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Senior Python Data Analysis Jobs in Massachusetts

Develop complex SQL queries for data analysis, defect investigation, and quality reporting ... Familiarity with Tableau, Power BI, Python, Excel, Jira, or similar tools. * Strong communication ...

Develop complex SQL queries for data analysis, defect investigation, and quality reporting ... Familiarity with Tableau, Power BI, Python, Excel, Jira, or similar tools. * Strong communication ...

As a Senior Data Scientist, you will develop disruptive technologies focused on signals ... analysis pipelines using standard tools (e.g., Python, C++), including implementing software to ...

Consults with senior business and technology partners to identify priorities and establish analytic ... Deep expertise in Python, data-centric ML techniques including engineering principles for building ...

As a Senior Data Scientist, you will develop disruptive technologies for signals exploitation and ... analysis pipelines using standard tools (e.g., Python, C++) • Experience designing and ...

The Role As a Senior Data Scientist at STR, you will help develop disruptive technologies focused ... Experience building data analysis pipelines using standard tools (e.g., Python, C++), including ...

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a ... Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ...

... data analysis, or machine learning * Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus

The Role As a Senior Data Scientist at STR, you will help develop disruptive technologies focused ... Experience building data analysis pipelines using standard tools (e.g., Python, C++), including ...

Showing results 41-60

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:

Senior Analyst, Data and Analysis

Publicis Groupe Holdings B.V

Boston, MA • On-site

$73K - $107K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Company Description

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.

The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.

Overview

Senior Analyst, Data and Analysis 

The Data & Analysis team uses data-driven insights to fuel strategic growth for clients.  We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients.

To help with this, we're looking for an outstanding Senior Analyst - someone who can analyze massive data sets, make insightful cross-channel recommendations, and communicate strategic ideas to clients. Sound like you? Read on.  

As a Senior Analyst, you'll build the strategic and tactical foundation for data-driven marketing efforts.  You'll work to achieve client goals through brand and acquisition campaigns, site optimization, and/or online testing strategy. 

Day-to-day, your role includes:

  

  • Instituting frameworks across project and campaign lifecycles, including measurement plans, primary and secondary research, and performance reporting 

  • Diving into large data sets, uncovering insights, and providing impactful recommendations to clients 

  • Connecting the dots across channels through data (including display media, site, search, email, and social) to provide a holistic view of marketing efforts  

  • Communicating with clients regularly on scheduled deliverables and ad-hoc requests 

  • Collaborating with internal teams and external partners to drive success for client's business goals 

Qualifications

We're looking for strong, impactful work experience, which typically includes:

  • 3-5 years of experience in analytics or strategy  

  • A four-year college degree 

  • Passion for digital marketing and emerging trends in the digital landscape 

  • Experience communicating with internal and external stakeholders at a variety of levels 

  • Fluency with Excel (including pivot tables and vlookups) and/or other data analysis tools such as SQL or Tableau  

  • Comfortable in a fast-paced and deadline-driven environment 

  • Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALLE, Midjourney) is a plus, especially for tasks like ideation, research, or content generation. 

Got the sparkle? Apply if you believe your unique skills are a fit!

2026-167169

Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

Compensation Range: USD $73,150.00 - USD $107,744.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/1/2026.

 Compensation Range: USD $73,150.00 - USD $107,744.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/15/2026.Employment Type: FULL_TIME