Sales Operations Analyst

Join Databricks as a Sr. Sales Strategy Analyst on our Sales Strategy & Operations team, where you'll play a crucial role in shaping the future of our rapidly growing sales organization. This position focuses on empowering the  sales teams through data-driven insights, streamlined processes, and strategic automation. 

Reporting to the Data Engineer Manager, you'll leverage your exceptional analytical skills and passion for data to create meaningful reports and dashboards. Your insights will inform decision-making, reveal trends, and uncover opportunities for improvement, ultimately contributing to the optimization of our sales strategies and processes. 

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. 

Key Responsibilities: 

• Design, develop, and maintain dynamic reports and dashboards in Salesforce and other BI tools to provide accurate, relevant, and timely insights for sales teams 
• Forge strong cross-functional relationships with Sales Operations, Marketing Operations, and field teams to identify best practices, continuously refine sales processes, and drive innovation 
• Establish a systematic approach to tracking enablement metrics, pipeline generation activities, and overall sales performance, fostering a data-driven culture across the organization 
• Proactively identify opportunities for process improvements and efficiency gains, leveraging data and industry insights to inform recommendations 
• Act as a trusted advisor to the sales teams, providing data-backed guidance and support for achieving sales goals and objectives 

Requirements: 

• 2-4 years of experience in a sales operations or analyst role, demonstrating success in driving measurable impact through data analysis and insights 
• Proficiency in designing and creating insightful reports and dashboards using Salesforce and BI tools, with a focus on providing actionable intelligence for sales teams 
• Previous experience collaborating with Sales departments preferred, but not mandatory 
• Strong SQL skills required; knowledge of SOQL, Python, Spark and other programming languages highly desirable (experience with APIs and parsing JSON a plus)
• Exceptional communication and interpersonal abilities, enabling effective presentation of complex data and insights to both technical and non-technical stakeholders 
• A self-motivated, detail-oriented, and adaptable mindset, essential for thriving in a fast-paced, dynamic work environment

Benefits 

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Employee Assistance Program (EAP)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 1 Pay Range$85,900—$152,000 USDZone 2 Pay Range$77,300—$136,800 USDZone 3 Pay Range$73,000—$129,200 USDZone 4 Pay Range$68,800—$121,600 USD

About Databricks

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook