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Data Analyst Python Sql Jobs in Pittsfield, MA (NOW HIRING)

New York State

Data Analyst 2 - VID 218847

Albany, NY · On-site

$86K - $109K/yr

Compile ad-hoc data analyses within assigned business units and provide data and information to ... Experience in SQL querying and scripting languages (Python, R, etc.). Experience with data ...

Donato Technologies, Inc

Sr. Data Analyst

Albany, NY · Remote

$55 - $58/hr

Need python, Tableau, and modeling along with business analyst capabilities. Required Skills: • Advanced Excel proficiency (can own heavy, manual data work). • Solid Tableau experience for ...

StateJobsNY

Data Analyst 2 - VID 218847

Albany, NY · On-site

$86K - $109K/yr

... analyses within assigned business units and provide data and information to management for ... in SQL querying and scripting languages (Python, R, etc.). • Experience with data warehousing ...

Transcend Business Solutions

Be Seen First

Senior Data Engineer

Albany, NY · Remote

$45 - $55/hr

Expert-level skills in Python, SQL databases such as PostgreSQL, and big data technologies such as ... in an analytic role. • MS Degree in management information systems, computer programming ...

Innovcentric LLC

Business Analyst

Albany, NY · On-site

$60/hr

Experience in analyzing and interpreting data using Power BI, Excel, SQL, Python. Experience in public sector law firm. Experience in communicating with stakeholders. Master's in data science ...

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Data Analyst Python Sql information

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$38K

$92.3K

$151.8K

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

As of Jul 11, 2026, the average yearly pay for data analyst python sql in Pittsfield, MA is $92,253.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $108,300.00 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 Pittsfield, MA look for? The top searched job categories for Data Analyst Python Sql jobs in Pittsfield, MA are:
What cities near Pittsfield, MA are hiring for Data Analyst Python Sql jobs? Cities near Pittsfield, MA 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 Pittsfield, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,253 per year, or $44.4 per hour.
Data Analyst

Data Analyst

Indotronix International Corporation

Albany, NY • On-site

$107 - $117/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Analyst | Albany, New York, United States
Location: Albany, NY - Hybrid - Resource is expected to be onsite 2 days per week
Key Responsibilities:
  • Data Analysis & SQL Development
  • Write, optimize, and maintain SQL queries for reporting and analysis
  • Collect, clean, and analyze structured and unstructured data
  • Perform data validation, reconciliation, and quality assurance
  • Develop reports, dashboards, and visualizations using tools such as Excel or Tableau
  • Translate analytical findings into business insights and requirements
  • Document analytical approaches, assumptions, data sources, logic, and analytical methodologies
  • Support both technical and non-technical stakeholders in understanding data outputs
  • Align business needs with data solutions and reporting capabilities

Required Qualifications:
  • Bachelor's degree in Business, Information Systems, Data Analytics, Public Administration, or related field
  • 3-7+ years of relevant experience in business analysis, data analysis, or related roles
  • Strong analytical, problem-solving, and critical thinking skills
  • Experience gathering and documenting requirements and processes
  • Proficiency in SQL and data analysis tools (e.g., Excel, Power BI, Tableau)
  • Excellent written and verbal communication skills
  • Ability to manage multiple priorities in a client-facing environment

Preferred Qualifications:
  • Experience working in healthcare, pharmacy programs, Medicaid, Long-Term Care (LTC), or EVV environments
  • Experience developing SOPs and operational documentation
  • Knowledge of data governance, data modeling, or ETL processes
  • Relevant certifications (CBAP, PMI-PBA, PMP, or data analytics certifications)
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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