1

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

People Data Analyst

Boston, MA · On-site

$112K - $149K/yr

You'll write the SQL, maintain the dashboards, run audits, and fulfill the ad hoc requests that ... Familiarity with Python or R for basic data manipulation tasks. * Familiarity with Palantir Foundry ...

People Data Analyst

Boston, MA · On-site

$112K - $149K/yr

You'll write the SQL, maintain the dashboards, run audits, and fulfill the ad hoc requests that ... Familiarity with Python or R for basic data manipulation tasks. * Familiarity with Palantir Foundry ...

... SQL, PowerApps, and Python. Required Qualifications * Bachelor's degree in Finance, Economics, or a ... Proficiency in SQL for data querying and analysis is highly preferred. Preferred Qualifications

Data Platform Analyst

Boston, MA · Hybrid

$155K - $170K/yr

Analyze data in multiple databases and use a combination of vendor toolsets, Python, SQL, and Excel to develop recommendations to improve data quality * Support the design, governance, and ...

Technical Data Analyst

Boston, MA · On-site

$60 - $65/hr

Proficiency in writing SQL and scripting (e.g., Python, PowerShell, or similar) to automate data ... Reporting & Analytics * Experience developing interactive dashboards and reports using Tableau and ...

Analyze data in multiple databases and use a combination of vendor toolsets, Python, SQL, and Excel to develop recommendations to improve data quality * Support the design, governance, and ...

Data Analyst Category: Business Analysis (functional and technical) Main location: United States ... Independently develop SAS and/or SQL queries, Excel pivot tables, and other analytic tools to ...

Analyze data in multiple databases and use a combination of vendor toolsets, Python, SQL, and Excel to develop recommendations to improve data quality * Support the design, governance, and ...

Technical Data Analyst

Boston, MA · On-site

$55 - $60/hr

Proficiency in SQL and scripting (Python, PowerShell, or similar) for automation * Experience ... Ability to analyze data quality metrics and communicate findings via dashboards and reports

Candidates will work closely with risk analysts and investment teams, but your primary focus will ... Strong SQL skills required with a familiarity of financial data platforms (such as Bloomberg ...

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Technical staff employ computing environments such as MATLAB, Python, or Julia to create ...

Senior Data Engineer - Analytics

Boston, MA · On-site

$115K - $156K/yr

RevSpring is seeking a Senior Data Engineer - Analytics to collaborate with internal teams in ... as Python, SQL, Airflow, DBT, S3, Airbyte, Confluent. • Experience creating and maintaining ...

Data Scientist - FCRM

Boston, MA · On-site

$96K - $155K/yr

Analytics, Insights, & Artificial Intelligence ATTN: This role is not eligible for TD work visa ... Prior experience and expertise with machine learning, Microsoft Azure, Python, SQL, and Databricks ...

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Technical staff employ computing environments such as MATLAB, Python, or Julia to create ...

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Technical staff employ computing environments such as MATLAB, Python, or Julia to create ...

Showing results 21-40

Data Analyst Python Sql information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

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

As of Aug 12, 2026, the average yearly pay for data analyst python sql in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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 Boston, MA look for? The top searched job categories for Data Analyst Python Sql jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Analyst Python Sql jobs? Cities near Boston, MA with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Re-posted 9 days ago


Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fields—who are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis 
  • Assist in organizing, cleaning, and validating data for reporting and modeling 
  • Build and maintain spreadsheets and simple analytical models in Excel 
  • Support development of reports, dashboards, and visualizations 
  • Identify patterns, inconsistencies, or trends in data 
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) 
  • Collaborate with team members on data, finance, and technology-related tasks 
  • Apply quantitative or analytical approaches from coursework to practical business problems 
Required Qualifications
  • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline) 
  • Strong problem-solving and analytical thinking skills 
  • Familiarity with: 
    • Microsoft Excel (formulas, basic functions) 
    • Microsoft Office (Word, PowerPoint) 
  • Comfort working with numbers and structured data 
  • Strong attention to detail and willingness to learn 
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects 
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables) 
  • Introductory knowledge of statistics, probability, or data analysis 
  • Interest in financial markets, data analytics, or fintech 
  • Coursework or projects involving: 
    • Data analysis or visualization
  • Mathematical modeling 
  • Machine learning (introductory) 
  • Computational or applied problem-solving 
What You’ll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment 
  • Exposure to financial data, analytics workflows, and decision-making processes 
  • Opportunity to build foundational data and modeling skills 
  • Mentorship and professional development 
  • Insight into career paths in quantitative finance, data science, and analytics 
Internship Details
  • Summer 2026, with possible extension