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Intern Python Data Analyst Jobs in Massachusetts

VHB

Senior Transportation Data Analyst

Boston, MA · On-site

$98K - $148K/yr

Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ... Minimum of 3+ years of experience with advanced analytics in the engineering/transportation ...

VHB

Senior Transportation Data Analyst

Boston, MA

$98K - $148K/yr

ABOUT THE POSITION Senior Transportation Data Analyst Locations: Watertown, MA | Raleigh, NC ... Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ...

VHB

Senior Transportation Data Analyst

Boston, MA · On-site

$98K - $148K/yr

Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ... Minimum of 3+ years of experience with advanced analytics in the engineering/transportation ...

Azenta

Senior Product Data Analyst

Burlington, MA · On-site

$107K - $134K/yr

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 ...

Azenta

Senior Product Data Analyst

Burlington, MA · On-site

$107K - $134K/yr

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 ...

Citizens

Experiential Marketing Sr Data Analyst

Westwood, MA · On-site +1

$104K - $138K/yr

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 ...

Citizens

Experiential Marketing Sr Data Analyst

Westwood, MA · On-site +1

$104K - $138K/yr

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 ...

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All JobsIntern Python Data Analyst JobsIntern Python Data Analyst Jobs in Massachusetts

Intern Python Data Analyst information

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

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

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

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

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.
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 cities in Massachusetts are hiring for Intern Python Data Analyst jobs? Cities in Massachusetts with the most Intern Python Data Analyst job openings:
Intern Python Data Analyst jobs near you
Lead Investment Data Analyst

Lead Investment Data Analyst

Marsh & McLennan Companies, Inc.

Boston, MA • On-site

$108K - $216K/yr

Full-time

Medical, Retirement

Posted 16 days ago

Job description

Company:
Mercer
Description:
We are seeking an experienced, business-savvy Lead Investment Data Analyst to join Mercer Wealth's investment data function. This person will partner closely with Mercer's North America OCIO & Advisory teams to deliver high-quality, end-to-end data solutions that support the multiple business units such as operations, investments, performance, business development, trading etc. The role combines hands-on data engineering and analytics with leadership, stakeholder management, and delivery accountability.
The successful candidate will be responsible for designing and operating robust data models, data pipelines, governance and quality processes, and for growing and mentoring a team of senior and junior data analysts that are geographically dispersed.
Lead Investment Data Analyst
We will count on you to:
  • Lead design, development, and operationalization of end-to-end investment data solutions (ingest → transform → store → serve) that support OCIO & Advisory business needs.
  • Collaborate with portfolio managers, OCIO operations, risk, performance, reporting, and client teams to translate requirements into pragmatic, scalable data solutions and APIs.
  • Own data quality, lineage, metadata, and governance for investment datasets (reference data, positions, holdings, pricing, benchmarks, returns, exposures, allocations, transactions).
  • Mentor and grow a mixed-seniority analyst team and serve as the primary data contact for senior Mercer Wealth stakeholders.

What you need to have:
  • 10+ years building end-to-end data solutions in investment / asset management / OCIO environments, supporting multiple business units.
  • Deep domain knowledge across master data, holdings, positions, transactions, pricing, benchmarks, returns, exposures, allocations, and corporate actions.
  • Strong hands-on data engineering skills (SQL required; Python or another scripting language) and experience with cloud data platforms (AWS, Azure, or GCP preferred).
  • Proven experience implementing data governance, lineage, metadata management, and data quality frameworks, plus prior people-lead or team-lead experience.

What makes you stand out:
  • Experience in large institutional wealth or bank environments (including proprietary funds or fund-of-funds) and familiarity with Eagle PACE / Markit EDM or equivalent.
  • Knowledge of investment data vendors and standards (Bloomberg, Refinitiv, SimCorp, IHS Markit, FpML, ISO 20022).
  • Hands-on experience with modern orchestration and transformation tools (Airflow, dbt, Spark) and data catalog/observability tools.
  • Cloud-native architecture, infrastructure-as-code experience, and relevant certifications (CDMP, cloud certs, CFA/CAIA, Scrum) are a plus.

Why join our team:
  • We help you be your best through professional development opportunities, interesting work and supportive leaders.
  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Mercer is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Mercer, visit mercer.com, or follow us on LinkedIn and X.
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.
The applicable base salary range for this role is $108,000 to $216,000.
The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.
We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

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