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Data Sales Jobs in Georgia (NOW HIRING)

PadSplit

Product Manager (Fully Remote)

Atlanta, GA · On-site +1

$130K - $150K/yr

Partner daily with engineering, design, data, sales, marketing, and support to scope, build, and launch high-impact initiatives. * Roadmap Prioritization: Balance short-term activation wins with ...

Entrust Datacard

The Sr Sales Executive - Data Security will achieve assigned sales objectives in their Enterprise Strategic Named Accounts focusing on Entrust's entire portfolio of Cryptographic Data Security ...

United Airlines

Data Scientist

Atlanta, GA

... sales, and business analytics use cases. * Analyze complex datasets to identify trends, patterns ... Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics ...

Wilsonart

Specification Representative

Atlanta, GA

$36K - $41K/yr

Documentation includes account data, sales call itineraries and activity, merchandise placement, and project opportunity tracking. Knowledge, Skills, and Abilities * Knowledge of the complete product ...

Jobtailor

Senior Data Analyst

Atlanta, GA · On-site

$90 - $120/hr

Provide data-driven insights and recommendations across sales, marketing, pricing, and promotional ... Analyze item-level sales performance, customer behavior, campaign effectiveness, and promotional ...

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Showing results 21-40

All JobsData Sales JobsData Sales Jobs in Georgia

Data Sales information

See Georgia salary details

$18

$28

$43

How much do data sales jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data sales in Georgia is $28.24, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $35.72 per hour, depending on experience, location, and employer.

What is a data sales?

Data Sales refers to the business of selling data or data-related services to other companies, organizations, or individuals. This can include raw data sets, data analytics services, market intelligence, or customized reports derived from collected data. Professionals in data sales identify potential clients, understand their data needs, and offer solutions that help them make informed decisions or gain a competitive edge. The role often requires strong communication skills, technical understanding of data products, and knowledge of relevant industries. Data sales can be found in sectors like finance, marketing, healthcare, and technology.

How does a data sales professional typically collaborate with technical and product teams to meet client needs?

Data Sales professionals often act as a bridge between clients and internal technical or product teams. They work closely with data engineers, analysts, and product managers to understand client requirements and translate them into tailored data solutions. Successful collaboration relies on strong communication skills, as Data Sales professionals must clearly convey client feedback and ensure deliverables align with expectations. This cross-functional teamwork helps ensure that clients receive accurate, actionable data products while fostering innovation and customer satisfaction.

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

To thrive as a Data Sales professional, you need a strong understanding of data products, sales principles, and market analysis, often supported by a background in business, marketing, or a related field. Familiarity with CRM systems, data visualization tools, and analytics platforms like Salesforce or Tableau is typically required. Exceptional communication, negotiation, and relationship-building skills set top performers apart in this role. These skills ensure you can effectively match client needs with data solutions and drive successful sales outcomes in a competitive market.

What is the difference between Data Sales vs Data Analyst?

AspectData SalesData Analyst
Required CredentialsSales experience, knowledge of data products, sometimes certifications in data or salesDegree in data science, statistics, or related field; certifications like Microsoft Data Analyst
Work EnvironmentSales teams, client meetings, business developmentData analysis, reporting, data visualization in office or remote settings
Employer & Industry UsageData providers, tech companies, marketing firmsCorporations, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding sales roles in data industryUnderstanding data analysis roles and skills

Data Sales focuses on selling data products and building client relationships, often requiring sales skills and industry knowledge. Data Analysts interpret data, create reports, and support decision-making through analysis. While both roles work with data, Data Sales emphasizes client engagement and sales strategies, whereas Data Analysts concentrate on data interpretation and insights.

How to get into data sales?

To enter data sales, develop strong communication and sales skills, and gain knowledge of data products, analytics, and related tools like CRM software. Relevant experience in technology, data management, or marketing can be beneficial, and certifications in data analysis or sales can improve prospects.

What does data sales do?

Data sales professionals are responsible for selling data products or services to clients, often involving identifying customer needs, presenting data solutions, and negotiating contracts. They work closely with data analysts and marketing teams to understand data offerings and may use tools like CRM software. Strong communication and knowledge of data markets are essential for success in this role.

What are the most commonly searched types of Data Sales jobs in Georgia?

The most popular types of Data Sales jobs in Georgia are:

What are popular job titles related to Data Sales jobs in Georgia?

For Data Sales jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Sales jobs in Georgia look for?

The top searched job categories for Data Sales jobs in Georgia are:

What cities in Georgia are hiring for Data Sales jobs?

Cities in Georgia with the most Data Sales job openings:

Data Sales jobs near you
Infographic showing various Data Sales job openings in Georgia as of August 2026, with employment types broken down into 73% Full Time, 18% Part Time, 6% Contract, and 3% Nights. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $58,729 per year, or $28.2 per hour.

Product Manager (Fully Remote)

PadSplit

Atlanta, GA • On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

The Role We Need:
PadSplit is hiring a Product Manager to lead our Supply Growth pod within the Marketplace team. This role will define and execute a product roadmap that accelerates new property activations and unlocks scalable supply growth. You will operate at the intersection of product, sales, marketing, and support to build systems and experiences that drive measurable business impact.
The Person We Are Looking For:
We're looking for a Product Manager with a demonstrated track record of shipping features that grow businesses and move core KPIs. You are equally comfortable in user interviews, data analysis, and executive discussions-and you synthesize qualitative and quantitative inputs into clear, actionable decisions. You operate with deep ownership, prioritize ruthlessly, and know when to lead from the front versus enabling others to execute.
Here's What You'll Be Doing Day-to-Day:
  • Product Vision: Define and continuously refine the product vision, strategy, and roadmap for the Supply Growth domain based on data, customer insights, and business priorities.
  • Stakeholder Alignment: Clearly communicate roadmap priorities, tradeoffs, and progress to cross-functional partners and executive leadership.
  • Cross-Functional Execution: Partner daily with engineering, design, data, sales, marketing, and support to scope, build, and launch high-impact initiatives.
  • Roadmap Prioritization: Balance short-term activation wins with long-term platform investments through structured prioritization and clear tradeoff decisions.
  • User Discovery: Conduct interviews, usability testing, and research to validate hypotheses and ensure a user-centric product approach.
  • Agile Leadership: Lead sprint rituals including stand-ups, sprint planning, backlog grooming, and bug triage to ensure high-quality execution.
  • Performance Analytics: Analyze funnel metrics, activation KPIs, and market data to identify opportunities and measure product impact.
  • Continuous Iteration: Run experiments, evaluate results, and iterate quickly to improve user experience and core supply growth metrics.

Here's What You'll Need to Be Successful:
  • Product Experience: 4+ years of product management or comparable experience driving measurable business outcomes.
  • Marketplace Expertise: Experience in a marketplace business, real estate, investing, or a similarly supply-constrained environment.
  • Growth Fluency: Strong command of acquisition funnels and KPIs, with the ability to write simple SQL queries to support analysis.
  • Analytical Rigor: Ability to translate quantitative and qualitative data into clear product decisions and strategic recommendations.
  • Experimentation Skills: Demonstrated experience scoping, launching, and evaluating product experiments.
  • Stakeholder Leadership: Proven ability to build alignment and influence across diverse cross-functional teams.
  • Creative Problem Solving: Capacity to approach problems from multiple angles and generate innovative, practical solutions.
  • AI Leverage: Experience using-or the ability to quickly ramp on-modern AI tools to accelerate product discovery, execution, and analysis.
  • Results Orientation: High ownership mindset, bias toward action, and commitment to delivering outcomes that serve both customers and the business.

The Interview Process:
  • Your application will be reviewed for possible next steps by a human being in the PeopleOps department.
  • If you meet eligibility requirements, the next step would be a phone call with a member of the PeopleOps team for about thirty (30) minutes.
  • If warranted, the next step would be a video interview with our Head of Product for forty-five (45) minutes.
  • If warranted, the next step would be a video interview with a small panel of key stakeholders for one (1) hour. For this interview, a candidate would participate in a mini-case exercise to the panel for discussion.
  • If warranted, the final step would be a video panel interview with additional stakeholders for two (2) hours. For this interview, a candidate would participate in a maxi-case exercise to the panel for discussion.
  • If warranted, then we move to offer!

Compensation, Benefits, and Perks:
  • Fully remote position - we swear!
  • Competitive compensation package including an equity incentive plan and a company bonus
  • National medical, dental, and vision healthcare plans
  • Company provided life insurance policy
  • Optional accidental insurances, FSA, and DCFSA benefits
  • Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays
  • 401(k) plan
  • Twelve (12) weeks of paid time off for both eligible birth and non-birth parents
  • The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis

$130,000 - $150,000 a year
Compensation is based on the role's scope, nation-wide market benchmarks, the person's expertise and experience, and the impact of their contributions to our business goals.
Please note: Although the job posting says it's in Atlanta, Georgia, this is a fully remote position. This is a result of our Applicant Tracking System requiring a location to post the role on LinkedIn.
Notice to Applicants:
PadSplit participates in E-Verify. All new employees are required to complete an I-9 form and be authorized to work in the United States. Employment is contingent upon successful completion of the E-Verify process.
PadSplit is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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