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C

Business Intelligence Analyst

CAZ Investments

Greater Houston ・ フルタイム

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3~6歳
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1
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3時間前
作業モード
在任中
教育
学士号
資格
Candidates with a bachelor’s degree in a relevant field and 3–6+ years of experience in business intelligence, data analysis, or reporting are eligible to apply. Advanced qualifications such as an MBA, master’s degree, or analytics certifications are preferred.
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仕事内容

About CAZ Investments

CAZ Investments was established in 2001 with support from prominent and accomplished families in Texas. Since then, the firm has concentrated on identifying strong investment opportunities for its own capital and allowing a global group of investors to co-invest alongside it. Its mission is to offer exclusive access to distinctive alternative investments.

The company’s ownership group has expanded to include experienced professionals from financial services, along with Tony Robbins, a well-known entrepreneur and financial educator. CAZ highlights a differentiated model built on investing its own money alongside clients, opening access to opportunities that may not be available to many investors, and tying much of its compensation to investor outcomes.

Role Overview

The Business Intelligence Analyst will turn data into practical insights by creating dashboards, reports, and data models that help teams make better decisions across the organization. This role works closely with stakeholders to define meaningful metrics, improve data quality, and provide visibility into performance.

Key Responsibilities

  • Examine data from multiple systems, spot patterns, and convert business questions into useful insights that guide decisions.
  • Create, update, and support dashboards and reports that give timely visibility into performance indicators.
  • Build scalable data structures and models that support reliable, flexible, and consistent analytics.
  • Work with internal teams to define KPIs, metrics, and reporting rules that match business objectives.
  • Check and strengthen data accuracy, consistency, and integrity across systems so reporting remains dependable.
  • Partner with teams across the business to deliver analysis, reporting, and recommendations based on data.
  • Look for ways to automate reporting, improve dashboards, and make data workflows more efficient.

Success Measures

Performance in this role will be evaluated based on how accurate and dependable dashboards and reports are, the strength of the underlying data models and reporting setup, and the business value created through insights that support better decisions.

Requirements

  • A bachelor’s degree in business, Data Analytics, Information Systems, or a similar field, plus 3–6+ years of relevant experience in business intelligence, data analysis, or reporting.
  • An MBA, master’s degree, or professional certifications in analytics, BI tools, or related areas is preferred.
  • Strong experience analyzing large or complex datasets and designing structured, scalable models for reporting and analytics.
  • Hands-on experience creating dashboards and reports, such as in Power BI or Salesforce, to track business performance.
  • Ability to turn business needs into KPIs, metrics, and reporting logic that support decision-making.
  • Experience maintaining data accuracy, consistency, and reliability across systems, including finding and fixing data issues.
  • Ability to collaborate effectively with business, operations, and technology teams to deliver reporting solutions and actionable insights.

Competencies

  • Accountability: takes initiative, owns analysis end to end, and moves reporting work forward with limited supervision.
  • Analytical thinking: uses structured problem-solving to handle complex data challenges and form clear, supportable conclusions.
  • Communication: explains data findings clearly to technical and non-technical audiences so they can make confident decisions.
  • Business acumen: understands priorities and connects analysis to measurable outcomes and high-impact work.
  • Collaboration: builds effective cross-functional relationships and aligns data capabilities with business needs.

Compensation and Benefits

  • The base pay will depend on experience.
  • There is potential for bonuses, determined through periodic goal-setting and influenced by individual contribution and firm profitability.
  • Employees are eligible for a matching 401(k) plan.
  • The company offers generous paid time off and a strong benefits package.

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