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Data Analytics Associate Jobs in Paramus, NJ (NOW HIRING)

The Associate, Analytics Engineer will join ICONIQ's Data & Analytics team within Technology, partnering across corporate functions to drive data-informed decision-making. The role combines ...

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Data Analytics Associate information

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How much do data analytics associate jobs pay per month?

As of Aug 22, 2026, the average monthly pay for data analytics associate in Paramus, NJ is $6,365.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,775.00 and $6,791.67 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 are the most commonly searched types of Data Analytics jobs in Paramus, NJ?

The most popular types of Data Analytics jobs in Paramus, NJ are:

What cities near Paramus, NJ are hiring for Data Analytics Associate jobs?

Cities near Paramus, NJ with the most Data Analytics Associate job openings:

Infographic showing various Data Analytics Associate job openings in Paramus, NJ as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $76,387 per year, or $36.7 per hour.

Associate, Analytics Engineer

ICONIQ

New York, NY • On-site

$150K - $170K/yr

Full-time

Medical

Posted 2 days ago

New


Job description

The Associate, Analytics Engineer will join ICONIQ's Data & Analytics team within Technology, partnering across corporate functions to drive data-informed decision-making. The role combines analytical and commercial thinking with the technical skills to translate business questions into actionable insights and scalable data solutions.

The Associate will work across the analytics lifecycle, from defining metrics and analyzing performance to building data models, pipelines, integrations, and dashboards. The ideal candidate is curious, commercially minded, analytically rigorous, and technically capable, with the ability to move between business conversations, analysis, and data engineering.

What You'll Do:

  • Partner with Corporate Finance, People Operations, Operations, Technology, and other stakeholders to understand business priorities, translate complex questions into analytical solutions, and proactively identify opportunities where data can improve decision-making and business outcomes.
  • Conduct structured analyses and develop analytical models and data products across financial, workforce, operational, and enterprise data, applying business context and sound judgment to identify trends, drivers, opportunities, and actionable insights.
  • Develop and maintain KPI frameworks, executive reporting, dashboards, and self-service analytics capabilities that provide trusted visibility into business performance and support financial planning, workforce planning, operational performance, and other corporate priorities.
  • Design, build, and maintain scalable data models, transformation pipelines, integrations, and workflows, leveraging SQL, Python, APIs, and modern data engineering practices to create reliable foundations for analytics and reporting.
  • Establish trusted and consistent enterprise data by partnering on business definitions and metrics and implementing data quality, monitoring, governance, documentation, and observability practices that improve accuracy, accessibility, and transparency.
  • Advance ICONIQ's analytics and data capabilities by collaborating across Analytics and Technology teams to evolve the cloud data platform and evaluate emerging data and AI technologies that can improve analytics, automation, engineering efficiency, and stakeholder outcomes.

Qualifications:

  • 4+ years of relevant experience in analytics engineering, data analytics, data engineering, business intelligence, or a related discipline**, ideally supporting corporate or enterprise functions such as Finance, FP&A, Accounting, Operations, or People Analytics.
  • Strong analytical and commercial orientation**, with demonstrated ability to structure ambiguous business questions, analyze complex datasets, identify meaningful trends and drivers, and translate findings into actionable insights.
  • Strong proficiency in SQL and working proficiency in Python**, with experience building and maintaining scalable data models, transformation pipelines, analytical products, and production-quality workflows with appropriate testing, monitoring, and data quality controls.
  • Strong understanding of modern data architecture and engineering practices**, including data warehousing, dimensional modeling, ETL/ELT, workflow orchestration, APIs and system integrations, and cloud data platforms such as Snowflake, Databricks, BigQuery, or Amazon Redshift.
  • Experience partnering directly with business stakeholders to define requirements, metrics, and analytical solutions**, including developing dashboards, executive reporting, KPI frameworks, and self-service analytics using Tableau, Hex, Sigma, Power BI, or similar platforms.
  • Excellent communication, collaboration, and execution skills**, with the ability to independently manage multiple priorities in a fast-paced environment, exercise sound judgment when working with sensitive enterprise data, and demonstrate curiosity about emerging technologies, including AI and AI-enabled analytics.

Location: Applicants are expected to work onsite in our New York City office in accordance with our hybrid working policy.

Compensation Range: ICONIQ is required by law to include a reasonable estimate of the salary range for this role, together with other compensation being offered such as a discretionary bonus, health insurance, and other perks. There are several factors taken into consideration in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At ICONIQ, we apply a total reward philosophy where all aspects of compensation and benefits are taken into consideration in determining compensation terms. A reasonable estimate of the current salary range is $150,000-$170,000 together with the benefits listed above.


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About ICONIQ

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2020