Director, Data Analytics & Insights

GreatAmerica • Cedar Rapids, IA

1d • Hybrid

About The Position

GreatAmerica Financial Services is seeking a Director, Data, Analytics and Insights to lead enterprise analytics and customer insights strategy. This role is responsible for driving business performance through scalable data capabilities, delivering high-quality insights and decision support, and fostering a data-driven culture. The Director will partner with Technology to ensure data assets align with enterprise priorities and play a key role in supporting Product teams. The position involves defining and executing an enterprise data & analytics strategy, leading executive leadership engagement, establishing an operating model for enterprise analytics, and building strong cross-functional partnerships. Success will be measured by adoption, business impact, and decision velocity. The role also involves owning executive dashboards, identifying trends and risks, and communicating the enterprise performance story. Customer insights will be developed through segmentation, lifetime value modeling, and behavior analysis. The Director will champion self-service analytics, ensure consistent data definitions and governance, and lead a high-performing analytics organization, including hiring, performance management, and succession planning. They will also build enterprise data literacy through enablement and training programs.

Requirements

• 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+ years of experience leading teams or enterprise-level initiatives
• Experience defining and executing data & analytics strategies at scale
• Experience partnering with senior business leaders and driving cross-functional outcomes
• Experience working in an agile or product-based delivery model preferred
• Experience with modern BI and analytics platforms (e.g., Tableau, Power BI, etc.)
• Working knowledge of data querying and data models (SQL or equivalent)
• Familiarity with data architecture concepts, pipelines, and analytics ecosystems
• Experience working within modern cloud-based data and analytics ecosystems and partnering with technology teams on scalable data platform capabilities preferred.
• Strong business acumen with ability to translate data into actionable insights
• Ability to balance strategic leadership with operational execution
• Strong prioritization and decision-making skills
• Extensive experience with data visualization tools such as Tableau, QlikView, Power BI etc.
• Experience with Microsoft SQL and ability to acquire data sets via moderately complex queries
• High level of proficiency with Microsoft Office suite
• Experience with reporting capabilities within SalesForce a plus
• Strong business acumen with the desire to understand the core drivers of business behaviors
• Sense of accountability for the timely delivery of high quality, consistent information visualization at the enterprise level
• Accountability for delivering measurable business value from analytics investments
• Ability to operate in a fast-paced, evolving environment while driving organizational change
• Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.

Nice To Haves

• Experience working in an agile or product-based delivery model
• Experience working within modern cloud-based data and analytics ecosystems and partnering with technology teams on scalable data platform capabilities
• Experience with reporting capabilities within SalesForce

Responsibilities

• Defines and executes 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.
• 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.
• 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.
• 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.
• Translates 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.
• Champions scalable self-service analytics capabilities, design standards, and data literacy efforts.
• Partners with advanced analytics and data science teams to operationalize insights and integrate predictive capabilities into business processes.
• Ensures consistent definitions, metrics governance, and trusted data sources across the enterprise.
• Partners 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.
• Applies enterprise data definitions and governance standards.
• Partners with Data Governance to ensure data quality and consistency.
• Leverages governed data assets to deliver insights.
• Leads, develops, and scales a high-performing analytics organization (BI, analysts, and potentially data product roles).
• Establishes role clarity, career paths, and capability models across analytics disciplines.
• Oversees hiring, performance management, and succession planning for the function.
• Builds enterprise data literacy through structured enablement and training programs.

Benefits

• Competitive Compensation
• Monthly Bonuses for Eligible Employees
• 401(k) and Company Match
• Annual Profit Sharing
• Paid Time Off
• Paid Vacation - starting at 80 hours annually for employees in their first year of service.
• Paid Sick Days - Ten (10) per year with a conversion option for unused time.
• Ten (10) Paid Holidays per year
• Gym Reimbursement
• Health Insurance
• Dental Insurance
• Vision Insurance
• Short-Term and Long Term Disability
• Company Paid Life Insurance
• Flexible Spending Accounts (FSA)
• Health Savings Accounts (HSA)
• Employee Assistance Program
• Parental Leave
• Tuition Assistance
• Networking Opportunities
• Leadership Development Opportunities
• Paid Parking
• Service Awards

What This Job Offers

• Job Type: Full-time
• Career Level: Director