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Data Analytics Sales Jobs in California (NOW HIRING)

Data Analytics Mgr

Thousand Oaks, CA · On-site +1

$118K - $145K/yr

Data Analytics Mgr Duties: Lead financial and resource planning by applying P&L, cash flow, and ... A discretionary annual bonus program, or for field sales representatives, a sales-based incentive ...

New

Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and ... Poshmark is seeking a proactive, commercially driven Director of Data Analytics to join the Revenue ...

The Director will function as a vital strategic partner, bridging the data needs of the Sales and ... Lead, mentor, and inspire a team of data analytic professionals, championing a culture of ...

Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and ... Own the end-to-end analytics stack for the Revenue team, defining what data we need, how it ...

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Showing results 1-20

Data Analytics Sales information

See California salary details

$21

$33

$50

How much do data analytics sales jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data analytics sales in California is $33.00, according to ZipRecruiter salary data. Most workers in this role earn between $25.62 and $41.73 per hour, depending on experience, location, and employer.

What is a data analytics sales?

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.

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 are the key skills and qualifications needed to thrive in data analytics sales, 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 are the most commonly searched types of Data Analytics Sales jobs in California?

The most popular types of Data Analytics Sales jobs in California are:

Infographic showing various Data Analytics Sales job openings in California as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $68,642 per year, or $33 per hour.

Data Analytics Sales Specialist, Google Cloud

Google Inc.

Mountain View, CA • On-site

$180 - $240/hr

Other

Posted 2 days ago

New


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies


Job description

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in a sales role in the enterprise software or cloud space.
  • Experience with supporting executive relationships, developing new territories and accounts, and customer success, adoption, and expansion.
  • Experience with selling data analytics or data platform technologies to clients.
  • Experience with working with Chief Data Officer (CDO) and Line of Business (LOB) buyers for data analytics solutions.
Preferred qualifications:
  • Experience carrying and exceeding strategic business goals in a sales role.
  • Experience prioritizing and planning sales activity and transformation strategies within complex sales cycles aligned to Data and Analytics.
  • Experience working with internal/external teams, build cases for transformation with implementation plans, and close agreements.
  • Experience working in an overlay sales role.
  • Knowledge of trends, products, and solutions in Cloud and Data and Analytics (BigQuery, Looker, Dataproc, Pub/Sub),and the ability to demonstrate solution demos.
  • Knowledge of data platforms like Databricks, Snowflake and data engineering tools.
About the job

As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what’s right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world.

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 the business value, demonstrate product functionality and provide an 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 business plays, manage campaigns, and provide feedback to Product and Global Solutions teams to inform our product solutions road map. You will shape customers cloud and data analytics strategy and enable digital transformation. You will lead with empathy, while identifying ways to multiply 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.

Responsibilities
  • B uild 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.
  • D eliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your territory’s business.
  • W ork 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.
  • D evelop Analytics solution roadmaps with customers, understanding their unique and complex requirements on a business and technical level.
  • W ork 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.

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 .

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.

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.

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