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Weekend Data Analytics Jobs in New York (NOW HIRING)

Data Analytics AI Engineer

New York, NY ยท On-site

$156K - $204K/yr

The team has evolved from providing deep analysis to becoming enablers, bringing the right data and AI tools so that Sales, Marketing, and Customer Operations can run analysis and forecasting. We ...

Data Analytics AI Engineer

New York, NY ยท On-site

$156K - $204K/yr

The team has evolved from providing deep analysis to becoming enablers, bringing the right data and AI tools so that Sales, Marketing, and Customer Operations can run analysis and forecasting. We ...

Data Analytics AI Engineer

Manhattan, NY ยท On-site

$156K - $204K/yr

The team has evolved from providing deep analysis to becoming enablers, bringing the right data and AI tools so that Sales, Marketing, and Customer Operations can run analysis and forecasting. We ...

Showing results 41-60

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:

Business Analyst - Advanced Data Analytics

Brooklyn, NY โ€ข On-site

$60 - $90/hr

Full-time

Re-posted 26 days ago


Job description

Business Analyst (Contract) - Advanced Data Analytics
Location:
New York, NY (hybrid/in-office at least 3 days per week)
Our client is a leading independent financial advisory firm serving boards, management teams, and shareholders on major strategic decisions. It also provides capital-raising, equity services, and wealth management through a global office network.
Must haves
  • 5+ years as a Business Analyst on complex cross-functional initiatives in financial services
  • Front-office exposure in investment banking, capital markets, private equity, venture capital, or hedge funds
  • Experience supporting AI, ML, or data science products
  • Strong requirements gathering and stakeholder management skills
  • Ability to lead UAT planning, testing coordination, issue triage, and resolution
  • Strong communication skills across technical teams, bankers, and senior executives
  • Proactive, independent, and solutions-oriented approach in fast-moving environments
  • Ability to assess product usability and provide actionable UX feedback
  • Familiarity with generative AI tools and practical use cases

Nice to have
  • Experience with enterprise data platforms, lakehouses, BI modernization, or data governance
  • Familiarity with Databricks or similar cloud data platforms
  • Experience with BI/data visualization tools such as Power BI, Tableau, or Qlik
  • Ability to analyze data using SQL or Python

Top responsibilities
  • Gather, analyze, and translate business needs into clear requirements for AI, ML, and analytics products
  • Act as the bridge between technical teams and front-office stakeholders to keep delivery aligned
  • Own UAT planning and execution, including test plans, issue triage, and closure
  • Manage and maintain the firm's data demand intake pipeline and demand register
  • Track and communicate demand status, data readiness, and support governance efforts as needed

Top skills required
  • Business requirements elicitation and documentation
  • Stakeholder management across business and technical teams
  • UAT planning, coordination, and issue resolution
  • Communication and presentation skills across multiple seniority levels
  • Analytical thinking with a proactive, ownership-driven mindset.

Compensation: $60.00 - $90.00 per hour
Who We Are
High Bridge is a bottom-up consulting firm with more than two decades of experience creating innovative solutions for the technology industry.
  • We connect thoughtfully curated talent with reputable employers in our field.
  • We partner with like-minded companies to bolster mutual success and understanding.
  • We deliver results through strategic planning and meticulous project management.

At High Bridge, we believe that success is a measure of results and process, product and person. We are proud to bring integrity and humanity to the work that we do each day. Whether we're interviewing prospective associates, brainstorming with partners, or troubleshooting with vendors, we pledge our commitment to honesty, transparency, and good humor at every junction.
Careers
Are you passionate about technology? Do you believe in no finish lines? Are people and process the heel in your stride? High Bridge Consulting may be the next journey for you.
Here at High Bridge, our island is technology, but our village is human. We value a culture of authenticity, integrity, and creativity. We work smart, not hard, we look forward, not backward, and we love coming to work on Monday.
If you aren't afraid of heights, join us on our bridge.