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Python Analytics Jobs in Massachusetts (NOW HIRING)

Required : • 5+ years of experience in analytics engineering or data engineering Python and PySpark. • 5+ years of hands-on experience in using advanced SQL queries (analytical functions ...

Java, Python, R, C#, C, SAS, analytic engines, Hadoop, parallelized analytic algorithms, and NoSQL and massively parallel processing databases. The successful candidate will have the ability to ...

New

Machine Learning Engineer

Boston, MA · On-site +1

$136K - $225K/yr

Debug and resolve issues in Python applications by analyzing logs, data, and runtime behavior. Write clear, well-documented code and maintain technical documentation for ongoing development and ...

New

UI Engineer (React/Python)

Boston, MA · On-site

$113K - $151K/yr

Design and implement backend systems using Python, Ray, and databases for scalable, high ... risk analysis, or quantitative equity strategies, is a plus. Our Commitment to Inclusion ...

You are an analytics translator and champion for Global Partners. You embrace collaboration with ... Some experience in Python, R or other Object-Oriented Programming language is a great accelerator.

You'll own the analytics roadmap, our BI layer, and how the company uses data to make decisions ... Experience building predictive models, forecasting tools, or data science-adjacent products (Python ...

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Python Analytics information

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

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
What job categories do people searching Python Analytics jobs in Massachusetts look for? The top searched job categories for Python Analytics jobs in Massachusetts are:
What cities in Massachusetts are hiring for Python Analytics jobs? Cities in Massachusetts with the most Python Analytics job openings:
Infographic showing various Python Analytics job openings in Massachusetts as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Full Stack Python Engineer, Senior Associate

Full Stack Python Engineer, Senior Associate

JPMorgan Chase & Co.

Boston, MA • On-site

$133K - $185K/yr

Full-time

Medical, Retirement

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


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description


Join Us at 55ip & Help the Wealth Management Industry Move Forward
Working at 55ip, a separately branded subsidiary of J.P. Morgan, means standing at the intersection of finance and technology-and at the cutting-edge of wealth and asset management. We've been making rapid progress on our mission: to break down barriers to financial progress for financial advisors and their clients. Our Boston-, New York-, and Mumbai-based teams have built and brought to market a tax-smart investment strategy engine, portfolio trading and rebalancing, and advisor transition services, all delivered through an intuitive experience and intelligent automation. Driven by strategic partnerships with world-class wealth and asset management firms, we've experienced breakthrough growth over the last two years. Today, over 400 financial advisor firms have trusted over $100 billion in assets under supervision with 55ip.
As 55ip continues its rapid growth trajectory, we are on the path to managing over $1 trillion in assets under supervision (AUS) by 2030. This scale brings significant challenges and opportunities, including supporting exponential increases in accounts, net flows, revenue, and pre-tax income. Our technology platform must evolve to handle this growth, ensuring robust performance, reliability, and automation for tax-smart investing portfolios across diverse product mixes and client segments.
Software Engineer III
55ip's Quantitative R&D team is looking for a software engineer to help develop and grow our quant platform that provides end-to-end capabilities of a large scale historical & forward-looking simulation framework. The candidate will work with quant teams to design and implement technical solutions of quality and scale. The ideal candidate has a background in full stack software development built on cloud-native systems with exposure to building back testers, simulation engines, and large volumes of data. Candidates are motivated, problem solvers, team players, and effective developers who want to make a big impact.
Responsibilities
  • Build high-performance cloud-based web application solutions to support quantitative research capabilities: back testing, simulations, machine learning, and other advanced analytics & algorithms
  • Produce & maintain architectural & workflow diagrams.
  • Work with product managers to set team priorities and deliverables.
  • Participate in hands-on development to expedite finding resolutions.
  • Participate in agile development team practices.
  • Accountable for highest code quality, best practices, and standards.
  • Perform code reviews ensuring quality meets the highest level of standards.
  • Provide support during testing and post go-live to internal stakeholders.
  • Work closely with quantitative researchers & developers to understand business requirements
  • Collaborate with technology teams, to share common practices and develop firm-wide solutions of highest quality & scale.

Requirements
  • Proficiency in Python, Pandas, Polars, GitHub/Bit-Bucket, Jenkins, Jira, and PostgreSQL.
  • Strong experience with AWS cloud services, such as EC2, EKS, RDS, ElastiCache, S3, Lambda, Secrets Manager, CloudWatch
  • Experience with Django, Redis, and React
  • Clear understanding of OOP and software design constructs within a Python context.
  • Strong understanding and experience in all aspects of software development lifecycle
  • Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
  • 6 years of experience in relevant software development
  • Bachelor's degree (or equivalent) in Computer, Electronic or IT Engineering.
  • Excellent communication (written and oral) and presentation skills.
  • Ability to work with quant researchers, developers, and portfolio analysts to understand requirements.
  • Strong attention to detail, pride in delivering high quality work and willingness to learn

Preferred Qualifications
  • Experience with Terraform
  • AWS certifications
  • Exposure to financial capital markets data and trading applications, working with investment data
  • Experience with project workflow tools such as Jira in an Agile-Scrum environment
  • Knowledge of Linux

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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