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Python Analytics Jobs in Boston, MA (NOW HIRING)

Covetit

Data Engineer (DBT, Snowflake, Python)

Boston, MA

$124.40K - $149.40K/yr

Collaborate with data analysts, business teams, and stakeholders to understand data requirements ... Strong expertise in Python for data processing and pipeline development * Good understanding of SQL ...

Athenahealth

Manager, Analytics & Insights

Boston, MA · On-site

$99K - $167K/yr

The team partners with Product, Finance, Operations, and HR stakeholders and uses tools such as SQL, Python, Excel, BI platforms, and Snowflake to support analysis and reporting. The team values ...

Athenahealth

Manager, Analytics & Insights

Boston, MA · On-site

$133K - $227K/yr

The team partners with Product, Finance, Operations, and HR stakeholders and uses tools such as SQL, Python, Excel, BI platforms, and Snowflake to support analysis and reporting. The team values ...

ShiftCode Analytics

Data Engineer

Boston, MA

$124.40K - $149.40K/yr

Programming skills in Python for data manipulation, analysis, and modeling. * Experience with distributed computing frameworks like Spark for big data processing. * Knowledge of machine learning ...

Pwc

GenAI Python Systems Engineer-Manager

Boston, MA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Pwc

GenAI Python Systems Engineer-Director

Boston, MA

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

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How much do python analytics jobs pay per hour?

As of Jun 3, 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 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 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 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.

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

Associate Director, Data & Analytics - Strategic Analytics (Waltham)

Madrigalpharma

Waltham, MA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

A leading biopharmaceutical company in Waltham is looking for an Associate Director of Data and Analytics. In this critical role, you will lead the development of analytics solutions that support Corporate, Finance, and Supply Chain functions. The ideal candidate will have over 10 years of experience in analytics engineering within the pharmaceutical sector and strong proficiency in Python, R, and data visualization tools. You will architect scalable data solutions, drive insights, and collaborate with diverse teams to deliver high-quality outcomes. A competitive salary between $171,000 and $209,000 is offered, along with bonus and equity opportunities.
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