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Customer Experience Analyst

Job in Boston, Suffolk County, Massachusetts, 02108, USA
Listing for: Simplisafe
Full Time position
Listed on 2026-07-31
Job specializations:
  • Business
    Data Analyst, Data Scientist
Job Description & How to Apply Below

Customer Experience Analyst

Boston, MA

About Simpli Safe

We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect.

We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week.

We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why Are We Hiring?

Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

About The Job

The Simpli Safe CX Analytics team is looking for a Senior Analyst to co-own performance for our rapidly growing Telesales and Loyalty channels — both key strategic priorities for Simpli Safe's future growth. In this role, you won't just measure a team of 150+ agents driving new customer acquisition and subscriber retention — you will help set the strategy that determines whether they succeed.

This is a unique opportunity to build deep, sustained fluency in how Telesales and Loyalty actually operate — and to use that fluency to identify what the business should be doing differently, not just report on what it did. You will define the KPIs that matter, understand what truly drives them, forecast where they're headed, and then support experiments aimed at identifying the right tactics to beat that forecast.

You will share accountability for the outcome with Operational leadership, not just for the accuracy of the analysis. Your responsibilities will include:

  • Own the full KPI lifecycle for Telesales and Loyalty performance: define the right KPIs at the channel and agent level, build and maintain the forecasts for them, and develop a deep understanding of what drives them
  • Originate and lead experimentation aimed at beating those forecasts — partnering with the business to identify test ideas and ensuring rigorous setup and measurement so the business can trust the read
  • Get close enough to the operation — the agents, the workflows, the day-to-day realities of Telesales and Loyalty — to spot risks and opportunities Operations can't see from the inside, and bring recommendations to leadership before they ask
  • Share accountability with Operational leadership for the business results, not just the integrity of the analysis — success is measured by whether Telesales and Loyalty performance improves, not just whether the reporting is right
  • Serve as data steward for the datasets underlying these KPIs, and use AI tools and automation to eliminate as much manual reporting and one-off analysis as possible — reinvesting that time into the work above
Qualifications:
  • BS in a quantitative field or equivalent experience (Computer Science, Statistics, Mathematics, Operations Research, Mechanical Engineering, Physics, or related field)
  • 5+ years of equivalent experience, or Masters + 3 years
  • Strong technical skills, including experience with query and data visualization tools. SQL and Excel are core requirements; experience with Tableau, Hex, or programming languages (Python, R, etc.) is a plus
  • Track record of proposing ideas and driving them to business impact, not just delivering requested analysis — comfortable being judged on whether the business outcome moved, not only on whether the work was correct
  • Experience designing and running experiments or pilots — including forming the hypothesis, not just measuring someone else's
  • Strong analytical and creative problem-solving skills, with extreme attention to detail
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