Full-Time

Loyalty Marketing Data Analyst

Updated on 12/4/2024

SageSure

SageSure

501-1,000 employees

Specialized insurance for high-risk coastal areas

Data & Analytics
Financial Services

Mid, Senior

Cincinnati, OH, USA

Hybrid work available; requires some in-office presence.

Category
Data Science
Data Analysis
Data & Analytics
Growth & Marketing
Required Skills
Python
R
SQL
Tableau
Salesforce
Data Analysis
Requirements
  • A bachelor’s degree in Data Analytics, Statistics, Mathematics, Business, or a related field.
  • 5+ years of data analysis experience, focusing on loyalty, marketing, or related areas.
  • Expert in Excel and in BI tools such as Tableau, PowerBI, DOMO, or similar.
  • Expert in SQL queries and programming languages Python and R.
  • Proficient in machine learning and predictive modeling tools such as Pecan.
  • Strong analytical skills, with the ability to interpret complex data and provide actionable insights.
  • Experience with segmentation, predictive modeling, and other advanced data analysis techniques.
  • Excellent communication skills, with the ability to present data clearly and compellingly.
  • A proactive approach to problem-solving, with a keen eye for detail.
Responsibilities
  • Monitor and analyze data related to our loyalty programs, providing regular reports and actionable insights to stakeholders.
  • Track key performance indicators (KPIs) and metrics to evaluate the success of loyalty campaigns and initiatives aimed at our producers.
  • Identify trends, patterns, and opportunities within producer data to inform and optimize loyalty strategies.
  • Manage loyalty marketing databases, troubleshoot issues, and optimize performance.
  • Create and maintain dashboards and reports that provide clear, concise insights into loyalty program performance.
  • Present data findings to stakeholders in a way that is understandable and actionable, helping to inform decision-making.
  • Develop and maintain documentation for data processes, reports, and analyses.
  • Using advanced regression models, hypothesis testing, and machine learning algorithms, perform statistical analysis to identify patterns and make predictions that improve loyalty program performance and help inform strategic plans.
  • Using loyalty, production, financial and other data, build predictive data models to make predictions about future loyalty member trends and behavior.
  • Work closely with the Salesforce Loyalty System Admin to ensure data integrity and accuracy within the loyalty platform.
  • Collaborate with the Loyalty Project Manager to provide data-driven recommendations that support the successful execution of projects.
  • Partner with the Loyalty Marketing Manager to analyze campaign performance and producer engagement, driving continuous improvement.
  • Continuously seek ways to improve data collection, analysis, and reporting processes to enhance the efficiency and effectiveness of our loyalty programs.
  • Stay up-to-date with industry trends and best practices in data analytics, applying this knowledge to drive innovation in our loyalty initiatives.
  • Conduct producer segmentation analysis to identify and target key producer groups within our loyalty programs.
  • Provide insights into producer behavior, preferences, and trends to help personalize and optimize loyalty campaigns.
  • Proactively identify and manage project risks, addressing challenges before they impact timelines or outcomes.
  • Resolve any roadblocks quickly and efficiently, keeping projects on track and moving forward.

SageSure provides insurance coverage specifically for homeowners and small businesses located in high-risk coastal areas. The company offers tailored insurance products that address the unique challenges faced by these markets, particularly in regions prone to natural disasters like hurricanes and floods. SageSure's approach involves employing a team of experienced professionals who have extensive backgrounds in underwriting, product development, and customer service, allowing them to offer expert guidance to clients. Unlike traditional insurers that often avoid these high-risk areas, SageSure focuses on providing competitively priced, high-quality insurance solutions to underserved clients. The company's goal is to ensure that homeowners and small business owners in these regions have access to reliable insurance protection, filling a critical gap in the market.

Company Stage

Debt Financing

Total Funding

$800M

Headquarters

Jersey City, New Jersey

Founded

2009

Growth & Insights
Headcount

6 month growth

9%

1 year growth

28%

2 year growth

61%
Simplify Jobs

Simplify's Take

What believers are saying

  • SageSure's successful issuance of $1.2 billion in catastrophe bonds demonstrates strong financial backing and resilience.
  • The acquisition of GeoVera MGA enhances SageSure's capabilities in residential earthquake risk, expanding its market reach.
  • Partnerships with technology firms like Ecopia AI improve SageSure's precision in risk assessment and underwriting, leading to better customer service and operational efficiency.

What critics are saying

  • Operating in high-risk coastal areas exposes SageSure to significant financial losses from natural disasters.
  • The integration of acquired companies like GeoVera MGA may present challenges in aligning operations and corporate cultures.

What makes SageSure unique

  • SageSure specializes in high-risk, underserved coastal areas, a niche often avoided by traditional insurers.
  • The company leverages advanced technology and data analytics to accurately assess risks and competitively price its products, setting it apart from competitors.
  • SageSure's team of experienced professionals, many with over 30 years in the industry, provides expert guidance and support, enhancing client trust and satisfaction.

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Benefits

Fully stocked cafés with free snacks and beverages

Lounges with shuffleboard, billiards and board games

Access to in-office gyms

Organized and ad hoc social events

Medical (HSA, EPO, PPO)

Dental

Vision

401(k) with company match

Profit-sharing bonus program

Life insurance

Short-term and long-term disability

Up to 160 hours of paid time off per year, plus floating holidays

Paid holidays

8 hours of volunteer time off per year

Gym reimbursement

Tuition reimbursement toward education, licensing and certifications

Employee assistance program with access to free and confidential counseling