Monetization Analytics Manager at roller software

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Pricing Analytics, Monetization Analytics, Data Analysis, Modeling, Dashboarding, SQL, Tableau, Looker, Power BI, Customer Analytics, Financial Modeling, Statistical Analysis, Communication Skills, Collaboration, MBA, Advanced Degree

Industry

Software Development

Description

About ROLLER ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes. But here's the best part: our team. We're a group of 290+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way. We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER! About the Role We’re building the foundation to optimize pricing, validate ROI, and scale monetization insights across the business. This role sits at the intersection of data, pricing, and go-to-market execution, ensuring our teams have the insights and tools needed to maximize revenue impact. You’ll join a growing Pricing & Monetization team at a pivotal time, shaping the data strategy that underpins how we price, package, and scale. Working cross-functionally with Product Ops, Sales, Data, and Business Value Consulting, you’ll be the go-to expert for monetization analytics, dashboards, and pricing measurement frameworks. If you thrive in a fast-paced environment, love working with data, and want to directly influence pricing and growth strategy, this role will give you the opportunity to make a visible, high-impact contribution. What You’ll Do Data & Infrastructure Build and maintain monetization-specific data models and dashboards in partnership with Product Ops and Data. Ensure data quality, consistency, and aligned definitions across teams. Pricing & ROI Measurement Support BVC with pilot deal baselining using customer analytics tools (e.g., Google Analytics) and revenue benchmarks. Track and report on key pricing metrics such as ASP, attach rates, discount frequency, and sales motion efficiency. Design automated alerts and exception reports to flag deal-level outliers. Enablement & Self-Service Automate data inputs for AE and SE self-service ROI calculators. Provide ad-hoc analytical support for QBRs, vertical reviews, and strategic deep dives. Strategy & Experimentation Conduct vertical- and segment-level analysis to inform pricing strategy. Support pricing tests and experiments with statistical rigor, ensuring reliable, actionable insights. What You Bring 5+ years of experience in pricing analytics or monetization analytics, ideally in software/SaaS or e-commerce. Strong skills in data analysis, modeling, and dashboarding (SQL, Tableau, Looker, Power BI, or similar). Experience with customer analytics tools (e.g., Google Analytics) and financial modeling. Proven ability to conduct rigorous statistical analysis and translate findings into actionable insights. Excellent communication skills — able to simplify complex data for non-technical stakeholders. Collaborative mindset with a track record of partnering across Product, Sales, and Data teams. Bonus: MBA or advanced degree in analytics, economics, finance, or related field. Perks! You get to work on a category-leading product that customers love in a fun, high-growth industry- check our Capterra and G2 reviews. 4 Weeks of Annual Leave and 4 ROLLER Recharge days per year (that is 4 additional days of leave that we all take off together as a team to rest and recuperate) Free medical insurance 401(K) Plan with a 100% match on contributions up to 5% Engage in our ‘Vibe Tribe’ - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns... you name it. We're willing to make it happen! Team member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more. 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers Highly flexible work environment with an All Access pass to WeWork depending on your location Work with a driven, fun, and switched-on team that likes to raise the bar in all we do. Individual learning & development budget plus genuine career growth opportunities as we continue to expand! What You Can Expect Initial call with our Talent Acquisition Manager You’ll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have. Interview with the Hiring Manager You will get to meet with our Head of Pricing to learn more about the role & ROLLER whilst also talking through your experience in more detail. Loop Interviews This is where you will get to meet our wider ROLLER team to do a ‘vibe check’ on us to make sure our culture & vibe meet what you are looking for! Offer If all lights are green and the fit feels right, we’ll conduct reference checks and you'll receive an offer to join!

Responsibilities

The Monetization Analytics Manager will build and maintain monetization-specific data models and dashboards, ensuring data quality and consistency across teams. They will also support pricing and ROI measurement, conduct analysis to inform pricing strategy, and enable self-service tools for the sales team.