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BI tools (Power BI, Qlik Sense) and IDEs like Jupyter, with experience in leveraging available packages and libraries to accelerate time to market. Demonstrated proficiency in Python, R, SQL, Relational databases (Teradata, Oracle etc.
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Hands-on experience with BI tools such as ELK, Looker, Tableau, Power BI, or QlikView. Strong proficiency in SQL, Python, R, or other programming languages for data manipulation and analysis.
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2+ years of defining DAX measures and modeling in Power BI. Experience with Python/VBA is a plus. Qualifications: 5+ years of experience with SQL, SSIS, SSRS. 5+ years of professional experience with forecasting and prediction modeling using data visualization tools.
$100,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Database management and analytics (SQL Server, PostgreSQL, Power BI) Customization, automation, and extract, transform, load (ETL); Arcade, Python, FME, ModelBuilder, ArcGIS API.
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Know ledge of Test & Control procedures (A/B Testing), background in computer/statistical programming languages , ( SQL, R, Python ), Power BI, MS Office - ( Excel, Word, PowerPoint, & Outlook.
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What we're looking for 3+ Years of experience (preferably 5+) Experience with Looker, Tableau or Power-BI Experience with SQL and Python scripting Experience with BigQuery, Data warehouse / Datalake a plus Foremost global leader in retail loss prevention, operations management, and analytics, with our headquarters based in Foothill Ranch, California.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deliver ad hoc business data analyses using Python, R, and SQL, creating dashboards/reports/insights in multiple visualization tools like Tableau and Power BI. Advanced expertise using data analytic software such as R, Python, SQL.
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Experience querying databases and using statistical computer languages: SAS, Python, R, SQL, etc. Experience with Python, SQL, R, SAS or another programming language with focus on data analysis.
$76,535 - $102,446 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficiency with data analysis tools (e.g., Python, SQL, Power BI, Snowflake, Looker) and data visualization techniques. Proficiency with data analysis tools (e.g., Python, SQL, Power BI, Snowflake, Looker) and data visualization techniques.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The BI Analyst will be responsible to develop, implement, and support with IT structure data to solve tangible business problems by creating ETL pipeline using Python or tools like, SQL Query, SSIS and DAX programming languages, creating Datamart and Data warehousing, perform data visualization using BI packages (Power BI, Power Automate, Power Apps, Dataflows) and applying statistical analysis tools like Minitab.
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Experience with the ArcGIS Utility Network or possess Esri's ArcGIS Utility Network Specialty technical certification. We collaborate closely with our colleagues and clients to meet the challenges they face within the water resources and related industries, including energy, transportation, risk assessment, environmental management, sustainability, and resiliency.
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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.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with data visualization tools such as Microsoft Power BI or similar tools. Familiarity with scripting languages (Python, R), Business Intelligence and database development skills using SQL, Visual Basics, Python, or related programming languages.
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Should be able to create ETL pipelines in SQL, Python or tools like, SSIS, Azure data factory. 4+ years of Power BI experience with creating and publishing reports, DAX queries, M-code, Data Flows, Power App, and Power Automate.
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