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Data Sales Jobs (NOW HIRING)

The role includes working with sales, customer, channel and product data to develop business insights and predictive results to influence executive decisions. This role helps business units and ...

The role includes working with sales, customer, channel and product data to develop business insights and predictive results to influence executive decisions. This role helps business units and ...

The role includes working with sales, customer, channel and product data to develop business insights and predictive results to influence executive decisions. This role helps business units and ...

The role includes working with sales, customer, channel and product data to develop business insights and predictive results to influence executive decisions. This role helps business units and ...

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 ...

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 ...

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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How much do data sales jobs pay per hour?

As of Sep 7, 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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What cities are hiring for Data Sales jobs?

Cities with the most Data Sales job openings:

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

The most popular types of Data Sales jobs are:

What states have the most Data Sales jobs?

States with the most job openings for Data Sales jobs include:

Infographic showing various Data Sales job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $69,552 per year, or $33.4 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Canon U.S.A. rating

7.7

Company rating: 7.7 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

79th of 161 rated electronics manufacturers


Job description

About the RoleCanon USA in Melville, NY is currently seeking a Data Scientist, a developing professional, working towards full proficiency. This position works across the company with all Canon business units and departments. In this role a candidate will gather data from a variety of internal and external sources, clean and amalgamate the data, and use programming, math, statistical and analytical skills to interpret data. The role includes working with sales, customer, channel and product data to develop business insights and predictive results to influence executive decisions.   This role helps business units and divisions understand customers and market trends, forecasting, and works to improve internal processes through a wide variety of methods and tools. This is a role that requires a diverse set of skills, creative thinking and analytical work, coding, a desire to learn and grow personal skill sets.   This position is full time and offers a hybrid work schedule requiring you to be in the office Monday, Tuesday and Wednesday and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days).  Note that work schedules and office reporting requirements may change from time to time based on business needs.Your Impact- Advanced Analytics & Machine Learning: Analyzes complex marketing and consumer behavior problems utilizing internal (CRM, web, sales) and external (market, ad platforms) data sources . Builds, evaluates, and deploys predictive models (e.g., attribution modeling, customer lifetime value, churn forecasting, and trend analysis) using Python and GCP (Vertex AI). - Data Engineering & Cloud Databases: Constructs highly optimized queries and manages complex datasets utilizing BigQuery as the primary database of choice. Cleanses, integrates, and automates pipelines for large, disparate marketing data streams. - Self-Serve Analytics & Visualization: Empowers cross-functional marketing teams by building dynamic, self-serve analytics dashboards in Tableau, translating complex models into actionable, daily strategic insights. - Generative AI & Automation Hubs: Guides the marketing division's understanding, strategy, and adoption of Gemini and Gen AI  . Leverages Google Workspace Studio and NotebookLM to compile, synthesize, and centralize marketing intelligence and research. - AI Agents & Customs Bots: Designs, configures, and showcases customized Gems (specialized AI bots) or other AI Solutions to help marketing teams scale repeatable tasks like copywriting, campaign analysis, and translation. Evaluates and deploys AI Agents to optimize marketing operation. - Workspace Automation: Facilitates the team's operational migration to Google Workspace. Automates cross-app marketing workflows (linking Sheets, Gmail, Docs, and Calendar) using Google Apps Script to eliminate manual bottlenecks. - Data Collection/Preparation & Data Analysis/Reporting: Gather large, structured and unstructured datasets. Clean, transform, and preprocess data for analysis. Handle missing data, anomalies, and feature engineering. Analyze business data (sales, marketing, operations). - Predictive & Prescriptive Insights: Forecast trends and outcomes (e.g., churn, sales predictions), Recommend actions based on model outputs. Identify trends, patterns, and anomalies. Answer questions like: "What happened?" "Why did performance drop last quarter?" - Programming & Tools: Work with: Python, R, SQL, Machine learning frameworks (TensorFlow, Scikit-learn), Use big data technologies (Spark, Hadoop) when needed - Data Visualization & Communication: Present complex findings in understandable formats, Build visualizations or dashboards to communicate insights. Create recurring reports and dashboards. Build dashboards using tools like: Power BI, Tableau, Looker. Focus on clarity and usability for business users. - Experimentation: Conduct A/B testing, Design experiments to validate hypotheses - Data Quality & Governance: Ensure consistency and reliability of data. Validate reports and metric. About You: The Skills & Expertise You Bring- Bachelor's degree in a relevant field or equivalent experience required, plus 3 to 5 years of related experience. Bachelor's degree required in Finance, Mathematics, along with statistical and strong analytical skills and thorough knowledge of MS Office - Experience with data tool such as Python, SAS or SQL preferred - Statistical and or quantitative background preferred - Functional knowledge of analytical tools and report creation technologies preferred Skills Required: - Programming (Python, SQL) - Machine learning & statistics - Data visualization (Tableau, Power BI, Matplotlib, Looker) - Data wrangling and preprocessing - Critical thinking and problem solving - Business acumen and communication skills - Excel/Google Sheets and data analysis techniques - BigQuery experience - Proven Generative AI work experience - Expert at Notebook LM and Google Workspace Studio   We are providing the anticipated salary range for this role: $69,300 - $103,770 annuallyCompany OverviewAbout our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at www.usa.canon.com and connect with us on LinkedIn at https://www.linkedin.com/company/canonusa.

Who We Are

Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation.

What We Offer

You'll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits.

And Even More Perks!

-Employee referral bonus -Employee discounts -"Dress for Your Day" attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you can't get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at https://www.usa.canon.com/about-us/life-at-canon/benefits-and-compensation We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers' site https://www.usa.canon.com/about-us/life-at-canon, we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at https://www.usa.canon.com/about-us/life-at-canon. #CUSA Workstyle DescriptionHybrid - This position is full time and offers a hybrid work schedule requiring you to be in the office three days a week and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days). Note that work schedules and office reporting requirements may change from time to time based on business needs.Posting Tags#PM19 #LI-AV1 #LI-HYBRID #ID22Qualifications:- Bachelor's degree in a relevant field or equivalent experience required, plus 3 to 5 years of related experience. Bachelor's degree required in Finance, Mathematics, along with statistical and strong analytical skills and thorough knowledge of MS Office- Experience with data tool such as Python, SAS or SQL preferred- Statistical and or quantitative background preferred- Functional knowledge of analytical tools and report creation technologies preferredSkills Required:- Programming (Python, SQL)- Machine learning & statistics- Data visualization (Tableau, Power BI, Matplotlib, Looker)- Data wrangling and preprocessing- Critical thinking and problem solving- Business acumen and communication skills- Excel/Google Sheets and data analysis techniques- BigQuery experience- Proven Generative AI work experience- Expert at Notebook LM and Google Workspace StudioWe are providing the anticipated salary range for this role: $69,300 - $103,770 annuallyEmployment Type: OTHER

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