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Rewards Analytics & Operations Manager

WorldLink US
Ridgefield Park, United Statesfull_timeVerifiedPosted 28 Nov 2024

About the role

TITLE: Rewards Analytics & Operations Manager

POSITION TYPE: Full Time (W2)

LOCATION: Ridgefield Park, NJ



ABOUT WorldLink:

WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow.

Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning.

We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition. We're passionate, and we love tough problems and new challenges. You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.

For more information about our craft, visit https://worldlink-us.com .

WHO we’re looking for:

We are looking for a Rewards Analytics & Operations Manager who will be responsible for driving data-driven decision-making and optimizing the Rewards program. You will leverage advanced analytics techniques to uncover insights, measure performance, and identify opportunities to enhance customer engagement and loyalty.

Role and Responsibilities:

Data Analysis & Reporting:
  • Develop and implement a comprehensive data analytics framework to track key performance indicators (KPIs) and measure program effectiveness.
  • Conduct in-depth data analysis to identify trends, patterns, and correlations in customer behavior.
  • Utilize advanced statistical techniques (e.g., regression analysis, time series analysis) to forecast future trends and make data-driven recommendations.
  • Build and maintain data visualizations and dashboards to communicate insights to stakeholders effectively.
Program Optimization:
  • Collaborate with cross-functional teams to optimize program mechanics, such as point accrual, redemption, and expiration rules.
  • Analyze customer segmentation and targeting strategies to improve campaign effectiveness and personalization.
  • Conduct A/B testi

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Company

WorldLink US

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