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Data Analyst Python Sql Jobs in Vineland, NJ (NOW HIRING)

Edmunds GovTech, Inc.

Data Analyst

Northfield, NJ

... such as SQL, Python, and reporting systems. This role is a fast-paced position that involves ... Work on a team of developers, analysts, and consultants focused on data acquisition and migration

Edmunds GovTech

Data Analyst

Northfield, NJ · On-site

$60K - $75K/yr

... such as SQL, Python, and reporting systems. This role is a fast-paced position that involves ... Work on a team of developers, analysts, and consultants focused on data acquisition and migration

Danaher

Digital Analyst Internships

Smyrna, DE · On-site

$86K - $101K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

RADGOV INC

Data Governance Analyst

Smyrna, DE · On-site

Business Analyst 1 (Data governance analyst) Onsite on Monday and Tuesday (must be within an hour ... Strong command of SQL, Python or R is highly valuable * Experience working in healthcare, public ...

FocusKPI

Marketing Operations Analyst

Smyrna, DE · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Stefanini

Data Governance Analyst

Smyrna, DE · On-site

Strong command of SQL is must. Preferred Skills: Strong understanding of data dictionaries, data ... Python or R is highly valuable Experience working in healthcare, public health, or government data ...

Stefanini

Data Governance Analyst

Smyrna, DE · On-site

Strong command of SQL is must. Preferred Skills:Strong understanding of data dictionaries, data ... Python or R is highly valuableExperience working in healthcare, public health, or government data ...

NFP Corp

Actuarial Analyst (Hybrid)

Woodbury, NJ · On-site

$75K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The role combines technical actuarial work with data analysis to help evaluate risk exposure ... Exposure to, or interest in learning, SQL, Python, and AI-enabled analytical tools * Demonstrated ...

NFP Corp

Actuarial Analyst (Hybrid)

Woodbury, NJ · On-site

$75K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The role combines technical actuarial work with data analysis to help evaluate risk exposure ... Exposure to, or interest in learning, SQL, Python, and AI-enabled analytical tools * Demonstrated ...

NFP Corp

Actuarial Analyst (Hybrid)

Woodbury, NJ · On-site

$75K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The role combines technical actuarial work with data analysis to help evaluate risk exposure ... Exposure to, or interest in learning, SQL, Python, and AI-enabled analytical tools * Demonstrated ...

Aon

Actuarial Analyst (Hybrid)

Woodbury, NJ · On-site

$75K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The role combines technical actuarial work with data analysis to help evaluate risk exposure ... Exposure to, or interest in learning, SQL, Python, and AI-enabled analytical tools * Demonstrated ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Vineland, NJ

Data Analyst Python Sql information

See Vineland, NJ salary details

$33.7K

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

As of Aug 20, 2026, the average yearly pay for data analyst python sql in Vineland, NJ is $82,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,300.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Vineland, NJ?

For Data Analyst Python Sql jobs in Vineland, NJ, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Vineland, NJ look for?

The top searched job categories for Data Analyst Python Sql jobs in Vineland, NJ are:

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Cities near Vineland, NJ with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you

Data Analyst - SQL

Motion Recruitment Partners, LLC

Northfield, NJ • On-site

$70K - $95K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

This organization is seeking a Data Analyst to support client-facing data acquisition and migration initiatives across a variety of environments. Based in Northfield, NJ, hybrid flexibility, this role involves working with legacy systems to discover, extract, and transform data using tools such as SQL, Python, and reporting platforms. The position operates within a fast-paced professional services environment, collaborating with cross-functional teams throughout different phases of the SDLC.
This is an excellent opportunity for an early-career professional to gain exposure to diverse technologies, industries, and client challenges. The role emphasizes hands-on technical problem solving, direct client interaction, and continuous learning. Candidates who enjoy working on multiple projects, building automation solutions, and delivering high-impact results will thrive. The team values collaboration, attention to detail, and strong communication skills, offering a dynamic environment where your contributions directly support meaningful client outcomes.
Required Skills & Experience
  • Bachelor's degree in Computer Science, Business, Accounting, Finance, or related field (or equivalent experience)
  • 1-3 years of experience in professional services, client implementations, or data migration projects
  • Strong experience with SQL and relational database management systems (e.g., MSSQL, Oracle, MySQL, AS400)
  • Experience extracting and transforming data from structured, semi-structured, and unstructured data sources
  • Ability to gather and analyze system requirements for data acquisition initiatives
  • Strong attention to detail, organization, and analytical thinking skills
  • Excellent verbal and written communication skills, especially in client-facing environments
Desired Skills & Experience
  • Experience with scripting languages such as Python, Bash, or PowerShell
  • Familiarity with process automation and ETL workflows
  • Exposure to reporting tools and data visualization platforms
  • Knowledge of accounting, finance, payroll, or general business processes
  • Experience working within Agile or SDLC-based project environments
  • Consulting or client services experience is a plus
What You Will Be Doing
Tech Breakdown
  • SQL & Database Management: 40%
  • Data Extraction & Transformation: 30%
  • Scripting & Automation (Python/Bash): 20%
  • Reporting & Analysis Tools: 10%
Daily Responsibilities
  • Data extraction, transformation, and validation: 35%
  • Client interaction and requirements gathering: 25%
  • Development of scripts and automation processes: 20%
  • Collaboration with team members across projects: 10%
  • Documentation and quality assurance: 10%
The Offer
  • Competitive salary: $70,000-$95,000)
  • Health, dental, and vision insurance
  • 401(k) with employer match
  • Paid time off and holidays
  • Flexible work environment (remote/hybrid options)
  • Professional development and training opportunities

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