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6+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering. Bachelor’s degree or equivalent education and 3+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering.
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Hands-on experience with On-prem & cloud data platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, Databricks, AWS Aurora, Oracle Exadata, SQL server, Hadoop, Spark, SAS and R.
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4+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results if candidate lacks a graduate degree. Master’s in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
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Module Expertise: Demonstrate proficiency in multiple Workday modules including Core HCM, Compensation, Benefits, Payroll, and Time Tracking, with an advanced proficiency on Talent Management and Recruiting functionalities.
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Maintain and build on our data warehouse and analytics environment utilizing Python, Snowflake, and AWS. The Senior Data Engineering position will focus on providing expertise with the development, transformation, and management of data and analytical reporting platforms.
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Coordinate with other Front Line Units and Control Functions (FLU/CFs) Data Strategy and Management teams to streamline the Data Sourcing Strategy for Risk Organization. + Evaluate and Recommend tools and frameworks for various data management capabilities (i.e., Metadata, Lineage, Data Quality, Data Protection.
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As a member of the BDOADVANTAGE Data Management team, the Experienced Manager will play a key role in driving the quality of our Assurance data used by many stakeholders for critical business analysis and decision-making and as a foundational element for predictive analytics and artificial intelligence.
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Enhancement of front office system and ad hoc analytics capabilities, including research and analysis in order to adequately measure residual market risks in FX, commodity, interest rate derivative, mortgage-backed security and fixed income portfolios.
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Experience with integrating application security tools into Enterprise vulnerability management systems (e.g., ServiceNow) Thoroughly understand secure application design principals, including the areas of authentication, authorization/least privilege, logging, encryption, data masking, data retention, and secure data transmission.
$80 - $85 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer’s data processor SonicJobs. Procedures/treatments frequently performed include diabetes management, pain management, wound care, telemetry, oxygen therapy, blood product administration, and IV management of fluids and medications.
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Proven knowledge in one or more of the contact center sub domains such as: IVR/IVA, NLU/NLP, Routing, Recording and Analytics including Transcription, Outbound, Work force Management or Optimization, Historical Reporting & Analytics, Real Time Omni channel Agent experience and customer journey, CX/AX experience optimization using AI/ML (Artificial intelligence /machine learning.
$84,000 - $189,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Project Manager will be a PM with in a Healthcare analytics department and be responsible for analyzing healthcare data related projects to our networks, claims, utilization, precertification, member engagement, cost management and activities supporting the development and implementation of corporate strategies.
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Implement best practices for data management, security, and governance within the Databricks environment. Experience with Cloud based data architectures, messaging, and analytics.
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Build to design and develop technical/functional specifications with Kinaxis RapidResponse, and SAP Planning applications – working on different modules like Supply Planning/MRP, Forecasting and Demand Planning, ATP, Aggregate Supply Planning, Capacity Planning, Attribute Based Planning, Sales & Operations Planning with required interfaces and data management/data migration with source and target applications.
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Familiarity with Big Data technology in-cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake.
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