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Slice

Analyst, Sales Ops

Reposted 9 Days Ago
Remote
Hiring Remotely in US
75K-90K Annually
Mid level
Remote
Hiring Remotely in US
75K-90K Annually
Mid level
Support sales leadership with planning, territory design, forecasting, and quota setting. Analyze performance, maintain CRM data integrity, build dashboards, optimize processes, assist deal execution, and drive cross-functional enablement and special projects to improve sales productivity and revenue.
The summary above was generated by AI

Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfill this valuable mission. That’s where you come in.

The Role:

We’re looking for a highly analytical, execution-focused Analyst, Sales Ops to help scale and optimize our sales organization. This role sits at the intersection of strategy, analytics, systems, and day-to-day sales execution. You’ll partner closely with Sales, Sales Operations, Finance, and Leadership to improve performance, drive efficiency, and support data-driven decision-making.

This is an ideal role for someone who loves turning data into action, building scalable processes, and influencing outcomes.

What You'll Do:

  • Support sales leadership in annual and quarterly planning, including territory design, capacity modeling, and quota setting
  • Analyze sales performance trends and identify opportunities to improve conversion, productivity, and revenue growth
  • Develop dashboards, forecasts, and reports to track pipeline health, attainment, and key KPIs
  • Assist with pricing, packaging, and go-to-market analyses as needed
  • Maintain and improve sales processes across the funnel (lead → opportunity → close)
  • Own CRM hygiene and data integrity; ensure accurate reporting and consistent usage
  • Partner with colleagues to implement and optimize tools, workflows, and automations
  • Support deal execution by assisting with approvals, discount analysis, and deal desk activities
  • Act as a strategic partner to Sales, Marketing, Finance, and Customer Success
  • Translate leadership goals into operational plans and measurable outcomes
  • Support sales enablement initiatives, including documentation, playbooks, and training materials
  • Identify inefficiencies and recommend process improvements
  • Ad hoc analysis and special projects to support leadership priorities

The Winning Recipe:

  • 1–4 years of experience in sales operations, strategy, consulting, analytics, or a related role
  • Strong analytical skills with the ability to interpret data and communicate insights clearly
  • Experience working with CRM systems (e.g., Salesforce, HubSpot)
  • Advanced Excel/Google Sheets skills; comfort with dashboards and reporting
  • Strong organizational skills and attention to detail
  • Ability to manage multiple projects in a fast-paced environment
  • Experience using AI tools
  • Familiarity with BI tools (Looker, Tableau, Power BI)
  • SQL or data querying experience
  • Excellent written and verbal communication skills, with the ability to present insights and recommendations clearly to stakeholders

The Extras:

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

  • Flexible PTO
  • Market leading medical, vision and dental insurance
  • 401K matching up to 4%
  • Wellness reimbursement/stipend
  • Weekly pizza stipend (Yes, that’s a thing!)

Salary Range: $75,000 to $90,000

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

The Hiring Process:

You’ll find a summary of the expected interview process below. We’ll stick to this as closely as possible, but please note this may be subject to change. This entire process is expected to take 2-3 weeks to complete and you’d be expected to start on a specific date.

  • Application
  • 30 minute introductory Recruiter meeting
  • 30 minute Hiring Manager interview
  • 30 minute Technical interview
  • 30 minute final Cultural Interview

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Privacy Notice Statement of Acknowledgment

When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations.

If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.

For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: [email protected]

Top Skills

Ai Tools
Excel
Google Sheets
Hubspot
Looker
Power BI
Salesforce
SQL
Tableau

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