Senior Business Intelligence Analyst
Company | Global Payments |
---|---|
Location | Austin, TX, USA, Plano, TX, USA, Atlanta, GA, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s, Master’s |
Experience Level | Senior |
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.