Banner is the operating system for real estate teams. From building acquisition to disposition, Banner moves all communications, workflows, spreadsheets, and file-sharing into one system. With Banner, customers automate away 80%+ of their administrative work, saving up to 10% on project costs. The company is founded by Mark Murphy who formerly worked in RE finance, along with Kunal Chaudhary and Eric Gao, both UC Berkeley EECS alums.

About Us

Banner is transforming the way America’s buildings are developed and improved. Today, the commercial real estate industry manages hundreds of billions in capital projects using outdated tools like spreadsheets and shared folders. Banner changes that.

We build intuitive, powerful financial and project management software for real estate owners, developers, and operators. Our customers use Banner to manage everything from painting an apartment unit to developing a new office building.

We're on a mission to modernize how real estate projects are run. If you're someone who gets excited about solving real-world problems and delighting customers, we'd love to meet you.

About the Role

We’re hiring a Data Operations Specialist to help power a fast-growing startup by owning how client data gets transformed, structured, and loaded into our platform.

This is a high-impact, high-ownership role. You’ll work with messy, real-world data under real deadlines, often juggling multiple client workflows at once. You’ll need to be comfortable operating in a high-intensity startup environment where priorities shift quickly and you’re trusted to figure things out.

If you thrive under pressure, enjoy building order out of chaos, and want meaningful ownership over how data operations work, you’ll do great here.

What You’ll Do

Intake raw client data across many formats and levels of cleanliness
Quickly understand client data structures and map them to our system
Clean, transform, and validate data for import into our platform
Manage multiple data projects simultaneously, each with deadlines
Work deeply in complex Excel workbooks (multi-tab, interdependent formulas)
Recreate or redesign Excel models to improve clarity and usability
Use Python, AI tools, and automation to accelerate repetitive or complex data tasks
QA imported data and troubleshoot discrepancies under time pressure
Partner with customer-facing teams to unblock clients and hit onboarding timelines
Design, document, and improve data processes as the business scales

What We’re Looking For

Advanced Excel skills (pivot tables, XLOOKUP/VLOOKUP, nested formulas; Power Query a plus)
Proven ability to work with large, messy, incomplete datasets
Comfort juggling multiple tasks and shifting priorities
Ability to stay calm, accurate, and focused under pressure and deadlines
Strong sense of ownership — you see problems and fix them
Working knowledge of Python (pandas preferred) or strong interest in using it regularly
Regular use of modern AI tools to work faster and smarter
Clear communicator who can explain data constraints and tradeoffs

Nice to Have

Experience in startups or high-growth environments
Data migrations, implementations, or onboarding experience
SQL familiarity
Background in operations, analytics, or implementation roles

Startup Reality (Read This If You Like Ownership)

This is not a narrowly scoped or ticket-only role
You’ll help create and evolve business processes, not just follow them
You’ll have autonomy, trust, and visibility from day one
Speed matters — accuracy matters more
Your work will directly impact customers and revenue

How to Apply

Please include:

A short note about your experience in fast-paced or high-intensity environments
Examples of complex Excel or data transformation work (screenshots or descriptions are fine)
Any experience using Python or AI tools in your workflow

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