Costa Rica Job Openings
Pfizer
Global Clinical Supply Data Analytics and Reporting Sr. Associate
Escazú
FULL TIME
December 4, 2024
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Working in an Agile, Product Management Applying data mining, data transformation and data analytics to develop statistical/optimization models.
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Creating meaningful data visualization or outputs files and communicate findings with stakeholders.
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Interpret results and communicate them to technical and non-technical audiences, cross-functional teams, and executive leadership.
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Develop approaches to turn goals into data driven solutions that use advanced analytic tools to drive decisions with velocity.
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Design, build and deploy predictive and prescriptive models using statistical modeling, machine learning, and optimization.
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Demonstrate strong programming skills, particularly in languages commonly used for data analysis and manipulation, such as Python, R, or SQL. Create and maintain custom applications using programming languages within the Digital approved framework to solve business problems.
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Understand requirements from GCS business lines. Data Analytics & Reporting Product Managers, GCS Business Area Leads to develop analytics using tools like Alteryx, Spot Fire and Dataiku – Data Science Studio (DSS).
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Maintains and nurtures the Data Marketplace’s data catalog. Curate, monitor and maintain metrics for data catalog.
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Profile data to identify data quality issues with data flowing into the GCS Data Marketplace and implement measures to improve data quality. Assist with reporting on data quality and data marketplace metrics.
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Data Analysis through proficiency in analyzing and interpreting large datasets, using statistical methods, and drawing meaningful insights from the data.
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Develop analytics workflows with ability to clean, transform, and preprocess raw data to make it suitable for analysis using tools like Alteryx and/or DSS to solve business problems.
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Develop reporting solutions including Spotfire (visualization support, maintenance, and development) and Share Point (support, maintenance, and development) for Data Marketplace related initiatives. Provide enhanced system support for these solutions.
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Knowledge of machine learning algorithms, including supervised and unsupervised learning techniques, and experience in applying them to solve real-world problems.
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Utilize understanding of software engineering principles, version control, and agile development methodologies to build scalable and maintainable data products.
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Solve complex supply chain and logistic challenges using analytic algorithms and AI.
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Design, build and deploy predictive and prescriptive models using statistical modeling, machine learning, and optimization
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Have a strong understanding of system development life cycle, computer system validation and Good Practice (Gx P) requirements.
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Document tasks, issues and resolutions using designated tracking tools, as applicable.
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Interface with Digital staff and vendors.
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Assist with system testing, maintenance and validation of data marketplace.
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Assist with documentation and change management activities for data marketplace.
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Stay updated with the latest advancements in data science, machine learning, and related technologies, and a commitment to continuous learning and self-improvement.
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Bachelor’s degree required, preferably in statistics, computer science, data sciences, supply chain or related field from an accredited four-year college or university or equivalent combination of education and experience.
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2 plus years of proven experience with reporting tools, software, and other applications (like Data Catalog), including but not limited to SQL, Alteryx, Alation, Pipeline Pilot, Spotfire, Tableau.
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Experience with Python, R or similar programming languages
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Considerable exposure to the operation and analysis of relational database software and standards, as well as data retrieval methodologies.
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Change agility and ability to work in ambiguous situations.
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Demonstrated skills in analysis and problem solving.
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Experience and understanding of system validation / software development lifecycle.
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Comfortable preparing and presenting ideas and information in a variety of settings.
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Must have strong inter-personal and customer service skills.
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Comfortable working with a global team, partners, and customers in a change agile environment.
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Expertise in Extract Transform Load (ETL) and Analytics technology like Alteryx.
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Expertise in Business Intelligence technology like Spotfire.
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Knowledge and experience working in a Good Manufacturing Practice (GMP) / Good Clinical Practice (GCP) environment
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Experience with Dataiku Data Science Studio
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Experience with Data Catalog tools like Alation
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Experience with Snowflake and Amazon Web Services (AWS) Big Data Technology (For example: AWS Glue, S3, Redshift, Redshift Spectrum)
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Experience with Database query (SQL), business analysis and technical writing skills a plus
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Skilled in working across multiple systems and processes for issue resolution desired
Work Location Assignment: Hybrid
EEO (Equal Employment Opportunity) & Employment Eligibility
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