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Relevant analytical/programming experiences in the life science industry, including: Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA.
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Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA) As Putnam’s Data Scientist II, you will lead and manage Data Analyst & Data Scientist to solve interesting analytical problems for the clients.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models, and perform regression analyses using languages such as Excel, Stata, R, Python, SQL, or SAS.
$91,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Excellent quantitative modeling, analytical, research, and programming skills (e.g., R, Python, SAS, MATLAB, SQL, VBA, and other programming languages). Assess the integrity of data inputs.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake). The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Conduct data pull, data prep and data analysis work in software using SQL and Python (Pandas) or R programming languages. Requires a Master's degree (or foreign equivalent) in Econometrics, Finance, Statistics, Data Science, Business Analytics, or a directly related field plus two (2) years of experience as a Data Analyst, Data Scientist, or in a related occupation.
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You will also leverage analytical tools, such as Dataiku, Tableau, Amazon Redshift, R, Python, SAS, and/or Databricks. Knowledge of coding techniques in SAS, R, or Python, as well as advanced Excel skills and Tableau visualization.
$170,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Emergency Assistance Data Analyst I (EADA I) applies various research methods to mine, collect, examine, validate, and organize data and derive insights and present information from data analysis, primarily supporting state funded homelessness services including the Emergency Assistance (EA) family shelter program, which is administered by EOHLC Division of House Stabilization (DHS.
$112,455.2 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, ACL, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview, Einstein Analytics.
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Deep understanding of data mining, machine learning, data modeling and ONA Experience with visualization tools and statistical packages (SAS, R, Tableau, PowerBI) and SQL. Solid understanding of HR processes and practices - Proficiency in statistical analysis software and data visualization tools, such as R, Python, or Tableau, working with Workday and other HR systems data.
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Current PhD - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Software Experience: Knowledge of SQL, SAS, R, Python, Tableau, GCP, and/or other programming/data query/reporting knowledge, also, intermediate to advanced skills in Microsoft Excel is required.
$156,000Full-timeExpandApply NowActive JobUpdated 17 days ago
data sas sql jobs Title: data analyst in Waltham, MA
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