At American Equity Investment Life Holding Company®we offer leading annuity products that help empower our clients to fulfill their needs and wants in retirement. Our success comes from hiring high-energy individuals who embody the beliefs that drive our unique culture. We currently fund over half a million retirements nationwide, and have been headquartered in West Des Moines, Iowa, for over twenty-five years with satellite offices in Charlotte, NC and New York, NY.

EDUCATION AND/OR EXPERIENCE:

• Required:
• Bachelor’s degree in data science, mathematics, finance, computer science or a related field; or equivalent experience.
• Two (2) or more years of experience in a data analysis or business analyst role.
• Strong proficiency in SQL, Snowflake, and data visualization tools (e.g., Tableau, Power BI).
• Preferred:
• Demonstrated understanding of technical annuity product system design
• Expertise in communicating within stakeholder working sessions ranging from front line team members to department leadership.

KNOWLEDGE, SKILLS AND ABILITIES:

• Excellent analytical and problem-solving skills.
• Naturally curious with the ability to drive business decisions and solutions
• Proactive self-starter with demonstrated ability to manage priorities through effective time management skills
• Strong execution background with the ability to prioritize solutions for business needs.
• Effective verbal and written communication skills; ability to draft and deliver executive summaries and respond to questions.
• Ability to define problems, collect data, establish facts, and draw valid conclusions demonstrating both strong analytical and synthesis skills.
• Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.
• Ability to successfully handle pressure and meet deadlines in a fast-paced work environment.
• Take conceptual or broad guidance and develop into concrete goals or multiple scenarios for further refinement and testing of alternate approaches before finalization of eventual default path for execution.
  This description covers the major purpose and essential functions of the job. It is not intended to give all details or a step-by-step account of the way each task is to be performed. Employees may receive other job related instructions and be required to perform other job related work requested by their manager. All requirements are subject to possible modification to provide reasonable accommodation to qualified individuals with disabilities.
  

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GENERAL PURPOSE OF THE JOB:

The Data Analyst supports Operations data analytics and reporting activities, including responsibility for defining data needs, gathering requirements, and building streamlined data visualization solutions following best practices and standards. As a key member of our Operations Analytics team, the role influences data-driven decisions across the organization, performs data manipulation and dataset preparation for analysis and summarizes information in a logical and understandable format. Communication and collaboration are critical as the role partners with cross-functional teams to understand operational challenges, analyze data to uncover insights, and develop actionable recommendations to improve performance.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Data Analysis & Insights:
• Conducts in-depth analysis of operational data to identify trends, patterns, and anomalies.
• Develops and maintains data models and visualizations to communicate findings effectively.
• Prepares data reports and dashboards to track key performance indicators (KPIs) and monitor operational performance.
• Problem Solving & Solutions:
• Collaborates with stakeholders to define and prioritize business problems.
• Develops and recommends data-driven solutions to improve operational efficiency, reduce costs, and enhance customer experience.
• Proactively identifies areas for improvement and proposes innovative solutions.
• Communication & Collaboration:
• Effectively communicates complex data analysis findings to both technical and non-technical audiences.
• Builds and maintains strong relationships with business stakeholders across different departments.
• Presents data-driven insights and recommendations to leadership

SUPERVISORY RESPONSIBILITIES

Direct Reports: None
General Description of Indirect Reports (2 and 3-downs): None