1

Data Analytics Sales Jobs (NOW HIRING)

Qualifications: * 2-3 years of professional experience in data analysis, sales, research, or marketing. * Strong proficiency in Microsoft Excel; experience with Tableau and Salesforce is highly ...

Sales Data Analyst

Lake Zurich, IL · On-site

$90K - $100K/yr

This role will keep our sales team ahead of the curve by delivering clear, data-driven ... Bachelor's degree in business, data analytics, or relative work experience. Equal Opportunity ...

A strong foundation in data analytics and statistics are necessary to ask the right questions ... Manage digital sales platforms. Priority Three - 25% Partner Management and Tool Development:

A strong foundation in data analytics and statistics are necessary to ask the right questions ... Manage digital sales platforms. Priority Three - 25% Partner Management and Tool Development:

Data Analytics Analyst

Burlington, NJ · Hybrid

$69K - $103K/yr

Perform deep-dive analysis into sales data to identify which customers and accounts yield the highest profit margins - Vertical Performance: Track and report on Gross Profit (GP) by Vertical ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/yr

Perform deep-dive analysis into sales data to identify which customers and accounts yield the highest profit margins - Vertical Performance: Track and report on Gross Profit (GP) by Vertical ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/yr

Perform deep-dive analysis into sales data to identify which customers and accounts yield the highest profit margins - Vertical Performance: Track and report on Gross Profit (GP) by Vertical ...

Creates and maintains reports within Salesforce for marketing, customer relationship, and sales teams. * Develops analytical solutions using data, analytics, and reporting to generate insights for ...

next page

Showing results 1-20

Data Analytics Sales information

See salary details

$21

$33

$51

How much do data analytics sales jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data analytics 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.

Is 40 too late for data science?

Data Analytics Sales professionals can enter the field at any age, and age is not a barrier to developing skills in data science. Success depends on acquiring relevant knowledge, such as programming languages like Python or R, and gaining experience through projects or certifications, regardless of age.

What are the typical daily responsibilities of someone in a Data Analytics Sales role?

A Data Analytics Sales professional typically spends their day prospecting new clients, conducting product demonstrations, and collaboratively working with internal analytics teams to tailor solutions to client needs. They also follow up on leads, draft proposals, negotiate contracts, and provide post-sales support to ensure client satisfaction and retention. Regular communication with product and data teams is common, as it helps bridge technical capabilities with customer requirements. This blend of analytical understanding and client-focused work is essential for building strong, lasting business relationships in the data analytics sector.

What does a sales data analyst do?

A sales data analyst examines sales data to identify trends, patterns, and insights that can inform business decisions. They use tools like Excel, SQL, or data visualization software to analyze large datasets, generate reports, and support sales strategies. Strong analytical skills and knowledge of sales processes are essential for this role.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting complex insights, making strategic decisions, and communicating findings. The role is evolving to include skills in machine learning, data visualization, and domain expertise, rather than being fully replaced by AI.

Is data analytics good for sales?

Data analytics is valuable for sales roles as it helps identify customer trends, optimize sales strategies, and improve decision-making. Skills in tools like Excel, SQL, or Tableau enhance a data analyst's ability to support sales teams effectively.

What are the key skills and qualifications needed to thrive in the Data Analytics Sales position, and why are they important?

To thrive as a Data Analytics Sales professional, you need a strong background in data analytics concepts, sales acumen, and customer relationship management, often supported by a relevant degree in business, analytics, or a related field. Familiarity with analytics platforms (such as Tableau or Power BI), CRM systems, and sales enablement tools, along with industry certifications, will boost your effectiveness. Excellent communication, active listening, and persuasive skills set top performers apart when translating complex data solutions for diverse clients. These abilities are crucial because they enable you to identify customer needs, demonstrate the value of data-driven solutions, and ultimately drive business growth.

What is a Data Analytics Sales job?

A Data Analytics Sales job involves selling data analytics solutions, tools, and services to businesses looking to leverage data for strategic decisions. Professionals in this role identify potential clients, understand their data needs, and demonstrate how analytics solutions can drive business value. They work closely with data teams to showcase product capabilities and help clients implement the right analytics strategies. Strong communication, negotiation, and technical understanding of data processes are key skills for success in this role.

More about Data Analytics Sales jobs
What cities are hiring for Data Analytics Sales jobs? Cities with the most Data Analytics Sales job openings:
What are the most commonly searched types of Data Analytics Sales jobs? The most popular types of Data Analytics Sales jobs are:
What states have the most Data Analytics Sales jobs? States with the most job openings for Data Analytics Sales jobs include:
Infographic showing various Data Analytics Sales job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 46% Full Time, 47% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $69,552 per year, or $33.4 per hour.

Data Analytics Sales Specialist II, Google Cloud

Google

Irvine, CA • On-site

Full-time

Posted 6 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

32nd of 189 rated software companies


Job description

info_outline
X
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Irvine, CA, USA; Los Angeles, CA, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in a sales role in the enterprise software or cloud space.
  • Experience selling data analytics or data management technologies to clients.

Preferred qualifications:
  • Experience carrying and exceeding strategic business goals in a sales role.
  • Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion.
  • Experience working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.
  • Experience prioritizing and planning sales activity and transformation strategies within complex sales cycles aligned to data and analytics.
  • Knowledge of trends, products, and solutions in Cloud and data and analytics (BigQuery, Looker, Dataproc, Pub/Sub), including experience with data analytics technology stack.

About the job
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Data Analytics Sales Specialist, you will help us grow our Data Analytics business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver true business value, demonstrate product functionality and provide a comprehensive overview of key business use cases. You will lead day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. You will lead go-to-market strategies and sales plays, manage campaigns, and provide feedback to Product and Global Solutions teams to inform our product solutions roadmap. You will shape customers' cloud and Data Analytics strategy and enable digital transformation. You will lead with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive overall value for Google Cloud.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $116000 - $170000 (USD) 100% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts.
  • Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your territory's business.
  • Work with Google accounts and cross-functional teams (e.g. Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
  • Develop and execute strategic account plans, including a broader enterprise plan across key industries.
  • Work with multiple customers and opportunities simultaneously, understanding each customer's technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom