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Business Analytics Data Science Jobs in New York

MetTel

Data Analyst - Business Insights

New York, NY · On-site

$95K/yr

Keywords: #Data Analytics, #Data Scientist, #Financial Modeling, #Business Insights, #JobsNearMe, #BusinessAnalyst, Data Analytics, Data Scientist, Financial Modeling, Business Insights, Jobs Near Me ...

MetTel

Data Analyst - Business Insights

New York, NY · On-site

$95K/yr

Keywords: #Data Analytics, #Data Scientist, #Financial Modeling, #Business Insights, #JobsNearMe, #BusinessAnalyst, Data Analytics, Data Scientist, Financial Modeling, Business Insights, Jobs Near Me ...

MetTel

Data Analyst - Business Insights

New York, NY

$95K/yr

Keywords: #Data Analytics, #Data Scientist, #Financial Modeling, #Business Insights, #JobsNearMe, #BusinessAnalyst, Data Analytics, Data Scientist, Financial Modeling, Business Insights, Jobs Near Me ...

New York Blood Center Inc

Analytics Engineer

Rye, NY · On-site

$132K - $142K/yr

This role bridges analytics, data engineering, and applied data science, transforming complex and ambiguous business questions into high-quality analyses, dashboards, and data-driven recommendations.

New York Blood Center Inc

Analytics Engineer

Rye, NY · On-site

$142K/yr

This role bridges analytics, data engineering, and applied data science, transforming complex and ambiguous business questions into high-quality analyses, dashboards, and data-driven recommendations.

Burson

Vice President, Data Science

New York, NY · On-site

This highly strategic and hands-on role will drive advanced analytics, data science, dashboarding, predictive modeling, and AI-powered initiatives that help clients solve complex business ...

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Business Analytics Data Science information

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How much do business analytics data science jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for business analytics data science in New York is $49.72, according to ZipRecruiter salary data. Most workers in this role earn between $38.41 and $58.37 per hour, depending on experience, location, and employer.

What is business analytics data science?

Business analytics data science is a field that combines data analysis, statistical modeling, and technology to help organizations make data-driven decisions. Professionals in this area use various tools and methods to collect, process, and interpret large datasets, uncovering insights that can improve business performance and strategy. They often create predictive models, visualize trends, and provide actionable recommendations to stakeholders. The goal is to turn raw data into valuable information that supports business objectives.

What are the key skills and qualifications needed to thrive as a business analytics data scientist?

To thrive as a Business Analytics Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in tools such as Python, R, SQL, and data visualization platforms like Tableau, along with familiarity with machine learning libraries and sometimes certifications (e.g., Microsoft Certified: Data Scientist Associate), is typical. Critical thinking, effective communication, and business acumen are standout soft skills that help translate data insights into actionable strategies. These abilities are essential for turning complex data into valuable business solutions that drive informed decision-making and organizational growth.

How do business analytics data science professionals typically collaborate with other departments within an organization?

Business Analytics Data Science professionals frequently work cross-functionally, collaborating with teams such as marketing, finance, operations, and IT to understand business challenges and identify opportunities where data-driven insights can add value. They often participate in meetings to gather requirements, share analytical findings, and help stakeholders interpret data results to inform decision-making. This collaborative environment not only broadens exposure to different business areas but also enhances communication and project management skills, which are crucial for career growth in this field.

What is the difference between Business Analytics Data Science vs Data Analyst?

AspectBusiness Analytics Data ScienceData Analyst
Required CredentialsBachelor's or master's in data science, analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree in statistics, mathematics, or related fields; often no specific certifications required
Work EnvironmentCross-functional teams, strategic projects, often in tech, finance, or consultingOperational roles, reporting, dashboards, often in various industries
Employer & Industry UsageUsed in industries focusing on predictive modeling and advanced analyticsCommon in business operations, reporting, and data visualization

Business Analytics Data Science involves advanced statistical modeling, machine learning, and predictive analytics to inform strategic decisions. Data Analysts focus on interpreting data, creating reports, and visualizations to support daily business operations. While both roles require strong analytical skills, Business Analytics Data Science typically demands more technical expertise and programming knowledge.

What is the role of a business analytics data scientist in business analytics?

A business analytics data scientist analyzes large datasets to identify trends, develop predictive models, and support data-driven decision-making within organizations. They use tools like Python, R, and SQL, and often work closely with business stakeholders to translate data insights into strategic actions.

What are popular job titles related to Business Analytics Data Science jobs in New York?

For Business Analytics Data Science jobs in New York, the most frequently searched job titles are:

What job categories do people searching Business Analytics Data Science jobs in New York look for?

The top searched job categories for Business Analytics Data Science jobs in New York are:

Business Analytics Data Science jobs near you
Infographic showing various Business Analytics Data Science job openings in New York as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $103,427 per year, or $49.7 per hour.

Data Analyst - Business Insights

MetTel

New York, NY • On-site

$95K/yr

Full-time

Posted 11 days ago

Job description

We are seeking a talented, highly motivated individual to join our Business Insights team at our New York headquarters. The ideal candidate will have a love of data and proficiency in researching, customizing, exacting, evaluating, identifying trends, managing, and translating data into actionable business insights.

Within this role you will:

  • Collaborate with cross-functional teams, including product management, sales, finance, customer success, and senior leadership to capture key data and identify data-driven insights.
  • Analyze, and interpret large and complex data sets related to business performance, account growth, and product usage, etc.
  • Create and develop detailed financial models and analysis to support various strategic initiatives including market analysis, customer segmentation, product usage, etc.
  • Create and deliver high-impact reports and interactive dashboards that intuitively communicate or visualize key insights to senior leadership.
  • Create and deliver executive sales dashboards for monthly review by senior leadership.
  • Assess and process map methodologies to identify and implement data governance, innovative workflows, or efficiencies to enhance our data mining efforts.

Requirements:

The ideal candidate will meet the following qualifications:

  • A bachelor's degree in finance, data science, or economics.
  • 3-5 years' experience in analyzing markets, product, generating financial statements, data analysis, or dashboard creation.
  • Possess strong critical thinking and data analysis skills.
  • Proven ability to present complex data and insight to senior leadership.
  • Proficiency in predictive modeling, presentation and report generation.
  • Strong demonstratable experience in Excel, PowerPoint, SageX3, or Salesforce.
  • Experience with programming languages commonly used in data analysis (i.e. SQL, Python)
  • Experience creating complex queries for data extraction and reporting.
  • Experience with Data modeling applications such as Tableau or PowerBI.

Salary: 

This position has a base compensation package offered at $95,000 commensurate with education and background experience.

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