Carex is partnering with a Fintech industry partner to hire a Senior Manager, Data Strategy & Analytics to serve as a strategic analytics partner across the organization. This high-impact role will translate complex data into actionable insights that drive decision-making across Credit, Operations, Marketing, Product, Finance, Risk, and Compliance.
This individual will work with large datasets in a modern cloud-based environment, develop scalable analytics solutions, build dashboards and reporting, and uncover trends that improve risk management and business performance. The role combines hands-on technical expertise with strategic thinking and cross-functional collaboration, requiring the ability to communicate sophisticated analyses clearly to both technical and non-technical stakeholders.
The Senior Manager will also help advance the analytics ecosystem by strengthening source-of-truth data assets, improving data workflows, expanding automation, and identifying opportunities to leverage AI and modern analytics technologies for more efficient and scalable decision-making.
What You'll Do
- Write efficient, well-documented SQL in Snowflake to extract, transform, analyze, and validate large datasets.
- Develop and automate analytical workflows using Python and/or R, with code maintained through GitHub.
- Design, build, and maintain Tableau dashboards and reporting that provide visibility into key business metrics across Credit, Operations, Marketing, Finance, and other functions.
- Conduct ad hoc and strategic analyses, translating findings into clear recommendations for business and executive stakeholders.
- Partner with Data Engineering to build and refine scalable data workflows in Databricks that support analytics and reporting needs.
- Monitor data quality, proactively identifying anomalies, inconsistencies, and issues affecting critical business metrics.
- Develop and document analytical methodologies while continuously identifying opportunities to improve efficiency, scalability, and accuracy.
- Support Collections and Loan Fulfillment with new data build-outs and reporting capabilities.
- Develop and maintain operational reporting ranging from agent-level performance metrics to executive-level reporting.
- Partner with operational leaders to ensure reporting evolves alongside changing business requirements, definitions, and strategies.
- Ensure data pipelines supporting operational reporting remain reliable and scalable as new metrics and reporting requirements emerge.
- Use analytics to identify optimization opportunities within Collections, including channel mix, contact timing, treatment paths, and related strategies.
- Support state and partner audits associated with licensing, agreements, and compliance requirements.
- Design automated solutions for repetitive audit-related requests, processes, and workflows.
- Maintain documentation and appropriate data trails to support audit and compliance readiness.
- Reduce manual effort and turnaround time associated with recurring compliance and audit requests through automation and improved tooling.
- Build and maintain source-of-truth data objects within the Analytics layer to support functions including Marketing, Operations, Risk, and Pricing.
- Simplify data flows and production processes used to create and maintain core analytical data objects.
- Evaluate technical requirements and select the appropriate technology across Snowflake, Databricks, dbt, and other analytics tools.
- Migrate Snowflake jobs into a version-controlled GitHub repository to improve maintainability, governance, and collaboration.
- Drive adoption of AI capabilities within Snowflake, including Cortex Analyst and semantic views.
- Build semantic layers on core data objects to support natural-language querying and scalable self-service analytics.
- Identify emerging analytical needs and proactively recommend improved approaches, tools, and methodologies.
What You'll Bring
- 7+ years of experience in business intelligence, data analytics, or a related field, preferably within financial services or FinTech.
- Advanced SQL skills and experience querying cloud-based data warehouses such as Snowflake.
- Strong experience with Tableau or comparable data visualization platforms, including designing dashboards for business users and executive stakeholders.
- Working knowledge of Python and/or R for data manipulation, analysis, and workflow automation.
- Familiarity with Databricks, Spark, or comparable distributed computing platforms.
- Experience using Git and GitHub for version control and collaborative development.
- Demonstrated ability to transform complex datasets and analyses into meaningful business insights and actionable recommendations.
- Excellent written and verbal communication skills with the ability to present technical concepts to diverse audiences.
- Strong analytical judgment, intellectual curiosity, and attention to accuracy and precision.
- Ability to collaborate effectively across technical and business functions while managing shifting priorities and ambiguity in a fast-paced environment.
- Experience with consumer lending, credit risk modeling, personal lending, or related financial services environments is a plus.
- Familiarity with dbt and modern analytics engineering practices is a plus.
- Exposure to machine learning concepts and predictive modeling techniques is a plus.
- Knowledge of financial services regulatory requirements, including fair lending and FCRA considerations, is a plus.
- Experience presenting analytical findings and strategic recommendations to executive leadership is a plus.
- Interest in leveraging AI and generative AI technologies to enhance analytics workflows, automate processes, and accelerate insight generation is a plus.
Carex Consulting Group is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, or Veteran status.
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