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Optimize data storage health and maintenance using MATLAB, R, Python, SAS, SPSS, etc. ● Bachelor's degree in biomedical engineering, psychology, statistics, or health-sciences related field and a minimum of two or more years of data analyst and data coordinator or equivalent experience.
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Quantitative programming skill (e.g. Python, R, SAS/SQL, Stata, etc) Professional certifications such as CFA, FRM, and Programing (Python, SAS) certified preferred. Some job boards have started using jobseeker-reported data to estimate salary ranges for roles.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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Collaborate with other peer organizations (e.g., Business Analyst, Data Modeler, QA, technical support, etc.) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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We are seeking a highly motivated and strategic Senior Financial Analyst to join our R&D Strategic Finance Team. This role offers the unique opportunity to play a critical dual role, serving as a financial planning and analysis (FP&A) partner to R&D leadership and a strategic business operations partner to the entire R&D organization.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Extracts data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms.
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Experience in the design and implementation of the different data processes like profiling, exploration, collection, processing, cleaning, and preparation of data, ETL, ELT, ETLT data processes and data pipelines with Python, SQL, Non-SQ, MS Power BI Services and Power Query.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne’s clinical studies.
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Nifi, Python, Kafka, Databricks, Informatica or any other integration technologies. Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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Knowledge of Power BI, SQL, Python, R, DAX, Databricks, Power BI Paginated Report Builder, and DevOps. Experience in U.S. electricity markets, wind farm operations, production-based availability, performance loss calculations, and high frequency timeseries data.
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The ideal applicant should have a strong programming background (e.g., Python, R, SQL, SAS, and/or STATA) and the drive and enthusiasm to learn about clinical care by assisting in state-of-the-art patient-centered research.
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The Payment Model Implementation Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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Exposure to data science best practices including reproducibility tools (git, conda environments, docker, virtual machines), dashboard visualization (Tableau, R Shiny, D3), analysis narrative tools (jupyter, R Notebook), and graphing tools.
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analyst remote data r python jobs Company: Abs Group in Brookline, MA
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