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

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

... Python, SQL, and Azure Data Factory/Fabric . * Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage . * Support analytics and AI/ML use cases with clean ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

... Python, SQL, and Azure Data Factory/Fabric . * Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage . * Support analytics and AI/ML use cases with clean ...

Winston Benefits, a Brown & Brown company, is seeking an EDI Data Analyst responsible for ... Experience with Microsoft SQL. * General understanding of data schemas and structures. Pay Range 20 ...

SQL Tutor

Point Pleasant, NJ · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Senior Data Architect

Holmdel, NJ · On-site

$75.25 - $100.50/hr

Demonstrated expertise with data sourcing, profiling, data mapping and data analysis. * Strong SQL, PL/SQL experience and skilled in creating and optimizing queries and data structures. * Knowledge ...

Be Seen First

... data analysis skills using SQL, Excel, or similar tools Experience working in Agile/Scrum delivery ... Python, or cloud data platforms (Azure/AWS) Experience with data ingestion frameworks, ETL/ELT ...

Data Science Tutor

Point Pleasant, NJ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Data Analyst Python Sql information

See Toms River, NJ salary details

$34.4K

$83.5K

$137.4K

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

As of Jul 31, 2026, the average yearly pay for data analyst python sql in Toms River, NJ is $83,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $98,000.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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 are Data Analyst Python SQL jobs?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 job categories do people searching Data Analyst Python Sql jobs in Toms River, NJ look for? The top searched job categories for Data Analyst Python Sql jobs in Toms River, NJ are:
What cities near Toms River, NJ are hiring for Data Analyst Python Sql jobs? Cities near Toms River, NJ with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Toms River, NJ as of July 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, 14% Hybrid, and 7% Remote job distribution, with an average salary of $83,496 per year, or $40.1 per hour.

Azure Data Engineer

Tech Tammina

Hamilton, NJ • On-site

$113K - $136K/yr

Full-time

Re-posted 18 days ago


Job description

Role: Azure Data Engineer
Location: Hamilton, NJ (4 days onsite)
Duration: Long term
Responsibilities
  • Design and develop data pipelines using Azure Data Services and Databricks.
  • Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric.
  • Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage.
  • Support analytics and AI/ML use cases with clean, reliable, and scalable data models.
  • Collaborate with stakeholders to translate business needs into technical solutions.

Required Skills
  • Strong experience in Azure Data Engineering.
  • Hands-on expertise with Databricks, PySpark, Python SQL.
  • Experience with Azure Fabric, Snowflake, and modern data architectures.
  • Solid understanding of cloud data pipelines, performance tuning, and data governance.
  • Strong communication and stakeholder collaboration skills.