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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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Experience in data visualization tools (e.g., Qlik, Power BI) Identify best analytical techniques to achieve Business Unit objectives; design, develop, and deploy advanced analytics solutions, including predictive and prescriptive outputs, analytical tools, and visualization capabilities to enable business users to make data-driven decisions.
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Ability to develop utilizing the following technologies:Data Movement (Apache Spark, plus Azure Data Factory and legacy SSIS (SQL Server Integration Services. Azure Storage Technologies (Data Lake, Blob Storage), Azure Machine Learning, Azure Databricks.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience developing and supporting business analytics applications such as Power BI, Excel, MS Access, or other data visualization platforms. Experience using query languages (Cypher, SQL or VQL) to extract, analyze, and test data quality.
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The Senior Business Systems Analyst, BI Visualization is responsible for supporting the community of BI Super users on data visualization techniques in Power BI or SAP Analytics Cloud with the goal of developing the self-service capabilities of that community.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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The candidate must have expert SQL coding skills to ingest, transform and analyze client data delivered to the Epsilon Digital's Data Organization. Our platform is ever evolving, but currently is a combination of SQL, Kafka, Flume, Spark, Scala, Java, Python, NoSQL (HBase, Cassandra and ScyllaDB), MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, Kubernetes, and Elastic.
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Data / Database Skills: Competence with relational database SQL Server including proficiency with Data Definition Languages, Data Mark-Up Languages and ability to design and create database tables, views, functions and stored procedures.
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Technology Requirements (I.E Programs, systems, etc): Azure Data Lake, Synapse, SQL, Power BI, SQL Server, DAX, m code. Capable of writing and debugging SQL to load data into Power BI.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of relevant data visualization software, Python, SQL, and database design. Dashboards and DOMO visualization develop dashboards and visualizations for key business stakeholders and external reporting to OEM Partners.
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3D visualization and manipulation, CAD software feature familiarity, complex system interaction, high critical thinking, analytical & problem solving skills, strong organizational skills, excellent attention to and recollection of fine detail, ability to communicate technical concepts in a positive and professional manner, Office Suite familiarity.
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2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tool, Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation.
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Proficiency in data extraction and analysis tools, such as SQL, Excel, and data visualization software (e.g., Tableau). Utilize data extraction tools and software (e.g., SQL, Excel, Tableau) to retrieve and analyze relevant data sets related financial processes.
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Use Azure Databricks connectors to connect clusters to external data sources outside of your Azure account to ingest data or for storage. Advanced experience and knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance.
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The position requires an individual who is familiar with building complex database queries, business intelligence dashboards, Python/R scripting, the software development lifecycle, project management, data mining and collection procedures, and the ability to effectively communicate with a variety of stakeholders and partners.
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Strong proficiency in data munging using SQL and experience with at least one programming language (e.g., Python, pySpark, Scala, etc.,) Solid experience developing and maintaining data warehouses with Big Data technologies (e.g., Cloudera Hadoop, Snowflake, etc.
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