Senior Quantitative BI Analyst (SaaS)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Senior Quantitative BI Analyst (SaaS): Bridging advanced financial analytics and enterprise-scale business intelligence with an accent on financial modeling, data architecture, and automated reporting. Focus on designing scalable BI solutions, optimizing ETL processes, and delivering actionable insights to senior leadership within a complex, multi-business environment.
Location: Must be based in Westlake, Texas
Company
is a global leader in data and software services, transforming the vehicle lifecycle and protecting digital identities through cognitive insights and automation.
What you will do
- Build and maintain driver-based three-statement financial models for forecasting and valuation.
- Design and maintain enterprise BI architecture, including data models and warehousing solutions.
- Develop and optimize ETL/ELT processes to ensure data integrity and scalability.
- Create automated dashboards and reporting tools using Power BI or Tableau.
- Partner with finance, product, and technology teams to align BI solutions with business objectives.
- Mentor junior analysts and engineers while implementing data governance standards.
Requirements
- Bachelorβs degree in Finance, Economics, Data Science, or a related field.
- 7+ years of combined experience in financial analysis and BI/data engineering roles.
- Advanced proficiency in Excel and financial modeling.
- Strong experience with SQL, Python, and BI tools like Power BI or Tableau.
- Expertise in data warehousing, ETL/ELT processes, and cloud-based data platforms.
- Familiarity with SaaS metrics such as ARR, NRR, CAC, LTV, and churn.
Nice to have
- Advanced degree such as an MBA, CFA, or CFP.
Culture & Benefits
- Global organization with a focus on innovation and cognitive automation.
- Opportunity to work on large-scale data transactions across 90+ countries.
- Collaborative environment partnering with cross-functional finance and technology teams.
- Commitment to equal opportunity employment and inclusive workplace policies.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β