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Senior Python Data Analyst Jobs in Massachusetts

Senior Sales Data Analyst

Boston, MA · On-site

$93K - $117K/yr

Role Overview CarGurus is hiring a Senior Sales Data Analyst to support our Inventory & Data pillar as we build, sell, and scale the next generation of dealer software. You'll serve as a core ...

Join CGI as a Senior Data Analyst supporting complex data, analytics, and information management initiatives within the healthcare payer domain. In this role, you will partner with business leaders ...

You are powerful in data science, business reporting, and statistical analysis. * You are ... You will be reporting to the Senior Consultant. About our client: They are an equal opportunity ...

Senior Sales Data Analyst

Boston, MA · On-site

$93K - $117K/yr

Role Overview CarGurus is hiring a Senior Sales Data Analyst to support our Inventory & Data pillar as we build, sell, and scale the next generation of dealer software. You'll serve as a core ...

Data Analyst Quality & Patient Safety Department Position Statement: Data analyst is responsible ... decisions by senior leadership. Functions: * Assists in the development of monthly Hospital ...

Technical Data Analyst

Boston, MA · On-site

$55 - $60/hr

Proficiency in SQL and scripting (Python, PowerShell, or similar) for automation * Experience ... Ability to analyze data quality metrics and communicate findings via dashboards and reports

... Python. Required Qualifications * Bachelor's degree in Finance, Economics, or a related field * 5+ ... Proficiency in SQL for data querying and analysis is highly preferred. Preferred Qualifications

Sr. Analyst, Data Engineering Data Engineering is the practice of designing, building, and ... Proficiency in Python for automation, orchestration, and custom data solutions, with the ability to ...

Showing results 41-60

Senior Python Data Analyst information

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

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting 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 are popular job titles related to Senior Python Data Analyst jobs in Massachusetts?

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

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

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

What cities in Massachusetts are hiring for Senior Python Data Analyst jobs?

Cities in Massachusetts with the most Senior Python Data Analyst job openings:

Lead Investment Data Analyst

Marsh & McLennan Companies

Boston, MA • On-site

$108K - $216K/yr

Other

Medical, Retirement

Re-posted 13 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 Google Cloud Platform 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
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.