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Sales Ops Jobs in Georgia (NOW HIRING)

Provide project coordination support across Rev Ops and Sales Ops initiatives, including timelines, action items, dependencies, and stakeholder communications. * Track project milestones, risks, and ...

Customer Sales Representative

Alpharetta, GA ยท On-site

$740 - $960/wk

Work closely with Sales, Marketing, and Sales Ops teams to find, nurture, and qualify potential new customer sales * Explain Curve Dental's approach to delivering an industry-leading SaaS solution ...

Collaborate with the forecasting & sales Ops team to optimize production mix and warehouse distribution, and ensure coordination with Sales Ops on KIT quantities to support production needs. * Drive ...

Administer the Sales Ops SharePoint environment including content organization and permissions management Commission & Compensation Support * Administer and maintain rep records in the commission ...

Administer the Sales Ops SharePoint environment including content organization and permissions management Commission & Compensation Support * Administer and maintain rep records in the commission ...

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Showing results 1-20

Sales Ops information

See Georgia salary details

$12.2K

$41.8K

$56.2K

How much do sales ops jobs pay per year?

As of Aug 6, 2026, the average yearly pay for sales ops in Georgia is $41,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $45,200.00 per year, depending on experience, location, and employer.

What is the difference between Sales Ops vs Sales Analyst?

AspectSales OpsSales Analyst
Required CredentialsBachelor's degree, experience in sales or operationsBachelor's degree, strong analytical skills, often in business or finance
Work EnvironmentCross-functional teams, strategic planning, process optimizationData analysis, reporting, sales performance tracking
Employer & Industry UsageCommon in sales organizations across industriesUsed in sales departments for performance analysis

Sales Ops professionals focus on optimizing sales processes, strategy, and tools, while Sales Analysts primarily analyze sales data to inform decision-making. Both roles are essential in sales organizations but differ in scope and daily responsibilities.

How to break into sales operations?

Breaking into sales operations typically requires a background in sales, marketing, or business analysis, along with strong analytical skills and proficiency with CRM tools like Salesforce. Gaining relevant experience through internships, certifications such as Salesforce Administrator, and understanding sales processes can improve your chances of entering the field.

Is sales operations a stressful job?

Sales operations can be demanding due to the need to manage data, optimize sales processes, and support sales teams, often requiring attention to detail and problem-solving skills. The workload may fluctuate with sales cycles and organizational goals, but many professionals find the role rewarding and manageable with proper time management and tools like CRM systems.

What is a Sales Ops?

Sales Ops, short for Sales Operations, refers to the team or function within a company that supports and enables sales teams to be more effective and efficient. They handle tasks such as managing sales data, streamlining processes, implementing technology, and analyzing performance metrics. By removing obstacles and optimizing processes, Sales Ops helps salespeople focus on selling and achieving revenue targets. This role often collaborates with other departments like marketing and finance to align business strategies.

What are the key skills and qualifications needed to thrive as a Sales Ops professional, and why are they important?

To thrive as a Sales Ops professional, you need strong analytical skills, process optimization abilities, and a background in business or sales, often supported by a relevant degree. Familiarity with CRM systems like Salesforce, data analysis tools such as Excel or Tableau, and experience with sales enablement platforms are typically required. Excellent communication, problem-solving abilities, and attention to detail help Sales Ops professionals collaborate across teams and drive efficiency. These skills are crucial for streamlining sales processes, enabling data-driven decisions, and supporting overall sales effectiveness.

How does a Sales Ops professional typically support collaboration between sales and other departments?

Sales Ops professionals are instrumental in bridging the gap between sales teams and other departments such as marketing, finance, and customer success. They coordinate processes, streamline communication, and ensure that workflows are optimized for efficiency. This often involves managing CRM data, facilitating sales forecasting, and aligning sales strategies with company-wide initiatives. By fostering cross-functional collaboration, Sales Ops helps teams work toward shared goals and improves overall business performance.
What cities in Georgia are hiring for Sales Ops jobs? Cities in Georgia with the most Sales Ops job openings:
Infographic showing various Sales Ops job openings in Georgia as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $41,752 per year, or $20.1 per hour.

Analytics Engineer (Sales Ops)

BlueSky Resource Solutions

Suwanee, GA โ€ข On-site

Other

Posted 7 days ago


Job description

The is a hybrid opportunity with 4-days onsite in Suwanee. Candidates MUST be local to the Atlanta area. This role is not open to C2C, OPT, or any Visa consideration. No vendor support of any kind allowed.


JOB DESCRIPTION

Core Job Requirements

  • 5+ years of experience in analytics engineering, data engineering, or advanced business intelligence roles within a modern data stack environment
  • Advanced proficiency in SQL with demonstrated experience building performance, well-modeled analytical datasets
  • Hands-on experience with dbt for analytics-layer modeling, testing, and documentation
  • Experience working with cloud data warehouses, preferably Snowflake, including performance tuning and cost-aware design
  • Strong understanding of analytics engineering best practices, including:
  • Star and snowflake schemas
  • Incremental models
  • Fact / dimension separation
  • Medallion Architecture
  • Experience working in a CI/CD-driven analytics environment, including version control, code review, and deployment pipelines
  • Proven ability to partner closely with business stakeholders to translate requirements into trusted analytical assets
  • Bachelorโ€™s degree in Analytics, Information Systems, Computer Science, Mathematics, Finance, or equivalent practical experience


Sales Operations Domain Expertise (Required Emphasis)

  • Proven experience supporting Sales Operations, Revenue Operations, or Commercial Analytics functions
  • Strong knowledge of sales and revenue data domains, including:
  • Pipeline and funnel metrics
  • Bookings, billings, and revenue recognition concepts
  • Quota, attainment, and compensation-related metrics
  • Forecasting, actuals vs. targets, and variance analysis
  • Experience integrating and modeling data from CRM platforms (e.g., Salesforce or similar)
  • Ability to design sales performance and executive dashboards that support:
  • GTM leadership
  • Capacity planning
  • Territory and account analytics
  • Comfort working with imperfect or evolving operational data and establishing trust through modeling, validation, and documentation


Technical & Platform Skills

  • Advanced SQL and data modeling expertise
  • dbt (models, tests, macros, docs, exposures)
  • Snowflake (query optimization, warehouse usage patterns, role-based access awareness)
  • Experience integrating data from SaaS systems using ELT tools (e.g., Fivetran, Stitch, etc.)
  • Familiarity with metadata management, data quality checks, and analytical lineage


Professional & Communication Skills

  • Strong business acumen with the ability to frame data in commercial terms
  • Clear, concise communicator capable of working with:
  • Sales leadership
  • Data engineering and platform teams
  • Ability to write clear, durable documentation for models, metrics, and assumptions
  • High attention to detail with a strong bias toward accuracy, consistency, and auditability
  • Comfortable operating in a federated enterprise environment with multiple upstream systems