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

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 ...

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

$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 ...

Gupta Media Holdings LLC

Data Analyst I

Boston, MA · On-site

$70K - $85K/yr

You bring a strong technical toolkit, including SQL, Excel, Google Data Studio/Data Visualization ... Experience with Marketing APIs, BigQuery, Snowflake, ETL tools (Rivery, Supermetrics), or Python is ...

New

Gupta Media

Data Analyst I

Boston, MA

$70K - $85K/yr

You bring a strong technical toolkit, including SQL, Excel, Google Data Studio/Data Visualization ... Experience with Marketing APIs, BigQuery, Snowflake, ETL tools (Rivery, Supermetrics), or Python is ...

New

ERG

Transportation Data Scientist

Boston, MA

$72K - $92K/yr

ERG's Clean Transportation Group is seeking a Transportation Data Scientist to join our dynamic ... Analyze large transportation activity and emissions datasets using Python, SQL, and R and other ...

Posted today

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 ...

RevSpring

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 ...

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 ...

Conch Technologies Inc

Business Data Analyst

Quincy, MA · On-site

Business Data Analyst w/d Databricks Exp Location: Quincy, MA - 5 Days onsite role Duration: 12 ... Dashboarding & SQL proficiency: Hands-on experience with Tableau/Power BI and advanced SQL for data ...

Dhalite Inc.

Junior Data Analyst

Boston, MA · On-site

Extract and manipulate data from databases using basic SQL * Maintain data accuracy and ensure data ... Document data analysis processes, methodologies, and findings * Collaborate with analysts ...

Athari

Data Scientist

Lexington, MA · Hybrid

$75 - $100/hr

Must Have Data/Reporting Data Analysis 5 years R, Python, SQL, and Machine Language Algorithms and Data Analysis. 5 years Degree Level Bachelor's Degree Yes Experience Currently holds a Secret ...

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Data Analyst Python Sql information

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$37K

$89.9K

$147.9K

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

As of Aug 14, 2026, the average yearly pay for data analyst python sql in Charlestown, MA is $89,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $105,500.00 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 Charlestown, MA look for?

The top searched job categories for Data Analyst Python Sql jobs in Charlestown, MA are:

What cities near Charlestown, MA are hiring for Data Analyst Python Sql jobs?

Cities near Charlestown, MA with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you

Senior Manager, Data Analytics and Insights

Fidelity Investments

Boston, MA • On-site

$131K - $166K/yr

Full-time

Posted 2 days ago

New

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:
Analyzes and builds equity datasets and analytical outputs used across quantitative research, risk modeling, and performance attribution. Calculates and applies a broad range of equity analytics, including portfolio risk, return attribution, EPS, fundamental ratings, and fundamental equity factors, across granular and aggregated analytical layers. Maintains complex SQL-based transformations, analytical datasets, and factor-model components that serve as foundational inputs to quantitative research and performance attribution algorithms. Develops diagnostic routines, data-profiling scripts, and integrity checks to monitor computational accuracy, detect anomalies, and ensure deterministic analytical outputs across distributed systems. Implements and evolves data domains, model enhancements, and analytical capabilities by architecting ingestion frameworks, integrating vendor datasets, and optimizing storage and computer environments for high-volume model execution.
Primary Responsibilities:
  • Performs end-to-end reporting and analytics operations, ensuring timely, accurate, and reliable delivery of daily, weekly, monthly, and ad-hoc analytical outputs across key business areas.
  • Ensures data availability, quality, and process stability, monitoring inputs, workflows, and analytical outputs to maintain high standards of data integrity and reporting accuracy.
  • Responds to complex, ad-hoc analytical requests, providing data-driven insights and support for strategic initiatives, research projects, and leadership priorities.
  • Develops and enhances analytical tools, dashboards, and visualizations to communicate trends, business drivers, and performance insights to a wide range of stakeholders.
  • Designs, improves, and automates data and analytical processes, including developing new calculations, identifying data anomalies, and creating new reporting capabilities.
  • Participates in multiple concurrent projects, assists with planning, prioritization, resource co-ordination, risk assessment, and timely delivery in a fast-paced environment.
  • Acts as a primary liaison across business partners, technology teams, research groups, and external vendors, ensuring alignment and clear communication throughout the analytics ecosystem.
  • Troubleshoots and resolves data or technology issues, ensuring continuity in analytical pro-duction and delivery of high-quality outputs.
  • Provides analytical and technical guidance to senior leadership, contributing to strategic planning materials, prototypes, and recommendations.
  • Mentors and develops junior team members.

Education and Experience:
Bachelor's degree in Finance, Economics, Business Analytics, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) performing portfolio risk, return attribution, and equity and data analytics.
Or, alternatively, Master's degree in Finance, Economics, Business Analytics, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) performing portfolio risk, return attribution, and equity and data analytics.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise (DE) performing quantitative investment research and financial data analysis, including constructing and analyzing security- and portfolio-level datasets; and analyzes and structures earnings-per-share estimates, and analyst forecasts, returns, and active weights, using Python, R, and SQL.
  • DE conducting portfolio performance attribution and risk analysis, including Brinson attribution, decomposition of portfolio returns, evaluation of benchmark-relative performance, analysis of factor exposures and sensitivities, and measurement of portfolio-level risk metrics (tracking error and beta), using Python, SQL, FactSet Portfolio Analysis Tool, and Barra Portfolio Manager.
  • DE designing, developing, and implementing advanced analytical tools, data pipelines, and multi-factor models to support stock selections and investment decision making, including data modeling, automation of recurring calculations, validation of inputs and outputs, and building interactive dashboards and visualizations using Python, SQL, Tableau, and Excel.
  • DE sourcing, validating, and integrating market, fundamental, and reference data to support in-vestment and risk analysis, including working with equity and portfolio datasets, reconciling vendor data, and ensuring data quality and consistency using Bloomberg and FactSet platforms.

Salary: $131,225.00 to $166,000.00/year.
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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:
Business 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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