Overview
The organization is seeking an experienced, detail-driven Lead Analyst to take ownership of complex, high-visibility analysis as reporting scope expands. This role supports protecting and maximizing revenue as the Scores business expands to bring new partners online. You will help shape how the team analyzes, monitors, and safeguards a growing and increasingly complex data environment. This position is central to how Scores Operations uses data to inform the right business decisions at the right time.
Responsibilities
- Own royalty and revenue recognition analysis across CRAs and new partners, strengthening and automating quality checks and reconciliations that protect reporting accuracy.
- Collaborate cross-functionally with stakeholders including Finance and Technology, and provide analysis and reporting initiatives to executive and leadership audiences.
- Respond to increasing internal demands for data, reporting, and insights.
- Provide senior-level expertise in data extraction, management, and pipelining to support growing analytics needs.
- Standardize analytical approaches and refine the Scoring Operations ETLA (Extract, Transform, Load, and Analyze) process, improving how the team works (not just documenting it).
- Determine how analysis is delivered (dashboards, reports, ad hoc recommendations) so insights drive decisions as new partners and revenue streams grow.
- Lead ad hoc projects and analyses as requested, handling confidential information with discretion.
Requirements
- Proven work experience in a relevant industry (e.g., finance, fintech, or banking), with familiarity working with financial data and bureau data.
- Demonstrated success in an analytical/business intelligence scope of work, with the ability to pull, develop, and articulate insights from complex and ambiguous data into clear, actionable findings for business users and leadership.
- Significant expertise with active data extraction and data management, with the ability to guide others as a senior resource.
- Strong hands-on technical skills, including SQL, Snowflake, and Python for data analysis and pipeline work; advanced Excel; and BI/data visualization tools such as Tableau.
- Senior-level expertise with ETLA (Extract, Transform, Load, and Analyze) processes, including writing queries and owning/managing data.
- Inquisitive, detail-oriented mindset able to independently research and analyze large, complex data sets to identify trends and anomalies; review contracts for terms and pricing that affect revenue reporting; and adapt quickly as priorities shift.
- Strong critical-thinking skills, including the ability to manage deadlines in a fast-paced, evolving environment.
- Strong written and verbal communication skills, with proven experience owning complex, ambiguous analysis independently.
- Bachelor’s degree in Business, Finance, Accounting, Management, Operations, or a related discipline (equivalent experience considered).
Compensation & Benefits
- Targeted base pay range: $84,000 to $132,000, reflecting differences in candidate knowledge, skills, and experience.
- Competitive compensation, benefits, and rewards programs.
Location
Note
Equal employment opportunity employer. Employment and advancement opportunities are provided to candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.