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Specific experience with SAP and data analysis tools such as Alteryx, Tableau, and RPA development is preferred. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 11,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.
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Deep understanding of data lifecycle management (operational databases, warehouses, integration and governance, pipelining, analytics enablement, and reporting) 3+ years of experience using BI tools (e.g., Tableau, Tableau Prep, ThoughtSpot, Alteryx.
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Perform integration and post processing of collected data into visualization tools: internal tools (database, hive tables), commercial tools such as Tableau as well as open source / external tools eg., grafana, influxdb.
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Use SQL, Tableau/Power BI and/or internal/external systems and databases to analyze data and/or produce reports that serve to further educate and inform our business into improving data integrity and data quality.
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Expertise in data and analytics technologies, tools, and platforms, such as SQL, Python, R, Spark, AWS, Azure, Tableau, Power BI, Swowflake, DBT, Prefect, AWS Glue, etc. Furthermore, the Senior Director will create and lead a data engineering and ingestion center of excellence, providing guidance, best practices, and support for the data acquisition, transformation, and integration processes across Lennar.
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Strong working knowledge of data warehouse storage, ETL and reporting technologies such as SQL, SAS, Snowflake, Tableau, Power BI, SAP Business Objects and AWS Glue. Develops data integration processes and procedures for transforming, extracting, and loading data between the data warehouse and internal OLTP database systems.
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Experience with at least one Data Integration tool on the level of Dell Boomi, DataStage, or Informatica. OBIEE, OAC, Tableau, R, Python or other reporting, visualization, and analytics tool experience.
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The Data Architect will be responsible for setting standards around data modeling, data integration and data engineering best practices and data security design.
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With a strong emphasis on governance, data quality, data integration, and promoting GIS services across the organization. This position will utilize visualization tools such as PowerBI and Tableau.
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Standardization processes for extracting/blending data from data warehouse into visualization and analytics software like Tableau, PowerBI, Python, R, etc. Maintain a repository for information and processes related to data warehouse implementation, processes, integration/blending, and ETL (extraction-translation-loading.
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Design integration with front-end tools (Tableau, custom apps) and back-end applications and data (e.g. SAP). They are involved in all phases of the analytic projects, from requirements gathering, data architecture, integration guidance and developing support artifacts.
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Experience with Microsoft Business Intelligence tools such as MS SQL Server, MS SQL databases, SSRS, SSIS, SSAS, Power BI, as well as other BI tools such as Tableau, Qlik, etc. Experience creating and maintaining reports and dashboards in PowerBI (highly preferred) or other tools such as Tableau, Qlik, etc.
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Advanced SQL and data integration skills using SSIS and other equivalent tools. Experience with Cognos and Tableau and their respective consumption of data is preferred. Use of other data modeling tools will be considered with the core skill set: Python (descriptive / predictive models), and Tableau Viz.
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Owning the tech stack for Salesforce, including integration with complementary enablement software tools, such as Salesforce CPQ, Groove, and Pardot, and external systems, such as our ERP (Microsoft Dynamics), Jira, Snowflake, and PowerBI.
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Applying your expertise in ETL technologies, such as SSIS, Talend, and Kettle, to design and implement efficient data integration workflows. Utilizing your experience with reporting tools such as Tableau and Power BI to create insightful and visually appealing data visualizations for business intelligence purposes.
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