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

Grazitti Interactive Inc.United States🇺🇸United StatesPosted Oct 7, 2026

Why This Role Stands Out

Leverage your expertise in analytics sales to drive significant growth and shape innovative client solutions in a remote, flexible environment with a globally recognized digital services provider. If you have 5-8+ years of experience selling analytics and a knack for identifying client needs, this is your opportunity to make a substantial impact. Apply today to join a forward-thinking team and advance your career!

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
6 days ago
SalesforceAccount ManagementBusiness DevelopmentSales Analytics

Job Description

Job Description
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 for Analytics 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

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