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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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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 cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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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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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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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.
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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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Experience with SQL, Power BI, data mining, data analysis, Advanced Excel, Virtual Roster, Kronos, Tableau, Teradata, IGT Table Touch, Bravo Poker is required. Leverage SQL, Power BI, Tableau, Teradata, and other tools to analyze and visualize data.
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This role requires a deep understanding of the gaming industry, expertise in financial analysis, and proficiency in various data analysis tools. Use data mining and analysis techniques to provide insights into revenue performance and trends.
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Proficient in analytics and visualization platforms (Funnel.io, Looker Studio, Power BI, Tableau) and experienced with advertising networks (LinkedIn, Meta, programmatic networks) and their APIs. Advanced knowledge of statistical analysis, machine learning algorithms, and predictive modeling techniques.
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Knowledge or experience in designing and deploying data processing systems with technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik, or others.
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Basic experience with any of the major Business Intelligence reporting tools, such as Power BI, BusinessObjects, Hyperion, Cognos, Microstrategy, Tableau, QlikView, or SSRS. There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Degree: Bachelor’s or Master’s degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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Strong experience with report development and reporting/analytical tools (SSRS, SSAS, Power BI or Tableau experience a plus), and relational databases (Oracle, Azure database); understanding of database development, data mining and analysis.
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DE performing Extract Transform Load (ETL) on Cloud native data warehousing solutions using analytical tools (Alteryx) and programming languages (Python); building and maintaining data pipelines utilizing Python, CronTab, Linux server, and Jupyter Notebook; and creating scalable visual analytics dashboards using Tableau and Looker.
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Basic Knowledge of security-related topics such as authentication, entitlements, identity management, data protection, data leakage prevention, validation checking, encryption, hashing, principle of least privilege, software attack methods, and data storage.
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