Company Description

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.

Job Description

The 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 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 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:

Data specification and design;

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

Data structures;

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

Data governance & quality;

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

Data literacy

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)

Qualifications

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

Competencies;

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 anomolies
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

Additional Information

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