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Data Analyst Python Sql Jobs in Mastic Beach, NY

Suffolk Credit Union

SVP/Enterprise Data & AI

Medford, NY · On-site

$200K - $230K/yr

Experience with enterprise data governance, modern data platforms, data privacy and security regulations (e.g., GDPR, CCPA), and analytical tools and technologies (e.g., SQL, Python, R). * Financial ...

Suffolk Credit Union

SVP/Enterprise Data & AI

Medford, NY · On-site

$200K - $230K/yr

Experience with enterprise data governance, modern data platforms, data privacy and security regulations (e.g., GDPR, CCPA), and analytical tools and technologies (e.g., SQL, Python, R). * Financial ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Mastic Beach, NY

Data Analyst Python Sql information

See Mastic Beach, NY salary details

$36K

$87.5K

$144K

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

As of Jul 26, 2026, the average yearly pay for data analyst python sql in Mastic Beach, NY is $87,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $102,700.00 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 cities near Mastic Beach, NY are hiring for Data Analyst Python Sql jobs? Cities near Mastic Beach, NY with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Mastic Beach, NY as of June 2026, with employment types broken down into 82% Full Time, 12% Part Time, 3% Contract, and 3% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $87,490 per year, or $42.1 per hour.

Data Engineer

Innovative Rocket Technologies Inc.

Hauppauge, NY

$116K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Data is pivotal to our goal of frequent launch and rapid iteration. We're recruiting a Data Engineer at iRocket to build pipelines, analytics, and tools that support propulsion test, launch operations, manufacturing, and vehicle performance.

The Role

  • Design and build data pipelines for test stands, manufacturing machines, launch telemetry, and operations systems.
  • Develop dashboards, real-time monitoring, data-driven anomaly detection, performance trending, and predictive maintenance tools.
  • Work with engineers across propulsion, manufacturing, and operations to translate data-needs into data-products.
  • Maintain data architecture, ETL processes, cloud/edge-data systems, and analytics tooling.
  • Support A/B testing, performance metrics, and feed insights back into design/manufacturing cycles.

Requirements

  • Bachelor's degree in Computer Science, Data Engineering, or related technical field.
  • 2+ years of experience building data pipelines, ETL/ELT workflows, and analytics systems.
  • Proficient in Python, SQL, cloud data platforms (AWS, GCP, Azure), streaming/real-time analytics, and dashboarding (e.g., Tableau, PowerBI).
  • Strong ability to work cross-functionally and deliver data-products to engineering and operations teams.
  • Strong communication, documentation, and a curiosity-driven mindset.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Wellness Resources

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