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Remote Sas Sales Jobs (NOW HIRING)

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... sales and marketing managers build data-driven processes. Your role will involve driving ...

Tripadvisor

Senior Key Account Executive

Needham, MA · Remote

Beyond that, we are seeking sales experience in e-commerce, SAS, and other digital platforms along with demonstrated success with exceeding sales targets. Flexible to Remote US / Needham, MA What You ...

Tripadvisor

Senior Key Account Executive

Needham, MA · Remote

Beyond that, we are seeking sales experience in e-commerce, SAS, and other digital platforms along with demonstrated success with exceeding sales targets. Flexible to Remote US / Needham, MA What You ...

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How much do remote sas sales jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote sas sales in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote SaaS Sales Professional, and why are they important?

To thrive as a Remote SaaS Sales Professional, you need a solid understanding of software solutions, sales methodologies, and a proven track record in B2B sales, typically backed by relevant experience or a business-related degree. Mastery of CRM platforms like Salesforce, sales automation tools, and virtual meeting software is essential. Exceptional communication, self-motivation, and relationship-building skills are vital for connecting with clients and closing deals remotely. These skills enable professionals to effectively engage prospects, manage the sales pipeline, and drive revenue growth in a highly competitive digital environment.

How does a Remote SaaS Sales professional typically collaborate with product and support teams to close deals?

Remote SaaS Sales professionals frequently work closely with product and support teams to ensure prospects receive accurate technical information and prompt responses to their questions. This collaboration often involves virtual meetings, shared documentation, and coordinated demonstrations to address client needs effectively. By leveraging the expertise of product and support teams, sales professionals can tailor their pitches, resolve objections, and provide comprehensive solutions, which increases the likelihood of closing deals. Open communication and regular updates are key to maintaining alignment and delivering a seamless customer experience.

What are Remote SAS Sales jobs?

Remote SAS Sales jobs involve selling Statistical Analysis System (SAS) software and solutions to clients, typically from a remote location rather than in a traditional office. Professionals in this role are responsible for identifying potential customers, demonstrating SAS products, negotiating contracts, and supporting clients through the sales process. They often use video calls, emails, and online presentations to connect with prospects. This position requires strong communication, sales, and technical skills, as well as a good understanding of data analytics and business intelligence software.
More about Remote Sas Sales jobs
What cities are hiring for Remote Sas Sales jobs? Cities with the most Remote Sas Sales job openings:
What are the most commonly searched types of Sas Sales jobs? The most popular types of Sas Sales jobs are:
What states have the most Remote Sas Sales jobs? States with the most job openings for Remote Sas Sales jobs include:
What job categories do people searching Remote Sas Sales jobs look for? The top searched job categories for Remote Sas Sales jobs are:
Remote Sas Sales jobs near you
Infographic showing various Remote Sas Sales job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.
Data Analyst / Data Scientist

Data Analyst / Data Scientist

psudo

On-site, Remote

Full-time

Posted 27 days ago

Job description

Other locations: Canada, London, India & Australia.


Remote: OK


Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

  • Ensure that data flows smoothly from source to destination so that it can be processed
  • Utilize strong database skills to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
  • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
  • Build tools for automating repetitive asks so that bandwidth can be freed for analytics
  • Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
  • Work closely with top management to prioritize information and analytic needs

Requirements:

  • Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 2-3 years (open to talk to freshers as well).
  • Ability to program in any high level language is required. Familiarity with R and statistical packages are preferred.
  • Proven problem solving and debugging skills.
  • Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
  • Experience with text analytics, data mining and social media analytics.
  • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
Employment Type: FULL_TIME

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