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Innovation Data Analyst - Associate/Sr/Principal

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PPD

2021-12-03 08:51:48

Job location London, Greater London, United Kingdom

Job type: fulltime

Job industry: Transport & Logistics

Job description

*Innovation Data Analyst - Any level (Associate, Senior or Principal)*
At PPD, our purpose is to improve health as a global provider of clinical development and laboratory services. With a focus on operation excellence, we improve health by helping customers deliver life-changing medicines. Our purpose, to improve health, forms the foundation of our commitment to our customers and patients around the world. This is what drives us to continually reimagine and reformulate. Through ongoing innovation, we make it more efficient for patients and physicians to participate in clinical trials. Our patients are always at the heart of our work.

Our dedication to innovation requires talent and we are looking globally for innovative Data Analysts to join our Business Insights and Innovation team. In this role you will interface directly with business stakeholders, enjoy exploratory data analysis, design insightful visualisations, and develop bespoke tools using complex and high-dimensional datasets through application of programming and/or data modelling to recognize patterns, identify opportunities and generate valuable business insights in support of PPD's dedication to innovation. This is an excellent opportunity for a dynamic well-rounded and innovative individual.

At PPD we offer continued career advancement opportunities, award winning training and benefits focused on the health and wellbeing of our employees. We very much hope that you consider joining our team.

*Essential Functions*

* The successful candidate will need to be data proficient - likes to use data to make decisions as well as technically intuitive and enjoy learning new technologies.
* User-focused - Keeps user needs in mind. Thoughtful about what's intuitive for others, what's not and why
* In depth knowledge in a range of technologies including one or more of the following: Spotfire, Snowflake, Tableau, Microsoft Power Platform (e.g. Power Apps, Power BI), Shiny, Python, R, SAS and/or SQL
* Generates and tests hypotheses and analyses and interprets the results.
* Navigates large, complex datasets for data mining, profiling, and curation as well as identifies related data that is fundamental to successfully providing insight or applying predictive techniques.
* Designs, develops and programs methods, processes, and software programs to consolidate, cleanse, and analyse unstructured, diverse data sources to recognize patterns, identify opportunities, and generate actionable business insights and solutions.
* Designs, develops, and evaluates predictive models and algorithms that lead to optimal value extraction from the data to support business process improvements and solve business challenges.
* Effectively communicates and guides stakeholders; Interprets and communicates findings and solutions from analysis and experiments to a broad audience, including business leadership
* Ability to work on a multi-disciplinary project team
* Excellent problem solving and innovative skills
* Excellent written and verbal communications skills
* Ability to independently and effectively organize and manage multiple assignments with challenging timelines
* Ability to adapt and adjust to changing priorities
* Demonstrated positive attitude, enthusiasm toward work, and the ability to work well with others

*Qualifications:*

*Education and Experience*

* Bachelor's degree, or equivalent, in computer science, statistics, biostatistics, mathematics or related field and at least 2 years of experience that provides the knowledge, skills, and abilities to perform the job requirements

*Required Knowledge, Skills and Abilities:*

* Data proficient - likes to use data to make decisions
* Technically intuitive - likes learning new technology tools and able to do so quickly
* In depth knowledge in a range of technologies including one or more of the following: Spotfire, Snowflake, Tableau, Microsoft Power Platform (e.g. Power Apps, Power BI), Shiny, Python, R, SAS and/or SQL
* User-focused - Keeps user needs in mind. Thoughtful about what's intuitive for others, what's not and why
* Experience demonstrating a strong attention to detail
* Experience demonstrating leadership ability and ability to work on a multi-disciplinary project team
* Excellent problem solving and innovative skills
* Excellent written and verbal communications skills
* Ability to independently and effectively organize and manage multiple assignments with challenging timelines
* Ability to adapt and adjust to changing priorities
* Demonstrated positive attitude, enthusiasm toward work, and the ability to work well with others
* Understanding and experience working with complex data systems

*Preferred Knowledge, Skills and Abilities:*

* Experience with the Clinical Trial process
* Ability to train, mentor and supervise others

At PPD we hire the best, develop ourselves and each other, and recognise the power of being one team. We understand that you will want to grow both professionally and personally throughout your career, and therefore at PPD you will benefit from an award-winning learning and development programme, ensuring you reach your potential.

As well as being rewarded a competitive salary, we have an extensive benefits package based around the health and well-being of our employees. We have a flexible working culture, where PPD truly value a work-life balance. We've grown sustainably year on year but continue to offer a collaborative environment, with teams of colleagues eager to share expertise and have fun together. We are a global organisation but with a local feel.

- We have a strong will to win - We earn our customer's trust - We are gamechangers - We do the right thing -We are one PPD -

If you resonate with our five principles above, and ultimately wish to accelerate the delivery of safe and effective therapeutics for some of the world's most urgent health needs, then please submit your application - we'd love to hear from you.

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