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Star Mountain Capital

Analyst – Business Operations & Intelligence

Data ManagementConfirmed live in the last 24 hours
Full-timeTampa, FL, USAIn-person

About the Job

Requirements

  • A degree or demonstrated proficiency in data science, data analytics, information systems, or a comparable quantitative field, with working command of SQL and structured data manipulation.
  • One to three years of full-time relevant experience in data operations, business analytics, CRM/ERP administration, or financial services operations, or an equivalent internship track; recent graduates with strong technical data credentials are encouraged to apply.
  • Finance fluency sufficient to understand how a private investment firm operates, including funds, investors, deals, and portfolio companies; advanced investment training is not required.
  • Advanced proficiency with Microsoft Excel and working familiarity with CRM/ERP platforms.
  • Exceptional attention to detail so firm leadership can trust the data without re-checking it.
  • Strong organizational skills and proven ability to manage recurring deliverables, competing priorities, and defined turnaround standards.
  • Clear written and verbal communication, comfort interacting with senior executives, and ability to document processes.
  • Discretion and sound judgment when handling confidential executive, investor, and portfolio information.
  • A positive, solutions-based attitude and strong work ethic.

Responsibilities

  • Update data hands-on in the firm's CRM and ERP systems, principally GPEX, including record creation, updating, deduplication, standardization, enrichment, and synchronization-error resolution, to keep data current, accurate, and real-time.
  • Execute the firmwide data-request intake protocol, including triage-reviewed requests, documented pull methods, domain subject-matter expert review, defined turnaround standards, and a full audit trail for every response.
  • Support relationship activation across the firm through relationship-list builds, executive travel and geography optimization against limited partner and deal-flow data, catch-up point surfacing, meeting and interaction logging, contact-card accuracy, tear-sheet fact checking, and conference and target-list data builds.
  • Maintain and produce recurring firm reports and trackers, including weekly activity and pipeline reports, key performance indicator dashboards, invoice trackers, portfolio reporting inputs, and executive rundown data.
  • Absorb and industrialize data workstreams transitioning from the firm's offshore administrative vendor by documenting each process, tightening quality standards, and identifying automation opportunities.
  • Execute scoped data projects, including data-cleaning campaigns, scraping builds, training-data preparation for the firm's artificial intelligence initiatives, and index and comparable-set builds.
  • Use the firm's AI tooling, including Claude connectors and skills, against the systems of record to automate recurring workflows and train colleagues.
  • Assist with other aspects of the firm's business as an aligned partner.

Desired Qualifications

  • Python or comparable scripting.
  • Exposure to Power BI or comparable reporting tools.

About the Company

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, United States
Founded
1985

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