Senior Financial Analyst, FP&A & Data Analytics

Gen Digital

New York (NY)

Hybrid

USD 110,000 - 150,000

Full time

14 days+

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Job summary

Gen Digital is seeking a Senior Financial Analyst to own financial reporting and data pipelines within MoneyLion’s Analytics & Decisioning team. You will deliver dashboards and analyses that inform accounting, forecasting, and customer economics, working with Finance, Data Science, Product, and Engineering.

The ideal candidate has strong SQL, Python (pandas, numpy), familiarity with dbt, and a solid grounding in accounting principles.

Qualifications

Strong SQL skills for querying and transforming large financial datasets; experience with dbt is a plus.
Proficiency in Python for financial modeling and data manipulation (pandas, numpy).
Understanding of accounting principles including revenue recognition, accruals, and period-close processes.
Experience contributing to LTV, CLR, or cohort-based customer analytics frameworks.
Data visualization skills to build clear dashboards and reports (Tableau, Looker, or similar BI tools).

Responsibilities

Own and maintain financial reporting workstreams including dashboards and analyses that support accounting and FP&A teams.
Document and communicate the business logic underlying assigned financial models, ensuring accuracy and traceability for downstream stakeholders.
Support the translation of accounting principles into SQL and dbt models, with guidance from senior team members on more complex business rules.
Partner with the Accounting and FP&A teams on period-close deliverables and ad hoc data requests.
Contribute to the CLR/LTV measurement framework by building and maintaining cohort-level analyses across customer segments, products, and acquisition channels.
Produce regular reporting on customer health metrics with clear interpretation and suggested next steps.
Build and maintain reports that track MoneyLion Membership program economics, including member engagement, product attach rates, and incremental revenue metrics.
Support the maintenance and monitoring of forward flow pricing models.
Write well-structured, documented SQL and dbt models that encode financial business logic.
Develop Python-based analytical workflows for financial modeling and scenario analysis tasks.