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

Anduril Industries

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 ...

Anduril Industries

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 ...

MARS Solutions Group

Financial Data Analyst

Boston, MA · On-site

... 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

Epitec

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 ...

CGI Inc.

Data Analyst

Canton, MA · On-site

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 ...

GMO

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 ...

GMO

Data Platform Analyst

Boston, MA · Hybrid

$80/hr

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 ...

GMO

Data Platform Analyst

Boston, MA · On-site

$80/hr

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 ...

Judge Group, Inc.

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

TriOptus LLC

Python Full Stack Developer

Boston, MA · On-site

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 ...

Forward Financing

Senior Data Analyst

Boston, MA · On-site

$114K - $144K/yr

Work with Tableau and SQL to build customized dashboards, visual analyses, and self-serve tools for ... Experience using DBT, Git, and Python. Compensation: Annual Targeted Salary: $114,000 - $144,000 ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

... 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 ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA

... 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 ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Quincy, MA

Data Analyst Python Sql information

See Quincy, MA salary details

$35.8K

$86.9K

$143K

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

As of Aug 9, 2026, the average yearly pay for data analyst python sql in Quincy, MA is $86,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 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 Quincy, MA look for? The top searched job categories for Data Analyst Python Sql jobs in Quincy, MA are:
What cities near Quincy, MA are hiring for Data Analyst Python Sql jobs? Cities near Quincy, 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 Quincy, MA as of June 2026, with employment types broken down into 2% Internship, 76% Full Time, 18% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $86,893 per year, or $41.8 per hour.

Manager, Quant Data Analytics and Insights

Fidelity Investments

Boston, MA • On-site

$126K - $141K/yr

Full-time

Posted 11 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
Position Description:
Develops and maintains technical infrastructure to support quantitative research and investment processes across fixed income and equity Environmental, Social, and Governance (ESG) models. Implements robust model validation frameworks, builds scalable data pipelines, and delivers advanced analytics and visualization tools. Maintains version control and CI/CD workflows using GitHub and Jira. Schedules production jobs using Autosys. Contributes to the integration of non-traditional and unstructured data sources and applies statistical and time-series techniques to ensure model accuracy and robustness. Supports quantitative research initiatives through tooling, automation, and governance enhancements.
Primary Responsibilities:
  • Validates complex quantitative ESG models for fixed income and equity portfolios by systematically verifying research code logic.
  • Performs sustainable investing research including model construction, factor definitions, factor calculations, and translates output statistics into meaningful information.
  • Designs and develops interactive dashboards for ESG model performance and portfolio analytics.
  • Performs schema mapping and onboarding of multi-asset ESG datasets to validate alignment with quantitative model requirements and ensure consistency across diverse data sources.
  • Processes and integrates raw vendor feeds and Application Programming Interface (API) outputs for ESG ratings, sustainable investment strategies, market data, and factor exposures, delivering standardized, model-ready datasets optimized for downstream analytics and portfolio construction.
  • Responds to ad-hoc requests for data analysis, back-testing, and visualization in support of quantitative research projects.
  • Performs daily, weekly, and monthly production reporting cycles across analytic environments.
  • Ensures all required input data is available, processes run successfully, statistical output is accurate, and reports are generated properly.
  • Reports results of statistical analyses, including information in the form of graphs, charts, and tables.
  • Determines whether statistical methods are appropriate, based on user needs or research questions of interest.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Quantitative Economics, Mathematics, Mathematical Finance, Financial Technology, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Manager, Quant Data Analytics and Insights (or closely related occupation) performing data engineering and quantitative model deployment by building and validating end-to-end ESG solutions using Python, Snowflake, Oracle, GitHub, and FactSet in a financial services industry.
Or, alternatively, Master's degree in Computer Science, Engineering, Quantitative Economics, Mathematics, Mathematical Finance, Financial Technology, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Manager, Quant Data Analytics and Insights (or closely related occupation) performing data engineering and quantitative model deployment by building and validating end-to-end ESG solutions using Python, Snowflake, Oracle, GitHub, and FactSet in a financial services industry.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") performing quantitative ESG model validation by applying ESG scoring methodology and equity/fixed income factor using Python and SQL; performing back-testing and sensitivity analysis to implement algorithmic improvements and enhance model robustness using Python, SQL, Snowflake, and Oracle; and performing model development lifecycle support and CI/CD workflow maintenance using GitHub and Jira.
  • DE performing data extraction and integration for quantitative ESG models by assessing, processing, and documenting data relationships, definitions, and schema structures across relational and cloud-based data environments using SQL, Snowflake, Oracle, Python, and FactSet; and processing and integrating API outputs and vendor feeds from sources including Morgan Stanley Capital International (MSCI) to deliver clean, model-ready datasets using Python and SQL.
  • DE designing and developing interactive analytical dashboards and data visualization solutions for ESG models to evaluate model performance and support portfolio construction decisions, using Python, Streamlit, Plotly, Matplotlib, and Seaborn.
  • DE designing and deploying a systematic framework for integrity testing across Snowflake and Oracle environments using Python, SQL, Excel, and VBA; and applying advanced analytics to validate historical data accuracy for quantitative modeling and production using Python, and SQL, including performing outlier detection and time-series analysis.

Salary: $126,000.00 to $141,000.00/year.
#PE1M2
#LI-DNI
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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