Director, Data Analytics & Insights
Job in
Cedar Rapids, Linn County, Iowa, 52404, USA
Listed on 2026-07-13
Listing for:
SwiftCruit
Full Time
position Listed on 2026-07-13
Job specializations:
-
IT/Tech
Data Analyst, Business Intelligence, Business Systems & Technology Analysis
Job Description & How to Apply Below
Company Overview
Great America Financial Services is a highly successful entrepreneurial company providing equipment financing to businesses across the United States. Our exemplary customer service, principle-centered business philosophy and team‑based operating approach are key to our success and growth.
Responsibilities Strategy & Business Impact- Define and execute an enterprise data & analytics strategy aligned to business priorities.
- Leads and partners with executive leadership and key stakeholders to identify and prioritize high‑value data and analytics initiatives across the enterprise, balancing requests from Product and non‑Product teams, and partnering closely with the SVP of Operations to align efforts with product strategy, customer impact, and overall business priorities for growth, efficiency, and risk management.
- Establishes and evolves the operating model for enterprise analytics, including intake, prioritization, governance, and capacity planning.
- Develops a deep understanding of our customers and how our business operates to ensure data and analytics efforts are aligned with real‑world needs, operational drivers, and opportunities to enhance customer experience and performance.
- Builds strong partnerships across Product, Operations, Technology, Finance, Risk, Legal, Compliance, and other key functions.
- Establishes success metrics (adoption, business impact, decision velocity) and drives measurable outcomes from analytics investments.
- Own, develop and maintain executive dashboards and KPIs that provide clear visibility into enterprise performance (e.g., enterprise activity dashboard, ROA analysis).
- Suggest actions and outcomes based on results.
- Identify trends, patterns, and emerging risks to inform proactive decision‑making.
- Synthesize and communicate the enterprise performance story to executive leadership.
- Translate complex data into clear executive narratives, recommendations, and decision support for senior leadership and board‑level discussions.
- Define and track metrics to measure the outcomes and impact of strategic initiatives.
- Lead customer segmentation to better understand distinct customer groups and value drivers.
- Develop and refine customer lifetime value models to inform growth and investment decisions.
- Analyze customer behavior to uncover insights that drive engagement, retention, and ability to sell multiple products.
- Partner with Sales and Operations on Voice of the Customer programs to translate themes/data to outcomes that drive incremental value to our customers.
- Deliver retention and growth analytics to identify opportunities to improve customer loyalty and expand relationships.
- Champion scalable self‑service analytics capabilities, design standards, and data literacy efforts that enable leaders and teams to confidently use data in day‑to‑day decision‑making.
- Partner with advanced analytics and data science teams to operationalize insights and integrate predictive capabilities into business processes.
- Ensure consistent definitions, metrics governance, and trusted data sources across the enterprise.
- Partner across business and technology teams to strengthen enterprise data governance practices, including stewardship, data quality, metadata, lineage, access controls, and consistent use of trusted data assets.
- Apply enterprise data definitions and governance standards.
- Partner with Data Governance to ensure data quality and consistency.
- Leverage governed data assets to deliver insights.
- Lead, develop, and scale a high‑performing analytics organization (BI, analysts, and potentially data product roles).
- Establish role clarity, career paths, and capability models across analytics disciplines.
- Oversee hiring, performance management, and succession planning for the function.
- Build enterprise data literacy through structured enablement and training programs.
- Bachelor’s degree in Business Analytics, Finance, Math, Information Systems, Statistics, or relevant field.
- 8+ years of experience in data, analytics, or business intelligence roles.
- 5+…
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