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Data Analyst Python Sql Jobs in Massachusetts (NOW HIRING)

... 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

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 ...

Write SQL for data extraction, transformation, and reporting across Covenir's systems * Build and maintain executive-facing analytics and KPI dashboards - volumes, postage, and SLA performance by ...

Write SQL for data extraction, transformation, and reporting across Covenir's systems * Build and maintain executive-facing analytics and KPI dashboards - volumes, postage, and SLA performance by ...

Write SQL for data extraction, transformation, and reporting across Covenir's systems * Build and maintain executive-facing analytics and KPI dashboards - volumes, postage, and SLA performance by ...

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 ...

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 ...

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 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 ...

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 ...

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 ...

New

DATA ANALYST

Worcester, MA · On-site

$71K - $93K/yr

... SQL-based data sources, and other reporting tools. * Collect, analyze, and submit department ... statistical data to local, state, and federal agencies while ensuring compliance with reporting ...

... 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 ...

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 ...

Showing results 21-40

Data Analyst Python Sql information

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 cities in Massachusetts are hiring for Data Analyst Python Sql jobs?

Cities in Massachusetts with the most Data Analyst Python Sql job openings:

Infographic showing various Data Analyst Python Sql job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Financial Data Analyst

MARS Solutions Group

Boston, MA • On-site

Contractor

Re-posted 5 days ago


Job description


MARS Solutions Group is looking for an experienced Data Analyst located in Boston MA. Our client is a leading independent asset management firm looking for high-quality talent to make a difference. They are known to respect a traditional work week and often extend contracts for added job security and stability.

We are seeking a highly detail-oriented and experienced Data Analyst for a critical data transformation project. This role focuses on the migration of Benchmark (Index) and Security/Issuer Master data from a legacy system to a new data platform.

Unlike a pure engineering role, this position requires a high degree of business knowledge. The ideal candidate understands the complexities of financial reference data and can bridge the gap between technical migration and business utility. You will be responsible for ensuring the integrity of our data through rigorous cleanup, reconciliation, and UAT.

Responsibilities

  • Data Analysis & Cleanup:
    • Analyze large datasets of security and benchmark data (Equities, Fixed Income, Derivatives, Indices) to identify gaps, duplicates, and inconsistencies prior to migration.
    • Perform root-cause analysis on bad data and execute manual or bulk cleanup procedures.
    • Map data attributes between the legacy source system and the target platform, ensuring accurate translation of business logic.
  • Testing & Validation:
    • Lead the reconciliation process between the old and new platforms to ensure data parity.
    • Design and execute detailed test cases for security setup, pricing feeds, and benchmark composition.
    • Identify, log, and track data defects; work closely with the technical implementation team to resolve migration errors.
  • Business Support & Documentation:
    • Validate that the new platform meets the consumption needs of downstream systems and consumers.
    • Develop and document new processes and operational workflows.
    • Document data dictionaries, exception handling procedures, and operational controls.
    • Act as a subject matter expert (SME) for business users during the transition period.

Candidate

We are seeking a highly motivated Operations Analyst who can work independently on complex processes. The ideal candidate will have knowledge of financial products and valuation coupled with a strong background in data management, including experience with SQL, PowerApps, and Python.

Required Qualifications

  • Bachelor’s degree in Finance, Economics, or a related field
  • 5+ years of experience in Data Operations, Data Governance, or Investment Operations within an Asset Manager or Hedge Fund.
  • Deep understanding of financial instruments (Equities, Bonds, Futures, Options) and Reference Data (Issuers, Corporate Actions, Ratings, Classifications).
  • Familiarity with major index providers (e.g., MSCI, S&P, Bloomberg, FTSE) and how benchmark data is structured (constituents, weights, returns).
  • Advanced Excel proficiency (VLOOKUP, Pivot Tables) is required. Proficiency in SQL for data querying and analysis is highly preferred.

Preferred Qualifications

  • Familiarity with accounting and valuation of various asset classes including structured products and derivatives
  • Experience with Accounting and Trading Systems; APX, CRD, Bloomberg
  • Experience with major EDM (Enterprise Data Management) platforms (e.g., GoldenSource, IHS Markit/S&P EDM, SimCorp).

About MARS Solutions Group:
MARS Solutions Group provides a range of opportunities for meaningful work by understanding that employment fit is a combination of people, process, and technology. We leverage our experienced and compassionate team to bring humanity to matching you with the right advanced technology role, and stay connected with you to help you attain your professional goals.