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Knowledge of R, Python, SQL, SPSS, or other programming languages. Knowledge of R, Python, SQL, SPSS, or other programming languages. Assessing energy efficiency and renewable energy technologies and trends.
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Programming and scripting languages including: Python, Pytorch, Scala, R, SQL and etc. Hand-on experience with mix of OBIEE/Oracle Analytics Cloud/Oracle Analytics Server, Data Warehouse, SQL, Oracle AI/ML, Oracle Data Science and Oracle Data Integrator including design, implementation and migrations (ideally with Oracle ADW.
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Extensive experience leading and performing complex data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics.
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Strong Programming skills e.g. R, Python, SAS, SQL or other languages. Python and PySpark serve as our primary programming languages, in addition to SQL for extracting data from Hadoop and other databases.
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Knowledge of Business Analytics software (SAS/R/Python) and/or SQL, a plus. Degree concentration in Accounting, Business, Economics, Finance, Health Administration, Homeland Security, Management/Information Systems, Political Science, Public Administration, or Public Policy is preferred.
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Proficiency in Python, R, SQL, and data visualization tools like Power BI, with the ability to code complex SQL queries and create insightful dashboards. Proficiency in Python, R, SQL, and data visualization tools like Power BI, with the ability to code complex SQL queries and create insightful dashboards.
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Advanced knowledge of SAS, SQL, R, Python, or other database programming languages. Conducts data research projects end-to-end by integrating, aggregating, or reassembling information from a variety of database sources and systems by writing database queries in SAS, SQL, R or other database query languages.
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Proficiency in R, SQL, Python, AWS, Databricks, and Microsoft Office. Proficiency in R, SQL, Python, AWS, Databricks, and Microsoft Office. Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave.
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Coding experience in Python, SQL, and R. Data visualization tools such as Power BI or Qlik Sense. Machine learning or deep learning algorithms, natural language processing techniques.
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Proficiency in data analysis tools and languages such as SQL, Python, R, and experience with data visualization tools (e.g., Tableau, Power BI). Proficiency in data analysis tools and languages such as SQL, Python, R, and experience with data visualization tools (e.g., Tableau, Power BI.
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Apply statistical, machine learning, and NLP techniques to identify patterns, extract meaningful insights, or develop new tools or solution for the business stakeholders. As a member of the COE Analytics Modeling Analysis team, you will generate business insights for Client Success Office to help Accenture to improve its processes, boost sales and maximize profitability.
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Expertise in data and analytics technologies, tools, and platforms, such as SQL, Python, R, Spark, AWS, Azure, Tableau, Power BI, Swowflake, DBT, Prefect, AWS Glue, etc. Expertise in data and analytics technologies, tools, and platforms, such as SQL, Python, R, Spark, AWS, Azure, Tableau, Power BI, Swowflake, DBT, Prefect, AWS Glue, etc.
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Proficiency in tools such as Python, R, SQL, and data analysis and visualization platforms. This leader will sit on the CMO's senior leadership team and partner with key leaders across the GMI organization, such as Communications, Brand & Marketing Excellence, Product Development and Innovation, Demand Generation, and Philanthropy, to drive outcomes.
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Proficiency in programming languages R/Python/SQL. If you have an interest in actuarial and data science and are looking to dive into insurance product pricing, statistics, and predictive modeling, ProAg has an exciting opportunity for an Actuarial Analyst Assistant in our Maple Grove, MN office.
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Experience with additional data analysis tools is a plus, including but not limited to Access, Power BI/Tableau, GIS, SQL, Python, R, etc. Experience with additional data analysis tools is a plus, including but not limited to Access, Power BI/Tableau, GIS, SQL, Python, R, etc.
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