Overview


Título del trabajo: Data Analytics Agile Operations Specialist (Coyol, Alajuela)

Compañía: Smith & Nephew

Descripción de funciones: Data Analytics Agile Operations Specialist (Coyol, Alajuela)

Life Unlimited. At Smith+Nephew we design and manufacture technology that takes the limits off living.

Complaints Investigator - Quality Technician III - Shift A 1

Are you interested in making a global impact? Smith+Nephew, a pioneering leader in medical technology since 1856, is seeking a highly skilled Data Analytics Agile Operations Specialist, a passionate innovator who blends data science technologies with Agile approaches to handle our complex analytics portfolio within the Global Clinical and Medical Affairs division.

The ideal candidate will have a solid foundation in data science, training in Agile, proven track record in creating and deploying internal ML/automation solutions to improve data analytics processes. The role involves a significant focus on evolving our Agile methodologies, particularly Scrumban and demonstrating programming skills to build and refine tools that support this evolution.

For internal candidates only: P3

What will you be doing?

Agile Operations & Automation:

  • Lead the implementation and refinement of Agile methodologies, with a focus on developing and deploying automation tools to improve efficiency and accuracy.
  • Apply advanced programming skills to build sophisticated data analytics and reporting tools.
  • Drive the automation of routine data processes, ensuring scalability and robustness in data operations.

Advanced-Data Analytics & Project Management:

  • Manage and track the progress of a diverse set of analytics projects, ensuring timely delivery and alignment to quality standards.
  • Identify and mitigate risks within the project portfolio, employing automation and advanced programming solutions where applicable.
  • Develop, deploy, and maintain comprehensive reporting systems, applying programming languages and tools like Python, R, and PowerBI.

What will you need to be successful?

  • Education: At least a bachelor’s degree in a relevant field (e.g., data science, computer science, engineering). A relevant graduate degree is preferred
  • Experience: At least 3 years in a data analytics, data science, or technical agile operations role.
  • Experience in deploying automation or AI/ML solutions for business use cases, with an understanding of how to integrate these technologies into existing data systems, is desirable.
  • Languages: Advanced English level.
  • Knowledge: Strong programming skills with experience in creating and deploying automation solutions.
  • Proven experience in handling complex analytics projects/portfolios and implementing Agile methodologies is crucial.
  • Proficiency in Python and/or R is desirable.
  • Proficiency in business intelligence tools such as PowerBI, Spotfire, and Tableau is desirable.
  • Lean Six Sigma Black Belt or Green Belt is desirable.
  • Familiarity with version control systems, particularly Git is desirable.
  • Competencies: An interest in innovation and a passion for leveraging technology to solve complex business problems.
  • Schedule: flexibility to adapt to EST time zone.

You. Unlimited

We believe in creating the greatest good for society. Our strongest investments are in our people and the patients we serve.

Inclusion, Diversity and Equity- Committed to Welcoming, Celebrating and Thriving on Diversity, Learn more about on our website.

Other reasons why you will love it here!

  • Your future: stock purchase program, referral bonus, subsidy in transport and food, recognition program.
  • Work/Life Balance: Extra days off, birthday off, voluntary hours.
  • Your Wellbeing: company doctor, medical insurance, gym, health campaigns, employee assistance program, parental leave,
  • Flexibility: Hybrid work model (for more professional roles), flexible schedules.
  • Training: Training program, unlimited learning.
  • Extra perks: employees association, and more…

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Ubicación: Alajuela

Fecha del trabajo: Thu, 11 Jan 2024 08:33:56 GMT