ZipRecruiter

Log In

1

Python Analytics Jobs in Boston, MA (NOW HIRING)

Rockstar Games

Senior Analytics Engineer

Andover, MA · On-site

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 ...

Global Partners LP

Analytics Engineer

Waltham, MA · On-site

$118K - $177K/yr

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.

Later

Director, Data and Analytics

Boston, MA · On-site

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 ...

Global Partners

Analytics Engineer

Waltham, MA

$118K - $177K/yr

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.

Later

Director, Data and Analytics

Boston, MA

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 ...

CarGurus

Business Analytics Analyst

Boston, MA · On-site

$114K - $127K/yr

Data modeling; dbt, SQL, Python, Snowflake, and/or AWS; Business intelligence reporting and strategic analysis; Process automation and scripting; Data analysis, visualization techniques, and ...

CVS Health

Manager, Payer Insights & Analytics

Boston, MA · On-site

$66K - $145K/yr

Query and analyze large datasets using SQL, Python, and similar tools * Build and maintain summary data layers to support reporting and analysis * Identify data gaps and partner with data strategy ...

Barings

Portfolio Analytics, Senior Associate

Boston, MA · On-site

$90K - $105K/yr

Strong knowledge of and experience with analytic tools and programming languages (Python/R, and SQL with VBA a plus). * Excellent command and proficiency of MS excel. * Strong analytical and problem ...

next page

Showing results 1-20

All JobsPython Analytics JobsPython Analytics Jobs in Boston, MA

Python Analytics information

See Boston, MA salary details

$14

$63

$93

How much do python analytics jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for python analytics in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 per hour, depending on experience, location, and employer.

What is the salary of a Python analyst?

The salary of a Python analyst typically ranges from $60,000 to $110,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and Jupyter Notebook tend to earn higher salaries.

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.

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.

Can I be a data analyst in 3 months?

Becoming a data analyst with a focus on Python typically requires several months of dedicated learning, including skills in data manipulation, visualization, and tools like pandas and SQL. While some individuals may acquire foundational skills in three months, gaining proficiency for a professional role usually takes longer and depends on prior experience and learning pace.

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 still in demand?

Python analytics roles remain highly in demand due to Python's versatility in data analysis, machine learning, and automation. Employers seek professionals skilled in libraries like Pandas, NumPy, and frameworks such as TensorFlow, often requiring proficiency in data visualization and scripting. Staying updated with Python versions and related tools enhances job prospects in this field.

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 are popular job titles related to Python Analytics jobs in Boston, MA? For Python Analytics jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Boston, MA look for? The top searched job categories for Python Analytics jobs in Boston, MA are:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Boston, MA as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $132,468 per year, or $63.7 per hour.

Consultant, Sales Analytics

Trinity Life Sciences

Waltham, MA • On-site

Full-time

Posted 28 days ago

Job description

We're committed to bringing passion and customer focus to the business.
Position Summary
We are seeking a talented and motivated individual to join our Commercial Analytics team as a Consultant. In this role, you will be an integral member of project teams, supporting the development of quantitative analyses and delivering high-quality, client-ready insights. You will collaborate closely with senior team members to address key business questions, contribute to analytical problem-solving, and develop presentations for client engagements.
This role offers the opportunity to work across multiple projects and gain exposure to a range of commercial analytics topics while building core consulting and analytical capabilities in a fast-paced, team-oriented environment.
Essential Functions
  • Support projects focused on sales team design, performance reporting, incentive compensation, and broader commercial analytics initiatives
  • Develop quantitative models and analytical tools (e.g., sales force sizing, segmentation, targeting, and performance tracking) to support key business decisions
  • Analyze data and generate actionable insights related to brand performance, promotion effectiveness, and field team strategy
  • Create high-quality, client-ready presentations and clearly communicate methodologies, findings, and recommendations
  • Support client engagements by enhancing and maintaining analytical tools and deliverables, and contributing to key project workstreams
  • Collaborate with cross-functional teams, including Strategy, Insights, and other Analytics groups, to deliver integrated solutions
  • Contribute to the development of best practices, reusable modules, and scalable solutions to strengthen Trinity's offerings
  • Participate in client interactions, including supporting senior team members in meetings and presentations
  • Maintain proactive communication with project teams to ensure alignment and timely delivery of milestones

Qualifications
Education: BS, MS, or MBA in a scientific, quantitative, business, or related field
Work Experience: 2-4 years of experience in sales analytics, sales operations, forecasting, marketing analytics, or a related area. Experience working with life sciences or healthcare data is preferred
Technical Skills:
Advanced proficiency in Excel (required)
Experience with business intelligence tools (e.g., Tableau, Power BI, Qlik) preferred
Familiarity with programming languages (e.g., SQL, Python, VBA) is a plus
Exposure to AI-enabled productivity tools is a plus
Domain Experience (Preferred): Exposure to commercial analytics topics such as field force sizing and structure, segmentation, targeting, incentive compensation design, or forecasting
Other Skills:
  • Strong written and verbal communication skills, with the ability to translate complex analyses into clear insights
  • Demonstrated problem-solving and analytical skills with strong attention to detail
  • Ability to work both independently and collaboratively in team-based environments
  • Proven ability to manage multiple workstreams in a fast-paced, deadline-driven setting
  • Strong stakeholder communication and organizational skills
  • Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint
  • Interest in the life sciences industry and commercialization strategy

What You will Gain:
  • Exposure to leading pharmaceutical, biotech, and medtech clients
  • Hands-on experience with core commercial analytics methodologies (e.g., segmentation, field force planning, incentive design)
  • Opportunities to develop structured problem-solving and data-driven decision-making skills
  • A collaborative, team-oriented environment with mentorship from experienced consultants and leaders
  • Career growth opportunities within a rapidly evolving analytics and consulting landscape

About Trinity
Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey-from pre-launch to scale to loss of exclusivity. For more than 30 years, the world's leading pharmaceutical, biotech, and medtech companies have relied on Trinity's foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com.
Trinity's salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. A reasonable estimate of the current salary range is a minimum of $110,000. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.
Trinity's Commitment to Inclusion & Engagement (I&E)
Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals. At Trinity, inclusion and engagement are at the heart of how we work and grow together. We've evolved from a traditional "DEI" framework to Inclusion & Engagement (I&E)-a model that moves beyond representation to focus on connection, collaboration, and shared purpose. Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully. By embedding I&E principles into our culture, we ensure that belonging and engagement are not standalone initiatives-they are part of how we build teams, make decisions, and deliver excellence every day. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities. For more information about Trinity's commitment to Inclusion and Engagement please visit Inclusion & Engagement | Culture of Belonging at Trinity Life Sciences.

Apply