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Senior Business Intelligence Analyst

Senior Business Intelligence Analyst

CompanyGlobal Payments
LocationAustin, TX, USA, Plano, TX, USA, Atlanta, GA, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior

Requirements

  • 5+ years of experience in business intelligence, data analytics, or related fields—ideally within fintech or financial services.
  • Strong proficiency in SQL, data visualization tools (e.g., Microstrategy, Power BI, Looker), and Excel.
  • Familiarity with Python or R is a plus.
  • Deep understanding of financial products (e.g., payments, POS, lending, digital banking, etc.) and regulatory considerations.
  • Demonstrated experience leading projects with a consultative approach—asking the right questions, influencing stakeholders, and driving outcomes.
  • Proven ability to translate complex data into actionable insights and compelling stories.
  • Experience with cloud-based data platforms (e.g., BigQuery, Snowflake, Redshift) and data modeling best practices.
  • Excellent communication and stakeholder management skills.
  • Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Economics, Data Science, Finance, Engineering).

Responsibilities

  • Act as a strategic data consultant to business stakeholders—understanding their goals, framing analytical problems, and delivering impactful insights.
  • Proactively identify opportunities for business growth or cost savings through data-driven recommendations.
  • Design and build scalable BI solutions including dashboards, KPIs, and reporting tools that support decision-making and operational efficiency.
  • Analyze complex datasets to uncover trends, performance drivers, customer behaviors, and emerging risks.
  • Lead cross-functional data projects end-to-end: requirements gathering, data modeling, analysis, visualization, and presentation.
  • Translate business needs into technical requirements and collaborate with data engineering to ensure reliable data pipelines.
  • Support strategic initiatives such as product launches, pricing optimization, risk mitigation, or customer segmentation using data insights.

Preferred Qualifications

  • Familiarity with Python or R is a plus.