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The Data Scientist is responsible for analyzing and interpreting large and complex data sets, developing predictive/ machine learning models, NLP techniques and communicating insights to various stakeholders.
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Experience in Power BI development administration or other similar business intelligence software including: SQL and data modeling. This will require working knowledge of SQL, data manipulation (ETL) in Power BI “M”, data model structure / relationships between tables, DAX measures, and report building.
$70,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Practical Skills: Acquire hands-on experience and practical skills in data analysis, data visualization, SQL, Python, and statistical analysis, equipping you to manage real-world data challenges effectively.
Part-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Expert using data analytic tools – proficient in SQL, advanced excel (VLOOKUP, Pivot tables, Graphing functions) Focusing on quality improvement and data management while ensuring data is reliable and valid.
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Write complex SQL queries for data extraction, transformation, and loading (ETL) processes. As an SQL Developer, you will play a crucial role in designing, implementing, and optimizing database solutions, enabling efficient data storage, retrieval, and manipulation.
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Exhibits technical acumen including but not limited to Tableau / Power BI, SQL, Excel, etc. Ability to translates key business questions into actionable insights and executive level data visualization and reporting.
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Expert using data analytic tools - proficient in SQL, advanced excel (VLOOKUP, Pivot tables, Graphing functions)Knowledge of Reporting tools (ex. Power BI) and hands-on experience using dashboards, reports, and data imports and exports for business use.
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Maintain current reporting structure and sales reports in SQL/SSAS and Crystal Reports and work towards converting to a Power BI data model. A Day In The Life Data Management & Reporting Ability to create data driven solutions using SQL Server and various business intelligence tools including Power BI Design and maintain ETL processes by gathering detailed requirements and coordinating the implementation and rollout and support of relevant systems Coordinate monthly point-of-sale (POS) data collection from channel partners including data manipulation and expansion of data collections and management.
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In-depth knowledge and experience with Azure data storage (SQL Server, Data lake, Synapse, etc.) Experience working with APIs, Postman/SOAPUI tools, MS D365, ServiceNow, Azure Analytics tools, Azure Data lake, Azure Synapse, Azure BYOD & Data verse, Informatica, BI tools, etc.
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Familiarity with Microsoft Azure services, particularly Azure Active Directory, Azure SQL Database, and Azure Functions. Strong understanding of data visualization principles, data modeling, and business intelligence concepts.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Expertise in ETL/ELT, SQL, and cloud data integration tools (Azure Data Factory, AWS Glue, Informatica, etc. Proven experience in SQL, data modeling, data warehousing, and data analysis.
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The Database developer is responsible for developing, testing, improving and maintaining new and existing databases to help users retrieve data effectively. Summary : The Database developer designs stable and reliable databases, according to our companys needs.
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Expert knowledge of programming languages (i.e. SAS/SQL/ R, Visual Basic, Python) Provides consultative support, business insight, advice and expertise to guide decision making and/or strategic planning by leveraging and interpreting data and analytical models to provide business specific or broad strategic insight and using a variety of audience-specific communication techniques.
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Strong level of understanding on Azure Data Factory, SQL/Synapse, ADLS, and Azure DevOps. Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics or equivalent on another cloud provider such as AWS or Google Cloud.
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Strong systems experience like SQL, PowerBI, Advanced Excel Skills. Will focus on managing and improving systems, processes and reporting by mentoring finance users, reconciling large excel data sets, and overseeing projects related to financial ops.
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