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Data Analytics Sales Jobs in California (NOW HIRING)

CrowdStrike

Director, Data Analytics

Sunnyvale, CA · On-site

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 ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site +1

The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ... from Sales to Fulfillment. This is a role for a curious, experimental builder who loves solving ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ... from Sales to Fulfillment. This is a role for a curious, experimental builder who loves solving ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ... from Sales to Fulfillment. This is a role for a curious, experimental builder who loves solving ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

... sales and marketing channels. This role will have impact across DTC, retail, wholesale ... in data engineering or analytics engineering * Strong understanding of data engineering best ...

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All JobsData Analytics Sales JobsData Analytics Sales Jobs in California

Data Analytics Sales information

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$33

$50

How much do data analytics sales jobs pay per hour?

As of Aug 3, 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.

Is 40 too late for data science?

Data analytics sales roles often value experience and skills over age, and many professionals transition into data science at various stages of their careers. Learning relevant tools like Python, R, or SQL and gaining certifications can help improve prospects, regardless of age. Age should not be a barrier to entering data science or related fields if you develop the necessary expertise.

What is data analysis in sales?

Data analysis in sales involves examining sales data to identify trends, patterns, and insights that can inform business decisions. Sales analysts use tools like Excel, SQL, or data visualization software to interpret customer behavior, sales performance, and market opportunities, supporting strategies to increase revenue and improve sales processes.

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 is the highest paid job in sales?

In sales, executive roles such as Vice President of Sales or Chief Sales Officer tend to be the highest paid, often earning six-figure salaries plus bonuses and commissions. These positions require extensive experience, strategic skills, and leadership abilities, and compensation varies by industry and company size.

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 interpret sales data effectively. Using data-driven insights can lead to increased sales performance and better targeting of potential clients.

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.

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:
What are popular job titles related to Data Analytics Sales jobs in California? For Data Analytics Sales jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Analytics Sales jobs in California look for? The top searched job categories for Data Analytics Sales jobs in California are:
What cities in California are hiring for Data Analytics Sales jobs? Cities in California with the most Data Analytics Sales job openings:
Data Analytics Sales jobs near you
Infographic showing various Data Analytics Sales job openings in California as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $68,642 per year, or $33 per hour.

Sr.Sales Executive (Analytics Sales Exposure) Opening in Grazitti Interactive INC, US

Grazitti Interactive

Mountain View, CA

Full-time

Re-posted 25 days ago

Job description

Grazitti Interactive INC is a global digital services provider leveraging cloud, mobile and social media technologies to reinvent the way they do business. Since 2007, Grazitti has been at the forefront of innovation helping companies power their businesses with customer acquisition, customer experience and analytic services. As a global consultancy, we have developed strategic partnerships with technology pioneers like Alteryx, Microsoft, Marketo-Adobe, Salesforce, Google, Khoros, Optimizely, Acquia, Shopify and Jive. We combine these platforms with custom solutions to provide effective, result-oriented outcomes to our clients. We have been helping hundreds of global companies to transform their business technologies and extract more value from their investment..

Position: Senior Analytics Sales Executive

Employment Type : Full time. Flexible Office / WFH arrangement.

Experience Required : Around 5-8+ years of relevant experience in selling analytics

Technology & Services

Location : This role is based out in Mountain View, California.

Responsibilities

  • Develop a Go to Market Sales Plan
  • Acquire new customers forAnalytics services, explore similar opportunities in our extensive client base
  • Execute a plan for sales goals, and provide accurate, complete and timely submission of pipeline reports and forecasts.
  • Support development of appropriate marketing plans to target a diverse set of potential customers in order to generate qualified leads and opportunities.

Skills Required

  • Knowledge of data analytics platforms and services covering Data mining, Data modelling, ETL, DWH and BI solutions
  • Ability to analyse the business requirements & have high level understanding on business Use Cases where Data Analytics help provide insights. E.g.'s Marketing & Sales Analytics, Customer Churn Analytics, Sales Rep performance, Healthcare Analytics, Retail Analytics etc
  • Well versed with BI tools widely used in market such as Tableau, PowerBI, Looker, QlikSense, Cognos etc
  • Awareness of public cloud platforms such as AWS, Azure vs On-Prem/ SQL server offerings. Ability to consult & provide advisory.

Key Requirements:

Professional

  • Experience. 5- 8+ years' experience selling business solutions to large/global enterprise customers with a focus on Data & Analytics platform technologies
  • Executive Presence.Experience and expertise in interacting with senior business decision makers by aligning & reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities.
  • Problem Solver.Demonstrated ability to solve customer problems
  • Collaborative.Strong relationship-building and negotiation skills.required
  • Excellent Communicator.Executive level communication skills (both written and verbal), and the ability to mentor others.
  • You will need to demonstrate the ability to build rapport with clients, be self motivated, accountable, results driven and have a proven track record in software sales, business development or account management. Your success will be measured through meeting and exceeding revenue targets, successful development of new clients, and the ability to leverage new and innovative ways to reach our clients

Technical

  • Good knowledge of Data Analytics - BI tools ( Tableau, POWER BI) , ETL , DWH, ML and like
  • Knowledge of emerging technologies in Data warehousing, Data Transformation, Analytics and Machine Learning would be a plus
  • Technical Knowledge - possess both business acumen and technology awareness and be able to connect how data and analytics impact customer business impact


Apply