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Remote Data Analyst Python Jobs in Dumont, NJ (NOW HIRING)

Lorven Technologies

Senior Python Developer

Manhattan, NY · On-site +1

$133K - $180K/yr

Remote Duration: 12 Months We are seeking a Senior Python Engineer to join our FSD Product ... This role is focused on building and maintaining cloud-native, data-driven applications and APIs ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Advanced SQL skills and high proficiency in Python for both data analysis and engineering ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Advanced SQL skills and high proficiency in Python for both data analysis and engineering ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

... make data-driven recommendations for improvements Qualifications Bachelor's degree in Computer ... used in AI applications (Python, JavaScript) Experience taking projects from concept to ...

Precision Technologies Corp

Data Engineer

Jersey City, NJ · Remote

$117K - $140K/yr

Remote, however travel might be required as per business requirements Where you're headed Laying ... in Python, Java, SQL Querying, and Scala * Familiarity with advanced-analytics tools, such as ...

Resource Innovations

Energy Engineer

Jersey City, NJ · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... tool development using Python. * Review retro-commissioning and building tune-up project ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

... Data Science, or related field ● 0-2 years of professional experience (personal projects ... Python, JavaScript) ● Experience taking projects from concept to implementation in a ...

Resource Innovations

Energy Engineer

Jersey City, NJ · Remote

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... tool development using Python. * Review retro-commissioning and building tune-up project ...

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Data Engineer II Location-Type: Remote (EST hours preferred) Start Date Is: ASAP Duration ... Position Title & Overview The Data & Analytics team consists of data analysts, data engineers and ...

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All JobsData Analyst Python JobsRemote Data Analyst Python JobsRemote Data Analyst Python Jobs in Dumont, NJ

Remote Data Analyst Python information

See Dumont, NJ salary details

$37.1K

$90.3K

$148.6K

How much do remote data analyst python jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote data analyst python in Dumont, NJ is $90,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $106,000.00 per year, depending on experience, location, and employer.

What is the salary of Python 2 years experience?

A remote data analyst with two years of Python experience typically earns between $60,000 and $80,000 annually, depending on location, industry, and skill level. Proficiency in data manipulation, visualization, and relevant tools like Pandas or SQL can influence salary ranges.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analyst positions.

How do Remote Data Analyst Python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

Will AI replace data analysts?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role of a remote data analyst with skills in Python and data visualization remains valuable, as AI complements human expertise rather than replacing it entirely.

What is a Remote Data Analyst Python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

Is 40 too late for data science?

Age is not a barrier to becoming a data analyst or transitioning into data science; many professionals start or switch careers later in life. Success depends on acquiring relevant skills such as Python, SQL, and machine learning, along with practical experience and certifications. Employers value diverse backgrounds and experience, making 40 a reasonable age to pursue a data science career if you build your skills and portfolio.

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

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

What cities near Dumont, NJ are hiring for Remote Data Analyst Python jobs? Cities near Dumont, NJ with the most Remote Data Analyst Python job openings:
Remote Data Analyst Python jobs near you
Infographic showing various Remote Data Analyst Python job openings in Dumont, NJ as of July 2026, with employment types broken down into 69% Full Time, 8% Part Time, 6% Temporary, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $90,268 per year, or $43.4 per hour.

Data Engineer (Python / Power BI / Cloud)

TSG Risk Management

New York, NY • On-site, Remote

$80K - $100K/yr

Contractor

Re-posted 28 days ago

Job description

Location Requirement
This is a hybrid position based in New York City, with an expectation of 4 days per week in the office 1 day remote. Candidates must be local to the NYC area or open to relocation.
Position Overview
We are seeking a well-rounded Data Engineer to design, build, and support scalable data pipelines, analytics solutions, and reporting tools. This role sits at the intersection of data engineering, analytics, and stakeholder collaboration, and will play a key role in delivering high-quality, data-driven insights across the organization.
The ideal candidate is hands-on with Python, SQL, and ETL development, while also being comfortable building Power BI dashboards and partnering with cross-functional teams in an Agile environment.
Key Responsibilities
  • Design, develop, and maintain secure and scalable data pipelines and ETL processes
  • Build and optimize data models to support analytics and reporting use cases
  • Develop Power BI dashboards and reports to deliver actionable insights
  • Collaborate with cross-functional stakeholders to gather requirements and translate them into technical solutions
  • Participate in Agile ceremonies and project meetings, ensuring alignment on deliverables, timelines, and quality standards
  • Implement data quality controls and ensure accuracy, consistency, and reliability of data outputs
  • Develop and maintain Python scripts for data extraction, transformation, and automation
  • Support metric development and reporting automation initiatives
  • Contribute to infrastructure-related activities, including deployments and environment support
  • Create and maintain technical documentation (e.g., Confluence)
  • Provide regular updates on progress, risks, and dependencies to stakeholders
Required Qualifications
  • 4-6+ years of experience in data engineering or related field
  • Strong experience with Python and SQL
  • Hands-on experience building and maintaining ETL/data pipelines
  • Experience with data modeling and working with structured datasets
  • Experience with Power BI (dashboard development and reporting)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience working in Agile environments with cross-functional teams
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills with the ability to work with both technical and non-technical stakeholders
Preferred Qualifications
  • Experience with data automation and metric standardization
  • Exposure to infrastructure deployments or DevOps practices
  • Experience with Confluence or similar documentation tools
  • Prior experience supporting enterprise reporting or analytics initiatives

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