Location(s)
Alpharetta, Georgia, Dallas, Texas, Downers Grove, Illinois, Jacksonville, Florida, P&C-River Run Drive-Birmingham-AL
Details
Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

SUMMARY:

We are looking for an energetic professional with strong conceptualization and analysis skills, as well as an interest in future management roles. This role is for an individual that spans between business and technology – solving for business opportunities and challenges using data as a tool. This is an individual who gains a deep understanding of an area of the business, helps design logical data structures to represent it holistically, and communicates those structures to technology teams who implement. This person works closely with business leaders, analysts, application developers, data warehouse developers, and architects to drive data-centric solutions and data-centric components of broader solutions from idea to implementation. This creates focused data solutions, such as marts and reporting layers, for its area of the business. A successful candidate in this role is goal-oriented, contextually-aware, collaborative, and open minded. A strong ability to articulate concepts in ways that are understood by both business and technology resources, and an ability to foster effective communication between business and technology resources are required for success.

QUALIFICATIONS:

• The successful candidate will likely have some combination of these qualifications, experiences, and skills.
• 5+ years in roles like analyst, developer, data architect, or consultant delivering data-centric solutions or has been the “person in the business who does data” regardless of formal role.
• Degree in a technical or business field (e.g., Engineering, Finance, Computer Science, Statistics); dual degrees in both a plus.
• Proficient in SQL, Python, or similar, and BI tools (e.g., Power BI / Tableau).
• Strong grasp of logical data and business architecture concepts.
• Skilled in solution ideation, concise communication, and fostering cross-disciplinary collaboration.
• Detail-oriented, assertive, adaptable, and business-outcome focused, with a balance of innovation and practicality.
• Comfortable with ambiguity and presenting to all levels.
• Embraces change and is a change agent
• Hybrid (Chicago) or remote (US-based). No sponsorship
  Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.
  Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.
  Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.
  

  LI-WH-1

• Work as a subject matter expert for business data within projects ranging from small efforts to major transformations
• Collaborate with business leaders to ideate data-centric solutions and define logical data structures.
• Understand the data landscape, lifecycle, and software for the business area.
• Align tactical decisions with business strategy and goals.
• Partner with tech teams (data architecture, app/data warehouse development) to ensure solutions meet business needs.
• Create detailed requirements and custom data assets (e.g., data marts, BI layers) for analysts and data scientists.
• Identifies opportunities to obtain and leverage external data sources to solve business problems.