Senior Manager, Data Strategy & Analytics
New
J
JobgetherFinancial Services
100% fully distributed workforce, enabling employees to work remotely from within the United States.Full-TimeManager
SalaryBase salary range of $145,000–$160,000 USD
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLGitSnowflakeTableauSparkdbtDatabricksRGitHub
Requirements
- 7+ years of experience in business intelligence, data analytics, or a related field, preferably within financial services, consumer lending, or FinTech.
- Strong SQL skills, including experience querying cloud-based data warehouses such as Snowflake.
- Strong proficiency with Tableau or comparable data visualization platforms.
- Working knowledge of Python and/or R for data manipulation, analysis, workflow automation, and analytical modeling.
- Familiarity with Databricks, Spark, or similar distributed computing and large-scale data processing platforms.
- Experience using Git and GitHub for version control, code management, and collaborative development.
- Strong analytical and problem-solving capabilities, with exceptional attention to detail and a commitment to data accuracy.
- Excellent communication and storytelling skills, with the ability to distill complex analysis into concise, actionable insights.
- Experience in consumer lending, credit risk modeling, personal lending, or related financial services environments is a strong plus.
- Interest in using AI tools and generative AI to improve analytics workflows is preferred.
- Familiarity with dbt or modern analytics engineering practices is beneficial.
Responsibilities
- Develop, automate, and maintain analytical workflows using Python and/or R, with code managed through GitHub and collaborative development practices.
- Design, build, and maintain Tableau dashboards and reporting solutions that provide clear visibility into key business metrics across Credit, Operations, Marketing, Finance, and other functions.
- Partner with Data Engineering to build and refine data workflows within Databricks and ensure analytics infrastructure effectively supports reporting and decision-making needs.
- Conduct ad hoc and strategic analyses to answer complex business questions, translating findings into clear recommendations for business and senior leadership.
- Analyze large datasets to identify trends, opportunities, risks, and performance drivers that can inform strategic and operational decisions.
- Monitor data quality and proactively identify anomalies, inconsistencies, or issues affecting critical business metrics.
- Develop, document, and continuously improve analytical methodologies, processes, and frameworks to increase efficiency, accuracy, scalability, and repeatability.
- Evaluate opportunities to introduce improved analytical approaches, automation, AI-enabled tools, and modern data practices across workflows.
- Collaborate effectively with cross-functional stakeholders to understand business needs and translate them into high-quality analytical solutions.
- Communicate analytical insights through clear narratives, visualizations, and recommendations tailored to both technical and non-technical audiences.
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