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Proficiency in programming languages, including Python, Scala, PySpark, and T-SQL, and experience with database technologies PostgreSQL, SQL Server, etc. In-depth understanding of MDM concepts, data modeling, data integration, data quality, and data governance principles.
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NoSQL (JASON, XML, YAML, ETC.), and programming languages for analytics including not limited to R, Python (with a focus on libraries such as NumPy and Pandas), and visualization software Tableau and Microsoft Power BI.
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Experience with modern programming languages (Java, Python, JSON, AWS, SQL, CSS, Scripting, HTML, R, SAS) Advanced experience with Microsoft Excel (VBA preferred; ability with pivot tables, arrays, and nested-formulas), Microsoft PowerPoint, PowerBI and Business Intelligence tools.
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Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar.
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Knowledge in advanced data science techniques (machine learning in Python/R) preferred. (SQL, ETL process, Data Warehouse, Power BI/Tableau, etc.) Serves as a data steward of data from various data sources to ensure data integrity.
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Experience using programming language(s) such as Python, SQL, Scala, Java, JavaScript, C# or C. Exposure to programming languages such as Python, Java, or Scala, with a focus on data processing libraries (e.g., Pandas, PySpark.
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Must-HaveStrong mathematics, statistics, analytical and problem-solving skillsKnowledge or familiarity with the insurance space6+ years of work experience in a Data team, including statistical software (e.g., R, Python) and relational database languages (e.g., SQL - Snowflake preferred.
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Familiarity with data tools and languages (Python, R, SQL, Excel). Familiarity with data tools and languages (Python, R, SQL, Excel). Work with data science, consumer insights, media and web analytics, and BI teams to leverage data resources and champion new analytics solutions.
$95,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Enhance reporting and automation using supported mainframe tools such as JCL, REXX, SAS, SQL, PYTHON and Java/JavaScript Complete assignments by due dates, without detailed supervision Participate in team on-call coverage rotation, which includes tactical systems administration and provide weekend support.
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Possess ability to extract and manipulate data in relational databases, SAS, SQL, R or Python preferred. ACAS or FCAS designation preferred but not required. WHAT WE ARE SEEKING We have assignments available to help our insurance carrier clients in Actuarial Analyst positions.
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Technical Tools: Familiarity with Python, SQL, or Scala. Solution Implementation: Design, implement, and validate advanced solutions using Apache Hive, Spark, Python, or Scala on large-scale computing clusters.
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Experience and understanding with SQL, SAS, Python, Tableau and or reporting tools. Wells Fargo is seeking a Business Execution Senior Manager within Auto Operations that will support the development of new Collections & Loss Mitigation strategies focused on improving Operational effectiveness and efficiency within our Repossession, Bankruptcy, Payments, Loss Recovery, and Loss Mitigation Products groups.
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5+ years of experience with data engineering tools and languages such as Apache Spark, Python, Java.· 5+ years of engineering experience with strong focus on data engineering· 5+ years of Python, SQL, and MLOPS best practices· 5+ years of experience in Azure or GCPPreferred Qualifications· Excellent problem-solving and analytical skills.
$267,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python, SQL, Git, Power BI. Extract, transform and organize the data into datasets using tools like SQL. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Must have programmatic experience of SQL, Python, Apache Spark. Data Engineer (GCP / Google BigQuery / SQL ) Google Cloud Platform, ideally with Google Big Query, Cloud Composer and Cloud Data Fusion, Cloud spanner, Cloud SQL.
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