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Your skillset should encompass strong proactive and reactive communications, media relations experience, proficiency in data analysis and insights, as well as expertise in social media, experiential marketing, influencer engagement, and managing consumer, corporate, and lifestyle brands.
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Experience in building data pipelines on AWS/Azure and/or Databricks. 5+ years in developing and optimizing Big Data applications using Java/Scala and Spark on Cloudera/HDP. The primary focus of this role is to provide re-engineering expertise, covering design, implementation and support of the RM applications, namely Aggregation of Market Risk and Market Data Shocks and Scenarios generation.
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Technical skills required include proficiency in SQL, Python, data analysis techniques, database tools, data exploration methods, data visualization, and generating actionable insights.
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Experience in Historical Data Migration, Bulk Data Migration, Technical Documentation, Creating ERD Diagrams, and Data Engineering via ADF Databricks. - Azure Data Engineer Associate (Microsoft Certified), Certified Data Management Professional (CDMP) or Certified Data Modeler (CDM), or Azure Data Fundamentals certification preferred.
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Perform rigorous analyses on large, complex data sets and provide strategic insights, hypotheses, and conclusions based upon findings. Experience with data visualization software (Qlik, Tableau, Spotfire, etc.
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Complete data-driven analysis to assist in major decision-making including financings, rezoning, design development, construction tendering and lease-up strategy. Complete data-driven analysis to assist in major decision-making including financings, rezoning, design development, construction tendering and lease-up strategy.
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The Data Scientist will play a crucial role in turning complex data into actionable insights that drive business decisions and innovation. Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn.
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Typically, with a development and/or data engineering background. KX technology is designed to capture and analyze data to make real-time decisions in a world where data volumes generated by markets and machines are increasing exponentially, and existing technologies fail due to technological or commercial limitations.
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Lead and contribute to support projects, offering insights and recommendations for improving data quality and system functionality. Advanced to expert knowledge of system analysis, business processes, and data quality assessment.
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Experience in gathering data from primary or secondary data sources to identify and interpret trends & resolve data quality problems and collaborate with stakeholders for remediation.
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RESPONSIBILITIESThe Clinical Trials Specialist (CTS) participates in the development, coordination, data and project management of clinical trials from protocol development/review, approval through to activation, follow-up and trial closure.
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Knowledge of data transformation techniques, such as mapping and normalization, and experience using them in the context of IBM App Connect Enterprise (ACE) or IBM Integration Bus ( IIB ) or IBM message broker or Spring Integration or similar product.
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As Brim grows in the US market and expands globally, S/he will also support various initiatives to scale the finance function through data queries / reporting automation and process optimization.
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The programs at Metro College of Technology cover engineering & technology, data science, information technology, digital marketing, and business. Good knowledge and skills in the digital marketing course(s) you like to teach and the data analysis tools- SQL and Python.
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SEO Knowledge: Deep understanding of SEO best practices, search engine algorithms, ranking factors, and the ability to stay up-to-date with industry changes. Collaborate with tech teams to optimize site architecture and speed to improve user experience and search engine crawlability.
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