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The Drilling Analyst must be an expert in data visualization libraries, SSRS, embedded UI solutions, Power BI reporting, and SQL development being self-sufficient in writing queries to support visualizations.
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Microsoft Power BI, spotfire, or other reporting solutions. Experience in any big data technologies - Hadoop, EMR, Amazon Redshift, Azure CosmosDB, Azure Data Lake, AWS DynamoDB, or advanced analytics tools.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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7+ years of relevant work experience in IT/Data & Analytics in Reporting, Data Visualization or Business Intelligence positions. Experience with data visualization libraries (D3, HighCharts) and frameworks utilizing them.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with data analytics tools: Power BI, Tableau, etc. Skilled in development languages for data automation: Python, PHP, JavaScript, etc. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.
$110,100 - $180,900 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Make use of data narration principles to create very clear as well as impactful data visuals images making use of Power BI. Adventure with SSMS (SQL Web Server Management Center), Power BI as well as Power Inquiry.
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Proficiency in reservoir related and mapping softwares (e.g. Kingdom, Starsteer, ARC GIS, etc)Experience with Python, SQL, Spotfire, Power BI, Snowflake, Enverus and/or other business insights and data warehousing applications.
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Experience with Python, SQL, Spotfire, Power BI, Snowflake, Enverus and/or other business insights and data warehousing applications. Integrate well log, seismic, core data, petrophysical analysis and other relevant information to develop accurate geological reservoir models.
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Data visualization with tools such as Tableau and Power BI; and. Understanding and analyzing data using statistical software including Python, SAS, R, Stata or similar; Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights and other business outcomes.
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The Technical Sales Specialist (TSS) is responsible for supporting sales initiatives by identifying new install capacity, providing onsite installation training and reinforcement, and collecting ground level market data for James Hardie Building Products in their defined territory.
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Well-versed in advanced statistical analysis techniques and experience leveraging BI tools to build self-service dashboards (e.g. Tableau, Power BI, Looker). Experience leading both BI and Data Science functions.
$150,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data analytics skills in SQL, Python, Power BI, Tableau, or Snowflake preferred. Additional analytics skills in SQL, Python, Power BI, Tableau, or Snowflake also preferred.
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Experience using a data visualization tool like Power BI or Tableau is a plus. Advanced experience with enterprise source systems and of systems that consume master and reference data, including CRM, MDM, ERP, and Data Warehouse/Business Intelligence (i.e., Salesforce, Workday, Talend, Snowflake, etc.
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G., Power BI, SQL, Python) Requirements- B.S. Or above in engineering or a related scientific discipline from an accredited college or university- 10+ years of air quality consulting and 4+ years of project management experience- Understanding of engineering concepts related to chemical processes and emissions control technologies- Ability to perform fieldwork and occasional travel (less than 10.
$100,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Identify/develop, and deploy reports in Power BI & integrate Power BI Reports and dashboards into PowerApps. Advanced knowledge of Microsoft Power Apps, Power Automate, Power BI, Dataverse, Transact-SQL, and database design.
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Experience with data visualization tools such as Power BI and Tableau. Experience with cloud based data services offered by Azure, AWS and Google. 2+ years data warehouse, dimensional modeling design and architecture.
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