Senior Business Analyst, Data Integration, CoStar Debt Solutions

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.

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* Basic Qualifications:

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* + 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

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* Preferred Qualifications:

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* + Familiarity with CRE data sources…