Sr Data Analyst - GTM Strategy and Operations

SLSQ225R499

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

• San Francisco, CA - physical office (preference)
• Remote - CA 

At Databricks, our mission is to radically simplify the entire data lifecycle—from ingestion to ETL, BI, and through to ML/AI. To achieve this goal, we believe the traditional data warehouse architecture will be replaced by the new Data Intelligence Platform built on the Lakehouse, an open platform that unifies data warehousing and advanced analytics. The GTM Sr. Data Analyst will leverage the Data Intelligence Platform to deliver analytics utilizing our GTM data.

Reporting to the Director, GTM Data Governance & Analytics, the Senior Data Analyst will provide support in the form of data and analytics to both support the greater Strategy and Operations team as well as teams in the field. Support can mean building dashboards, developing curated reporting tables or reports, building forecasts, ad-hoc analysis or other simple models, all with the intention of providing visibility and insight to the field and their businesses.

The role will require technical and project management skills including the ability to work independently and the ability to partner with stakeholders including GTM leaders and others within the broader analytics community. Understanding the technology stack and how the data flows between systems (Salesforce, Xactly, ZoomInfo, etc.) is crucial. The analyst will become an expert on using the Databricks platform and complimentary technologies for analyzing data and presenting insight.

The impact you will have: 

• Build: You will develop analytic tools including dashboards, tables, analyses, and models that will be used by hundreds of employees in the field (technical and non-technical sales) as well as leaders across the globe
• Project Manage: You will both manage the requirements gathering and lead execution of strategic analytic projects
• Relationships: You will build and manage relationships with stakeholders across the company but primarily with the strategy and operations team
• Use Databricks: You will work everyday with a variety of data using Databricks’ Data Intelligence Platform

What we look for:

• You have 5+ years of experience working as an Analyst with B2B sales, marketing, or finance data.
• You are technical and fluent in data. You have intermediate to advanced knowledge of different visualization tools (Tableau, Databricks AI/BI) and SQL. You have experience with Salesforce or equivalent CRM systems. Experience with CRM Analytics or Databricks (or equivalent technologies) as well as python is a plus.
• You have a passion and eye for data, visualization, and UX. You enjoy building dashboards and analyses in order to derive actionable insights from data. Although we focus first on accuracy and integrity of the data, you enjoy going further because you care about the user experience and eventual impact of the tools you build.
• You thrive in partnership with the business. You understand how the business works and how your work impacts the wider GTM team. You seek to understand the “why” behind the requests that you receive and create innovative solutions for business problems.
• You excel in a collaborative environment. You translate team member needs into clear tasks and deliverables for contributors. You work through dependencies, bottlenecks, and tradeoffs with ease. You have a service-oriented mindset. You are curious, creative, and kind.

Benefits

• Medical, Dental, and Vision
• 401(k) Plan
• FSA, HSA and Commuter Benefit Plans
• Equity Awards
• Flexible Time Off
• Paid Parental Leave
• Family Planning
• Fitness Reimbursement
• Annual Career Development Fund
• Home Office/Work Headphones Reimbursement
• Employee Assistance Program (EAP)
• Business Travel Accident Insurance
• Mental Wellness Resources

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 eligib