1 час назад
Senior Manager, Data Strategy & Analytics (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Data Strategy & Analytics (Fintech): Building scalable analytics solutions, dashboards, reporting, and source-of-truth data assets for credit, operations, marketing, finance, risk, and compliance with an accent on Snowflake, Tableau, Databricks, workflow automation, and data quality. Focus on designing semantic layers, driving AI capabilities through Cortex Analyst, automating audit workflows, and translating complex datasets into executive recommendations.
Location: Remote, Wisconsin, United States
Company
is partnering with a fintech industry partner on a strategic data analytics role.
What you will do
- Extract, transform, analyze, and validate large datasets using efficient SQL in Snowflake.
- Develop automated analytics workflows with Python and/or R, using GitHub for version control.
- Design and maintain Tableau dashboards, operational reporting, and executive-level reporting across business functions.
- Partner with Data Engineering to build scalable Databricks workflows and maintain reliable data pipelines.
- Monitor data quality, develop source-of-truth analytical data objects, and improve data flows and production processes.
- Automate audit and compliance workflows, support lending operations, and identify optimization opportunities in Collections.
Requirements
- 7+ years of experience in business intelligence, data analytics, or a related field, preferably in financial services or fintech.
- Advanced SQL and experience with cloud data warehouses such as Snowflake.
- Strong Tableau or comparable data visualization experience, including dashboards for business and executive stakeholders.
- Working knowledge of Python and/or R, plus familiarity with Databricks, Spark, Git, and GitHub.
- Ability to convert complex analyses into actionable recommendations and communicate technical concepts to diverse audiences.
- Strong analytical judgment, accuracy, collaboration skills, and ability to manage shifting priorities.
Nice to have
- Experience with consumer lending, credit risk modeling, personal lending, or related financial services.
- Familiarity with dbt and modern analytics engineering practices.
- Exposure to machine learning, predictive modeling, financial services regulations, fair lending, or FCRA requirements.
- Experience presenting strategic recommendations to executive leadership.
- Interest in AI and generative AI technologies for analytics automation and insight generation.
Culture & Benefits
- Remote work arrangement based in Wisconsin.
- Cross-functional collaboration across technical and business teams.
- Focus on scalable, maintainable, well-documented analytics and governance.
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