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Experience with programming language such as Python, R, Perl C. Experience developing in Python and has experience working with a SQL backend. Will develop in Python with SQL backend.
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Experience developing basic tooling and scripting: Java, Python, R, Scala, SQL. Experience with reading and writing data in AWS Databricks. Analyze customer requirements to integrate solutions into Databricks COTS product (i.e., scripting for new data ingesting, algorithm incorporation.
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Designs, validates and evaluates solutions using R, Python, SQL and other programming tools. SQL, Python, and R programming. Should be familiar with NLP field (Classification, Information Retrieval, NER, Clustering, Chatbot Development etc.
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Programming languages e.g. python, R, SQL. RBA also supports the Research & Advisory (R&A) organization by enabling and performing analysis running from client retention analytics, associate performance analytics, budget, and financial analysis (in partnership with the finance organization), and client demand sensing.
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Basic knowledge of relational databases and programming languages such as SQL, R, Python, or SAS in big data environment. Computer Skills: SQL, R, Python, SAS, Microsoft office apps.
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Work Experience/Requirements Requires minimum of 5 years of progressive experience in healthcare IT, analytics, software development or data management Experience with Business intelligence development tools such as tableau and SAS and programming tools such as R, Python, and SQL.EDW internal certification required within 6 monthsBachelor degree required.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Proficient in MS-Excel, data visualization and scripting/programming languages (Python, R, SQL, VBA scripting or other like programming languages is desired) Proficient in MS-Excel, data visualization and scripting/programming languages (Python, R, SQL, VBA scripting or other like programming languages is desired.
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A successful candidate will have strong technical abilities with Alteryx, Tableau, SQL or R or Python, and Excel. Understanding of Activity Based data from systems such as Veeva CRM, Pharmaceutical Prescription (Rx) data and Specialty Pharmacy data to help support analytic teams Understanding of Tableau to assist in creating Dashboards for cross-functional teams Ability to use SQL, Python, etc.
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Experience using statistical computer languages (R, Python, SQL) to manipulate data and draw insights from large datasets. Hands-on experience with Databricks, Snowflake and other Cloud platforms.
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You also have a good understanding with statistical and computer software, or other analytical tools such as SAS, R, SQL, Python, Microsoft Word/Excel/Power Point, knowledge in UNIX or PC environment for modeling.
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Mine and extract portfolio data using SQL and Azure ‘big data’ technologies, R/Python, and visualization tools like Excel and Tableau/Power BI (or similar tools) Highly proficient at Excel, and either SQL, SAS, python, or visualization tools like Tableau/PowerBI (or similar tools) for data analysis.
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Familiarity with programming for data analysis; ideally Python, SQL, or R. Knowledge of any relational database such as My SQL. Ideal candidate should have a degree in a quantitative field (e.g., mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.
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Experienced with computer languages (R, Python, SQL, etc.) Moderna utilizes a digital infrastructure for both GMP and non-GMP operations including MES electronic batch records, Delta V for process control, OSI PI as a process historian, SAP for materials control, and LIMS for analytical data, as well as internal applications and manual data sources.
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Proficiency in statistical analysis tools and programming languages such as Python, R, or SQL. Must code in SQL and Python. Help design, launch, and analyze omni-channel communication (email, SMS, DM, push notifications, contact center) experiments and support scaling them into mature campaigns.
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