific data features or elements
• Validating the most logical way forward, prior to scalable systemisation, through leveraging wider team network
• Consulting with the business on demands, furthering only those that align with the most impactful innovations

• Deep knowledge of AbbVie’s data and its structures in context of how those data will be leveraged by data pipelines, data technologies and end business use cases
• Fundamental appreciation of machine learning, predictive analytics and advanced visualisation techniques
• Skills and experience in grooming and triaging data entities
• Data consultation, focused on the delivery of business decisions through data
• Decision modelling (‘what if’ scenario‑based logic for enterprise data processing)
• KPI design and specification iteration, validation and challenge of data/metric logic
• Ability to interpret and untangle outcomes from complex data for a commercial, decision‑making audience
• Deep dive data quality assessments and facilitation

• Clear prioritisation of most impactful business innovations
• Evidence based data validation resulting from data engineering impacts
• Data health check authentication and incident management
• Data query and complaints management, alongside a stewardship mindset in context of enterprise business
• A strong advocate and enforcer of documentation

• Gains and maintains an intimate understanding of our data and its workflows, with the aim of using its possibilities and limitations in scoping conversations with the business
• Facilitates a critical mass of data literacy throughout the business, encouraging that capability wherever possible
• Pushes for the realisation of better business questions (at the point of request)

• 3+ years relevant experience of data processing, data solutions and technologies
• 3+ years relevant experience of requirements gathering to technical specification
• 3+ years relevant in working within a complex, demanding D’N’A (data and analytics) environment
• Relevant experience of Pharmaceutical / Biopharmaceutical commercial enterprise advantageous
• Python/PySpark or other coding experience advantageous

• Self‑starter, quick to learn
• An excellent communicator and networker
• Deep thinking and enterprise solution mindset
• Expert analytical and problem‑solving skills, with the ability to perform exploratory data analysis with advanced tools and processes in multiple environments
• Ability to independently frame business questions, identify data sources, formulate a methodology and manage project timelines and deliverables
• Ability to integrate large volumes of data from multiple data sources, conduct deep data dives and statistical analysis systematically including comprehensive data profiling
• Ability to synthesize and triangulate results to create a compelling fact‑based business story
• Attention to detail and genuine curiosity at anomalies
• Ability to move easily between strategic to operational and tactical thinking across different stakeholder groups
• Excellent interpersonal skills with demonstrated ability to work effectively in multifunctional teams and with senior management
• Balances an innovative mindset with technical considerations throughout, grounded in the wider realisation of technical deliverables and real‑world limitations
• Ability to influence, partner, challenge thinking, gain and maintain credibility with internal stakeholders
• Customer and marketplace focused and driven by the importance of business results
• Ability to build strong cross‑functional, collaborative working relationships
• Ability to influence senior stakeholders and where no direct line of responsibility exists
• Ability to think creatively and have the experience and competency to initiate new projects from a blank sheet of paper to cross‑divisional implementation
• Team player who is skilled in influencing others and facilitating discussions
• Structured approach to problem solving in complex and ambiguous situations
• Ability to manage multiple projects within a complex and changing environment
• Proven track record of project management, gained through implementing major projects and initiatives which have impacted across a wide range of commercial functions
• Ability to prepare and deliver complex data and analysis, and portray data stories to a non‑technical, but highly business focused audience, including but not limited to senior stakeholders and key decision makers

AbbVie’s UK offices in Maidenhead prioritize accessibility and employee well‑being, creating a welcoming environment for everyone. The office includes a large car park for easy access, as well as step‑free entry, accessible restrooms, and elevators to accommodate individuals with mobility challenges. The workspace features assistive technologies and adaptable workstations, fostering an inclusive culture. Additionally, there is a dedicated quiet zone for those who prefer to work without distraction. This area maximizes natural light and is strategically positioned for easy access with minimal noise disturbances. If you need specific information or have questions about accessibility arrangements, please let us know during the process.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html