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Data visualization tools such as Power BI or Qlik Sense. + Coding experience in Python, SQL, and R. + Experience working with Power Apps. Data visualization tools such as Power BI or Qlik Sense.
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You are very skilled at using one or more BI tools (e.g. Tableau, Sigma, Looker), cloud data warehouses (e.g. Snowflake, Redshift, Big Query), data transformation frameworks (e.g. dbt), and data science tools (e.g. Python/Jupyter, Julia, R.
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Certifications in Tableau, Power BI, RStudio, Azure Data Engineering and Databricks ML. Experience working with Python, R, SQL, and Spark for Big Data Analytics. Proven expertise with Tableau, Power BI, RStudio and Databricks MLflow.
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Collaborate with organization stakeholders and business unit users to analyze data sets to spot trends and patterns that can be translated into actionable insights and modelling and integrating visualization into Power BI by querying data from various sources like SQL servers, Oracle, Azure SQL, Excel, PDF, etc.
$65.38 - $72.38 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with data visualization tools (Looker, Tableau, Power BI, etc. Successful Marketing Analytics leaders at Verkada are fluent in SQL and Python, understand the principles of effective data visualization, and know how to contextualize their work within the business in order to drive growth.
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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Familiar with SQL, Python, R, JavaScript/HTML, PowerShell, etc. 2 Years of experience with Data Analysis and Reporting tools (Microsoft SSMS, Power BI, Oracle, Azure, AWS, etc.
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Hands-on experience with Tableau, Power-BI, R, Python and/or SQL, is preferred. Hands-on experience with Tableau, Power-BI, R, Python and/or SQL, is preferred. This role will suit a self-starter who enjoys working in an open, collaborative environment with a diverse team of actuarial and underwriting experts.
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Analytic and modeling skills and familiar with analytic tools, e.g. Python, SQL, Power BI. analytic and modeling skills and familiar with analytic tools, e.g. Python, SQL, Power BI.
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Strong SQL, python and Power BI for data analysis needed. SNI has partnered with a rapidly growing company to find them a Senior Financial Analyst. Strong SQL, python and Power BI for data analysis needed.
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Leverage experience with data analytics software / languages (SQL, Python, Alteryx, Tableau, Power BI, etc.) Robust experience with data analytics software, languages, and reporting platforms (SQL, Python, Power BI, Tableu, Alteryx etc.
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Preferred: The required certifications above as well as additional relevant Cogito certifications or proficiencies such as Clinical/Patient Access/Revenue Cycle Data Models, SlicerDicer Custom Build Badge, Radar SQL Metrics Badge, Cogito SQL Badge, Caboodle-Clarity Development, Cogito Tools Administration, and/or other relevant Epic application certification(s) Microsoft SQL certification, Python certification and/or BI/analytics tool certification (Power BI, SAS, etc) a plus.
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Training or experience in some or all of data/coding languages/tools like SQL, Python, SAS, Tableau, Power BI or others. Training or experience in some or all of data/coding languages/tools like SQL, Python, SAS, Tableau, Power BI or others.
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Training and/or experience in some or all of data/coding languages/tools like SQL, Python, SAS, Tableau, Power BI or others. Training and/or experience in some or all of data/coding languages/tools like SQL, Python, SAS, Tableau, Power BI or others.
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Business Intelligence Analyst( Power BI, T-SQL and Project Management) Experience preferred with analytics tools/capabilities including SQL, SQL DB, Snowflake, PowerBI, Data Structure Algorithms and use of Python, R, and DAX language.
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