Director, Data Analytics & Insights

GreatAmerica Financial ServicesCedar Rapids, IA
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 align data assets with enterprise priorities and play a key role in supporting Product teams. This 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.

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 with modern BI and analytics platforms (e.g., Tableau, Power BI, etc.)
  • 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 a plus

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 customers and business operations to align data and analytics efforts 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.
  • Owns, develops, and maintains executive dashboards and KPIs that provide clear visibility into enterprise performance.
  • Identifies trends, patterns, and emerging risks to inform proactive decision-making.
  • Synthesizes and communicates 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.
  • Defines and tracks metrics to measure the outcomes and impact of strategic initiatives.
  • Leads customer segmentation to better understand distinct customer groups and value drivers.
  • Develops and refines customer lifetime value models to inform growth and investment decisions.
  • Analyzes customer behavior to uncover insights that drive engagement, retention, and ability to sell multiple products.
  • Partners with Sales and Operations on Voice of the Customer programs to translate themes/data to outcomes that drive incremental value to our customers.
  • Delivers 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
  • Hybrid work arrangements
  • Business casual environment
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