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Contract Python Data Analysis Jobs in Massachusetts

... data analysis, or machine learning * Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus

Staff AI Data Analytics Engineer

Wilmington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong proficiency in SQL and Python (data manipulation, analysis, automation). * Expertise in data visualization tools (e.g., Tableau, Power BI, Looker). * Experience working with large, multi ...

Staff AI Data Analytics Engineer

Wilmington, MA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong proficiency in SQL and Python (data manipulation, analysis, automation). * Expertise in data visualization tools (e.g., Tableau, Power BI, Looker). * Experience working with large, multi ...

Data Analyst

Lexington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

Data Analyst

Lexington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

Data Analyst

Lexington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

... data analysis, or machine learning * Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus

Showing results 21-40

Contract Python Data Analysis information

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Massachusetts?

The most popular types of Python Data Analysis jobs in Massachusetts are:

What are popular job titles related to Contract Python Data Analysis jobs in Massachusetts?

For Contract Python Data Analysis jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in Massachusetts look for?

The top searched job categories for Contract Python Data Analysis jobs in Massachusetts are:

What cities in Massachusetts are hiring for Contract Python Data Analysis jobs?

Cities in Massachusetts with the most Contract Python Data Analysis job openings:

Manager, Data Analytics and Insights

Fidelity Investments

Boston, MA • On-site

$120K - $141K/yr

Full-time

Re-posted 15 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services


Job description


Position Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Improves the quality and time-to-market of research initiatives for equities, fixed income, and alternative
investments, using quantitative techniques and methods -- advanced econometrics and statistics (probabilities, linear regressions, and time series data analysis). Develops analytical solutions that improve the investment process using Python, R, and SQL. Organizes and analyzes data, using SQL and Python. Performs data analysis and research via SQL and R. Identifies data issues, performs root cause analysis, and implements resolutions to improve data quality.
Primary Responsibilities:
  • Applies advanced analytics and quantitative concepts to support investment research.
  • Analyzes financial data to perform portfolio construction and alpha generation research.
  • Supports daily operations and detailed data analysis.
  • Identifies and resolves data issues, and answers helpdesk queries.
  • Works with vendors and business partners across the organization.
  • Interprets and acts on data results.
  • Brainstorms with the team on solutions to address challenges and roadblocks.
  • Processes daily operational tasks and helpdesk requests from consumers.
  • Assists in documentation and transition of new areas of work, while maintaining and updating procedural documents.
  • Proposes process enhancements.
  • Monitors the helpdesk queue and assists in logging incidents.
  • Raises issues to management as appropriate for resolution.
  • Participates in data management projects and initiatives that aim to improve data quality.
  • Assists in defining and executing test plans and supporting user acceptance testing for process enhancements.
  • Interprets results of financial analysis procedures.
  • Defines or recommends model specifications, or data collection methods.
  • Collaborates in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.

Education and Experience:
Bachelor's degree in Finance, Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Manager, Data Analytics and Insights (or closely related occupation) performing managed account data operations within a financial services environment.
Or, alternatively, Master's degree in Finance, Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Manager, Data Analytics and Insights (or closely related occupation) performing managed account data operations within a financial services environment.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") maintaining accounts and supporting financial instrument data management operations within the financial services industry, using advanced VBA, SQL, and Python; and processing tasks and exceptions through advance software to process time-sensitive workflows and resolve rule-based outlier exceptions across financial instruments -- 40 Act mutual funds, customized funds, private equity, exchange-traded funds, broader market indices, customized indices, models, composites and common stocks-- in both U.S. and international markets.
  • DE working with performance and attribution engine systems and return calculation methodologies; analyzing model and composite return data for senior management reporting; executing fund setup and integrating holdings data for 40 Act and customized funds into FactSet, Style Research, and Bloomberg; and sourcing and analyzing financial instruments returns using Morningstar and Bloomberg applications.
  • DE designing robust data analysis templates for data quality validation and conducting advanced analyses, using VBA, SQL and Python to support investments management processes; building quantitative tools to deliver actionable insights on the performance of models, composites, and managed accounts; and identifying key drivers of anomalies by generating data-driven insights using SQL and Python.
  • DE identifying anomalies in enterprise financial data, ensuring the integrity and quality required for comprehensive analysis, using advanced rule-based techniques; developing robust SQL queries to support comprehensive data analytics; and transforming and analyzing complex datasets to empower stakeholders to make informed data-driven investment decisions, using advanced VBA, SQL and Python.

Salary: $120,000.00 to $141,000.00/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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