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Star Mountain Capital

Associate/Senior Associate - Business Operations & Intelligence

Business OperationsConfirmed live in the last 24 hours
Full-timeTampa, FL, USAIn-person

About the Job

Requirements

  • A degree in data science, computer science, information systems, or a comparable quantitative field is required, along with strong applied command of SQL and data manipulation.
  • Three to six years of full-time experience in data operations, business intelligence, analytics, or financial services data management, including demonstrated experience leading work or people.
  • Ability to work across functions and connect disparate data domains into one enterprise-level picture.
  • Solid understanding of private markets structures, including funds, limited partners, credit and equity investments, and portfolio monitoring, sufficient to design data work for each.
  • Experience building intake systems, standard operating procedures, quality-control standards, or comparable operating frameworks.
  • Clear, confident communication with senior executives and ability to represent the team's work and standards firmwide.
  • Discretion and sound judgment when handling confidential executive, investor, and portfolio information.
  • A positive, solutions-based attitude, strong work ethic, and ability to develop junior talent.

Responsibilities

  • Lead and develop the Tampa Business Operations and Intelligence analyst and intern team through workload management, quality control, training, and performance development in partnership with New York infrastructure leadership.
  • Own the firmwide data-request intake protocol, including prioritization standards, data-versus-analytics triage, turnaround standards, escalation rules, and the domain subject-matter-expert routing matrix.
  • Own quality-control standards and audit-trail discipline for every data response the team delivers.
  • Fulfill and design cross-enterprise, multi-division data work spanning limited partner, portfolio, fund, and origination data; identify recurring patterns and convert them into reports in the firm's reporting engine and new dashboard elements.
  • Lead the absorption and industrialization of offshore vendor data workstreams, including workflow handoff design with the offshore partner and coordination of 24-hour coverage.
  • Drive the team's data-project portfolio, including cleaning campaigns, scraping builds, training-data preparation, and emerging business-intelligence analytics work.
  • Partner with Enterprise Infrastructure on the firm's data lakehouse migration using Microsoft Fabric and Omni BI, and on the AI-enabled reporting roadmap; champion AI tooling adoption within the team and across the divisions it serves.
  • Assist in building the firm's private investment business as an aligned partner.

Desired Qualifications

  • Python and business-intelligence tooling such as Power BI or comparable tools are strongly preferred.

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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