1

Senior Python Data Analysis Jobs in Massachusetts

Senior Python Developer

Boston, MA · On-site

$132K - $177K/yr

... data using utilities. • Redshift Native Client Configuration Qualifications : Required : • ... Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and ...

In this role at PwC, you will work on exploratory and descriptive analysis, statistical modeling ... Python, data science libraries, model validation methods, and modern AI/ML approaches, including ...

Senior Agentic AI Engineer (Python)_

Boston, MA · On-site

$132K - $177K/yr

Senior Agentic AI Engineer (Python) Experience: 5 10 years Location: Onsite / Offshore (Flexible ... Build enterprise-scale RAG solutions over structured and unstructured data sources. * Develop agent ...

The Senior Data Scientist leads the integration and application of advanced data analytics to solve ... Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

The Senior Data Scientist leads the integration and application of advanced data analytics to solve ... Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

Build automated Python workflows that make high-value metrics easily accessible to engineering ... Mentor engineers on effective data analysis practices and raise the quality bar for data-driven ...

Build automated Python workflows that make high-value metrics easily accessible to engineering ... Mentor engineers on effective data analysis practices and raise the quality bar for data-driven ...

... from senior team members. * Test and compare reasonable modeling choices such as feature ... Working knowledge of Python for data analysis and modeling, including common data-science libraries ...

next page

Showing results 1-20

Senior Python Data Analysis information

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.

What are the key skills and qualifications needed to thrive as a senior Python data analyst?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are the most commonly searched types of Python Data Analysis jobs in Massachusetts?

The most popular types of Python Data Analysis jobs in Massachusetts are:

What are popular job titles related to Senior Python Data Analysis jobs in Massachusetts?

For Senior Python Data Analysis jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Analysis jobs in Massachusetts look for?

The top searched job categories for Senior Python Data Analysis jobs in Massachusetts are:

Senior Python Developer

Boston, MA • On-site

Syntricate Technologies
IT Services • 51 - 200 employees

$132K - $177K/yr

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Syntricate Technologies is seeking a Senior Python Developer to join their team. The role involves designing, building, and deploying Python-based applications while leveraging extensive experience with Oracle, PL/SQL, and AWS.
Responsibilities:
• Minimum 8 years of extensive experience in design, build and deployment of Python based applications.
• Strong experience with Oracle, PL/SQL, Stored Procedures
• Experience in Unix scripting.
• Experience with AWS
• Hands-on experience writing complex SQL queries, exporting, and importing large amounts of data using utilities.
• Redshift Native Client Configuration
Qualifications:
Required:
• Minimum 8 years of extensive experience in design, build and deployment of Python based applications.
• Strong experience with Oracle, PL/SQL, Stored Procedures
• Experience in Unix scripting.
• Experience with AWS
• Hands-on experience writing complex SQL queries, exporting, and importing large amounts of data using utilities.
• Redshift Native Client Configuration
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.