ZipRecruiter

Log In

1

Weekend Data Analytics Jobs in New York (NOW HIRING)

Omnicom

Senior Analyst, Data & Analytics

New York, NY · Hybrid

$94K - $118K/yr

Data and Analytics Job Subfunction: Data Science and Analytics TBD 75,000 to 95,000 Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in ...

Clear Street

Data Analytics Engineer

New York, NY

$150K - $225K/yr

You'll build on your analytical skills to create solutions that process large amounts of data from our data warehouse to generate clean, correct reporting, including building out reconciliations. You ...

Clear Street

Data Analytics Engineer

New York, NY · On-site

$150K - $225K/yr

You'll build on your analytical skills to create solutions that process large amounts of data from our data warehouse to generate clean, correct reporting, including building out reconciliations. You ...

Qvest US

Senior Consultant - Data & Analytics

Manhattan, NY · On-site

$94K - $119K/yr

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1 ...

previous pagenext page

Showing results 21-40

All JobsData Analytics JobsWeekend Data Analytics JobsWeekend Data Analytics Jobs in New York

Weekend Data Analytics information

What is the difference between Weekend Data Analytics vs Data Analyst?

AspectWeekend Data AnalyticsData Analyst
CredentialsBachelor's degree in data-related field, certifications like Google Data AnalyticsBachelor's or higher in data, statistics, or related fields, certifications optional
Work EnvironmentPart-time, flexible hours, often remote or on-site during weekendsFull-time, standard weekday hours, typically on-site or hybrid
Industry UsageUsed in industries needing weekend data support, such as retail or hospitalityUsed across various industries for data analysis, reporting, and insights

Weekend Data Analytics roles focus on part-time, flexible weekend work, often requiring specific certifications and catering to industries with weekend operations. Data Analysts typically work full-time during weekdays, handling broader data tasks across multiple sectors. Both roles involve data skills but differ mainly in schedule and scope.

Do data analysts work on weekends?

Data analysts typically work standard weekday hours, but they may occasionally work on weekends to meet project deadlines or analyze time-sensitive data. Weekend work is more common in roles with urgent reporting needs or in industries that operate 24/7, and it often depends on the company's policies and project requirements.

What are the most commonly searched types of Data Analytics jobs in New York?

The most popular types of Data Analytics jobs in New York are:

What cities in New York are hiring for Weekend Data Analytics jobs?

Cities in New York with the most Weekend Data Analytics job openings:

Weekend Data Analytics jobs near you

Risk Management Developer / Data Analytics

New York, NY

RedStream Technology
Recruiting and Staffing Services • 11 - 50 employees
Learn more about RedStream Technologyexternal

$150K - $165K/yr

Full-time

Posted 17 days ago

Job description

Job Description Risk Management Developer/ Data Analytics NYC/ Onsite Perm Role The Risk Management Group is seeking a developer/data analytics engineer to provide daily support to the team regarding risk analysis/monitoring, and to maintain and extend an existing risk analytics platform supporting structured credit, loan portfolio analysis, and related investment decision-making. The role involves developing tools for valuation, scenario analysis, Monte Carlo simulations, data processing and analysis, model execution, reporting, and visualization. The candidate should be comfortable working with quantitative risk concepts and collaborating directly with business users, but is not expected to design financial models.

Responsibilities: Maintain and enhance existing risk analytics applications and workflows. Support large-scale scenario and Monte Carlo analysis. Develop tools for model execution, data collection, validation, and analysis.

Build and improve applications for default analysis, rating transition matrices, prepayments analysis, regression analysis, and probability/exceedance curve reporting. Work with loan-level and transaction-level time series data from raw source formats through normalized datasets. Improve performance, reliability, logging, auditability, and usability of analytical processes.

Collaborate with Risk Management and IT teams to deliver practical tools for research, valuation, and portfolio analysis. Qualifications: Bachelor's or master's degree in computer science, mathematics, statistics, engineering, data science, financial engineering, quantitative finance, or a related technical field. Strong Python development skills.

Experience with data analysis libraries such as Pandas and/or Polars. Experience with SQL and relational databases, preferably MySQL. Experience automating analytical workflows, including Excel-based processes.

Experience with performance optimization, multiprocessing, parallel processing, or job orchestration. Ability to take ownership of an existing codebase and extend it in a reliable, maintainable way. Working knowledge of quantitative concepts such as Monte Carlo simulation, probability distributions, regression analysis, percentiles, default rates, and transition matrices.

Preferred Qualifications: Experience developing financial, risk, investment, or analytics applications. Experience with FastAPI or similar Python web frameworks. Experience with React and charting libraries such as Apache ECharts or Recharts.

Experience with Docker or containerized deployment. Familiarity with Excel/VBA integration, Jupyter notebooks, PyTorch is a plus where relevant. Familiarity with structured credit transactions, securitization, consumer/corporate loan data is a plus.

Apply