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

HDS Senior Data Analyst

Somerville, MA · On-site

$93K - $118K/yr

The role requires strong expertise in Snowflake SQL, Python, and R, with an emphasis on reproducible, well-documented analytical workflows. In addition, the Senior Data Analyst will serve as a ...

HDS Senior Data Analyst

Somerville, MA · On-site

$93K - $118K/yr

The role requires strong expertise in Snowflake SQL, Python, and R, with an emphasis on reproducible, well-documented analytical workflows. In addition, the Senior Data Analyst will serve as a ...

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify opportunities, optimize key metrics, and measure performance across the organization. This is a ...

Senior Data Analyst

Dedham, MA · Hybrid

$95K - $115K/yr

As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify opportunities, optimize key metrics, and measure performance across the organization. This is a ...

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify opportunities, optimize key metrics, and measure performance across the organization. This is a ...

Python / Smartsheet Developer

Danvers, MA · On-site

$53.25 - $73.25/hr

... Analyst with strong experience querying large enterprise databases, building data pipelines ... SQL (intermediate+): comfortable across Oracle, Teradata, or BigQuery; understands joins ...

Data Analyst

Natick, MA · On-site

$70 - $90/hr

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology ... Experience using Python, MATLAB, SQL, Power BI, Tableau, or similar analytical tools. * Experience ...

... using python, MATLAB, R, Julia, SQL, or other data analysis tools. • Ability to work independently, manage multiple priorities, and learn new technologies with minimal supervision. • Strong ...

Experience analyzing large datasets using python, MATLAB, R, Julia, SQL, or other data analysis tools. * Ability to work independently, manage multiple priorities, and learn new technologies with ...

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

Data Analyst (Health care Domain) Location: Canton, MA - 100% Remote Position Overview Hiring for ... Develop and optimize advanced SQL and PL/SQL queries. * Support ETL processes, data integrations ...

Safety Data Analyst

Boston, MA · On-site

$36 - $41/hr

SQL. * R. * Python. * Root Cause Analysis. Qualification And Education: * A bachelor's degree; an associate degree or high school diploma or GED with equivalent experience may be a substitute for a ...

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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 27, 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.

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 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:

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.

Software Engineer - Data Engineering Platform (Python _ SQL _ PostGIS

Woodmac

Boston, MA • On-site

$120 - $170/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role Purpose

The Software Engineer will join the team responsible for the core data platform supporting valuation and analytics products. The platform ingests, processes and maintains large-scale geospatial and energy datasets used across oil and gas, renewables, electrical infrastructure, carbon and land intelligence. This is a backend data engineering position focused on Python, PostgreSQL/PostGIS and Linux. The role will design, develop and maintain data pipelines, spatial data processes and data-quality controls that provide reliable information to downstream products and users. It is not primarily an application or front‑end development role.

Main Responsibilities
  • Design, develop, test and maintain Python-based ETL pipelines for large geospatial and energy datasets.
  • Build and optimise PostgreSQL/PostGIS schemas, SQL queries and spatial data workflows.
  • Develop automated processes for data ingestion, validation, transformation and promotion.
  • Monitor data quality and investigate issues affecting the accuracy, completeness or reliability of data products.
  • Maintain Linux-based data-processing environments, scheduled jobs and automation tooling.
  • Support data engineering across energy infrastructure, land, oil and gas, renewables and carbon datasets.
  • Collaborate with product, GIS and data science colleagues to understand requirements and deliver reliable data products.
  • Diagnose pipeline, database and processing issues, implementing maintainable solutions.
  • Contribute to documentation, engineering practices and the continuous improvement of data-platform processes.
About YouEssential experience and capabilities
  • Practical software development experience using Python.
  • Advanced working knowledge of PostgreSQL and SQL, including database design and query-performance optimisation.
  • Experience using PostGIS or comparable geospatial database technologies.
  • Experience building and maintaining ETL or data-engineering pipelines.
  • Experience processing large or complex datasets.
  • Experience implementing validation and data-quality controls.
  • Working knowledge of Linux administration, scripting and automation.
  • Effective analytical, diagnostic and problem-solving skills.
  • Ability to communicate technical information clearly and work collaboratively across disciplines.
Desirable experience
  • Elasticsearch.
  • AWS services, particularly Amazon S3.
  • TypeScript, Node.js or REST API development.
  • GIS formats such as Shapefile and GeoJSON.
  • Spatial indexing or geospatial analytics.
  • Data modelling, machine learning or statistical analysis.
  • Energy, land, mineral rights, oil and gas, renewables, electrical-grid or carbon/CCUS datasets.

We recognise that experience can be gained in different ways.

Working Arrangements

We are a hybrid working company and the successful applicant will normally be expected to be physically present in the office at least two days per week to foster and contribute to a collaborative environment. Remote working arrangements will also be considered for this role, subject to the applicable approval process. Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones. Any out-of-hours collaboration should be planned proportionately and shared fairly across the team.

Equal Opportunities

We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov

If you like wild growth and working with happy, enthusiastic over‑achievers, you'll enjoy your career with us!

Our Work Experience

Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people.

Our employees are self‑disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

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