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Job DescriptionManaging Delivery Architect - Adobe Multi-Solution Architect -DescriptionJob description:Key Words: Adobe, Adobe Marketing Cloud, Adobe Experience Cloud, Adobe Target, AEP, RTCDP, Adobe Journey Optimizer, Adobe Analytics, Adobe Launch, Customer Journey Analytics, Digital Marketing / Content Management solutions (CXM / CMS / WCM), Omni-channel eCommerce, Customer Data Platforms (CDP.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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The company is uniquely positioned to deliver consumer connections and brand visibility for institutions through data-based, customized brand protection, brand management, and brand marketing solutions that include impactful licensed merchandise systems and strategies and innovative marketing platforms to navigate the ever-evolving consumer and retail marketplace.
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Employ a data-driven approach to optimize marketing channel mix, develop new customer acquisition channels, collaborating with the analytics team to develop actionable reporting. Strong analytical skills with experience in Adobe or Google Analytics, and familiarity with data warehousing services like BigQuery or Snowflake.
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3 years of experience in at least one of the following regulatory requirements and/or compliance issues affecting clients related to privacy and data protection: PCI DSS, GLBA, Basel II, EU Data Protection Directive, International Cross Border and United States’ State Data Privacy Laws. Must have 3 years of technical architecture experience integrating data protection software into clients' infrastructure and applications.
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The Data Architect will work closely with the Program Manager, Cloud Solutions Architect, data engineers, and data analysts to support multiple public health project teams in their full data management cycle including data ingestion, data cleansing, data transformation, data security, data exploration, and data visualization using Microsoft Azure tools and technologies.
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Tracking and Reporting Create and analyze monthly client reports and provide competitive insights Pull relevant program data from popular analytics platforms such as Google Analytics, Looker/Google Data Studio, etc Qualifications: Minimum of 2+ years of experience in SEO with a proven track record required Excellent keyword research skills required Excellent writing, editing, and proofreading skills.
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This includes greenhouse gas inventory data, product related data, ESR-related policies, and data alignment with reporting initiatives such as the annual ESR report, Climate Disclosure Project, United Nations Global Compact reporting, and Global Reporting Initiative.
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You will get to collaborate with experts in marketing, programming, research, data, analytics, podcasting, music, and artist relations as you build new approaches to driving impact. Strong analytical skills with a strong foundation of data and communicating the benefits of marketing opportunities to brands.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Perform sophisticated card fraud analyses and strategy support using advanced analytics & data science tools to provide actionable insights and real-time changes to card fraud detection tools that improve business outcomes and minimize fraud risk.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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marketing data jobs Title: data science in Atlanta, IN, Arkansas
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