Top Hybrid Data & Analytics Jobs in New York City, NY
As a Senior Data Engineer at Grubhub, you will design and maintain data pipelines, collaborate with Ads teams, optimize data storage using columnar formats, leverage technologies like Scala and Spark, and work with AWS services to ensure data integrity and efficiency while mentoring junior engineers.
.png)
The Compliance Analyst develops policies, conducts audits, and implements compliance procedures to ensure adherence to regulations across the organization. Responsibilities include managing risk assessments, employee training, regulatory documentation, and compliance checks on IT systems, while staying updated on relevant laws and managing the Due Diligence Process.
The Campaign Operations Analyst will ensure smooth operations of marketing campaigns on Place Exchange’s platform. Responsibilities include collaborating with teams to resolve issues, monitoring performance, communicating with stakeholders, and contributing to process documentation.
Featured Jobs
The Senior Financial Analyst is responsible for regulatory reporting functions, including calculating weekly reserves, preparing monthly FOCUS reports, assisting with accounting closes, and managing audits and examinations. They will recommend process improvements and maintain regulatory compliance.
The Sr. Growth Analytics Analyst at GoodRx will support the marketing team in analytics to drive strategic decision-making. Responsibilities include building dashboards, deriving insights from datasets, and working cross-functionally with marketing, product, and engineering teams to optimize growth and campaign reporting.
The Data Modeler will design, implement, and maintain data models, create reports and dashboards using analytics tools, collaborate with stakeholders, and ensure documentation and best practices are upheld. This role requires extensive experience in data modeling and analytics, particularly with Amazon Redshift, QuickSight, and Power BI, within the financial sector.
The Database Engineer will assist in the migration of on-prem databases to AWS and develop Infrastructure as Code (IaC) using Terraform and Gitlab. Responsibilities include performance tuning of Oracle databases, database environment monitoring, and collaborating on physical database design. The role involves independent work as well as teamwork within the financial services industry.
As a Data Scientist at Voleon, you will extract insights from complex datasets, ensuring data correctness and health. Responsibilities include designing analysis pipelines, conducting statistical analyses, and communicating findings to the research staff and leadership. Your work will be crucial in supporting data-driven investment initiatives in a finance-focused environment.
As a Senior Data Scientist at Voleon, you will harvest insights from complex data, mentor junior Data Scientists, and design systems for data analysis and visualization. You will also communicate findings to stakeholders and guide technical efforts in financial and statistical analysis.
As a Workforce Analyst, you will analyze and forecast workforce needs using data-driven insights, improve operational efficiency, and influence staffing decisions. You will collaborate with management and provide detailed reports and recommendations based on metrics like turnover rates and productivity.
As a Quantitative Research Analyst, you will analyze large datasets to improve investment portfolios, perform quantitative analysis, and collaborate with senior researchers. Responsibilities include data parsing, statistical modeling, backtesting strategies, and monitoring portfolio performance.
As a Data Scientist at HUMAN, you will partner with various teams to enhance bot detection, develop statistical detection techniques, lead projects, and contribute to the Data Science culture and standards within the company.
The Senior Data Scientist will collaborate with product, engineering, and analysts to enhance bot detection and develop detection algorithms. Responsibilities include researching detection frameworks, supporting Data Science best practices, participating in code reviews, and improving data and ML infrastructure.
The Senior Data Ops Analyst will lead research initiatives for key customer accounts, provide insights into data quality and threats, enhance product features, and develop detection models and algorithms. They will also analyze historical data and improve existing techniques for better efficiency in fraud mitigation.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
