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Python Data Analyst Jobs in Massachusetts (NOW HIRING)

MARS Solutions Group

Financial Data Analyst

Boston, MA · On-site

... Python. Required Qualifications * Bachelor's degree in Finance, Economics, or a related field * 5+ ... Proficiency in SQL for data querying and analysis is highly preferred. Preferred Qualifications

Anduril Industries

People Data Analyst

Boston, MA · On-site

$112K - $149K/yr

ABOUT THE TEAM The People Analytics team is at the forefront of transforming how we understand and ... 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

ABOUT THE TEAM The People Analytics team is at the forefront of transforming how we understand and ... Familiarity with Python or R for basic data manipulation tasks. * Familiarity with Palantir Foundry ...

Cni

Data Analyst III

Natick, MA

$95K - $120K/yr

Utilizes scripting and querying tools like Python, R, or SQL, data visualization/BI tools ... analyses, and optimizing performance for large datasets. Familiarity with Stata is preferred.

Gupta Media Holdings LLC

Data Analyst I

Boston, MA · On-site

$70K - $85K/yr

We are on the hunt for a talented Data Analyst I to join our Strategy & Analytics team to assist ... Experience with Marketing APIs, BigQuery, Snowflake, ETL tools (Rivery, Supermetrics), or Python is ...

Gupta Media

Data Analyst I

Boston, MA · On-site

$70K - $85K/yr

We are on the hunt for a talented Data Analyst I to join our Strategy & Analytics team to assist ... Experience with Marketing APIs, BigQuery, Snowflake, ETL tools (Rivery, Supermetrics), or Python is ...

Lazard, Inc.

Quantitative Data Analyst

Boston, MA · On-site

$90K - $150K/yr

Write Python scripts, pipelines, and utilities (using pandas, NumPy, and related libraries) to ... Strong analytical and debugging mindset; able to diagnose data inconsistencies systematically and ...

Lazard, Inc.

Quantitative Data Analyst

Boston, MA · On-site

$90K - $150K/yr

Write Python scripts, pipelines, and utilities (using pandas, NumPy, and related libraries) to ... Strong analytical and debugging mindset; able to diagnose data inconsistencies systematically and ...

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Python Data Analyst information

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python data analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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For Python Data Analyst jobs in Massachusetts, the most frequently searched job titles are:

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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Financial Data Analyst

MARS Solutions Group

Boston, MA • On-site

Contractor

Re-posted 8 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.