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Experience with big data technologies (e.g., Databricks, Snowflake) and data visualization tools (e.g., Qlik Sense, D3. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets.
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Hands-on with Google Cloud services for data engineering- Dataflow, Data Proc, Big Query, Composer, Pubsub. Experience with Airflow/Composer or Tidal to orchestrate the data pipelines.
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Understanding of industry standards like Pershing, FINRA/SEC, LIMRA, DTCC/NSCC, Morningstar, SMA/UMA, and Advisory Platform will be considered big plus. Understanding of cloud technologies to design modern data analytics platform to support Data Visualization, Traditional Reporting, Advanced Analytics and Operational Data Stores Strong understanding of DevSecOps concepts with automaton Expert level knowledge of existing, new, and emerging technologies and being able to apply them to new business designs and business models.
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Experience with disciplines such as: predictive modeling techniques (ex: random forests), scripting languages (ex: python), coding best practices (ex: version control), SQL (ex: Oracle, PL/SQL), and big data environments (ex: AWS, GCP, Azure, Hadoop.
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Understanding of financial services industry domains - Retirement, Workplace Solutions, Group Benefits, Wealth Management will be big plus for this role. Understanding of cloud technologies to design modern data analytics platform to support Data Visualization, Traditional Reporting, Advanced Analytics and Operational Data Stores.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Ability to find ways to use available data sources to answer questions and solve problems. The VP in Catastrophe Risk Management is a senior analytic leadership role that encompasses broad strategic vision development, strategy execution, operational, and talent responsibilities for the enterprise Catastrophe Risk Management department.
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We are looking for a senior data scientist with experience building production ready machine learning models for enterprise scale to help lead transformative change within a F200 company.
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This individual will participate in the design, development, documentation, and quality control process for SAS programs used to access, extract, transform, review, analyze, and submit clinical data and analysis results for Abiomed studies.
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As a Senior Associate Data Engineer you will help guide growth and transformation of our analytics landscape. Knowledge of data concepts (Data Warehouse, Data Lake, Data Model, DB Design, Data Mapping)Experience with:ETL tools, primarily Talend or similar (Ab Initio, Informatica)SQL (medium to complex queries)Database (SQL Server, Teradata, or similar)Knowledge of:AWS (s3, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.
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Stay updated with the latest developments in data science, catastrophe modeling, and risk management to continuously improve our analytical capabilities. The Travelers Catastrophe Risk Management Group is seeking a Data Scientist or technically minded Actuary to join our Actuarial and Analytics Team. You will be joining a group of dedicated professionals charged with leading Travelers to be in position to successfully endure catastrophic loss from natural and human-made perils.
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5+ years' experience working with statistical analysis, object-oriented programming, data mining / model building, business intelligence, visualization methodologies and tools such as R, Python, SAS, Looker, Tableau, Hue and TOAD Experience and working knowledge of data and analytics in a healthcare data management environment.
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Summary: This is a Data Quality Analyst role for the Enterprise Data Strategy team, focused on the PROVIDER data domain. The Data Quality Analyst - Provider Data Domain is a downstream data role that requires a candidate with strong data management background who understands data, how to ingest data, proper use/consumption, data quality, and stewardship.
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Data Quality Analyst. In this role you will partner with the Provider Domain Product Owner to perform data quality measurements and analyses to assess patterns, identify root cause, define data quality rules, champion automated measurement and partner with stakeholders to identify data improvement opportunities.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Passionate about security and data protection.
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big data jobs Title: senior developer in Hartford, CT
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