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Data Analyst Python Sql Jobs in Norwich, NY (NOW HIRING)

Proficiency in SQL for data extraction and manipulation * Experience with Python (preferred) or R for data analysis and modeling * Familiarity with statistical methods and machine learning techniques

Data Scientist (Hybrid)

Edmeston, NY ยท Hybrid

$86K - $143K/yr

... analytics or data science. Qualifications/Skills: * Proficiency in SQL, Python or R (Python ... preferred), and machine learning techniques. * Strong analytical, problem-solving, and ...

Associate Data Scientist (Hybrid)

Edmeston, NY ยท On-site

$73K - $123K/yr

Proficiency in SQL for data extraction and manipulation * Experience with Python (preferred) or R for data analysis and modeling * Familiarity with statistical methods and machine learning techniques

Data Scientist (Hybrid)

Edmeston, NY ยท On-site

$86K - $143K/yr

The Data Scientist independently applies advanced analytics and machine learning techniques to ... in SQL, Python or R (Python preferred), and machine learning techniques. * Strong analytical ...

The dashboard must create a foundation of data analytics in support of plasma collection & yield ... Know SQL * Ability to write and test code. * AWS React * Dev Ops (CICD pipeline, GET Hub)

Senior Automation Engineer

New Berlin, NY ยท On-site

$100K - $131K/yr

... analyses, sequence of operations, etc. * Maintain all automation programming software for the ... Work with IT to build a bridge from plant floor data to the ERP system * Continually seek out best ...

Senior Automation Engineer

New Berlin, NY ยท On-site

$100K - $131K/yr

... analyses, sequence of operations, etc. * Maintain all automation programming software for the ... Work with IT to build a bridge from plant floor data to the ERP system * Continually seek out best ...

Data Analyst Python Sql information

See Norwich, NY salary details

$32.3K

$78.6K

$129.3K

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

As of Sep 1, 2026, the average yearly pay for data analyst python sql in Norwich, NY is $78,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 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 cities near Norwich, NY are hiring for Data Analyst Python Sql jobs?

Cities near Norwich, NY with the most Data Analyst Python Sql job openings:

Infographic showing various Data Analyst Python Sql job openings in Norwich, NY as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $78,587 per year, or $37.8 per hour.

Associate Data Scientist (Hybrid)

Nycm

Edmeston, NY โ€ข Hybrid

$73K - $123K/yr

Full-time

Posted 19 days ago


Job description

The Associate Data Scientist supports data-driven decision-making across the organization by developing and applying statistical and machine learning models to insurance data. This role is responsible for data extraction, cleaning, and exploratory analysis, as well as building predictive models to support initiatives across the organization such as risk assessment, claims forecasting, pricing, and fraud detection. Working closely with senior data scientists and supervisors, the Associate Data Scientist translates complex data into actionable insights while ensuring model transparency, regulatory compliance, and alignment with business objectives. This position provides an opportunity to contribute to pricing, claims, and underwriting strategies, operational efficiency, and improved customer outcomes within a highly regulated, risk-focused environment.

Duties & Responsibilities:

  • Extract, clean, and prepare structured insurance data from multiple sources for analysis and modeling
  • Perform exploratory data analysis to identify trends, patterns, and anomalies in risk, claims, and customer data
  • Develop, validate, and maintain predictive models to support initiatives across the organization such as risk assessment, claims forecasting, pricing and fraud detection.
  • Evaluate model performance and ensure outputs are accurate, reliable, and aligned with business objectives
  • Collaborate with senior team members and cross-functional stakeholders to translate business problems into analytical solutions
  • Communicate findings through reports, visualizations, and presentations to technical and non-technical audiences
  • Ensure compliance with regulatory requirements, data governance standards, and model transparency expectations
  • Support continuous improvement of data pipelines, analytical processes, and model performance

Requirements:ย 

  • Bachelorโ€™s degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or a related field required
  • 0โ€“3 years of experience in data analysis, data science, or a related role

Qualifications/Skills:

  • Proficiency in SQL for data extraction and manipulation
  • Experience with Python (preferred) or R for data analysis and modeling
  • Familiarity with statistical methods and machine learning techniques
  • Experience with data visualization tools (e.g., Tableau) preferred
  • Knowledge of data structures, ETL processes, and data quality practices
  • Analytical Thinking: Ability to interpret complex data and develop meaningful insights
  • Problem Solving: Applies structured approaches to solve business and analytical challenges
  • Communication: Clearly conveys technical concepts to diverse audiences
  • Collaboration: Works effectively with team members, analysts, and business stakeholders
  • Attention to Detail: Ensures accuracy and integrity of data, models, and reporting
  • Adaptability: Learns new tools, techniques, and business concepts quickly
  • Business Acumen: Understands insurance concepts such as risk, pricing, and claim

Market Range: 12 / Exempt / 40 hours per week / Hybrid - 2 days in office

Salary: $73,848 - $123,080

Accepting applications through: 9/3/26