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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Mature, humble, and genuine, SEI-ers frequently go above and beyond for both their clients and their colleagues. SEI-ers enjoy working with genuine, thoughtful folks who want to steer clear of the traditional grind and share the joy of day-to-day life and activities with colleagues, friends, and family.
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Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains. Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices.
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Strong technology skills with data analysis tools such as SAP, Excel, Access, Alteryx and Tableau. Manage finance planning and performance management processes and related financial decisions potentially including strategic plan and annual contract planning/forecasting, target development, financial performance reporting/analysis, financial modeling and decision support for a manufacturing plant, plant cluster or hub.
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Data Strategy and Governance. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment. Self-aware, almost to a fault, SEI-ers keenly understand how to adjust their support and problem solving based on the situation.
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Following a logical, fact-based approach, SEI-ers possess the superior ability to see correlations others may not, ask the right questions and drive solutions. SEI-ers are ethical and trustworthy individuals who consistently and repeatedly follow through, and hold true to their values in difficult situations.
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To turn data into insights; Using ETL (Extract, Transform and Load), and having experience with Alteryx, Power Query and / or other agile technologies preferred; and, Possessing knowledge of and having exposure to basic programming: Python, SQL, or other languages.
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Prefer 7 years of experience in data analytics cycle (data gathering, transformation, mining, modeling, analytics, and reporting) using data analytics tools like SAS, Alteryx, Tableau, PowerBI, SQL, R, Python and/or ACL.
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BI tools such as Tableau, Cognos and Alteryx. Data analytics and data modeling using Python, SQL and / or R. Leveraging various technologies and data analytics skills to streamline the collection, modeling, calculation, accuracy assessment and reporting for financial data sets (budget, outlook etc.
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Databricks, GitHub, or similar versions for modeling. May design and implement analytic workflows via Alteryx Apps, as needed. Employ theme extraction/identification and driver modeling in support of Staff survey analytics and other listening initiatives.
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Use SQL, Alteryx, Tableau, Advanced excel functionality and other technologies to interpret large quantities of data and provide a meaningful analysis. Experience using Alteryx (building workflows from multiple data sources.
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Identify data governance gaps and assess data governance maturity in a complex data environment. Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals.
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SEI-ers have an insatiable curiosity and love to learn. SEI-ers define ambition differently. Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node. JS and SQL.
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