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The Role
Lead and build the Customer Experience analytics function, owning CX data strategy, BI, forecasting, capacity planning, operational analytics, and executive reporting. Translate large datasets into actionable insights, predictive models, and staffing forecasts, measure AI and human interactions, identify journey inefficiencies, and quantify CX impact on revenue while partnering with CX, Finance, and Data teams.
Summary Generated by Built In
Small businesses represent 99.9% of all companies, yet they're still forced to choose between clunky, outdated enterprise phone systems or their personal phones. This multi-billion dollar market has been overlooked for decades, left to cobble together solutions that slow them down instead of helping them grow.
Quo is changing that. We bring calls, texts, and customer information together into one easy-to-use, AI-powered platform. We’re not just building a phone system. We’re setting a new standard for how businesses connect with their customers.
Driven by our values, we move fast, build with determination, and obsess over delivering value to the businesses that have been underserved for far too long.
Today, Quo is trusted by more than 90,000 companies and rated #1 in customer satisfaction on G2. We’re backed by Y Combinator, Tiger Global, Craft Ventures, Slow Ventures, and other top-tier investors. It’s safe to say we’re onto something big.
About the roleWe are looking for a Sr. CX Ops Analyst to build and lead the analytics function for Customer Experience. This role will serve as the primary owner of CX data strategy, business intelligence, operational analytics, capacity planning, forecasting, and executive reporting.
You will transform large volumes of customer, operational, and revenue data into actionable insights that improve customer outcomes, increase operational efficiency, and drive business growth. You will partner closely with CX, Finance, and Data teams to ensure Customer Experience is both data-driven and directly connected to company performance.
As AI becomes increasingly embedded in the customer journey, this role will also establish the measurement frameworks necessary to evaluate and optimize both human and AI-driven customer interactions.
- Own the CX analytics strategy, including KPIs, reporting frameworks, and dashboards for leaders and executives
- Deliver monthly and quarterly business reviews, translating complex data into clear recommendations that drive strategic decisions
- Develop predictive models to identify future bottlenecks, customer experience risks, churn, and retention indicators
- Forecast contact volume across all channels (phone, chat, email, SMS, porting, AI) and build capacity and staffing models accounting for queue dynamics, occupancy, shrinkage, and utilization to hit SLA targets
- Identify inefficiencies in customer journeys and operational workflows; partner with leaders to redesign processes and measure impact on resolution times, service levels, and customer satisfaction
- Measure and quantify the impact of CX initiatives on ARR, customer lifetime value, and revenue growth, partnering with Revenue and Finance teams
- Create scenario planning frameworks to support annual planning and strategic decision making
About you
- 7+ years of experience in Analytics, Business Intelligence, Operations Analytics, Customer Operations, or related fields.
- 3+ years leading analytics teams, programs, or strategic initiatives.
- Experience supporting customer-facing organizations such as Support, Contact Centers, Customer Success, Revenue Operations, or Customer Operations.
- Demonstrated success building forecasting models, executive reporting frameworks, and operational analytics programs.
- Strong business acumen with the ability to connect operational metrics to company outcomes.
- Advanced SQL and data modeling experience.
- Strong experience with BI and visualization platforms such as Mode, Tableau, Sigma, Looker, or Power BI.
- Experience working with large datasets and performing statistical analysis.
- Strong understanding of forecasting methodologies, workforce planning models, and predictive analytics.
- Experience with experimentation, trend analysis, cohort analysis, and customer segmentation.
- Familiarity with AI performance analytics and automation reporting.
- Experience in SaaS, telecommunications, contact center, or high-growth technology environments.
- Experience with Zendesk, Mode, Retool, Snowflake, or similar platforms.
- Knowledge of customer journey analytics, customer health scoring, and retention modeling.
- Experience partnering with Finance and Revenue Operations on planning and forecasting processes.
- Workforce management or capacity planning experience layered on top of strong analytics.
Compensation
The annual base salary range for this position is $119,000 - $140,000 USD, plus equity and benefits.
The ranges displayed reflect the target for new hire salaries, and within each range, individual pay is determined by your skills and experience, as well as relevant education. Your recruiter can share more and answer questions about the specific salary range during the hiring process.
Salary is just one component of Quo’s total compensation package. Your total rewards package will include equity, extensive medical coverage, a monthly lifestyle stipend, and a flexible PTO policy.
Who we areAs a fully remote company, we thrive as a team. We are curious, ambitious, and dedicated to our work. We value trust above all else, and have a strong bias for action. If you're looking for a place to do your life's work, please get in touch. We'd love to hear from you.
And remember, there's no such thing as a 'perfect' candidate. We're looking for optimists with grit and determination, who are excited to face the challenges of a growing startup. Quo is the type of company where you can grow, and we encourage you to apply for this role even if you don't think you meet all the requirements.
We are committed to creating an inclusive and diverse work environment. It is important that you are able to bring your authentic self to work every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Remote #PostLI
Skills Required
- 7+ years of experience in Analytics, Business Intelligence, Operations Analytics, Customer Operations, or related fields
- 3+ years leading analytics teams, programs, or strategic initiatives
- Experience supporting customer-facing organizations such as Support, Contact Centers, Customer Success, Revenue Operations, or Customer Operations
- Demonstrated success building forecasting models, executive reporting frameworks, and operational analytics programs
- Strong business acumen with the ability to connect operational metrics to company outcomes
- Advanced SQL and data modeling experience
- Strong experience with BI and visualization platforms such as Mode, Tableau, Sigma, Looker, or Power BI
- Experience working with large datasets and performing statistical analysis
- Strong understanding of forecasting methodologies, workforce planning models, and predictive analytics
- Experience with experimentation, trend analysis, cohort analysis, and customer segmentation
- Familiarity with AI performance analytics and automation reporting
- Experience in SaaS, telecommunications, contact center, or high-growth technology environments
- Experience with Zendesk, Mode, Retool, Snowflake, or similar platforms
- Knowledge of customer journey analytics, customer health scoring, and retention modeling
- Experience partnering with Finance and Revenue Operations on planning and forecasting processes
- Workforce management or capacity planning experience layered on top of strong analytics
Quo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quo and has not been reviewed or approved by Quo.
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Fair & Transparent Compensation — Feedback suggests pay is positioned as fair and transparent, with the company stating it pays well and fairly with transparent compensation practices. Publicly stated bands and equity references indicate a structured approach.
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Healthcare Strength — Feedback suggests medical, dental, and vision coverage is comprehensive. This strong core health coverage underpins overall wellbeing support.
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Leave & Time Off Breadth — Feedback suggests time off includes unlimited PTO and sick leave, with pay continuing during these periods. Additional paid leave is available to care for loved ones or welcome a new family member.
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The Company
What We Do
Quo is a modern business phone system that brings all your calls, texts, and customer information together in one easy-to-use, AI-powered platform. It helps your team stay organized and respond faster, so you can give every customer a great experience. AI handles busywork like logging calls, organizing messages, answering FAQs, and seamlessly hands off conversations to your team when needed. Whether you’re running a small business or growing quickly, Quo makes it easy to stay connected and support more customers.
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