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Python Data Analyst Jobs in Newark, NJ (NOW HIRING)

Brex

Data Analyst II

New York, NY · On-site

$93K - $117K/yr

Experience with Python for data analysis, automation, or scripting. * Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar). * Strong quantitative and ...

Lemonade

Data Analyst

New York, NY · On-site

We're built as a lean, data-driven organization that relies on a common understating of objectives ... Advanced SQL and working proficiency in Python or R for analysis, scripting, and lightweight ...

NAVA Software Solutions

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

SQL, Python, BigData, Data Analytics As a Data Analyst, you will leverage machine learning and predictive analytics to solve high impact business challenges across Insider Intelligence. This role is ...

Brookfield

Sr Data Analyst

New York, NY · On-site

$103K - $133K/yr

Develops and optimizes SQL queries, Python/PySpark scripts, and data pipelines to extract, transform, and validate data for analysis and reporting. * Independently leads analytics initiatives ...

Current

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

... Python for scripting and automation. • Comfortable writing Python to manipulate data, flag anomalies, and automate repeatable analytical tasks. Preferred : • Familiarity with Unit Economics ...

INSPYR Solutions

People Data Analyst

New York, NY · On-site

Key Responsibilities • Review and analyze people-related data from HRIS (Workday), performance ... Python, R, or Tableau is a plus. • Ability to use AI tools to enhance reporting and analytics.

Current

Senior Data Analyst, Data Analytics

New York, NY · On-site

$150K - $200K/yr

Python for scripting and automation. Comfortable writing Python to manipulate data, flag anomalies, and automate repeatable analytical tasks. Additional Skills and Qualifications * Familiarity with ...

ShopMy

Senior Data Analyst

New York, NY

$94K - $118K/yr

Who You Are We're looking for a Senior Data Analyst to join ShopMy's growing data team. This role ... Experience with scripting languages (Python or similar) for analysis and automation * Strong ...

Diverse Lynx

Data analyst with AI

Jersey City, NJ · On-site

Diverse Lynx is a company focused on data-driven solutions, and they are seeking a Data Analyst ... Python, SQL, etc.) to manipulate data and draw insights from large data sets. • Knowledge of a ...

Current

Senior Data Analyst, Data Analytics

New York, NY · On-site

$150K - $200K/yr

Python for scripting and automation. Comfortable writing Python to manipulate data, flag anomalies, and automate repeatable analytical tasks. Additional Skills and Qualifications * Familiarity with ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Newark, NJ

Python Data Analyst information

See Newark, NJ salary details

$35.6K

$86.4K

$142.2K

How much do python data analyst jobs pay per year?

As of Jun 23, 2026, the average yearly pay for python data analyst in Newark, NJ is $86,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,400.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

What are the key skills and qualifications needed to thrive as a Python Data Analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
More about Python Data Analyst jobs
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Newark, NJ as of June 2026, with employment types broken down into 3% As Needed, 37% Full Time, 49% Part Time, 1% Temporary, 9% Contract, and 1% Nights. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $86,419 per year, or $41.5 per hour.
Data Analyst - Risk & Analytics *** Direct End Client ***

Data Analyst - Risk & Analytics *** Direct End Client ***

Projas Technologies, LLC

Manhattan, NY • On-site

Other

Posted 24 days ago

Job description

Data Analyst Risk & Analytics (Fintech)

As a Risk Data Analyst, you ll work at the intersection of analytics, compliance, and product innovation. This role is part of a dynamic Risk Analytics and Insights team that influences billions of dollars in transactions annually. You ll partner with cross-functional teams to uncover insights, design experiments, and shape strategies that drive secure, scalable growth.
Domain expertise in Security, Risk & Fraud in Fintech space (consumer Lending, Fraud & Risk Policy, Compliance, Marketing, Product, Finance is required)

Key Responsibilities:
  • Develop intuitive dashboards and visualizations to monitor performance and guide decisions.
  • Design and execute A/B tests and data-driven experiments to optimize business outcomes.
  • Communicate insights clearly to technical and non-technical stakeholders, including executives.
  • Collaborate with product, compliance, finance, and data science teams to define scalable analytics frameworks.
  • Analyze large-scale transactional data to detect trends, anomalies, and risk patterns.
  • Investigate root causes of performance gaps and propose timely corrective actions.
  • Build and maintain clean, reliable data pipelines for monitoring and experimentation.
  • Identify and resolve gaps in data quality, availability, and structure.
Qualifications:
  • 5+ years in analytics, data science, or decision strategy roles (Fintech or Financial Services preferred).
  • Advanced SQL skills and working knowledge of Python for data manipulation and automation.
  • Experience with data visualization tools (Tableau, Quicksight, Qlik) and dashboard development.
  • Strong understanding of A/B testing principles and experimental design.
  • Proven ability to influence decisions through data-driven recommendations.
  • Excellent communication skills for translating complex data into actionable insights.
  • Bachelor s degree in a quantitative field (Economics, Math, Science) or equivalent experience.

senior business data analyst, risk analytics, fintech jobs, SQL, Python, A/B testing, data visualization, Tableau, Quicksight, Qlik, compliance analytics, fraud detection, risk management, dashboard development, data science, financial services, experimentation, policy analytics, KPIs, OKRs, data storytelling, cross-functional collaboration

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