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Data Analytics Associate Jobs in Riverhead, NY (NOW HIRING)

... Policy, Data Analytics, Social Sciences, or a related field preferred. Equivalent combinations of education and experience may be considered: * Associate degree plus two (2) years of relevant ...

... Policy, Data Analytics, Social Sciences, or a related field preferred. Equivalent combinations of education and experience may be considered: * Associate degree plus two (2) years of relevant ...

Retail Data Collection Associate - PT

Smithtown, NY · On-site

$15.50 - $17.75/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a retail data collection associate, you would be a part of our ...

Retail Data Collection Associate - PT

Riverhead, NY · On-site

$16.25 - $18.75/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a retail data collection associate, you would be a part of our ...

Retail Data Collection Associate - PT

Smithtown, NY · On-site

$15.50 - $17.75/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a retail data collection associate, you would be a part of our ...

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Data Analytics Associate information

See Riverhead, NY salary details

$3.5K

$6.7K

$9.6K

How much do data analytics associate jobs pay per month?

As of Aug 22, 2026, the average monthly pay for data analytics associate in Riverhead, NY is $6,729.75, according to ZipRecruiter salary data. Most workers in this role earn between $6,108.33 and $7,175.00 per month, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

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

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What cities near Riverhead, NY are hiring for Data Analytics Associate jobs?

Cities near Riverhead, NY with the most Data Analytics Associate job openings:

Infographic showing various Data Analytics Associate job openings in Riverhead, NY as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,757 per year, or $38.8 per hour.

Associate Data & Analytics Product Manager

Jobtailor

Trumbull, CT • On-site

$110 - $160/hr

Other

Posted 4 days ago


Job description

Responsibilities
  • Drive the design, development, and deployment of scalable data and analytics products that enable business transformation across Customer Operations.
  • Connect business strategy with data and technology, embedding new ways of working, accelerating adoption, and delivering measurable impact through innovative analytics solutions.
  • Define and drive the Data & Analytics capability strategy aligned to Customer Operations priorities, digital transformation goals, and enterprise data strategy.
  • Partner with business stakeholders, product teams, and engineering teams to translate business needs into deployable, high‑value analytics products.
  • Establish standards, governance, and best practices to ensure sustainable product development, quality, scalability, and adoption.
  • Lead data, analytics, and AI‑enabled transformation initiatives that advance Customer Operations toward a tech‑forward operating model.
  • Strengthen end‑to‑end business visibility and customer‑centric decision‑making through scalable digital and analytics capabilities.
  • Build internal capability and foster a data‑driven culture by championing modern analytics practices, innovation, and continuous learning.
Requirements
  • Bachelor’s degree in data engineering, Supply Chain, Analytics, or related field
  • 3+ years of experience in supply chain with a clear competence in analytics, digital technology (e.g., advanced analytics, AI‑enabled platforms), and technology.
  • Proficiency with programming languages (e.g., SQL, Python, PySpark, Scala)
  • Experience with visualization platforms (e.g., Power BI, Tableau) and enterprise data ecosystems (e.g., Azure, Google Cloud)
  • Familiarity with enterprise systems (e.g., SAP) is preferred
Core Competencies

Demonstrates expertise in driving data and analytics product development aligned with business transformation goals, leveraging advanced analytics and AI technologies. Proven ability to establish governance and best practices while fostering a data‑driven culture within Customer Operations.

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