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Lead Quantitative BI Analyst, Business Intelligence

Westlake, Texas

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Apply at Solera

What you’ll work on

Full posting
  • Build and maintain driver-based three-statement financial models for scenario analysis, forecasting, budgeting, and valuation.

  • Perform advanced data mining and statistical modelling on large, complex datasets to identify trends and inform strategic decisions.

  • Design and maintain enterprise BI architecture, data science models, pipelines, and warehousing solutions.

From the employer’s posting
What You’ll Do Build and maintain driver-based three-statement financial models for scenario analysis, forecasting, budgeting, and valuation. Perform advanced data mining and statistical modelling on large, complex datasets to identify trends and inform strategic decisions.
Build and maintain driver-based three-statement financial models for scenario analysis, forecasting, budgeting, and valuation. Perform advanced data mining and statistical modelling on large, complex datasets to identify trends and inform strategic decisions. Design and maintain enterprise BI architecture, data science models, pipelines, and warehousing solutions.
Perform advanced data mining and statistical modelling on large, complex datasets to identify trends and inform strategic decisions. Design and maintain enterprise BI architecture, data science models, pipelines, and warehousing solutions. Develop and optimize ETL/ELT processes to ensure data integrity and scalability.

What you’ll bring

All qualifications

Core experience

  • 7+ years of combined experience in financial analysis and BI/data engineering roles.
  • Good understanding of data science techniques, SKlearn standard models and applied solutions at scale.
  • 3+ years of experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau).
  • 3+ years of experience in data warehousing, ETL/ELT processes, and cloud-based data platforms.
  • Familiarity with SaaS metrics (ARR, NRR, CAC, LTV, churn) and valuation concepts.
  • Ability to communicate complex technical and financial concepts clearly to non-technical stakeholders.

Preferred experience

  • Bachelor’s degree in Finance, Economics, Data Science, or related field; advanced degree (MBA, CFA, CFP or equivalent) is a plus.
Qualification wording
7+ years of combined experience in financial analysis and BI/data engineering roles.
Good understanding of data science techniques, SKlearn standard models and applied solutions at scale.
3+ years of experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau).
3+ years of experience in data warehousing, ETL/ELT processes, and cloud-based data platforms.
Familiarity with SaaS metrics (ARR, NRR, CAC, LTV, churn) and valuation concepts.
Ability to communicate complex technical and financial concepts clearly to non-technical stakeholders.
Bachelor’s degree in Finance, Economics, Data Science, or related field; advanced degree (MBA, CFA, CFP or equivalent) is a plus.
Education & alternatives
Education & Experience - Bachelor’s degree in Finance, Economics, Data Science, or related field; advanced degree (MBA, CFA, CFP or equivalent) is a plus. - 7+ years of combined experience in financial analysis and BI/data engineering roles.

Tools in this posting

  • Python
  • SQL
  • Excel
  • Tableau
  • Spark
  • Power BI
  • pandas
  • scikit-learn
Source — Tool mentions in context
- Good understanding of data science techniques, SKlearn standard models and applied solutions at scale. - 3+ years of experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau). - 3+ years of experience in data warehousing, ETL/ELT processes, and cloud-based data platforms.
Technical Skills - Advanced proficiency in Excel and financial modelling. - Good understanding of data science techniques, SKlearn standard models and applied solutions at scale.
- Develop and optimize ETL/ELT processes to ensure data integrity and scalability. - Create automated dashboards and reporting tools using BI platforms (e.g., Power BI, Tableau) to track financial and operational performance. - Integrate BI tools with enterprise systems (ERP, CRM) for unified data access.
- Advanced proficiency in Excel and financial modelling. - Good understanding of data science techniques, SKlearn standard models and applied solutions at scale. - 3+ years of experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau).

About Solera

In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities.

In the employer’s words · Read in context

Job description

View original posting ↗

Lead Quantitative BI Analyst, Business Intelligence

Who We Are

Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com.

The Role

We are seeking a Quantitative BI Analyst to bridge the gap between advanced financial analytics and enterprise-scale business intelligence. This hybrid role combines deep financial modelling expertise with strong technical skills in data architecture and BI tools, enabling data-driven decision-making across a complex, multi-business SaaS organization. The ideal candidate thrives in ambiguity, demonstrates intellectual agility, and can translate complex datasets into actionable insights for senior leadership.

You will design and maintain robust financial and operational models, architect scalable BI solutions, and deliver automated reporting frameworks that empower strategic initiatives, forecasting, and executive decision-making.

What You’ll Do

- Build and maintain driver-based three-statement financial models for scenario analysis, forecasting, budgeting, and valuation.

- Perform advanced data mining and statistical modelling on large, complex datasets to identify trends and inform strategic decisions.

- Design and maintain enterprise BI architecture, data science models, pipelines, and warehousing solutions.

- Develop and optimize ETL/ELT processes to ensure data integrity and scalability.

- Create automated dashboards and reporting tools using BI platforms (e.g., Power BI, Tableau) to track financial and operational performance.

- Integrate BI tools with enterprise systems (ERP, CRM) for unified data access.

- Partner with finance, product, and technology teams to refine assumptions, validate models, and align BI solutions with business objectives.

- Present insights and recommendations to senior executives in a clear, structured format.

- Implement data governance standards, metadata management, and ensure compliance with organizational policies.

- Mentor junior analysts and engineers, fostering a culture of continuous learning and innovation.

What You’ll Bring

Education & Experience

- Bachelor’s degree in Finance, Economics, Data Science, or related field; advanced degree (MBA, CFA, CFP or equivalent) is a plus.

- 7+ years of combined experience in financial analysis and BI/data engineering roles.

Technical Skills

- Advanced proficiency in Excel and financial modelling.

- Good understanding of data science techniques, SKlearn standard models and applied solutions at scale.

- 3+ years of experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau).

- 3+ years of experience in data warehousing, ETL/ELT processes, and cloud-based data platforms.

- Familiarity with SaaS metrics (ARR, NRR, CAC, LTV, churn) and valuation concepts.
 

Soft Skills
- Exceptional problem-solving ability and attention to detail.

- Ability to communicate complex technical and financial concepts clearly to non-technical stakeholders.

- Proven track record of ownership, adaptability, and delivering results in fast-paced environments.
 

What We’re Looking For

- A critical thinker who thrives at the intersection of finance and technology.

- Strong quantitative mindset with the ability to design scalable BI solutions.

- Highly motivated self-starter with an ownership mentality and a bias for execution

It is impossible to list every requirement for, or responsibility of, any position.  Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company’s needs may change over time.  Therefore, the above job description is not comprehensive or exhaustive.   The Company reserves the right to adjust, add to or eliminate any aspect of the above description.  The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.

 

EQUAL OPPORTUNITY EMPLOYER
SOLERA HOLDINGS, INC., AND ITS US SUBSIDIARIES (TOGETHER, SOLERA) IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE FIRM'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Pay

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Location & working pattern

Westlake, Texas

The Role We are seeking a Quantitative BI Analyst to bridge the gap between advanced financial analytics and enterprise-scale business intelligence. This hybrid role combines deep financial modelling expertise with strong technical skills in data architecture and BI tools, enabling data-driven decision-making across a complex, multi-business SaaS organization. The ideal candidate thrives in ambiguity, demonstrates intellectual agility, and can translate complex datasets into actionable insights for senior leadership. You will design and maintain robust financial and operational models, architect scalable BI solutions, and deliver automated reporting frameworks that empower strategic initiatives, forecasting, and executive decision-making.
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Status in our records
Active
First seen by us
May 8, 2026
Recorded sightings
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Last seen by us
Oct 2, 2026

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