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Data Sales Jobs (NOW HIRING)

UpClear

Sr. Data Architect

Manhattan, NY · On-site

$150K - $200K/yr

The ideal candidate has experience working with Consumer Packaged Goods (CPG) data and understands the nuances of sales, distribution, retail, and customer analytics. Please note: We are not able to ...

UpClear

Sr. Data Architect

New York, NY · On-site

$150K - $200K/yr

The ideal candidate has experience working with Consumer Packaged Goods (CPG) data and understands the nuances of sales, distribution, retail, and customer analytics. Please note: We are not able to ...

Bloomberg L.P.

Risk & Investment Analytics Specialist Sales, Enterprise Data Sales - Financial Solutions Location New York Business Area Sales and Client Service Ref # 10053763 Description & Requirements ...

New

UpClear

Sr. Data Architect

Manhattan, NY · On-site

$150K - $200K/yr

The ideal candidate has experience working with Consumer Packaged Goods (CPG) data and understands the nuances of sales, distribution, retail, and customer analytics. Please note: We are not able to ...

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Data Sales information

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How much do data sales jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data sales in the United States is $33.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $42.31 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.
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Data Sales jobs near you
Infographic showing various Data Sales job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $69,552 per year, or $33.4 per hour.

Sr. Data Architect

Manhattan, NY • On-site

UpClear
Software Development • 11 - 50 employees
Learn more about UpClearexternal

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

ABOUT UPCLEAR
UpClear delivers a SaaS revenue management platform that is used by some of the most recognizable consumer goods brands in the world. Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business Planning and Revenue Management. We serve more than 80 brands in over 30 countries. Our growth is substantial and consistent; we have been on the Inc 5000 list of fastest growing private companies for eight years in a row. UpClear's global headquarters is in New York City and we have satellite offices in London, Paris, and Singapore.
POSITION OVERVIEW
We are seeking a skilled Data Architect to design, optimize, and scale our data and reporting layers. This role is also open to contractors. You will focus on building a robust SQL-based data warehouse, improving data models for business intelligence, and leveraging Microsoft Fabric to create efficient, reliable data pipelines. The ideal candidate has experience working with Consumer Packaged Goods (CPG) data and understands the nuances of sales, distribution, retail, and customer analytics.
Please note: We are not able to provide sponsorship for employment authorization at this time.
This role requires 4 days on site collaboration per week. You must be able to commute to our West 22nd Street office in New York.
RESPONSIBILITIES
    • Design and optimize data architecture to support scalable, high-performance reporting and analytics
    • Develop and maintain SQL-based data warehouse structures
    • Improve and standardize data models used for BI and reporting tools
    • Build and manage data pipelines using Microsoft Fabric
    • Ensure data quality, consistency, and governance across reporting layers
    • Collaborate with business and analytics teams to translate requirements into efficient data solutions
    • Identify performance bottlenecks and implement improvements in data storage and query performance
    • Document data models, architecture, and processes

Requirements
  • Bachelor's or Master's Degree in Computer Science, Data Engineering, or a related field.
  • Proven experience as a Data Architect or Senior Data Engineer in BI environments
  • Strong expertise in SQL and data warehouse design principles
  • Hands-on experience with dimensional modeling (Kimball or similar)
  • Experience with Microsoft Fabric
  • Deep understanding of BI/reporting workflows and data optimization techniques
  • Familiarity with modern data architecture patterns
  • Strong problem-solving skills and ability to work cross-functionally
  • Hands-on mindset: comfortable contributing technically while shaping the strategic direction.

Nice to Have
  • Experience working with Consumer Packaged Goods (CPG) data (POS data, syndicated data, sales and distribution)
  • Familiarity with Power BI or other visualization tools
  • Exposure to data governance and data quality frameworks
  • Experience working in a fast-paced, scaling environment

Benefits
WHY UPCLEAR ?
  • Be part of a growing global SaaS company, with offices in NYC, London, Paris, Singapore
  • Work on latest Cloud technology and build architecture for fast-growing Tech
  • Weekly happy hours, good office culture, global cross team collaboration, direct access to executive leadership for guidance.

UpClear employees have access to a range of competitive benefits, including
    • Various Health Care Plans you can choose from to best fits your needs (Medical, Dental & Vision)
    • Retirement Plan with company match (401k, IRA)
    • Generous Paid Time Off package that grows with seniority (Vacation, Sick, and Public Holidays)
    • Paid Maternity leave
    • Paid Parental bonding leave
    • One month paid sabbatical after five continuous years of work at UpClear
    • Hybrid work model
    • Competitive Salary ($150K - $200K)

The salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary several factors may be considered as applicable including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority.
For contractors, compensation will be offered as an hourly rate or fixed project fee, depending on the scope of work and experience level. The estimated pay range for this role is $77 to $97 per hour. Final compensation will be determined based on factors such as skills, experience, and agreed-upon deliverables.

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