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Manager Marketing Analytics

5 months ago

Framingham, United States Staples Full time

Loyalty Analytics Manager

*3 Month Contract*

*This is a temporary position (3 months) which may transition to an associate role at the end of the term.

The Loyalty Analytics Manager is core to activating our loyalty-driven business growth strategy. This person will play a critical role in ensuring the customer is at the center of everything we do and will help us analyze and solve complex business questions in support of the Easy Rewards loyalty program.

Reporting to the Director of Loyalty Performance, the candidate will be responsible for leveraging analytical approaches to drive data-based decision making. They must be comfortable mining and working with complex data sets to turn large amounts of information into actionable insights. They’ll help us develop and fine-tune strategic frameworks in support of driving Easy Rewards customer engagement, retention, and overall customer lifetime value. This candidate will work closely with cross-functional teams including business analytics, merchandising, marketing, portfolio management, loyalty operations, and customer insights, among others. Both qualitative and quantitative insights will be leveraged to inform the business strategy and tactics.

Responsibilities

Utilize data analytics techniques to extract, clean, and analyze data related to Easy Rewards loyalty program participation and engagement.

Assist in monitoring the performance of the Easy Rewards program with an intense focus on customer engagement and activity, helping to identify areas for improvement or optimization.

Continuously monitor and evaluate the effectiveness of the Easy Rewards program; leverage data to identify opportunities for improvement or innovation and propose ideas to drive customer loyalty.

Provide both standardized and ad-hoc data & analytical support for program operations and strategic planning needs.

Monitor program data quality and integrity, troubleshooting issues as they arise and escalating to leadership as necessary.

Qualifications

Previous analytics and insights experience working with large data sets, including experience with segmentation and customer decision journeys.

Demonstrates solid understanding of data, customer profiles and segmentation in conjunction with analytics, customer data collection, and personalization.

Experience synthesizing multiple data sources (primary insights, transactional, customer, and third-party data) to drive strategic recommendations.

Strong communication skills that allow you to effectively convey complex findings to non-technical stakeholders.

Ability to work cross-functionally and collaboratively.

Requirements

4-year undergraduate degree in a quantitative program (mathematics, economics, engineering, etc.).

4+ years driving analytics and extracting findings to provide decision-making support to the business.

Strong proficiency in data analytics tools is a must (e.g. SQL, Excel, Tableau, Power BI), with keen ability to synthesize the findings into actionable insights.

Must demonstrate experience scoping problems, defining hypothesis, pulling & analyzing data, and presenting findings to executives.

Strong project management and communication skills required.

Experience building financial and analytical models.

Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment.

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