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Python Analytics Jobs in Boston, MA (NOW HIRING)

Cloud Engineer(Python) Location: Boston, MA/Merrimack, NH/Durham, NC/Westlake, TX Duration ... root cause analysis, and be decisive under pressure Ability to creatively solve new, exciting ...

Preferred At least 4 years of experience in Python programming using CPython. At least 2 years of ... Analytical skills Experience in Energy/Oil&Gas domain Ability to work in team in diverse/ multiple ...

Python MLOps Engineer

Boston, MA ยท Remote

$65 - $75/hr

Trace, analyze, and modify existing Python code. * Write and update SQL queries. * Debug issues reported by business stakeholders. * Investigate unexpected or inconsistent model outputs. * Implement ...

Candidates will work closely with risk analysts and investment teams, but your primary focus will ... Experience with key Python Libraries (pandas, NumPy) required * Experience in frontend development ...

Data Engineer/Python Developer

Boston, MA ยท On-site

$54.50 - $75.25/hr

The role requires strong expertise in Python, SQL/NoSQL, AWS, FastAPI, and Benchling, along with ... Build and support ETL/ELT and next-generation data pipelines for analytics and AI/ML workloads

Data Engineer/Python Developer

Boston, MA

$54.50 - $75.25/hr

The role requires strong expertise in Python, SQL/NoSQL, AWS, FastAPI, and Benchling, along with ... Build and support ETL/ELT and next-generation data pipelines for analytics and AI/ML workloads

Data Engineer/Python Developer

Boston, MA ยท On-site

$54.50 - $75.25/hr

The role requires strong expertise in Python, SQL/NoSQL, AWS, FastAPI, and Benchling, along with ... Build and support ETL/ELT and next-generation data pipelines for analytics and AI/ML workloads

Data Architect

Boston, MA ยท Hybrid

$69.25 - $89/hr

Data Architect Hybrid Mode(5 Days in Month) Durham,NC/Boston,MA 13-15 yrs ideally Deep knowledge and understanding of Architecture and processes SQL, Python, analytic applications - 5 yrs, PostgreSQL ...

Senior Python Software Engineer

Boston, MA ยท On-site

$119K - $179.75K/yr

You'llbe joining a small team working on expanding a new reporting and analytics product todrastically simplify thepaymentsecosystem for ecommerce merchants. Whatyou'llownas theSenior Python Engineer

Data Architect

Boston, MA

$69.25 - $89/hr

Durham, NC / Boston, MA Duration: 12+ Months 13-15 years ideally Deep knowledge and understanding of architecture and processes SQL, Python, Analytic Applications - 5 years PostgreSQL, ETL tools - 5 ...

Senior Python Software Engineer

Boston, MA ยท On-site

$119K - $179.75K/yr

You'll be joining a small team working on expanding a new reporting and analytics product to drastically simplify the payments ecosystem for ecommerce merchants. What you'll own as the Senior Python ...

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Python Analytics information

See Boston, MA salary details

$14

$63

$93

How much do python analytics jobs pay per hour?

As of Jun 2, 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.

Lead Software Engineer (Python)

Prophecy Technologies

Boston, MA โ€ข On-site

Full-time

Posted 27 days ago


Job description

Role Summary
As a Lead Software Engineer (Python) at Trivelta, you will play a pivotal role in designing, developing, and scaling the platform's core backend infrastructure. This is a hands-on technical leadership position responsible for driving innovation, ensuring system performance, and maintaining high standards of security, compliance, and reliability.
You will collaborate closely with product, security, compliance, finance, and data analytics teams to build robust, scalable solutions in a highly regulated environment.
Key Responsibilities
Backend Architecture & Development
  • Architect and develop scalable, high-performance backend systems using Python.
  • Design and maintain robust APIs supporting mobile, web, and third-party integrations.
  • Drive best practices in backend design, code quality, and system reliability.

Performance, Security & Compliance
  • Optimize system performance, scalability, and availability.
  • Implement security best practices and ensure compliance with:
  • AML, KYC
  • Data privacy regulations
  • State-by-state sweepstakes regulations
  • Partner with compliance and security teams to meet regulatory standards.

Data & Analytics Infrastructure
  • Design and maintain data pipelines supporting:
  • Analytics and reporting
  • Fraud detection
  • Geolocation-based access controls
  • Regulatory and audit reporting

Technical Leadership
  • Lead and mentor engineers, promoting best practices and continuous learning.
  • Drive architectural decisions and long-term technical strategy.
  • Evaluate emerging technologies in fintech, gaming, and AI-based fraud detection.

Cross-Functional Collaboration
  • Work closely with product, finance, compliance, and support teams to translate business needs into technical solutions.
  • Ensure seamless system integration and operational efficiency.

Operational Excellence
  • Lead incident response for production outages or security events.
  • Implement proactive monitoring and alerting.
  • Perform root cause analysis and drive long-term corrective actions.

Required Skills & Qualifications
  • Proven experience designing and scaling high-performance backend systems.
  • Strong hands-on expertise in Python for backend development, automation, and data processing.
  • Experience building and maintaining RESTful APIs.
  • Strong knowledge of CI/CD pipelines and infrastructure automation.
  • Demonstrated ability to lead, mentor, and influence technical direction.
  • Experience working cross-functionally with product, finance, and compliance teams.
  • Solid understanding of:
  • System performance tuning
  • Security best practices
  • Regulatory compliance (AML, KYC, data privacy)

Preferred Qualifications
  • Experience with data pipelines, analytics platforms, and fraud detection systems.
  • Exposure to geolocation-based access controls.
  • Background in fintech, gaming, or regulated platforms.