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Business Analyst Python Jobs in Massachusetts (NOW HIRING)

Senior Data Analyst

Dedham, MA · Hybrid

$95K - $115K/yr

... business results. As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify opportunities, optimize key metrics, and measure performance across the ...

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

... business results. As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify opportunities, optimize key metrics, and measure performance across the ...

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

... business results. As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify opportunities, optimize key metrics, and measure performance across the ...

Working side-by-side with our Industry Business Planners, you will turn data into insight ... Use AI-assisted coding (Python, SQL, scripting) to prototype analytical tools, automations, and ...

Trade Support CRD Business Analyst Boston, MA Asset Management JO-1911-1268 The primary role would ... Technical skill set: ASP.NET, SQL Server (SSIS, SSRS), React JS, Python, MVC * Domain skills:

As a private partnership whose sole business is investment management, our long-term views and ... Experience with scripting or programming languages (e.g., Python, Java) for automation and testing.

Experience with Python, R, or other analytical programming languages. * Experience working within life sciences, healthcare, technology, or other B2B commercial environments. Company Description ...

Showing results 41-60

Business Analyst Python information

Is Python good for business analysts?

Python is a valuable skill for business analysts as it enables data analysis, automation, and visualization, often using libraries like pandas and matplotlib. Proficiency in Python can improve efficiency and support data-driven decision-making in the role.

What are the key skills and qualifications needed to thrive as a Business Analyst Python?

To thrive as a Business Analyst Python, you need strong analytical capabilities, expertise in business process modeling, and proficiency in Python for data analysis and automation, typically supported by a degree in business, IT, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and certifications like CBAP or Python-specific credentials are often preferred. Excellent communication, problem-solving, and stakeholder management skills help bridge the gap between technical teams and business objectives. These competencies enable effective data-driven decision-making and ensure solutions align with organizational goals.

What does a Business Analyst Python do?

A typical day for a Business Analyst Python involves gathering and analyzing business requirements, extracting and processing data using Python, and developing reports or data visualizations to present insights to stakeholders. You may collaborate closely with developers, project managers, and business leaders to translate business needs into technical solutions, often participating in meetings to clarify objectives or review progress. Additionally, regular tasks can include writing and refining Python scripts to automate data workflows and monitoring key performance metrics to identify opportunities for improvement. This dynamic role offers a balance between independent analysis and teamwork, making it both challenging and rewarding for those who enjoy problem-solving in a data-driven environment.

Which Python business analyst job is in demand?

Python business analyst roles are in high demand across industries such as finance, healthcare, and technology, especially for positions requiring data analysis, scripting, and automation skills. Candidates with proficiency in Python, data visualization tools, and certifications like CBAP or CCBA are often preferred. These roles typically involve working with large datasets, using tools like Pandas and SQL, and may require experience with machine learning or statistical analysis.

What is a Business Analyst Python?

A Business Analyst Python job involves analyzing business processes, identifying improvement opportunities, and using Python to automate tasks, manipulate data, and generate insights. These professionals bridge the gap between business needs and technical solutions by leveraging data analytics, visualization, and scripting. They work with databases, create reports, and collaborate with stakeholders to enhance decision-making. Python skills help streamline workflows and improve efficiency in data-driven environments.

What are popular job titles related to Business Analyst Python jobs in Massachusetts? For Business Analyst Python jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Business Analyst Python jobs in Massachusetts look for? The top searched job categories for Business Analyst Python jobs in Massachusetts are:
Infographic showing various Business Analyst Python job openings in Massachusetts as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Senior Business Analyst, Data Integration, CoStar Debt Solutions

CoStar Group

Boston, MA • On-site

$100K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Senior Business Analyst, Data Integration, CoStar Debt Solutions
Job Description
Senior Business Analyst, Data Integration
Location: Boston, in-office
CoStar Debt Solutions is building a new platform for CRE underwriting - one where credit officers, data pipelines, and AI agents work against the same shared data model. Banks, sponsors, and asset managers query, write, and collaborate on the same underlying system.
We're hiring a Senior Business Analyst, Data Integration to own the path data takes from external systems into our platform - and to grow into owning the path agents take into it. In year one, that means standing up the API integrations that get a bank's loan book, a sponsor's portfolio, or a vendor's market feed into the system cleanly, and managing those connections as living relationships with each customer. In year two and beyond, it means thinking about those integrations as agent-callable surfaces - typed contracts that agents, not just pipelines, reach through.
The work starts with REST and GraphQL plumbing. It ends somewhere more interesting.
What you'll own:
  • The API integrations that land customer data in the platform - core banking exports, property data feeds, CMBS data, borrower-supplied rent rolls, anything else a design partner shows up with. Each one becomes a typed write path that respects our data model.

  • The outbound side of those integrations - exporting contextual data back to customer systems via API so the work done in our platform shows up where the customer already runs their business. Enriched records, derived metrics, scenario outputs, snapshot data: the integrations move in both directions, and the export side matters as much as the ingest side for customers to trust the round trip.

  • The customer-facing side of all of it. You will be the person each customer's IT team talks to during scoping, credentialing, and cutover, and the person they call when something looks wrong six months later. Each API connection is a relationship, not just a config file.

  • The reliability story for those pipelines - error handling, idempotency, replays, retry semantics, auth refresh, the things that decide whether a customer trusts us with their next quarter's data.

  • The mapping decisions that nobody else can make - how a source-system field maps to our model on the way in, how an enriched record maps back on the way out, when a fuzzy address match is good enough, what gets logged for review vs. auto-resolved.

  • The ongoing health of every active API connection - monitoring, alerting, version upgrades when a vendor deprecates an endpoint, coordinating with customer IT when credentials rotate or schemas drift.

  • Over time: the evolution of these integrations from scheduled pipelines into agent-callable surfaces. You will be the person who decides which writes stay pipeline-only and which become tools an agent can call, and how the typed contracts on each side meet.

Basic Qualifications:
  • 7+ years building and operating production API integrations, in both directions. REST, GraphQL, webhooks, OAuth flows, batch ETL, the whole catalog. You have opinions about how to handle pagination, rate limits, schema drift, auth expiry, and bad data without escalating every edge case to engineering.

  • Experience managing API connections as customer-facing assets - scoping with a customer's IT or data team, working through their security review, and being the named contact when the pipeline misbehaves. You're comfortable on a call with a bank's API team and equally comfortable in the logs.

  • Comfort writing scripts to glue, transform, and validate - Python, Node, or equivalent. You don't need to be a software engineer, but you need to read code, ship working integrations end to end, and know when a one-off script should become a pipeline.

  • A working understanding of why typed data models matter, and why production-grade integrations require more than moving rows from A to B.

  • Bachelor's degree from an accredited, not-for-profit, in person, university or college.

  • A track record of commitment to prior employers

Preferred Qualifications:
  • Familiarity with CRE data sources is a plus, not a requirement. If you've integrated systems like FIS, CoStar, Intex, Yardi, or MRI, say so. If you haven't, we'll teach you the domain; we can't teach the integration instincts in the same timeframe.

  • Curiosity about LLM agents and the interface between agents and the systems they call. You don't need to have shipped an agent-callable tool. You need to find the question of "what does an agent need from this integration that a pipeline doesn't" genuinely interesting.

The growth path:
The first year is integration-heavy: real customer APIs, real deadlines, real reliability bar, real round-trips. The second year shifts. As we move from pipeline-driven writes to agent-driven workflows, the integration surface becomes the surface agents reach for. The person who owns this role is the one who understands both sides of that transition - what the customer's API can give us, what an agent on the other end can do with it, and what gets sent back out. If you want to grow into agent-facing infrastructure without leaving your integration roots behind, this is that role.
What's unusual about this role:
Most integration roles end at "the data is in the table." Ours doesn't even end at "the data is back out the other side." Every API connection you build is both an integration and a customer relationship, moving data in both directions, and the integrations you build today are the foundations for the agent workflows we build next year.
WHAT'S IN IT FOR YOU?
When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.
We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, and tuition reimbursement.
Our benefits package includes (but is not limited to):
  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Virtual and in person mental health counseling services for individuals and family
  • Commuter and parking benefits
  • 401(K) retirement plan with matching contributions
  • Employee stock purchase plan
  • Paid time off
  • Tuition reimbursement
  • On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
  • Access to CoStar Group's Employee Resource Groups
  • Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks

This position offers an annual base salary range of $ 99,900-147,700, based on relevant skills and experience and includes a generous benefits plan.
We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position.
#LI-MM5
#CoStar
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing