Senior Data Strategy & Analytics Leader

Carex Consulting Group; Wisconsin; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Carex Consulting Group is seeking a Senior Manager of Data Strategy & Analytics to serve as a strategic analytics partner across the organization, translating complex data into actionable insights for Credit, Operations, Marketing, Product, Finance, Risk, and Compliance.

The role involves working with large datasets in a cloud-based environment, developing scalable analytics solutions, building dashboards, and uncovering trends to improve risk management and business performance.

Qualifications

• 7+ years of experience in business intelligence, data analytics, or related field, preferably in 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 dashboards for business users and executives.
• 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 translate complex datasets and analyses into meaningful business insights and actionable recommendations.
• Excellent written and verbal communication skills with ability to present technical concepts to diverse audiences.

Responsibilities

• 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 Fulfilment 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 optimisation 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.

Skills

SQL

Snowflake

Tableau

Python or R

Databricks

Git/GitHub

Analytical thinking

Communication

Cross-functional collaboration

Tools

Snowflake

Databricks

dbt

GitHub

Spark

Job description

Carex Consulting Group is seeking a Senior Manager of Data Strategy & Analytics to serve as a strategic analytics partner across the organization, translating complex data into actionable insights for Credit, Operations, Marketing, Product, Finance, Risk, and Compliance.

The role involves working with large datasets in a cloud-based environment, developing scalable analytics solutions, building dashboards, and uncovering trends to improve risk management and business performance.