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Data Analyst Data Science Jobs in Edison, NJ (NOW HIRING)

Current

Senior Data Analyst, Data Analytics

New York, NY · On-site

$150K - $200K/yr

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that ...

Current

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

They are seeking a Senior Data Analyst to own data models, drive analytical initiatives, and ensure reliable data for decision-making. Responsibilities : • Own and evolve our core data models ...

Claroty

RevOps Data Analyst

New York, NY · On-site +1

$100K - $110K/yr

Bachelor's degree in Data Science, Business Analytics, Finance, Statistics, or a related field. * Experience: 3-5 years of relevant professional work experience in data analysis, data science, or ...

Brex

Data Analyst II

New York, NY · Hybrid

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

Socket.dev

Lead Insurance Data Scientist

Summit, NJ · On-site

$100 - $150/hr

At least 3 years of experience in a data analyst, data science, or comparable analytical role while in an insurance brokerage environment. * Strong organizational skills with the ability to manage ...

S4 Market Data

Market Data Analyst

Jersey City, NJ · On-site

PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer ...

Rent the Runway

Manager, Data Science

New York, NY · On-site

As a member of the Data Analytics team, you will partner closely with Product, Engineering, and ... The Data Science team develops machine learning solutions, recommendation systems, experimentation ...

Forhyre

Data Scientist

New York, NY · On-site

Analytical mind and business acumen * Strong math skills (e.g. statistics, algebra) * Problem-solving aptitude * Excellent communication and presentation skills * BSc/BA in Computer Science ...

Forhyre

Data Scientist

New York, NY · On-site

Analytical mind and business acumen * Strong math skills (e.g. statistics, algebra) * Problem-solving aptitude * Excellent communication and presentation skills * BSc/BA in Computer Science ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

... Data Science, Statistics, Applied Mathematics, or another quantitative field * 2+ years of industry work experience as an analyst, data scientist, or equivalent * Experience with training and ...

Varsity Tutors

Data Science Tutor

Summit, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Edison, NJ

Data Analyst Data Science information

See Edison, NJ salary details

$35.2K

$85.6K

$140.8K

How much do data analyst data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst data science in Edison, NJ is $85,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,700.00 and $100,400.00 per year, depending on experience, location, and employer.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Edison, NJ? For Data Analyst Data Science jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Edison, NJ look for? The top searched job categories for Data Analyst Data Science jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Data Analyst Data Science jobs? Cities near Edison, NJ with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $85,553 per year, or $41.1 per hour.

Senior Data Analyst, Data Analytics

Current

New York, NY • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago

Job description

Senior Data Analyst
Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.
ABOUT THE ROLE
We are looking for a Senior Data Analyst to play a central role in how we build, govern, and scale our analytics function. You will work closely with leadership and cross-functional teams to own data models, drive analytical initiatives, and ensure the business has reliable, well-defined data to make decisions from. This is a high-ownership role that sits at the intersection of data engineering rigour and business-facing analytics - suited to someone who is equally comfortable shaping a governance framework as they are presenting insight to a non-technical audience.
RESPONSIBILITIES
  • Own and evolve our core data models, ensuring the analytics layer accurately reflects business logic across the company's unit economics model.
  • Partner directly with leadership and cross-functional teams (Product, Engineering, Finance) to scope, prioritize, and deliver data-driven initiatives.
  • Own data quality and reliability across the analytics platform - defining standards, implementing tests, and ensuring models are trustworthy before they reach consumers.
  • Provide clear, actionable insight to stakeholders on business performance, customer behaviour, and metric trends - translating complex data into decisions.
  • Take ownership of reconciliation workflows, cross-checking mart outputs against source systems and flagging discrepancies.
  • Support the broader team with ad hoc analytics requests, with each task building domain context across Current's metrics and business logic.
  • Build and maintain dashboards, reports, and Looker explores that track KPIs across product, finance, and operations.
ABOUT YOU
  • 5+ years in a data analytics role where you owned multiple concurrent workstreams and operated with a high degree of autonomy.
  • At least 2-3 years in a consumer-facing fintech, digital banking, payments, or lending environment, working closely with transactional data, product metrics, and customer behavior at scale.
  • Proven track record of taking analytical projects from scoping through to delivery, with ownership over outcomes not just outputs. Strong written and verbal communication; comfortable presenting findings and recommendations to non-technical stakeholders and leadership.
  • Technical proficiency across the modern data stack Advanced SQL in a cloud data warehouse environment (Snowflake, BigQuery, or Redshift) - window functions, CTEs, and complex joins. Hands-on experience with dbt or a comparable transformation tool. Working knowledge of Looker or a comparable BI/semantic layer.
  • Python for scripting and automation. Comfortable writing Python to manipulate data, flag anomalies, and automate repeatable analytical tasks.
Additional Skills and Qualifications
  • Familiarity with Unit Economics concepts - ARPU, contribution profit, cohort LTV, interchange - or experience working with transaction-level data at scale.
  • Experience working in environments where data accuracy and auditability matter - validating outputs and tracing metric definitions across systems.
  • Looker experience is ideal; any hands-on experience building explorers, views, or governed metric layers on top of a mart layer is valuable.
  • Experience contributing to roadmaps, running cross-functional workstreams, or sitting alongside leadership in shaping how analytical work gets structured and prioritised - even informally.

This role has a base salary range of $150,000-$200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
BENEFITS
  • Competitive salary
  • Meaningful equity in the form of stock options
  • 401(k) plan
  • Discretionary performance bonus program
  • Biannual performance reviews
  • Medical, Dental and Vision premiums covered at 100% for you and your dependents
  • Flexible time off and paid holidays
  • Generous parental leave policy
  • Commuter benefits
  • Fitness benefits
  • Healthcare and Dependent care FSA benefit
  • Employee Assistance Programs focused on mental health
  • Healthcare advocacy program for all employees
  • Access to mental health apps
  • Team building activities
  • Our modern NYC based office with open floor plan, stocked kitchen, and catered lunches

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