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Python Data Analyst Jobs in Massachusetts (NOW HIRING)

Proficiency in SQL and Python for querying, analysis, and automation * Strong skills in Power BI ... Excellent communication and data storytelling skills, with experience presenting to product and ...

Proficiency in SQL and Python for querying, analysis, and automation * Strong skills in Power BI ... Excellent communication and data storytelling skills, with experience presenting to product and ...

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Advanced proficiency with 3+ years experience in SQL, Python, and data visualization tools (Tableau ...

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Advanced proficiency with 3+ years experience in SQL, Python, and data visualization tools (Tableau ...

Sr. VoC Data Analyst

Canton, MA · On-site

$90.90K - $114.70K/yr

... Python, HTML, SQL, SAS, etc.) * Working knowledge in executing the various phases of primary ... data processing, analysis, insight generation, and reporting. Working Conditions and Additional ...

Conduct exploratory empirical analyses using SQL and Python that bridge disparate data sources (e.g. website usage, subscription records, inventory volumes, etc.). to quantify product performance ...

Sr. VoC Data Analyst

Canton, MA

$90.90K - $114.70K/yr

... Python, HTML, SQL, SAS, etc.) * Working knowledge in executing the various phases of primary ... data processing, analysis, insight generation, and reporting. Working Conditions and Additional ...

Experience with data visualization libraries in Python or R. * Experience ensuring data accuracy ... Experience in data analytics from a media intelligence perspective * Hands-on experience with ...

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Python Data Analyst information

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python Data Analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What are the most commonly searched types of Python Data Analyst jobs in Massachusetts? The most popular types of Python Data Analyst jobs in Massachusetts are:
What job categories do people searching Python Data Analyst jobs in Massachusetts look for? The top searched job categories for Python Data Analyst jobs in Massachusetts are:
What cities in Massachusetts are hiring for Python Data Analyst jobs? Cities in Massachusetts with the most Python Data Analyst job openings:
Infographic showing various Python Data Analyst job openings in Massachusetts as of May 2026, with employment types broken down into 4% As Needed, 71% Full Time, 14% Part Time, 4% Temporary, 5% Contract, and 2% Nights. Highlights an 58% Physical, 24% Hybrid, and 18% Remote job distribution.

Principal Data Analyst, Paid Media

Globoforce, Inc.

Framingham, MA • On-site

$145K - $170K/yr

Full-time

Posted 20 days ago


Job description

Job Description:

The Opportunity

Join the Business Analytics team at Workhuman, where we sit at the core of the organization, driving strategy and decision-making through data. We are bringing paid media execution & analytics in-house and seeking a Principal Data Analyst to fully own the in-housing of all analytics and ad operations for our Paid Media strategy across search, social, display, and video.

This role will own analytics and ops for advertising programs in Brand, Events, Product, Demand Generation, and ABM and blends deep analytical expertise with hands-on ad operations, ensuring our media data foundation is accurate, privacy-compliant, and actionable.

The ideal candidate is intellectually curious, data-driven, technical, and business oriented. They will own the full cycle of paid media measurement-tagging, tracking, integrations, production-grade data models & dashboards, insight generation-while working side-by-side with media buyers to optimize performance and ROI. Their work will connect platform execution to business impact, improve signal quality, and enable smarter targeting, budgeting, and creative decisions across the organization.

**Applicants must have valid permanent work authorization in the U.S. (e.g., U.S. citizen, permanent resident). We are unable to offer visa sponsorship for this role.

What we can offer you:

  • The opportunity to fully own in-housing paid media analytics, foundationally resetting the way Workhuman measures ROI on our digital advertising spend.

  • Direct control over a ground-up build for our paid media analytics engine. Full ownership over maintaining, expanding, and improving our end-to-end infrastructure of data models and dashboards.

  • End-to-end ownership over ad operations & governance to maximize data quality without reliance on other teams - GTM implementation, UTM governance, KPI definitions.

  • The opportunity to join paid media data with the rest of the Workhuman datasets for comprehensive marketing performance insights.

  • Access to cutting-edge tools and technologies, including cloud data warehouses and visualization platforms.

  • Access to granular paid media data to develop multi-touch attribution models, execute incrementality testing, and conduct ad-hoc strategic analysis.

The skills you will bring:

  • Fluency in querying, analyzing, and visualizing big datasets in a cloud computing environment via SQL and building dashboards using data visualization tools.

  • Demonstrated history of building production-grade data models. Experience with dbt is a plus

  • Deep expertise in B2B marketing strategy, digital marketing analytics, and ad operations.

  • Strong communication & project management skills and a highly collaborative approach to problem-solving.

  • Hands-on expertise with Google Tag Manager (events, data layers, custom HTML) and 3rd-party pixel implementations.

  • Strong understanding of UTM standards, attribution models (rule-based and data-driven), and incrementality testing methodologies.

  • Preferred: Experience with CM360, DV360, SA360 or other bid-management tools; familiarity with Python or similar scripting for data automation; exposure to MMM concepts and privacy-focused measurement solutions; relevant certifications such as Google Ads Search, GA4, LinkedIn Marketing Solutions, or Meta Marketing Science Professional.

Achievements:

  • Proven success overseeing the operations and analytics of large scale B2B campaigns

  • Demonstrated success integrating data across ad platforms, web analytics tools (Heap or GA4), marketing automation (Marketo), and CRM (Salesforce) into a central data warehouse and analytics infrastructure.

  • Have successfully collaborated with media buyers by translating analytical findings into clear optimization recommendations with measurable positive impact.

  • Developed and executed a measurement and analysis roadmap, leading to measurable improvements in business performance

The base salary range for this position is $145,000 - $170,000. Offered base compensation within this range will be determined based on the candidate's qualifications, experience, geographic location, and other factors relevant to the scope and responsibilities of this role. This role is also eligible for bonus or other variable compensation based on job performance and our standard benefits package, which supports employee well-being and work-life balance.

Thank you for considering joining our team. We strive to create an inclusive and accessible application process for all candidates. If you encounter any difficulties or have specific accessibility requirements while applying for this position, please don't hesitate to reach out to us atglobalrecruitment@workhuman.comfor assistance. We are committed to ensuring equal access to opportunities for all individuals.

The Company:

At Workhuman our mission is to bring more humanity to the workplace. We recognise and embrace individuals' differences and believe that workforce diversity and inclusion are essential to our long-term growth and success. Even if you don't think you "check every single box" above, please still consider applying. We're looking for a human who is collaborative, and innovative with a growth mindset. We love what we do because we're shaping the future of work through our people and our technology. Our human cloud-based applications are helping some of the world's leading global brands connect culture to shared purpose. The Workhuman Cloud empowers employees to thank, talk and celebrate each other, creating an environment that sparks gratitude and human connection while increasing employee engagement and productivity.

Did you know we have an award-winning culture across EMEA and North America:

  • We were named as #5 Best Workplace in the Great Place to Work Awards in Ireland in 2022 in the large sized workplace category. We were also recognised as a Best Workplace for Women and a Best Workplace in Technology in 2020, 2021 and 2022.

  • In 2021 we were named as #2 Best Workplace in Europe in the medium sized workplace category.

  • We were also recognised as #2 Best Large Places to Work in Boston by Built In for 2023 as well as a Best Place to Work in Boston, U.S. Best Large Places to Work and U.S. Best Places to Work.

  • There are currently over 7.5 million users on the Workhuman cloud across 180 countries.

  • Our core values are Respect, Determination, Innovation and Imagination.

Workhuman is an Equal Opportunity Employer and is committed to the principle of equal employment opportunity for all employees. We proudly provide a work environment free of discrimination and harassment. Employment decisions at Workhuman are based on solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Workhuman believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.