17 часов назад
Business Operations Lead Analyst (Scores) (Fintech)
84 000 - 132 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Business Operations Lead Analyst (Scores) (Fintech) (SQL/Snowflake/Python): Owning royalty and revenue recognition analysis, data extraction, reconciliations, and reporting for CRAs and new partners with an accent on financial data accuracy, ETLA processes, and scalable analytical methods. Focus on automating quality checks, surfacing trends and anomalies in complex datasets, and delivering dashboards, reports, and recommendations for business and executive decision-making.
Location: Remote work from the United States
Targeted base pay range: $84,000–$132,000 per year
Company
is a global analytics software company providing decision-making, credit-scoring, fraud-detection, and lending solutions to businesses in more than 100 countries.
What you will do
- Own royalty and revenue recognition analysis across CRAs and new partners.
- Strengthen and automate quality checks and reconciliations across revenue streams.
- Partner with Finance, Technology, and executive stakeholders on reporting and analysis initiatives.
- Extract, manage, and pipeline data while refining the Scoring Operations ETLA process.
- Standardize analytical approaches and documentation as the reporting scope expands.
- Deliver dashboards, reports, and ad hoc recommendations that support business decisions.
Requirements
- Relevant experience in finance, fintech, banking, or a related industry, including work with financial or bureau data.
- Proven ability to analyze complex and ambiguous data and communicate actionable findings to business users and leadership.
- Senior-level expertise in data extraction, data management, ETLA processes, query writing, and data ownership.
- Hands-on skills with SQL, Snowflake, Python, advanced Excel, and BI or data visualization tools such as Tableau.
- Strong critical-thinking, research, communication, organization, and deadline-management skills.
- Bachelor's degree in Business, Finance, Accounting, Management, Operations, or a related discipline, or equivalent experience.
Culture & Benefits
- Inclusive culture centered on ownership, customer focus, and mutual respect.
- Competitive compensation, benefits, and rewards programs.
- People-first environment with work-life balance, employee resource groups, and social events.
- Opportunities for professional development and career growth in Big Data analytics, artificial intelligence, machine learning, and optimization.
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