Full-Time

Loyalty Marketing Data Analyst

Confirmed live in the last 24 hours

SageSure

SageSure

501-1,000 employees

Specialized insurance for high-risk coastal areas

Social Impact
Financial Services

Senior

Cincinnati, OH, USA

This position may require some in-office presence in Cincinnati.

Category
Data Management
Data Analysis
Data & Analytics
Required Skills
Python
R
SQL
Machine Learning
Tableau
Salesforce
Data Analysis
Excel/Numbers/Sheets
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.
Desired Qualifications
  • Familiarity with Salesforce Loyalty Management and other Salesforce products.
  • Experience in the insurance industry or a related field.
  • Major DOMO certifications.
  • Experience analyzing financial data.

SageSure offers insurance coverage for homeowners and small businesses in high-risk coastal areas, focusing on regions often neglected by traditional insurers. The company provides tailored insurance products that address the unique challenges of these markets, particularly those affected by natural disasters like hurricanes and floods. SageSure stands out due to its experienced team and commitment to serving underserved markets with competitively priced, high-quality insurance solutions. The goal is to ensure clients in these areas have access to reliable protection.

Company Stage

Debt Financing

Total Funding

$800M

Headquarters

Jersey City, New Jersey

Founded

2009

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

2%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of GeoVera expands SageSure's offerings to include earthquake insurance.
  • Increased demand for catastrophe bonds aligns with SageSure's active market participation.
  • Rising remote work trends present opportunities for new home office insurance products.

What critics are saying

  • Integration challenges from GeoVera acquisition may impact operational efficiency.
  • Increased competition in coastal insurance could affect SageSure's market share.
  • Collaboration with Markel may increase risk exposure in high-risk areas.

What makes SageSure unique

  • SageSure specializes in high-risk coastal markets, often overlooked by traditional insurers.
  • The company uses advanced technology for accurate risk assessment and competitive pricing.
  • SageSure offers over 50 insurance products through a vast network of 11,400 producers.

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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