Role can be HQ, Sunnyvale or
Central or Eastern zones
Key Responsibilities:
Extract, transform, and analyze complex datasets using SQL and other data manipulation tools,
Design and implement data quality monitoring and pipeline hygiene processes
Create and maintain documentation for BI solutions and data models
Identify opportunities for process improvements and automation within the sales operations
Assist in building predictive models to enhance sales forecasting accuracy
Support ad-hoc analytical requests from stakeholders across the organization
Required Skills and Experience
Strong SQL skills with experience writing complex queries and working with large datasets
Experience with Salesforce
Experience with Python for data analysis and automation (transform text, build APIs)
Proficiency in data manipulation, analysis, and visualization techniques
Experience with BI tools, particularly Tableau
Understanding of sales processes, CRM systems, and sales performance metrics
Excellent problem-solving abilities and attention to detail
Strong communication skills with ability to translate complex data insights into clear, actionable
information for non-technical stakeholders.
SFDC Developer
Preferred Qualifications
Familiarity with sales operations in a B2B environment.
Experience with data modeling and database design principles.
Prior experience in sales, revenue or marketing revenue operations role.
What We Offer
Clear path for career progression
Professional development opportunities
Flexible working arrangements
Our Applications / Technology
We use a wide range of applications deployed on premise, in the cloud and SaaS Primary, heavy usage: Python, TSQL (MS SQL Server), Tableau, Git
Others: Anaplan, Salesforce, Clari, Various RDBMSs, VueJS, Elasticsearch, Mongo, Linux
Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $121,000 - $135,000 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.
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