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Top Data & Analytics Jobs in New York City, NY
Information Technology • Consulting
As a Data Integration Specialist, you will collaborate with clients to onboard their data, analyze and improve data architectures, validate data processes, and provide input for Enterra's solutions. You will also handle data wrangling and specify requirements for data transformations to enhance client deliverables.
Top Skills:
DatabricksJupyterMS OfficePythonRRelational DatabasesSnowflake
Fintech
As a Data Engineer at Treasury Prime, you will design, build, and maintain data pipelines and ETL processes to support data flow and analytics. Collaborating with cross-functional teams, you will ensure data integrity, quality, and accessibility, while optimizing workflows for performance and scalability.
Real Estate • Software
The Head of Data will lead HappyCo's data strategy, aligning it with company goals and overseeing data architecture, warehousing, analytics, and reporting. This role requires collaboration across departments to build scalable infrastructure, implement best practices for data governance and ETL/ELT pipelines, and provide mentorship to the data team, driving a culture of growth and innovation.
Top Skills:
AIAnalyticsBashCloud ServicesData ArchitectureData StrategyData WarehousingDatabricksEltETLGoogle Cloud PlatformLookerLookmlMachine LearningPostgresPythonReporting
Featured Jobs
Healthtech
The Data Cataloging Specialist will centralize data assets across Inovalon, ensuring alignment with industry standards and regulatory requirements. Responsibilities include defining metadata standards, maintaining a data catalog, collaborating with teams for data analysis, and improving data management workflows.
Software • Transportation • Analytics
The Senior Cloud Engineer at GridMatrix will work on developing and managing data pipelines, optimizing cloud infrastructure, implementing secure storage solutions, and collaborating with cross-functional teams to ensure high performance and cost efficiency. The role requires hands-on experience with AWS and real-time machine learning solutions.
Top Skills:
AWSCassandraCloud StorageDockerKubernetesMySQLPostgresReal-Time Machine Learning
Biotech
The Associate Director of Statistical Programming leads programming activities for clinical trials, ensuring compliance with CDISC standards, and oversees programming deliverables. Responsibilities include collaborating with statistical and clinical teams, managing CROs, mentoring staff, and developing advanced programming solutions for data analysis.
Top Skills:
CdiscDefine.XmlEctdRSASSpotfire
Cloud • Information Technology • Natural Language Processing • Analytics • Consulting • App development • Generative AI
The role involves managing resources for customer projects, hiring and training staff, overseeing project scopes and costs, mentoring team members, and developing innovative data solutions. Responsibilities also include creating sales and marketing assets and improving internal tools.
Insurance • Financial Services
The Director of Predictive Modeling will lead a team to develop predictive models for personal insurance lines, manage key modeling projects, provide strategic insights, and collaborate across teams to enhance pricing and risk assessment. This role emphasizes leadership and technical expertise in statistical modeling.
Top Skills:
Data AnalysisGlmsPredictive Modeling MethodsPythonRegression AnalysisStatistical Modeling
Energy
The job involves analyzing metallic and reinforced concrete structures for SMR-300 plants, utilizing various engineering methods and software. Responsibilities include performing static and dynamic analyses, developing designs based on requirements, preparing design deliverables, and ensuring documentation meets engineering and licensing standards.
Top Skills:
AciAiscAnsysAsceAsmeEtabsLs-DynaSap2000Staad.Pro
Artificial Intelligence • Information Technology • Machine Learning • Marketing Tech • Sales • Software • Database
The Principal Data Engineer will design, develop, and maintain ETL pipelines, ensuring efficient data acquisition and transformation. Responsibilities include optimizing ETL processes, collaborating with teams for data integration, managing data governance, and exploring new technologies for improved data processing.
Top Skills:
Aws GlueETLPythonSparkSQL
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