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Lead Visualization Engineer - Seattle, United States - Salesforce
Description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Software Engineering
Job Details
About Salesforce
We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM.
Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world.
If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place.
The Customer Success Group (CSG) organization at Salesforce is responsible for on-boarding, product usage, standard processes, training, customer support, professional services, partner certification, and developing long-term relationships with Salesforce customers.
The Customer Intelligence team in the Data and Analytics org builds innovative data products, data analysis, data engineering, deep data science & modeling and data driven intelligence around our customers' usage, adoption and engagement behaviors, which in turn is used to help them better adopt their products and realize value from their investment in Salesforce.
We are looking for a Lead Data Visualization Engineer to be part of the Success Pillar in the Data and Analytics organization As a member of this team you will have the opportunity to work on a broad array of data domains and technologies, analyzing large data sets and providing critical insights that empower our business partners formulate key strategies, improve business processes that drive product adoption & growth, renewals, professional services, and more through a data driven approach.
You will both dive deep into the data, uncovering the critical insights, as well as build compelling visualizations to facilitate the democratization of our data and insights The results of your work will help Salesforce scale customer success, improving customer health and dedication to Salesforce and ultimately reducing attrition and driving growth.
ResponsibilitiesInterpret data, analyzing results using statistical techniques and providing ongoing reports
Understand the interplay between various data sources, Salesforce analytics platform and customer needs
Understand customer context in depth and translate it to outputs. Wear a business hat and deliver solutions that fit business needs while simultaneously working across the engineering, data science and data services teams
Drive the design and delivery of analytics deliverables (scorecards, weekly/monthly/quarterly reporting, deep-dive analysis, ad hoc analysis, analytics strategies, stakeholder enablement) ensuring quality and rigor of analysis
Develop and implement a framework for data collection, data analytics and other strategies that optimize efficiency and quality
Be a good communicator who can present their data analysis/findings in a clear and concise manner
Be very comfortable extracting data from a wide range of sources (excel, database, hadoop, etc) and develop insightful charts, dashboards and reports
Be excellent at story telling of visual data
Locate and define new process improvement opportunities
Be very good in documenting the analysis, results and data processes, which can be reused by the team
Be a phenomenal teammate who thrives in a diverse global team
Be very passionate about quality and have a solid sense of ownership on the work accomplished
Have a high sense of urgency to respond to data queries/issues or deliver data requests
Be proactive, well-organized, and have solid attention to detail
Required Skills And Experience
8+ years of work experience in sales strategy, product management, or management consulting with strong exposure to data viz strategy and execution
Proven ability in writing sophisticated database queries in any SQL language (Oracle, MySQL, etc)
Advanced data analytics and modeling skills using tools such as SQL, Python, Tableau, R, and/or Business Objects (or similar analytical packages)
Proficiency with Tableau, Einstein CRM, Conversational analytics
Knowledge of statistics and experience using statistical packages for analyzing datasets and experience with data models, data mining and segmentation techniques
Strong analytical skills along with ability to work independently with limited supervision
Experience with any analytics/reporting tools like Tableau, Business Objects, Spotfire, QlikView, etc is desirable.
Exposure and understanding of relational databases, BI and data warehousing
Experience working with a global team in multiple locations
Salesforce experience/certification is a huge plus
A related technical degree required
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces.
We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.
Learn more about Equality at and explore our company benefits atSalesforce is an Equal Employment Opportunity and Affirmative Action Employer.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.Salesforce welcomes all.
For Washington-based roles, the base salary hiring range for this position is $146,600 to $201,700.
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits.
More details about our company benefits can be found at the following link:
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