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Python Data Analyst Jobs in New Jersey (NOW HIRING)

Data Analyst- Channel

Jersey City, NJ · On-site

$85K - $110K/yr

Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must ... Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret ...

Proficiency in data analysis tools (e.g., SQL, Python, R, Excel) to extract, transform, and analyze large datasets * Technical writing experience in relevant areas, including queries, reports, and ...

Experience working with large datasets using SQL, Python, or similar analytical tools. * Strong analytical, problem-solving, and data validation skills. * Ability to communicate complex fixed income ...

Senior Data Analyst

Moorestown, NJ · On-site

$84K - $107K/yr

We are currently seeking a Senior Data Analyst to join our team in Moorestown, NJ. Responsibilities ... Hands-on experience with PyTorch and related Python libraries * Experience with unsupervised ...

NJ · Hybrid

$186K/yr

Build and utilize reporting in a range of tools including SQL, Python, Alteryx & Tableau ... Through data-driven analysis, translate analytical findings into actionable business ...

Through data-driven analysis, translate analytical findings into actionable business ... Build and utilize reporting in a range of tools including SQL, Python, Alteryx & Tableau ...

Senior Data Analyst

Moorestown, NJ

$84K - $107K/yr

We are currently seeking a Senior Data Analyst to join our team in Moorestown, NJ. Responsibilities ... Hands-on experience with PyTorch and related Python libraries * Experience with unsupervised ...

Senior Data Analyst

Morristown, NJ · On-site

$88K - $111K/yr

Proficiency in Python or R for data wrangling, automation, or analytical scripting * Experience working in regulated industries such as financial services, healthcare, retail, or government

Senior Data Analyst

Cranbury, NJ · On-site

$100K - $120K/yr

The Senior Data Analyst will mentor junior analysts, collaborate with cross-functional teams, and ... Experience with statistical analysis using Python, R, or SAS. * Excellent written and verbal ...

... Python, Stata, or SAS; • Able to apply with minimal supervision. Advanced knowledge may be ... data analysis, handling increasingly more complex and diverse research and development data ...

Role As a Junior Data Analyst you will be part of the Analytics team at EXOGROUP, which is a highly ... You have programming experience in Python. * You are familiar with SQL and Git. * Experience with ...

Be Seen First

Entry-Level Python Developer Fulltime Candidate Must be open to relocate We are looking for a ... Strong analytical and problem-solving skills. * Good communication and teamwork abilities.

Senior Python/Spark developer

Princeton, NJ

$127K - $171K/yr

Good data analysis skills * Any experience with Spark or Hadoop is a plus In this position, you will work as a senior Python developer and also as a data analyst, which involves reviewing data in our ...

Senior Python/Spark developer

Princeton, NJ · On-site

$127K - $171K/yr

Good data analysis skills * Any experience with Spark or Hadoop is a plus In this position, you will work as a senior Python developer and also as a data analyst, which involves reviewing data in our ...

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Python Data Analyst information

See New Jersey salary details

$34.5K

$83.9K

$138.1K

How much do python data analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for python data analyst in New Jersey is $83,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,500.00 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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 a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because 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.
What are the most commonly searched types of Python Data Analyst jobs in New Jersey? The most popular types of Python Data Analyst jobs in New Jersey are:
What job categories do people searching Python Data Analyst jobs in New Jersey look for? The top searched job categories for Python Data Analyst jobs in New Jersey are:
What cities in New Jersey are hiring for Python Data Analyst jobs? Cities in New Jersey with the most Python Data Analyst job openings:
Infographic showing various Python Data Analyst job openings in New Jersey as of July 2026, with employment types broken down into 1% Internship, 81% Full Time, 11% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $83,899 per year, or $40.3 per hour.
Data Analyst- Channel

Data Analyst- Channel

AvePoint

Jersey City, NJ • On-site

$85K - $110K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

Job Summary: 

 AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner business. In this role, you will analyze data across our partner ecosystem-including sales performance, customer usage, licensing, and marketing-to provide insights into how our partners drive revenue growth, customer adoption, and long-term retention. Your work will help leadership make decisions on where to invest, which partners to prioritize, and how to grow our channel business effectively. 

Key Responsibilities: 

  • Partner Performance Analysis 
    Analyze how partners contribute to revenue growth, pipeline creation, and customer expansion across regions, channels, and segments. 
  • Partner Health & Engagement Insights 
    Develop lifecycle metrics and scorecards to assess partner effectiveness based on engagement, product adoption, customer satisfaction, and training participation. 
  • Revenue & Forecasting Support 
    Support reporting on recurring revenue (ARR), renewals, and pipeline, helping leadership understand growth trends and risks within the partner ecosystem. 
  • Customer & Partner Relationship Insights 
    Analyze how customers move between direct sales and partners, and identify opportunities for expansion and retention through partner channels. 
  • Partner Marketing Analytics 
    Measure the impact of partner-driven campaigns and initiatives on new partner acquisition and existing partner growth. 
  • Predictive & Strategic Analysis 
    Build models to identify high-growth partners, at-risk partners, and opportunities to improve partner coverage or investment. 
  • Dashboarding & Executive Reporting 
    Create clear, executive-ready dashboards and insights that help sales, marketing, and partner teams take action. 
  • Cross-Functional Collaboration 
    Partner with Sales/Go-To-Market, Partner Programs, Marketing, RevOps, and Finance to align on metrics, reporting, and business priorities. 

Qualifications: 

  • Education: Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master's degree preferred. 
  • Experience: 3+ years of experience in data analysis, preferably in a SaaS or technology environment, with a focus on customer data analytics. Experience in SaaS B2B performance metrics such as Annual Recurring Revenue, Net Recurring Revenue, and Gross Recurring Revenue analysis is a plus. 
  • Technical Skills: Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must. Experience with customer systems such as CRM systems (e.g., Dynamics CRM, PRMs), Gainsight CS, Everstage Commission, Segment Marketing, DealHub, OutReach, and Zoominfo experience are also a plus. 
  • Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights. 
  • Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively. 
  • Attention to Detail: High level of accuracy and attention to detail in data handling and analysis. 
  • Business Acumen: Understanding of sales, marketing, and customer success processes and how data can inform strategy and decision-making. 
  • Team Player: Ability to work collaboratively in a fast-paced, dynamic environment 

The Salary Range for this role is $85,000 - $110,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions-apply even if your expectations fall outside the range.