1

Python Data Analysis Jobs in Boston, MA (NOW HIRING)

Building of GenAI and AI solutions, including but not limited to analytical model development and ... Proficient in programming using Python and SQL. * Master's degree or PhD degree in quantitative ...

Job Title - Data Analyst Location - Boston,MA Duration: Long term Job Type: Contract Must Have: SQL Tableau Python Relational Databases

Data Engineering Intern

Waltham, MA · On-site

$16.03 - $20.46/hr

Work with the Data engineering team to design, develop, and maintain data pipelines in cloud - native platforms using technologies like Python, AWS, Snowflake, Docker * Collaborate with analytics ...

This will include a mix of business analytics, analytics engineering, and data science using SQL and Python. This role is about using data to make our company better across all areas of the business ...

Business Data Analyst

Cambridge, MA · On-site +1

$75K - $90K/yr

This will include a mix of business analytics, analytics engineering, and data science using SQL and Python. This role is about using data to make our company better across all areas of the business ...

Experience with statistical and timeseries data analysis using pythonic libraries (such as Scikit ... Strong Python, SQL and experience using Agentic Programming tools (Github Copilot, Claude) required.

Proven relevant experience in data analytics (does not need to be in bioinformatic field). * Proficiency in Python for numerical/statistical programming including Numpy, Pandas and standard machine ...

Qualifications Education Bachelor's Degree Analysis required or Bachelor's Degree Related Field of ... Strong programming skills in python, and experience with at least one more programming language (e ...

Looker, Tableau), SQL/Python & data processing applications (e.g. Snowflake) * Passionate for problem solving, innovation, and strong analytical skills * Agile, pragmatic, and able to adapt approach ...

Data Engineer

Boston, MA · Hybrid

$150K - $250K/yr

You'll work with SQL, Python, DBT, and modern data pipeline tools to power a single source of truth ... Leveraging GPT-based technologies for data analysis, anomaly detection, and coding assistance to ...

next page

Showing results 1-20

Python Data Analysis information

See Boston, MA salary details

$14

$63

$93

How much do python data analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for python data analysis in Boston, MA is $63.68, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.31 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
What are the most commonly searched types of Python Data Analysis jobs in Boston, MA? The most popular types of Python Data Analysis jobs in Boston, MA are:
What are popular job titles related to Python Data Analysis jobs in Boston, MA? For Python Data Analysis jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Boston, MA look for? The top searched job categories for Python Data Analysis jobs in Boston, MA are:
What cities near Boston, MA are hiring for Python Data Analysis jobs? Cities near Boston, MA with the most Python Data Analysis job openings:
Infographic showing various Python Data Analysis job openings in Boston, MA as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $132,451 per year, or $63.7 per hour.

Data Governance & Data Analytics Specialist

Capgemini Holding Inc

Bridgewater, MA • On-site

$86K - $203K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Locations TX,IL,GA,NY,NJ,TN About the job you're considering Your Role * Design, implement, and maintain enterprise data governance models, policies, standards, and operating procedures in alignment with DAMA or similar frameworks.

* Support the definition and management of critical data elements, business glossaries, metadata, data lineage, and data ownership/stewardship models. * Configure, manage, and optimize data governance tools such as Collibra (preferred) or Informatica to support governance workflows and controls. * Ensure adherence to governance standards related to data quality, data privacy, and regulatory requirements.

* Perform data analysis using SQL, Python, and at least one Business Intelligence (BI) tool to support reporting, insights, and governance metrics. * Work with data on at least one hyperscale platform (Azure, AWS, or GCP), supporting modern cloud-based data ecosystems. * Partners with engineering, analytics, and business teams to validate data usage, ensure data quality, and resolve data issues.

* Develop and maintain process models and process maps to document governance workflows, data lifecycle processes, and operating procedures. * Identify opportunities to streamline data governance processes and improve adoption across the enterprise. * Facilitate governance workshops and working sessions with stakeholders to define and document processes.

* Leverage AI capabilities (e.g., Copilot, Claude, or other AI tools) to automate or accelerate governance, documentation, analysis, and reporting activities. * Design or enable AI-driven agents to perform recurring governance and analytics services efficiently. * Stay current with emerging AI capabilities and apply them pragmatically within data governance and analytics contexts.

* Serve as a trusted advisor to business and technical stakeholders on data governance best practices. * Effectively communicate complex data and governance concepts to diverse audiences. * Facilitate discussions, working sessions, and decision-making forums related to data governance initiatives.

Required Qualifications * Strong understanding of data governance models, frameworks, and processes (DAMA preferred). * Hands-on experience with at least one data governance tool, preferably Collibra; experience with Informatica or similar tools is acceptable. * Proven data analysis skills using: * SQL * Python * At least one BI tool (e.g., Power BI, Tableau, Looker) * At least one hyperscaler environment (Azure, AWS, or GCP) * Experience creating process models and process maps.

* Strong communication, facilitation, and collaboration skills. * Demonstrated ability to apply AI tools and agents to enhance productivity and service delivery. * Prior experience in enterprise-scale data governance implementations.

* Familiarity with metadata management, data quality frameworks, and lineage concepts. * Experience supporting regulated or complex enterprise environments. * Exposure to change management and governance adoption strategies.

Key Competencies * Data Governance Expertise * Analytical Thinking & Problem Solving * Process Design & Optimization * AI-Enabled Productivity * Stakeholder Communication * Collaboration Across Business and Technology Teams The base compensation range for this role in the posted location is: $86,000 to $203,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting.

This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.

In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: * Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave * Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) * Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) * Life and disability insurance * Employee assistance programs * Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment.

All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed.

Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.

It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.